Subduction zones are home to multiple geohazards driven by the evolution of the regional tectonics, including earthquakes, volcanic eruptions and landslides. Past evolution builds the present-day structure of the margin, while the present-day configuration of the system determines the state-of-stress in which individual hazardous events manifest. Regional simulations of subduction zones provide a tool to synthesize the tectonic history of a region and investigate how geologic features lead to variations in the state of stress across the subduction system. However, it is challenging to design regional models that provide a force-balance that is consistent with the large-scale motion of surrounding tectonic plates while also not over-constraining the solution. Here, we present new models for the Cascadia subduction zone that meet these criteria and demonstrate how the motion of the subducting Juan de Fuca plate can be used to determine the along-strike variations in the viscous (long-term) coupling across the plate boundary. All successful models require lower viscous coupling in the northern section of the trench compared to the central and southern sections. However, due to uncertainties in the geometry of the Cascadia slab, we find that there is a trade-off between along-strike variation in viscous coupling and slab shape. Better constraints on the slab shape, and/or use of other observations are needed to resolve this trade-off. The approach presented here provides a framework for further exploring how geologic features in the overriding plate and the properties of the plate boundary region affect the state-of-stress across this and other subduction zones.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC011895","usgsCitation":"Fraters, M., Billen, M., Naliboff, J., Staisch, L.M., Watt, J., and Li, H., 2025, Using subducting plate motion to constrain Cascadia slab geometry and interface strength: Geochemistry, Geophysics, Geosystems, v. 26, no. 5, e2024GC011895, 32 p., https://doi.org/10.1029/2024GC011895.","productDescription":"e2024GC011895, 32 p.","ipdsId":"IP-175035","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":490152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc011895","text":"Publisher Index Page"},{"id":486574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -135,\n 52.5\n ],\n [\n -135,\n 37.5\n ],\n [\n -110,\n 37.5\n ],\n [\n -110,\n 52.5\n ],\n [\n -135,\n 52.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Fraters, Menno","contributorId":355883,"corporation":false,"usgs":false,"family":"Fraters","given":"Menno","affiliations":[{"id":84852,"text":"GFZ Research Center for Geosciences","active":true,"usgs":false}],"preferred":false,"id":938348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billen, Magali","contributorId":333643,"corporation":false,"usgs":false,"family":"Billen","given":"Magali","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":938349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naliboff, John","contributorId":355884,"corporation":false,"usgs":false,"family":"Naliboff","given":"John","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":938350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Haoyuan","contributorId":355885,"corporation":false,"usgs":false,"family":"Li","given":"Haoyuan","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":938353,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267491,"text":"70267491 - 2025 - Modeling individual-level and population-level nest success of California Condors from movement data","interactions":[],"lastModifiedDate":"2025-05-27T14:03:49.537407","indexId":"70267491","displayToPublicDate":"2025-05-23T08:44:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling individual-level and population-level nest success of California Condors from movement data","docAbstract":"The California Condor (Gymnogyps californianus) is a critically endangered species with populations that are not currently self-sustaining. Although understanding nest success is key to understanding trends in their populations, field monitoring of condor nests has become increasingly challenging as the number of nesting condors has increased and their range has expanded. We investigated whether California Condor nest fate could be accurately estimated from telemetry data with limited field observations. Our study focused on the southern California population of California Condors (2015–2022), and we used a recently published Bayesian hierarchical modeling framework that combines movement data and occasional field observations to estimate individual-level and population-level nest success. The model detected shifts in space use to categorize if each nest failed or if a young fledged. Estimated model parameters suggested that after nest failure, condors shifted toward more expansive space use. Additional field observations, not included as data in the model, provided evidence that we accurately categorized nest fate for 63 out of 65 California Condor nesting attempts. Finally, we scaled individual-level reproductive success to estimate annual population-level nesting success. These methods offer managers a way to reduce field monitoring efforts while still allowing for estimation of nest success, which will be key as the breeding populations of California Condors continue to grow and become more widely spread across the landscape.
","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/jrr2464","usgsCitation":"Blackburn, A., Eisaguirre, J.M., Brandt, J.C., Punzalan, A., Mcmahon, L., Astell, M., Seal Faith, N., Meyer, D.J., and Sandhaus, E., 2025, Modeling individual-level and population-level nest success of California Condors from movement data: Journal of Raptor Research, v. 59, no. 3, jrr2464, 11 p., https://doi.org/10.3356/jrr2464.","productDescription":"jrr2464, 11 p.","ipdsId":"IP-169837","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2464","text":"Publisher Index Page"},{"id":486571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.32211025552813,\n 36.28940419433357\n ],\n [\n -120.00478872484904,\n 34.43478894822218\n ],\n [\n -118.61047283563802,\n 34.31101307176946\n ],\n [\n -117.16910974890232,\n 34.36199636242087\n ],\n [\n -117.12500300122358,\n 35.49657369871312\n ],\n [\n -118.83340436132296,\n 37.334518704354934\n ],\n [\n -121.32211025552813,\n 36.28940419433357\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blackburn, Andrea","contributorId":355921,"corporation":false,"usgs":false,"family":"Blackburn","given":"Andrea","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":938383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Joseph C.","contributorId":288474,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":61768,"text":"U.S. Fish and Wildlife Service, Hopper Mountain National Wildlife Refuge Complex, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":938384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Punzalan, Arianna","contributorId":355922,"corporation":false,"usgs":false,"family":"Punzalan","given":"Arianna","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcmahon, Laura","contributorId":275577,"corporation":false,"usgs":false,"family":"Mcmahon","given":"Laura","email":"","affiliations":[],"preferred":false,"id":938386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Astell, Molly","contributorId":199753,"corporation":false,"usgs":false,"family":"Astell","given":"Molly","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seal Faith, Nadya E.","contributorId":355923,"corporation":false,"usgs":false,"family":"Seal Faith","given":"Nadya E.","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meyer, David J.","contributorId":149174,"corporation":false,"usgs":false,"family":"Meyer","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":938389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sandhaus, Estelle A.","contributorId":355924,"corporation":false,"usgs":false,"family":"Sandhaus","given":"Estelle A.","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938390,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70268944,"text":"70268944 - 2025 - Northward migrations of nonbreeding Bald Eagles from Arizona, USA.","interactions":[],"lastModifiedDate":"2025-07-11T15:26:43.911174","indexId":"70268944","displayToPublicDate":"2025-05-23T08:22:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Northward migrations of nonbreeding Bald Eagles from Arizona, USA.","docAbstract":"Knowledge of the spatiotemporal patterns of migratory and nonbreeding-season movements by animals is critical for conservation, but can be difficult to obtain if animals move far from known breeding territories and across administrative and country borders. To understand the migratory movements of Bald Eagles (Haliaeetus leucocephalus) originating from a demographically closed population in Arizona, USA, we deployed GPS transmitters on 24 juveniles and 2 nonbreeding adult eagles between 2017 and 2023. We identified common migration routes, stopover locations, and migration phenology. Eagles moved north from Arizona during the population's post-breeding period in the boreal spring and summer, and returned south in autumn in advance of the breeding season. Eagles migrated along two primary routes: (1) along the Wasatch Mountains in Utah and extending into the Rocky Mountains of southern Idaho, and (2) through eastern Nevada and along the Rocky Mountains in western and northern Idaho. Stopover locations were frequently near lakes and rivers. Recent fledglings began migration later than older individuals and 15 of 16 of these juveniles that survived until the following breeding season returned to Arizona. The individual that did not return showed evidence of permanent emigration to northern California. Our results contribute to a growing understanding of avian migration routes within the Pacific Flyway and the diverse migration strategies, including northward migration following the breeding season, exhibited across raptor populations. We highlight that explicit studies of juveniles, subadults, and nonbreeding adults are key to understanding avian migration dynamics and identifying opportunities for conservation.
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\"}}]}","volume":"59","issue":"3","noUsgsAuthors":false,"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":942685,"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":942686,"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":942687,"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":942688,"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":942689,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270740,"text":"70270740 - 2025 - Comparing surgery time and short-term incision healing for Largemouth Bass using smooth- and barbed-absorbable sutures","interactions":[],"lastModifiedDate":"2025-08-25T15:26:42.595287","indexId":"70270740","displayToPublicDate":"2025-05-23T08:22:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparing surgery time and short-term incision healing for Largemouth Bass using smooth- and barbed-absorbable sutures","docAbstract":"Objective
Barbed sutures have become increasingly favored over traditional smooth sutures in human medicine but remain understudied in fisheries biotelemetry applications. Our objectives were to (1) compare surgery time and recovery time for Largemouth Bass Micropterus nigricans when using smooth- versus barbed-absorbable sutures to close the incisions and (2) compare the short-term healing rates of incisions that were closed with the two sutures.
Methods
We conducted a surgical trial using two incision closure methods: a smooth suture method, which used three interrupted sutures, and a barbed suture method, which used a running style suture. Surgery and surgical recovery times were recorded for each surgery. At 14 d postsurgery, each incision was scored for openness and inflammation.
Results
Barbed sutures (median surgery time = 133.5 s) resulted in higher surgical efficiency than smooth sutures (median surgery time = 255.0 s). Surgical recovery time did not differ between the two suture types. Mortality did not differ between suture types (overall mortality = 21%) and was similar to previously reported mortality rates. Incision site inflammation and openness were variable but did not differ between suture types.
Conclusions
Our results indicate that barbed sutures may increase surgical efficiency while maintaining currently observed survival and healing rates for Largemouth Bass.
","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf028","usgsCitation":"Stevens, J.N., Vilchez, M., Bryant, D.M., Delaney, S.D., Fermin, L.R., Fuqua, Z.W., Maddux, A.S., Rogers, J.L., Rummage, B.A., and Brewer, S., 2025, Comparing surgery time and short-term incision healing for Largemouth Bass using smooth- and barbed-absorbable sutures: North American Journal of Fisheries Management, v. 45, no. 3, p. 502-508, https://doi.org/10.1093/najfmt/vqaf028.","productDescription":"7 p.","startPage":"502","endPage":"508","ipdsId":"IP-171393","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jeffery N.","contributorId":360295,"corporation":false,"usgs":false,"family":"Stevens","given":"Jeffery","middleInitial":"N.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vilchez, Mariaguadalupe","contributorId":351761,"corporation":false,"usgs":false,"family":"Vilchez","given":"Mariaguadalupe","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, Daniel M.","contributorId":360296,"corporation":false,"usgs":false,"family":"Bryant","given":"Daniel","middleInitial":"M.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delaney, Samuel D.","contributorId":360297,"corporation":false,"usgs":false,"family":"Delaney","given":"Samuel","middleInitial":"D.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fermin, Lisa R.","contributorId":360298,"corporation":false,"usgs":false,"family":"Fermin","given":"Lisa","middleInitial":"R.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuqua, Zane W.","contributorId":360299,"corporation":false,"usgs":false,"family":"Fuqua","given":"Zane","middleInitial":"W.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maddux, Aiden S.","contributorId":360300,"corporation":false,"usgs":false,"family":"Maddux","given":"Aiden","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rogers, Jamie L.","contributorId":360301,"corporation":false,"usgs":false,"family":"Rogers","given":"Jamie","middleInitial":"L.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946953,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rummage, Blake A.","contributorId":360302,"corporation":false,"usgs":false,"family":"Rummage","given":"Blake","middleInitial":"A.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946954,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946955,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70267708,"text":"70267708 - 2025 - Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation","interactions":[],"lastModifiedDate":"2025-08-04T15:49:49.145589","indexId":"70267708","displayToPublicDate":"2025-05-23T08:05:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation","docAbstract":"Dryland degradation from unsustainable land use and increasing aridity often manifests as bare, interconnected areas that facilitate the loss or redistribution of resources (soil, seeds, and nutrients) through wind and run-off. Physical structures like branches and stick bundles, which disrupt these pathways and retain resources, are crucial for rehabilitation and restoration. Connectivity modifiers or ConMods, which are galvanized mesh structures that mimic low stature vegetation, are tools specifically designed to interrupt connected pathways and help reinforce overall site stability. Yet, how to effectively and consistently use ConMods to achieve site stability has not been thoroughly tested. Here, we used the Aeolian EROsion model to investigate the combined effects of ConMod height, porosity, and spacing on simulated horizontal sediment flux, a key indicator of site stability. We assessed ConMod performance as percent reduction in predicted sediment flux versus a bare, unvegetated 10,000 m2 area for a range of horizontal sediment flux. Additionally, in a field experiment, ConMods increased litter retention by up to 15.6 mm compared to bare ground plots, demonstrating their potential to enhance both soil stabilization and resource retention. These findings underscore the potential of ConMods as flexible, cost-effective tools that interrupt positive feedbacks to degradation and provide measurable benchmarks for restoration success.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.70055","usgsCitation":"Young, K., Edwards, B.L., Duniway, M.C., and Webb, N.P., 2025, Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation: Restoration Ecology, v. 33, no. 6, e70055, 12 p., https://doi.org/10.1111/rec.70055.","productDescription":"e70055, 12 p.","ipdsId":"IP-167354","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":486734,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":488448,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70055","text":"Publisher Index Page"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.03506777638498,\n 38.4673190723868\n ],\n [\n -110.03506777638498,\n 38.10519345942603\n ],\n [\n -109.53094559272262,\n 38.10519345942603\n ],\n [\n -109.53094559272262,\n 38.4673190723868\n ],\n [\n -110.03506777638498,\n 38.4673190723868\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":938595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Brandon L.","contributorId":215510,"corporation":false,"usgs":false,"family":"Edwards","given":"Brandon","email":"","middleInitial":"L.","affiliations":[{"id":39270,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":938596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":938597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":938598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262002,"text":"cir1545 - 2025 - Cooperative Fish and Wildlife Research Units Program—2023 Year-in-Review","interactions":[],"lastModifiedDate":"2025-05-23T13:56:44.944271","indexId":"cir1545","displayToPublicDate":"2025-05-22T16:25:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1545","displayTitle":"Cooperative Fish and Wildlife Research Units Program—2023 Year-in-Review","title":"Cooperative Fish and Wildlife Research Units Program—2023 Year-in-Review","docAbstract":"Established in 1935, the U.S. Geological Survey (USGS) Cooperative Fish and Wildlife Research Units Program is a unique cooperative partnership among State fish and wildlife agencies, host universities, the Wildlife Management Institute, USGS, and the U.S. Fish and Wildlife Service. Designed to meet the scientific needs of natural resource management agencies and to produce trained wildlife management professionals, the program has grown from the original nine wildlife-only Units to a program that, as of 2024, includes 43 Units located on university campuses in 41 States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1545","programNote":"Ecosystems Mission Area, Cooperative Fish and Wildlife Research Units Program","usgsCitation":"Irwin, E.R., Murphy, C.E., Childs, D.E., Dennerline, D.E., and Mawdsley, J.R., 2025, Cooperative Fish and Wildlife Research Units Program—2023 Year-in-Review: U.S. Geological Survey Circular 1545, 123 p., https://doi.org/10.3133/cir1545.","productDescription":"vi, 123 p.","numberOfPages":"123","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-163351","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":465890,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1545/coverthb.jpg"},{"id":465891,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1545/cir1545.pdf","text":"Report","size":"98.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1545 PDF"}],"contact":"Cooperative Research Units
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 303
Reston, VA 20192
Director, National Civil Applications Center
National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 562
Reston, VA 20192
Email: cac@usgs.gov
","tableOfContents":"The U.S. Geological Survey is working with Federal land management agencies to develop a series of science syntheses to support National Environmental Policy Act (NEPA) analyses. This report synthesizes science information about the potential effects of nonmotorized recreation on ungulates in the western United States. We conducted a structured literature search to find published science, data, and analysis methods about the characteristics of nonmotorized recreation, ungulate exposure and response to nonmotorized recreation, and approaches to mitigate negative effects of nonmotorized recreation on ungulates. The sections of the report align with standard elements of the NEPA analysis process. We found that timing, intensity, duration, and spatial distribution of nonmotorized recreation are important factors to understand when assessing effects of recreation on ungulates. Several aspects of ungulate biology, which vary by species, population, and individual, affect ungulate susceptibility to effects from recreation, including diet, migration and movement, and seasonal biology. Techniques for assessing effects include basic spatial analyses based on buffers around trails and recreation sites and more technical analytical methods based on displacement or avoidance of recreation sites. Options for mitigating negative effects of nonmotorized recreation on ungulates include timing and type-of-use restrictions, recreator education, and project design features to avoid human-ungulate conflicts. Public land managers can use this report by incorporating it by reference in NEPA analyses or as a general reference to find literature or identify gaps in the literature about the effects of noise from nonmotorized recreation on ungulates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255014","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Jordan, S.E., Ganz, T.R., Rutherford, T.K., Blocker, M.J., Domschke, C.T., Klasner, F.L., Masters, E.H., Morgan, T.A., Ratajczak, D.R., Teige, E.C., and Carter, S.K., 2025, Effects of nonmotorized recreation on ungulates in the western United States—A science synthesis to inform National Environmental Policy Act analyses: U.S. Geological Survey Scientific Investigations Report 2025–5014, 60 p., https://doi.org/10.3133/sir20255014.","productDescription":"x, 60 p.","onlineOnly":"Y","ipdsId":"IP-164198","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489405,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255014/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":489396,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5014/sir20255014.xml","description":"SIR 2025-5014"},{"id":489395,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5014/images"},{"id":486381,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20235114","text":"Effects of Noise from Oil and Gas Development on Ungulates and Small Mammals—A Science Synthesis to Inform National Environmental Policy Act Analyses"},{"id":486387,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245087","text":"Effects of Noise from Oil and Gas Development on Raptors and Songbirds—A Science Synthesis to Inform National Environmental Policy Act Analyses"},{"id":486378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5014/coverthb2.jpg"},{"id":486382,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20235132","text":"Effects of Culverts on Habitat Connectivity in Streams—A Science Synthesis to Inform National Environmental Policy Act Analyses"},{"id":486379,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5014/sir20255014.pdf","text":"Report","size":"4.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5014"},{"id":486380,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20243028","text":"Structured Science Syntheses to Inform Decision Making on Federal Public Lands"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
The calcified structures of fishes provide insight into their periodic growth rates and can be combined with other biological variables to identify metrics such as size or age at maturity and mortality rates. Collecting this information on growth and life history can help evaluate the success of conservation efforts and inform future management decisions for a species in need. However, before these life history data can be applied to larger stock assessments that direct management decisions, confidence in the validity of the data needs to be reported through metrics of accuracy and precision. For this report, we assessed the bias and precision of paired reader estimations of spawning marks on scales of Blueback herring (Alosa aestivalis) collected in the U.S. Fish & Wildlife (USFWS) Annual Adult River Herring Stock Assessment for the lower Connecticut River basin. The paired reads on scales from a total of 8,698 fish over the ten years of the long term monitoring program were evaluated for the annual presence of systematic bias and precision using a combination of qualitative (i.e., frequency tables) and quantitative (i.e., Evan’s and Hoenig’s Test of Symmetry, and Coefficient of Variation (CV) calculations) analyses. While seven out of the ten survey years had systematic bias detected by the tests of symmetry, only three years (2013, 2016, 2018) had imprecision values >10% CV threshold. Data were further categorized into specific age classes within survey years to increase our resolution on where bias and imprecision was most prevalent. While the ability for accurate bias detection was limited by sufficient sample sizes (>25 fish), average imprecision values increased with age, and median age classes (4 through 6) commonly had bias detected. However, the removal of insufficient age classes prior to calculating average annual CV did not significantly change the initial average. Lastly, 2023, which was the first year to implement a standardized training procedure prior to production estimating, had the highest precision for both the annual average and specific age classes compared to all prior survey years. This standardized training procedure will continue to be used by USFWS for the lower Connecticut River tributaries, and can be modified for other river systems. Overall, this report’s results highlight the importance of assessing precision and encourage the standardization of spawning mark identification quality control and assurance for future studies. With more quality assessments and baseline information on precision and bias, there can be more beneficial discussion on defining thresholds and how to implement spawning history variability into catch curve analyses.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css36742600","usgsCitation":"Stephens, J.B., Jordaan, A., Perkins, D., Sprankle, K., and Roy, A.H., 2025, Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed: Cooperator Science Series CSS-168-2025, ii, 72 p., https://doi.org/10.3996/css36742600.","productDescription":"ii, 72 p.","ipdsId":"IP-176656","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Connecticut River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.96748212492314,\n 42.29494671693686\n ],\n [\n -72.95372317204433,\n 41.28995606733855\n ],\n [\n -72.16868601132036,\n 41.26947837383972\n ],\n [\n -72.16868601132036,\n 42.30090777357515\n ],\n [\n -72.96748212492314,\n 42.29494671693686\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, Jacqueline B.","contributorId":360502,"corporation":false,"usgs":false,"family":"Stephens","given":"Jacqueline","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":947139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordaan, Adrian","contributorId":257709,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":947140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David","contributorId":342184,"corporation":false,"usgs":false,"family":"Perkins","given":"David","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprankle, Kenneth","contributorId":349559,"corporation":false,"usgs":false,"family":"Sprankle","given":"Kenneth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":947142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":947143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267811,"text":"70267811 - 2025 - Monitoring visitor activity and informal trail disturbance in Yosemite Valley meadows to assess temporal changes in use and impacts","interactions":[],"lastModifiedDate":"2025-06-03T15:52:20.268589","indexId":"70267811","displayToPublicDate":"2025-05-22T08:47:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5520,"text":"Journal of Outdoor Recreation and Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring visitor activity and informal trail disturbance in Yosemite Valley meadows to assess temporal changes in use and impacts","docAbstract":"Montane meadows provide vital habitat that supports ecosystems, regulate hydrological processes, and offer valuable recreational opportunities. Meadows account for 3 % of Yosemite National Park's area, including Yosemite Valley, and are particularly susceptible to human impacts such as formation of informal trails. We collected observational data on visitor activity and quantified social trail disturbance to compare with resource monitoring datasets and through similar parameters to Walden-Schreiner and Leung (2013) who studied visitor use and behavior in three Yosemite Valley meadows in 2011. We documented change in number of visitors per hour and primary activity pursued. We also compared trends of meadow disturbance (informal trail length and disturbed area) from the early 2000s - 2023. Informal trail length at El Capitan Meadow decreased from 2004 to 2018, followed by recent increases. Disturbed area for Cooks A, Sentinel A, Slaughterhouse B, Stoneman A, and Stoneman B sub-meadows increased from 2006 to 2023. Between 2011 and 2023, the proportion of those engaged in active versus stationary pursuits showed that visitors engaged in more active pursuits in two of three meadows. Moreover, there were >3.5 times more visitors per hour in Cooks, El Capitan, and Leidig meadows in 2023 compared to 2011, yet, most visitors utilized designated trails. Meadow locational context was linked to activity preference and types of impacts. Management strategies, such as fencing and signage have been effective at minimizing impacts in several meadows. Parsing nuances of informal trail use and drivers of disturbance for various meadows is crucial for informed park management decisions and actions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jort.2025.100896","usgsCitation":"Shiflett, S., Jenkins, J., Mattos, R., Thiry, K., Ibsen, P.C., Booher, M., Tricomi, A., and Athearn, N.D., 2025, Monitoring visitor activity and informal trail disturbance in Yosemite Valley meadows to assess temporal changes in use and impacts: Journal of Outdoor Recreation and Tourism, v. 50, 100896, 13 p., https://doi.org/10.1016/j.jort.2025.100896.","productDescription":"100896, 13 p.","ipdsId":"IP-172211","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jort.2025.100896","text":"Publisher Index Page"},{"id":489476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.73284138722612,\n 37.993305694720945\n ],\n [\n -119.73284138722612,\n 37.66294383877451\n ],\n [\n -119.39779065426013,\n 37.66294383877451\n ],\n [\n -119.39779065426013,\n 37.993305694720945\n ],\n [\n -119.73284138722612,\n 37.993305694720945\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shiflett, Sheri A.","contributorId":347753,"corporation":false,"usgs":false,"family":"Shiflett","given":"Sheri A.","affiliations":[{"id":39509,"text":"National Park Service, Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":938991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Jeffery S.","contributorId":347754,"corporation":false,"usgs":false,"family":"Jenkins","given":"Jeffery S.","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":938992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattos, Rachel F.","contributorId":347755,"corporation":false,"usgs":false,"family":"Mattos","given":"Rachel F.","affiliations":[{"id":39509,"text":"National Park Service, Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":938993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiry, Kai","contributorId":356273,"corporation":false,"usgs":false,"family":"Thiry","given":"Kai","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":938994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":938995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Booher, Melissa","contributorId":356275,"corporation":false,"usgs":false,"family":"Booher","given":"Melissa","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":938996,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tricomi, Angela","contributorId":356276,"corporation":false,"usgs":false,"family":"Tricomi","given":"Angela","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":938997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Athearn, Nicole D","contributorId":221011,"corporation":false,"usgs":false,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D","affiliations":[{"id":40310,"text":"NPS, Yosemite National Park, CA","active":true,"usgs":false}],"preferred":false,"id":938998,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267107,"text":"fs20253027 - 2025 - Enhanced geothermal systems electric-resource assessment for the Great Basin, southwestern United States","interactions":[],"lastModifiedDate":"2025-08-07T21:23:21.965161","indexId":"fs20253027","displayToPublicDate":"2025-05-22T08:17:48","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3027","displayTitle":"Enhanced Geothermal Systems Electric-Resource Assessment for the Great Basin, Southwestern United States","title":"Enhanced geothermal systems electric-resource assessment for the Great Basin, southwestern United States","docAbstract":"The U.S. Geological Survey recently (2025) completed a provisional assessment of the geothermal-electric resources associated with high-temperature, low-permeability rock formations of the Great Basin, Southwestern United States. If sufficient technological advances to commercialize enhanced geothermal systems occur, then a current best provisional estimate for electric-power generation capacity of 135 gigawatts electric are available from the upper 6 kilometers of the Earth’s crust. This estimate is a potential substantial increase of the installed geothermal electricity-generating capacity from <1 to 10 percent of current total U.S. power production capacity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253027","programNote":"Energy and Mineral Resources Mission Area—Energy Resources Program","usgsCitation":"Burns, E.R., Williams, C.F., and DeAngelo, J., 2025, Enhanced geothermal systems electric-resource assessment for the Great Basin, southwestern United States: U.S. Geological Survey Fact Sheet 2025–3027, 4 p. https://doi.org/10.3133/fs20253027.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","ipdsId":"IP-177645","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":493778,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118578.htm","linkFileType":{"id":5,"text":"html"}},{"id":486026,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14LU7WD","text":"USGS data release","description":"USGS data release","linkHelpText":"Data Estimating Enhanced Geothermal Systems (EGS) Electric-Resources for the Great Basin, USA"},{"id":486022,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3027/fs20253027.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3027 PDF"},{"id":486021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3027/coverthb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.92749394923595,\n 35.49948391514789\n ],\n [\n -113.44714007770372,\n 37.284535141996415\n ],\n [\n -110.54433535091547,\n 41.018998252584026\n ],\n [\n -111.06210525110734,\n 43.04655379942898\n ],\n [\n -113.6957417348722,\n 42.704446111080244\n ],\n [\n -117.31076594348397,\n 42.992280758630415\n ],\n [\n -122.0302036294112,\n 43.77202682002738\n ],\n [\n -121.44656418460002,\n 40.43779341701659\n ],\n [\n -119.84395373047022,\n 38.18593468324721\n ],\n [\n -115.84611645924261,\n 34.46059631275067\n ],\n [\n -114.92749394923595,\n 35.49948391514789\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
Renibacterium salmoninarum, the cause of bacterial kidney disease (BKD), severely impacts salmonid populations. Much of our understanding of the BKD pathology in salmonids comes from evaluating fatal infections in wild populations or spawning Pacific Northwest salmonids. Our study investigated the histological progression and bacterial load dynamics of R. salmoninarum infection in Chinook salmon following intraperitoneal injection to enhance understanding of the disease’s dynamics. Seventy presmolt salmon were injected with the ATCC-33209 isolate of R. salmoninarum and monitored over 10 wk. Histological signs of disease were observed in spleen and liver tissues at 1 wk post-injection and in kidney tissues at 4 wk post-injection, with signs of disease increasing over time. Additionally, histopathological analysis revealed splenic and hepatic capsulitis (coelomitis), individual hepatocyte necrosis, progressive granulomatous hepatitis, splenitis, and nephritis with necrosis. Gram staining confirmed the presence of Gram-positive bacteria within macrophages and extracellularly in infected tissues. Quantitative PCR revealed significant increases in bacterial loads in both kidney and liver tissues over the study period, with higher bacterial loads observed in the kidney tissue. Bacterial load was strongly correlated with disease stage, with peak bacterial burdens coinciding with the most severe histological changes. Our study provides a comprehensive account of R. salmoninarum infection and disease progression in Chinook salmon after intraperitoneal injection.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03852","usgsCitation":"Dils, R., Firestone, T., Schaffer, P., Winkelman, D.L., and Fetherman, E., 2025, Histological progression and bacterial load dynamics of Renibacterium salmoninarum in Chinook salmon Oncorhynchus tshawytscha: Diseases of Aquatic Organisms, v. 162, p. 85-97, https://doi.org/10.3354/dao03852.","productDescription":"13 p.","startPage":"85","endPage":"97","ipdsId":"IP-170058","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490168,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03852","text":"Publisher Index Page"},{"id":489379,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"162","noUsgsAuthors":false,"publicationDate":"2025-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Dils, Riley E.","contributorId":356264,"corporation":false,"usgs":false,"family":"Dils","given":"Riley E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":938929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firestone, Tawni B.R.","contributorId":356266,"corporation":false,"usgs":false,"family":"Firestone","given":"Tawni B.R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":938930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaffer, Paula A.","contributorId":356267,"corporation":false,"usgs":false,"family":"Schaffer","given":"Paula A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":938931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fetherman, Eric R.","contributorId":356269,"corporation":false,"usgs":false,"family":"Fetherman","given":"Eric R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":938933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267233,"text":"fs20253023 - 2025 - Assessment of conventional and continuous oil and gas resources in the Mowry Composite Total Petroleum System in the Southwestern Wyoming Province, Wyoming, Colorado, and Utah, 2024","interactions":[],"lastModifiedDate":"2025-08-07T21:21:20.730288","indexId":"fs20253023","displayToPublicDate":"2025-05-21T11:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3023","displayTitle":"Assessment of Conventional and Continuous Oil and Gas Resources in the Mowry Composite Total Petroleum System in the Southwestern Wyoming Province, Wyoming, Colorado, and Utah, 2024","title":"Assessment of conventional and continuous oil and gas resources in the Mowry Composite Total Petroleum System in the Southwestern Wyoming Province, Wyoming, Colorado, and Utah, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional and continuous resources of 473 million barrels of oil and 27 trillion cubic feet of gas in the Mowry Composite Total Petroleum System in the Southwestern Wyoming Province, Wyoming, Colorado, and Utah.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253023","programNote":"National and Global Petroleum Assessment","usgsCitation":"Hearon, J.S., Schenk, C.J., Gelman, S.E., Johnson, B.G., Lagesse, J.H., Mercier, T.J., Leathers-Miller, H.M., Timm, K.K., Drake, R.M., II, Cicero, A.D., and Le, P.A., 2025, Assessment of conventional and continuous oil and gas resources in the Mowry Composite Total Petroleum System in the Southwestern Wyoming Province, Wyoming, Colorado, and Utah, 2024: U.S. Geological Survey Fact Sheet 2025–3023, 4 p., https://doi.org/10.3133/fs20253023.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171719","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":493777,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118581.htm","linkFileType":{"id":5,"text":"html"}},{"id":486357,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253023/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3023"},{"id":486076,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3023/coverthb.jpg"},{"id":486080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3023/fs20253023.pdf","text":"Report","size":"1.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3023"},{"id":486081,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1J8WGJG","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Southwestern Wyoming Province, Mowry Shale Conventional and Continuous Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":486289,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3023/images"},{"id":486290,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3023/fs20253023.xml","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3023"}],"country":"United States","state":"Colorado, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.93624300443219,\n 43.211509034130984\n ],\n [\n -110.93624300443219,\n 39.24100524328816\n ],\n [\n -106.08413558819743,\n 39.24100524328816\n ],\n [\n -106.08413558819743,\n 43.211509034130984\n ],\n [\n -110.93624300443219,\n 43.211509034130984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The bedrock geology of the Bellows Falls 7.5- x 15-minute quadrangle, Vermont and New Hampshire, consists of polydeformed Ordovician to Devonian metasedimentary, metavolcanic, and metaplutonic rocks of the Connecticut Valley trough, Bronson Hill anticlinorium (or Bronson Hill terrane), and the Central Maine terrane. Previous work in this area includes a 1:62,500-scale published map and text (1946), State geologic maps of New Hampshire (1997) and Vermont (2011), and various maps and reports presented largely as parts of field trip guidebooks. A provisional open-file map of the geology of the Vermont part of the Bellows Falls 7.5- x 15-minute quadrangle, completed in 1997, is incorporated and revised on this map based on additional fieldwork.
This study recognizes three major structural levels from west to east and from lowest to highest: (1) autochthonous rocks of the Connecticut Valley trough; (2) allochthonous rocks of the New Hampshire sequence and Bronson Hill arc in the Monroe thrust sheet (or nappe), including the Skitchewaug nappe; and (3) allochthonous rocks of the Fall Mountain thrust sheet or nappe.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3535","collaboration":"Prepared in cooperation with the State of Vermont, Vermont Agency of Natural Resources, Vermont Geological Survey; and the State of New Hampshire, Department of Environmental Services, New Hampshire Geological Survey","usgsCitation":"Merschat, A.J., Walsh, G.J., Valley, P.M., McAleer, R.J., and Armstrong, T.R., 2025, Bedrock geologic map of the Bellows Falls 7.5- x 15-minute quadrangle, Windham and Windsor Counties, Vermont, and Sullivan and Cheshire Counties, New Hampshire: U.S. Geological Survey Scientific Investigations Map 3535, 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3535.","productDescription":"2 Sheets: 57.26 x 41.62 inches and 61.56 x 35.74 inches; Data Release","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101604","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":493775,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118580.htm","linkFileType":{"id":5,"text":"html"}},{"id":486061,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3535/coverthb.jpg"},{"id":486062,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3535/sim3535_sheet1.pdf","text":"Sheet 1","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3535 Sheet 1 PDF"},{"id":486063,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3535/sim3535_sheet2.pdf","text":"Sheet 2","size":"5.86 MB","description":"SIM 3535 Sheet 2 PDF"},{"id":486065,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P172BBFC","text":"USGS data release","linkHelpText":"Database for the bedrock geologic map of the Bellows Falls 7.5- x 15-Minute Quadrangle, Windham and Windsor Counties, Vermont, and Sullivan and Cheshire Counties, New Hampshire"}],"country":"United States","state":"New Hampshire, Vermont","county":"Cheshire County, Sullivan County, Windham County, Windsor County","otherGeospatial":"Bellows Falls 7.5- x 15-minute quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.5,\n 43.25\n ],\n [\n -72.5,\n 43.125\n ],\n [\n -72.25,\n 43.125\n ],\n [\n -72.25,\n 43.25\n ],\n [\n -72.5,\n 43.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Florence Bascom Geoscience Center
U.S. Geological Survey
Mailstop 926A
12201 Sunrise Valley Drive
Reston, VA 20192
Foragers on patchy landscapes must acquire sufficient resources despite uncertainty in the location and amount of the resources. Optimal Foraging Theory posits that foragers deal with this uncertainty by using strategies that optimize resource intake within foraging periods. For species such as wading birds, this optimization is closely linked to their survival and reproductive success. Understanding the influence of patch selection on individual resource intake and foraging distribution is therefore crucial. In this study, we simulated how resource distribution, interference competition, and social cues—such as aggregation behaviors—influence resource intake and foraging spatial distribution. We employed an individual-based model simulating wading bird foraging behaviors, with 900 individuals simultaneously foraging across a landscape with unknown resource distribution. Birds employed one of three patch-finding strategies: random, cue-searching, or hybrid, which uses both searching strategies. Each bird decided whether to remain in a patch based on a prey density threshold. We compared the daily resource intake and foraging distribution of birds across different modeled patch-finding strategies, resource distribution patterns, and the presence or absence of interference competition. Wading birds exhibiting aggregation behavior displayed increased intake rates when resources were concentrated and interference minimal. Aggregation behavior led to a closer match with the ideal free distribution when the prey density threshold was optimal. These findings provide theoretical support that aggregation behavior is effective in scenarios where resources are concentrated in a few patches, social cues are used by relatively few individuals, and interference competition is limited.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2025.111178","usgsCitation":"Lee, H.W., DeAngelis, D., Yurek, S., and Papastamatiou, Y., 2025, Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution: Ecological Modelling, v. 507, 111178, 14 p., https://doi.org/10.1016/j.ecolmodel.2025.111178.","productDescription":"111178, 14 p.","ipdsId":"IP-175552","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2025.111178","text":"Publisher Index Page"},{"id":491277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"507","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":941239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":357336,"corporation":false,"usgs":false,"family":"DeAngelis","given":"Donald L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":941240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":941241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Papastamatiou, Yannis P.","contributorId":356586,"corporation":false,"usgs":false,"family":"Papastamatiou","given":"Yannis P.","affiliations":[{"id":85026,"text":"Biological Sciences, Institute of Environment, Florida International University, 3000 NE 151st Street, 33181 North Miami (Florida), United States of America","active":true,"usgs":false}],"preferred":false,"id":941242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269943,"text":"70269943 - 2025 - White‐tailed deer habitat use and implications for chronic wasting disease transmission","interactions":[],"lastModifiedDate":"2025-08-07T16:31:26.329695","indexId":"70269943","displayToPublicDate":"2025-05-21T09:24:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"White‐tailed deer habitat use and implications for chronic wasting disease transmission","docAbstract":"Animal space use, activity patterns, and habitat selection—and heterogeneity in these patterns—have important implications for where and when infectious diseases are transmitted. White-tailed deer (Odocoileus virginianus) are habitat generalists, with a high degree of heterogeneity in their movement ecology based on sex, age, season, and region. These heterogeneities have important implications for the transmission and management of chronic wasting disease (CWD), which is a deadly prion disease transmitted both directly and indirectly through the environment. As such, favored deer habitats may promote direct interactions between conspecifics or indirect spatial overlap and subsequent environmental transmission. However, little is known about how individual animal space use translates to actual spatial overlap between individuals, leaving uncertainty in how habitat shapes the risk of direct or environmental CWD transmission. In this study, we evaluated seasonal activity patterns, home ranges, and habitat selection for 596 white-tailed deer in southwest Wisconsin, USA, from 2017-2022. We also estimated seasonal encounter distributions—regions where a pair of deer were most likely to encounter each other—for all pairs of deer putatively in different social groups (between-group) in our study, and quantified seasonal variation in the habitat composition of these areas. We found that deer selection for crops, pasture, or grasslands was generally low, relative to forest, but was highest in the post-fawning (summer) and non-breeding (winter) seasons. We observed similar patterns for the habitat composition of encounter distributions, suggesting that crops, pasture, and grasslands may be attractive resources that facilitate between-group transmission. Site fidelity between years was generally high; combined with small female home ranges in the fawning season, this implies that females likely re-use the same small, high-quality fawning habitats from year to year. We found that attraction toward between-group individuals was low during the post-fawning season but high during the breeding (fall) and non-breeding seasons. These results suggest that space use and habitat selection could shape the risk of environmental transmission in the fawning and post-fawning seasons, social selection could favor direct transmission risk in the breeding season, and combined social and habitat selection may shape risk of both direct and environmental transmission during the non-breeding season. We provide a detailed picture of the physiological and social drivers of deer movement through the year, with implications for CWD transmission and management.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wmon.70001","usgsCitation":"Gilbertson, M.L., Ketz, A.C., Hunsaker, M.A., Walsh, D.P., Storm, D.J., and Turner, W.C., 2025, White‐tailed deer habitat use and implications for chronic wasting disease transmission: Wildlife Monographs, v. 217, no. 1, e70001, 47 p., https://doi.org/10.1002/wmon.70001.","productDescription":"e70001, 47 p.","ipdsId":"IP-168016","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wmon.70001","text":"Publisher Index Page"},{"id":493726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.29506381028423,\n 43.10642465075958\n ],\n [\n -91.29506381028423,\n 42.78719726813827\n ],\n [\n -90.43353604760068,\n 42.78719726813827\n ],\n [\n -90.43353604760068,\n 43.10642465075958\n ],\n [\n -91.29506381028423,\n 43.10642465075958\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"217","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Gilbertson, Marie L.J.","contributorId":359152,"corporation":false,"usgs":false,"family":"Gilbertson","given":"Marie","middleInitial":"L.J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":944997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ketz, Alison C.","contributorId":359154,"corporation":false,"usgs":false,"family":"Ketz","given":"Alison","middleInitial":"C.","affiliations":[{"id":85750,"text":"Funga","active":true,"usgs":false}],"preferred":false,"id":944998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunsaker, Matthew A.","contributorId":359155,"corporation":false,"usgs":false,"family":"Hunsaker","given":"Matthew","middleInitial":"A.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":944999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":945000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, Daniel J.","contributorId":359157,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":945001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945002,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267725,"text":"70267725 - 2025 - Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters","interactions":[],"lastModifiedDate":"2025-09-22T15:18:36.884038","indexId":"70267725","displayToPublicDate":"2025-05-21T09:23:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters","docAbstract":"The Pacific Northwest (PNW) of North America has high seismic hazard due to numerous earthquake sources under populated areas. It hosts several tectonic regimes and subregional seismic zones that are hypothesized to have different patterns of earthquake and aftershock occurrence. It is also predisposed to earthquake swarms, which can complicate the statistical modeling of these patterns. We present the first statistical seismicity model of the PNW catalog using the epidemic‐type aftershock sequence (ETAS) framework. We develop a Bayesian inference procedure that provides a stable estimation of both ETAS parameters and their uncertainties for different sets of PNW earthquakes, even those with very sparse catalogs. The Bayesian approach allows us to investigate how parameter estimates change between the intraslab and crustal tectonic regimes, the northern and southern PNW, and when swarms are included and excluded from the catalog. We also utilize our Bayesian framework to calculate parameter estimates under different prior beliefs about PNW seismicity, as well as to propagate catalog measurement errors into ETAS parameter estimates. We discuss the implications of parameter differences across the region for aftershock forecasting for the PNW.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240249","usgsCitation":"Schneider, M., Barall, M., Guttorp, P., Hardebeck, J.L., Michael, A.J., Page, M.T., and van der Elst, N., 2025, Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2219-2236, https://doi.org/10.1785/0120240249.","productDescription":"18 p.","startPage":"2219","endPage":"2236","ipdsId":"IP-170994","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":486723,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -133.48546091610666,\n 52.60993149081935\n ],\n [\n -127.12402970642239,\n 39.04184775255658\n ],\n [\n -117.3837323841093,\n 39.378962497073985\n ],\n [\n -117.06660127855778,\n 51.3962329850375\n ],\n [\n -133.48546091610666,\n 52.60993149081935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guttorp, Peter","contributorId":350934,"corporation":false,"usgs":false,"family":"Guttorp","given":"Peter","affiliations":[{"id":83880,"text":"Norwegian Computing Center","active":true,"usgs":false}],"preferred":false,"id":938653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":938656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270741,"text":"70270741 - 2025 - Reconciling scale using the Resist-Accept-Direct (RAD) Framework to improve management of woody encroachment in grasslands","interactions":[],"lastModifiedDate":"2025-08-22T16:28:13.594774","indexId":"70270741","displayToPublicDate":"2025-05-21T09:19:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Reconciling scale using the Resist-Accept-Direct (RAD) Framework to improve management of woody encroachment in grasslands","docAbstract":"Implementing strategies to navigate large-scale ecological transitions in grasslands is one of this century's greatest conservation challenges. In the US Great Plains, managing areas impacted by woody transitions have been reactive, short-lived, costly, and ineffective. Along with current technological innovation in rangeland monitoring, the promise of early warning science is to provide managers with sufficient time to be better prepared for novel signals of ecological change. Combining the science of early warning signals and frameworks such as the Resist – Accept – Direct (RAD) can provide land managers with guidelines to identify proactive strategies when facing ecological change. Using this approach, we found that opportunities to resist woody transitions decreased from 84 % to 60 % between 1990 and 2020 over the entire biome but remained highest in the northern and western Great Plains, which contributes to large scale conservation targets. These are key areas to prioritize resist opportunities. In contrast, 11 % of the biome exhibited early warning transition signals across all hierarchical scales by 2020, a fourfold increase since 1990. Lastly by 2020, 30 % of the biome exhibited early warning signals across multiple but not all scales. Here, efforts may be more effective when management is directed to conserve fragmented grassland legacies within a woody-dominated matrix and avoid large-scale monocultures of problematic encroaching woody species. Our multi-scale study indicates that 1) anchoring to the last remaining grassland core areas with no early warning of transitions and 2) strategically investing in these intact grasslands may provide the best results for grassland conservation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.125820","usgsCitation":"Scholtz, R., Uden, D.R., Allred, B.W., Donovan, V.M., Maestas, J.D., Morford, S.L., Jones, M.O., Naugle, D.E., Cady, S.M., Fogarty, D.T., Metcalf, A.L., Chaffin, B.C., Allen, C., Roberts, C.P., Rowen, E., Meredith, G.R., Nesbitt, H.K., Williamson, M.A., Gulab, S., Hamlin, S., Lohani, S., and Twidwell, D., 2025, Reconciling scale using the Resist-Accept-Direct (RAD) Framework to improve management of woody encroachment in grasslands: Journal of Environmental Management, v. 387, 125820, 13 p., https://doi.org/10.1016/j.jenvman.2025.125820.","productDescription":"125820, 13 p.","ipdsId":"IP-168014","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2025.125820","text":"Publisher Index Page"},{"id":494535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.39454653811954,\n 49.16869841050328\n ],\n [\n -100.97208373500898,\n 43.309178424283424\n ],\n [\n -103.19994315323261,\n 33.825943793220816\n ],\n [\n -94.82473255675053,\n 32.84125885561559\n ],\n [\n -92.36737038374883,\n 43.37515219536034\n ],\n [\n -96.44583898768245,\n 48.95049791474963\n ],\n [\n -107.39454653811954,\n 49.16869841050328\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"387","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scholtz, Rheinhardt","contributorId":360303,"corporation":false,"usgs":false,"family":"Scholtz","given":"Rheinhardt","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":946956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uden, Daniel R.","contributorId":360304,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","middleInitial":"R.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":946957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allred, Brady W.","contributorId":360305,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","middleInitial":"W.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":946958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Victoria M.","contributorId":360306,"corporation":false,"usgs":false,"family":"Donovan","given":"Victoria","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":946959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maestas, Jeremy D.","contributorId":360307,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy","middleInitial":"D.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":946960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morford, Scott L.","contributorId":360308,"corporation":false,"usgs":false,"family":"Morford","given":"Scott","middleInitial":"L.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":946961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Matthew 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T.","contributorId":360312,"corporation":false,"usgs":false,"family":"Fogarty","given":"Dillon","middleInitial":"T.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":946965,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Metcalf, Alexander L.","contributorId":360313,"corporation":false,"usgs":false,"family":"Metcalf","given":"Alexander","middleInitial":"L.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":946966,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":946967,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Allen, Craig 0000-0002-8777-5989","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":297137,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":946968,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946969,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rowen, Emily","contributorId":360322,"corporation":false,"usgs":false,"family":"Rowen","given":"Emily","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":946970,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Meredith, Gwendwr R.","contributorId":195701,"corporation":false,"usgs":false,"family":"Meredith","given":"Gwendwr","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":946971,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nesbitt, Holly K.","contributorId":360327,"corporation":false,"usgs":false,"family":"Nesbitt","given":"Holly","middleInitial":"K.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":946972,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williamson, Matthew A.","contributorId":360328,"corporation":false,"usgs":false,"family":"Williamson","given":"Matthew","middleInitial":"A.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":946973,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Gulab, Sabrina","contributorId":360329,"corporation":false,"usgs":false,"family":"Gulab","given":"Sabrina","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":946974,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hamlin, Samantha","contributorId":360330,"corporation":false,"usgs":false,"family":"Hamlin","given":"Samantha","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":946975,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lohani, Sapana","contributorId":360331,"corporation":false,"usgs":false,"family":"Lohani","given":"Sapana","affiliations":[{"id":86000,"text":"William and Mary","active":true,"usgs":false}],"preferred":false,"id":946976,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Twidwell, Dirac","contributorId":341491,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":946978,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70267676,"text":"70267676 - 2025 - Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022","interactions":[],"lastModifiedDate":"2025-05-29T14:11:26.313587","indexId":"70267676","displayToPublicDate":"2025-05-21T09:06:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022","docAbstract":"Fire radiative power (FRP) shows promise as a diagnostic and predictive indicator of fire behavior and post-fire effects in Alaska, USA.
To investigate relationships between FRP, vegetation functional groups, and environmental settings in Alaska (2003–2022) under various fire history conditions.
We tested for distinctness of MODIS FRP distributions associated with vegetation classes and fire legacies (frequency and number of previous burns). We used a random forest model to examine relative importance of vegetation class for FRP versus bottom-up biophysical and temporal parameters.
FRP distributions are statistically distinct among vegetation functional groups with contrasting fuel biomass, or within functional groups with contrasting burn characteristics. Location and topography, which constrain vegetation class, strongly determine FRP, and fire history is of lesser importance over the 19-year analysis period.
FRP can be used to identify wildfire consumption in dissimilar vegetation classes but is highly conditioned by geographic location. The complex and evolving vegetation composition of post-fire boreal landscapes precludes a clear association of expected FRP at distinct stages of recovery.
These results can inform further study of FRP as an indicator of fire behavior and fuel consumption and for informing dynamics of post-fire recovery across Alaska.
Digital flood-inundation map libraries for two reaches that constitute 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, were created by the U.S. Geological Survey (USGS) in cooperation with the Papio-Missouri River Natural Resource District. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at Little Papillion Creek at Irvington, Nebr. (USGS station 06610750), Little Papillion Creek at Ak-Sar-Ben at Omaha, Nebr. (USGS station 06610765), and Big Papillion Creek at Q Street at Omaha, Nebr. (USGS station 06610770) streamgages. Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System database at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/.
Flood profiles were computed for two different reaches that constitute 14.8 miles of stream length in the study area by using hydraulic models. The models were calibrated by adjusting roughness coefficients to best represent the current (2022) stage-streamflow relation at the streamgages within the study reach.
The hydraulic models were then used to compute water-surface profiles at 1-foot stage intervals for selected stage ranges to represent various flooding scenarios at the streamgages in each reach. The simulated water-surface profiles then were combined with a digital elevation model using a geographic information system, which had a 10-foot grid spacing to delineate the flooding extents and water depths for each stage. The availability of these flood-inundation maps, along with information regarding current stage from the USGS streamgages, can provide emergency management personnel and residents with information that is critical for flood response activities and post flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255032","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resource District","usgsCitation":"Strauch, K.R., and Hoefer, B.R., 2025, Flood-inundation maps for 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, 2023: U.S. Geological Survey Scientific Investigations Report 2025–5032, 14 p., https://doi.org/10.3133/sir20255032.","productDescription":"Report: vi, 14 p.; Data Release; Dataset","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-152753","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":493771,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118579.htm","linkFileType":{"id":5,"text":"html"}},{"id":485915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5032/coverthb.jpg"},{"id":485916,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5032/sir20255032.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5032"},{"id":485920,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5032/sir20255032.XML"},{"id":485921,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5032/images/"},{"id":485922,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":485923,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OU7E42","text":"USGS data release","linkHelpText":"Flood-inundation geospatial datasets for 14.8 miles of the Little and Big Papillion Creeks in Omaha, Nebraska, 2023"},{"id":485924,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255032/full"}],"country":"United States","state":"Nebraska","city":"Omaha","otherGeospatial":"Little and Big Papillion Creeks","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.15305796306968,\n 41.36725587936067\n ],\n [\n -96.15305796306968,\n 41.117996650104345\n ],\n [\n -95.92667071234595,\n 41.117996650104345\n ],\n [\n -95.92667071234595,\n 41.36725587936067\n ],\n [\n -96.15305796306968,\n 41.36725587936067\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
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Recent geopolitical actions regarding the supply of critical minerals have highlighted both the threats posed by countries dominating a critical mineral supply chain, and the potential mitigations served by alternative supplier countries. However, no systematic quantification exists for the intranational factors that determine such threats or mitigations. This study outlines a methodological framework for quantifying the intranational risk profile of critical mineral sectors and compares them with the sector's international potential for leverage. The four intranational factors of concentration, synchronization, private sector involvement, and regulatory obstacles were analyzed across multiple scales in order to determine an intranational risk score that quantifies the resilience or fragility of the critical mineral sector in question. Network analysis was also separately conducted to identify the most important entities operating across all critical mineral sectors. Finally, this study assessed the critical mineral sector's global share of reserves and production to determine an international risk score that quantifies the country's critical mineral sector's leverage potential. A case study of India showed that two critical mineral sectors with high leverage potential, chromite and barite, were respectively intranationally resilient and fragile. Of the remaining sectors with minimal leverage, five sectors such as aluminum were intranationally resilient and may serve as viable mitigation options for future critical mineral supply. Three sectors such as titanium were intranationally fragile, but recent regulatory developments may both decrease intranational risk and increase international risk, potentially making them major critical mineral sectors in the future.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.resourpol.2025.105625","usgsCitation":"Decarlo, K., 2025, Framework for assessing intranational risk of critical mineral sectors: Case study of India: Resources Policy, v. 106, 105625, 9 p., https://doi.org/10.1016/j.resourpol.2025.105625.","productDescription":"105625, 9 p.","ipdsId":"IP-173580","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":490150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resourpol.2025.105625","text":"Publisher Index Page"},{"id":486518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[80.47672,29.72987],[80.08842,28.79447],[81.0572,28.4161],[81.99999,27.92548],[83.30425,27.36451],[84.67502,27.2349],[85.25178,26.7262],[86.02439,26.63098],[87.22747,26.3979],[88.06024,26.41462],[88.1748,26.81041],[88.04313,27.44582],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[88.83564,27.09897],[89.74453,26.7194],[90.37327,26.87572],[91.21751,26.80865],[92.03348,26.83831],[92.10371,27.45261],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.14603,23.6275],[91.86993,23.62435],[91.70648,22.98526],[91.15896,23.50353],[91.46773,24.07264],[91.91509,24.13041],[92.3762,24.97669],[91.7996,25.14743],[90.87221,25.1326],[89.92069,25.26975],[89.83248,25.96508],[89.35509,26.01441],[88.56305,26.44653],[88.20979,25.76807],[88.93155,25.23869],[88.30637,24.86608],[88.08442,24.50166],[88.69994,24.23371],[88.52977,23.63114],[88.87631,22.87915],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[68.8426,24.35913],[71.04324,24.35652],[70.8447,25.2151],[70.28287,25.72223],[70.16893,26.49187],[69.51439,26.94097],[70.6165,27.9892],[71.77767,27.91318],[72.82375,28.96159],[73.45064,29.97641],[74.42138,30.97981],[74.40593,31.69264],[75.25864,32.27111],[74.45156,32.7649],[74.10429,33.44147],[73.74995,34.3177],[74.2402,34.74889],[75.75706,34.50492],[76.87172,34.65354],[77.83745,35.49401]]]},\"properties\":{\"name\":\"India\"}}]}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Decarlo, Keita Federico 0000-0003-1163-1927","orcid":"https://orcid.org/0000-0003-1163-1927","contributorId":355734,"corporation":false,"usgs":true,"family":"Decarlo","given":"Keita Federico","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":938097,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70267364,"text":"70267364 - 2025 - Clarifying the role of the resist–accept–direct framework in supporting resource management planning processes","interactions":[],"lastModifiedDate":"2025-08-04T15:48:13.165696","indexId":"70267364","displayToPublicDate":"2025-05-20T09:22:17","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":"Clarifying the role of the resist–accept–direct framework in supporting resource management planning processes","docAbstract":"No abstract available.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70062","usgsCitation":"Schuurman, G.W., Carr, W., Hawkins Hoffman, C., Lawrence, D.J., Miller, B.W., Beever, E.A., Brennan, J., Clifford, K.R., Covington, S., Crausbay, S.D., Cravens, A.E., Gross, J.E., Hoang, L., Jackson, S., Miller-Rushing, A., Morrison, W., Nelson, E., O'Malley, R., Peterson, J.O., Porath, M., Prentice, K., Reynolds, J.H., Sethi, S.A., Sofaer, H., and Wilkening, J.L., 2025, Clarifying the role of the resist–accept–direct framework in supporting resource management planning processes: Conservation Biology, v. 39, no. 4, e70062, 5 p., https://doi.org/10.1111/cobi.70062.","productDescription":"e70062, 5 p.","ipdsId":"IP-173692","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487011,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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We analyzed samples collected in 2020 and report that in addition to disordered talc of variable crystallinity, carbonates are a major class of mineral at VDVF. The carbonate minerals include aragonite, calcite, magnesium-rich calcite, and dolomite. Talc and carbonate mineral textures indicate that, rather than replacing volcanic host rock, they precipitate from the mixing of hydrothermal fluids and seawater at the seafloor, occurring in chimneys and surrounding rubble. Alternating precipitation of this mineral assemblage is pervasive, with carbonate minerals typically being succeeded by talc, and with indications that in some cases talc and carbonate minerals replace one another. Stable carbon isotopic data indicate the carbonate minerals originate from the mixing of seawater and hydrothermal fluid, which is supported by U-Th data. Radiocarbon calcite ages and talc 234U-230Th isochron ages indicate mineral ages spanning over thousands to tens of thousands of years. Analyses of these samples illustrate a dynamic system that transitions from carbonate-dominated to Mg-silicate−dominated precipitation over time scales of thousands of years. Our observations raise questions regarding the eventual fate of seafloor precipitates and whether carbonate and silicate minerals in such settings are sequestered and represented in the rock record.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53228.1","usgsCitation":"Gartman, A., Blackburn, T., Frank, K., Lang, S., and Seewald, J., 2025, Kiloyear cycles of carbonate and Mg-silicate replacement at Von Damm hydrothermal vent field: Geology, v. 53, no. 8, p. 668-672, https://doi.org/10.1130/G53228.1.","productDescription":"5 p.","startPage":"668","endPage":"672","ipdsId":"IP-168945","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486283,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487010,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g53228.1","text":"Publisher Index Page"}],"volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackburn, Terrence 0000-0003-0029-0709","orcid":"https://orcid.org/0000-0003-0029-0709","contributorId":259241,"corporation":false,"usgs":false,"family":"Blackburn","given":"Terrence","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":938046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, Kiana","contributorId":355717,"corporation":false,"usgs":false,"family":"Frank","given":"Kiana","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":938047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Susan Q.","contributorId":355719,"corporation":false,"usgs":false,"family":"Lang","given":"Susan Q.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":938048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seewald, Jeffrey S.","contributorId":58758,"corporation":false,"usgs":true,"family":"Seewald","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":938049,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270607,"text":"70270607 - 2025 - Negative growth in body mass of trout and salmon in a small stream network","interactions":[],"lastModifiedDate":"2025-08-21T16:10:47.579059","indexId":"70270607","displayToPublicDate":"2025-05-20T09:02:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Negative growth in body mass of trout and salmon in a small stream network","docAbstract":"In species inhabiting stressful environments, some individuals experience negative growth in body mass during their lives, potentially influencing survival, reproduction, populations, and ecosystems. Using data from a long-term (1997–2015) study of brook trout (Salvelinus fontinalis), brown trout (Salmo trutta), and juvenile Atlantic salmon (Salmo salar) in Massachusetts, USA, we analyzed the frequency, causes, and consequences of seasonal mass loss. Negative growth occurred in 14.8% of observations (3573 instances), with the highest prevalence during summer (June–September). Species differed markedly: 42.5% of juvenile Atlantic salmon, 24.9% of brook trout, but only 7.7% of brown trout exhibited negative growth. The likelihood of mass loss increased with size, age, and low stream flows, particularly in summer. Brook trout in the small or isolated tributaries exhibited less summer mass loss than those in the larger streams. Other factors, including temperature and population density, had minimal or inconsistent effects. Individuals experiencing negative growth, especially brook trout in summer and autumn, were less likely to be re-encountered. As we observed no association of mass loss with movement, this suggests a potential survival cost of negative body mass growth.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0376","usgsCitation":"Letcher, B., Nislow, K., O’Donnell, M., Hayden, M.J., and Dubreuil, T., 2025, Negative growth in body mass of trout and salmon in a small stream network: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-14, https://doi.org/10.1139/cjfas-2024-0376.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-171146","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501009,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1807/144649","text":"External Repository"},{"id":494396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":315442,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":946666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nislow, Keith","contributorId":201434,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":946667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Matthew 0000-0002-9089-2377 mjodonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":167315,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"mjodonnell@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":946668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayden, Michael J. 0000-0002-9010-6831","orcid":"https://orcid.org/0000-0002-9010-6831","contributorId":291388,"corporation":false,"usgs":true,"family":"Hayden","given":"Michael","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":946762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":946670,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267294,"text":"sir20255016 - 2025 - Flood of July 2023 in Vermont","interactions":[],"lastModifiedDate":"2025-08-07T21:13:56.630851","indexId":"sir20255016","displayToPublicDate":"2025-05-19T14:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5016","displayTitle":"Flood of July 2023 in Vermont","title":"Flood of July 2023 in Vermont","docAbstract":"A major storm caused catastrophic flooding in many parts of Vermont on July 9–12, 2023, resulting in millions of dollars in damages. The high amount of rainfall caused several rivers to peak at record levels, in some cases exceeding records set during Tropical Storm Irene in 2011. The U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, collected and analyzed data that characterized the flood in Vermont. The data collected included peak water-surface elevations, taken from high-water marks at bridges, dams, and roads, and peak streamflow and annual exceedance probabilities (AEPs) at streamgages, lake gages, and selected ungaged locations. At 11 of the 80 streamgages with 12 to 94 years of record, the July 2023 peak streamflow was the peak of record. Ten streamgages recorded a peak streamflow with an AEP of less than or equal to 1 percent (greater than or equal to a 100-year recurrence interval).
The July 2023 flood affected many of the same communities as the historical flood caused by Tropical Storm Irene in 2011. Twenty of the 45 continuous-recording streamgages running during both events recorded greater peak streamflows during the July 2023 flood than during Tropical Storm Irene in 2011. Four of the 11 U.S. Geological Survey streamgages with period-of-record maximum peak streamflows observed during the July 2023 flood had previously recorded their maximum period-of-record peak streamflows during Tropical Storm Irene. There were 17 rivers in Vermont that were surveyed for high-water marks during both Tropical Storm Irene and the July 2023 flood. On those 17 rivers, a total of 103 sites contained surveyed high-water marks for both events. Thirty-two of these sites had higher surveyed elevations for the July 2023 flood than Tropical Storm Irene, including Black River in Newport, Black River in Springfield, Jewell Brook, Middlebury River, Missisquoi River, Ottauquechee River, Otter Creek, Wells River, Whetstone Brook, and Winooski River. Peak water-surface elevations were not collected on the Lamoille River in 2011.
Federal Emergency Management Agency flood insurance studies were evaluated in the context of the July 2023 flood. Peak streamflows at streamgages and nearby locations were assessed to determine the influence of the July 2023 flood on the AEPs used in past studies. Overall, 21 of 26 streamflow-computation locations in the flood insurance studies had more than a 10 percent difference in the 1-percent AEP streamflow. A hydraulic evaluation of surveyed water-surface elevations following the July 2023 flood was compared with the AEP profiles from past studies. Four of the 10 streamgages analyzed had poor alignment between the AEPs of the observed streamflows and the AEPs of the observed peak water-surface elevations as computed from flood insurance studies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255016","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Smith, T.L., Olson, S.A., LeNoir, J.M., Kalmon, R.D., and Ahearn, E.A., 2025, Flood of July 2023 in Vermont (ver. 1.1, May 22, 2025): U.S. Geological Survey Scientific Investigations Report 2025–5016, 21 p., https://doi.org/10.3133/sir20255016.","productDescription":"Report; vii, 21 p.; 2 Data Releases: Application Site","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-167054","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":493770,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118574.htm","linkFileType":{"id":5,"text":"html"}},{"id":486164,"rank":4,"type":{"id":31,"text":"Publication 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data viewer"},{"id":486167,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14XBBAT","text":"USGS data release","linkHelpText":"Vermont Flood of July 2023 Data"},{"id":486291,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5016/versionHist.txt","size":"879 B","linkFileType":{"id":2,"text":"txt"}},{"id":486405,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/664e23efd34e702fe8744b3c","text":"USGS data release","linkHelpText":"Peak Streamflow, Peak Stage, and Annual Exceedance Probability Data of the July 2023 Flood in Vermont, with attached data tables 1.1 to 1.4 in Vermont_Flood_2023_tables.xlsx"}],"country":"United 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\"}}]}","edition":"Version 1.0: May 19, 2025; Version 1.1: May 22, 2025","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
A major storm caused catastrophic flooding in many parts of Vermont on July 9–12, 2023, resulting in millions of dollars in damages. The high amount of rainfall caused several rivers to peak at record levels, in some cases surpassing records set during Tropical Storm Irene in 2011. The U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, collected and analyzed data on peak water-surface elevations, peak streamflow, and annual exceedance probabilities at streamgages, lake gages, and selected ungaged locations. Of the 80 streamgages with records ranging from 12 to 94 years, 11 streamgages recorded peak streamflows during the July 2023 flood that were the highest on record, whereas 10 streamgages had peak streamflows with a recurrence interval of 100 years or more. The July 2023 flood affected many of the same communities as Tropical Storm Irene in 2011, but 20 of the 45 monitored streamgages recorded higher peak flows in the July 2023 flood. Seventeen rivers were surveyed for high-water marks during both Tropical Storm Irene and the July 2023 flood, and 32 of the 103 sites had higher water levels during the July 2023 flood compared with Tropical Storm Irene. Flood insurance studies by the Federal Emergency Management Agency were evaluated against the July 2023 flood data. Twenty-one of the 26 locations analyzed had more than a 10 percent difference in the 1-percent annual exceedance probability streamflow.
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