{"pageNumber":"13","pageRowStart":"300","pageSize":"25","recordCount":165773,"records":[{"id":70274594,"text":"70274594 - 2026 - Behavioral shifts mask the success of legislation and outreach for endangered species recovery","interactions":[],"lastModifiedDate":"2026-04-01T17:06:24.458043","indexId":"70274594","displayToPublicDate":"2026-03-18T09:53:12","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral shifts mask the success of legislation and outreach for endangered species recovery","docAbstract":"

A fundamental challenge in conservation is assessing the efficacy of recovery actions to optimize endangered species management. Considerable recent attention has focused on effective measures to counter the endangerment of avian scavengers, which have declined worldwide, primarily due to poisoning. One iconic example is efforts to recover the critically endangered California condor (Gymnogyps californianus), whose leading cause of death is poisoning from ingesting lead-based ammunition in carcasses. Despite enormous resources expended in California, USA, including implementation of public outreach campaigns and two legislative bans on lead ammunition, lead-related mortality of condors has increased. Here we show that two types of behavioral shifts explain the observed increases in condor lead exposure: wilder foraging and ranging by condors and increased shooting of wild pigs (Sus scrofa) by humans. After accounting for these trends, we show that both lead ammunition bans and public outreach efforts have significantly reduced condor blood lead levels in California, lowering mortality. Our analyses uncover a dynamic in which changing ecological conditions mask the true efficacy of legislation and outreach. Given rapid global change, such dynamics are likely operating in many settings, underscoring the importance of comprehensive evaluations of recovery actions, which can be obscured by shifting behaviors and threats.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-026-69617-4","usgsCitation":"Bakker, V.J., Doak, D.F., Welch, A., Burnett, L., Porras Peña, M.C., Brandt, J., Poessel, S.A., Kirkland, S., Wolstenholme, R., Ryan, D., Stake, M., Punzalan, A., Vilchis, N., Braham, M.A., and Finkelstein, M.E., 2026, Behavioral shifts mask the success of legislation and outreach for endangered species recovery: Nature Communications, no. 17, 1819, 14 p., https://doi.org/10.1038/s41467-026-69617-4.","productDescription":"1819, 14 p.","ipdsId":"IP-179032","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":502051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-69617-4","text":"Publisher Index Page"},{"id":501954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Baja California, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.76371371072838,\n 37.61228020369509\n ],\n [\n -117.05805204693235,\n 29.393821450671695\n ],\n [\n -113.48068213234063,\n 29.521683607477\n ],\n [\n -115.99645808970025,\n 34.83642347081334\n ],\n [\n -119.05465886480684,\n 38.10068387191136\n ],\n [\n -122.76371371072838,\n 37.61228020369509\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"17","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bakker, Victoria J.","contributorId":369092,"corporation":false,"usgs":false,"family":"Bakker","given":"Victoria","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":958435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doak, Daniel F.","contributorId":369093,"corporation":false,"usgs":false,"family":"Doak","given":"Daniel","middleInitial":"F.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":958436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Alacia","contributorId":206083,"corporation":false,"usgs":false,"family":"Welch","given":"Alacia","email":"","affiliations":[{"id":37236,"text":"Pinnacles National Park","active":true,"usgs":false}],"preferred":false,"id":958437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burnett, L. Joseph","contributorId":127745,"corporation":false,"usgs":false,"family":"Burnett","given":"L. Joseph","affiliations":[{"id":7132,"text":"Ventana Wildlife Society, Salinas, CA","active":true,"usgs":false}],"preferred":false,"id":958438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porras Peña, María C.","contributorId":369094,"corporation":false,"usgs":false,"family":"Porras Peña","given":"María","middleInitial":"C.","affiliations":[{"id":87716,"text":"Parque Nacional Sierra de San Pedro Martir","active":true,"usgs":false}],"preferred":false,"id":958439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":958440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":958441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirkland, Steve","contributorId":369095,"corporation":false,"usgs":false,"family":"Kirkland","given":"Steve","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wolstenholme, Rachel","contributorId":295522,"corporation":false,"usgs":false,"family":"Wolstenholme","given":"Rachel","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ryan, Daniel","contributorId":204781,"corporation":false,"usgs":false,"family":"Ryan","given":"Daniel","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":958444,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stake, Mike","contributorId":369100,"corporation":false,"usgs":false,"family":"Stake","given":"Mike","affiliations":[{"id":48872,"text":"Ventana Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":958445,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":958446,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vilchis, Nacho","contributorId":369101,"corporation":false,"usgs":false,"family":"Vilchis","given":"Nacho","affiliations":[{"id":65735,"text":"San Diego Zoo Wildlife Alliance","active":true,"usgs":false}],"preferred":false,"id":958447,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Braham, Melissa A.","contributorId":369102,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","middleInitial":"A.","affiliations":[{"id":61759,"text":"Conservation Science Global, Inc.","active":true,"usgs":false}],"preferred":false,"id":958448,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Finkelstein, Myra E.","contributorId":279522,"corporation":false,"usgs":false,"family":"Finkelstein","given":"Myra","email":"","middleInitial":"E.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":958449,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70274276,"text":"70274276 - 2026 - Moving toward a more human-oriented analysis of urban heat: Examining differences of heat exposure intensity at busy commuting locations","interactions":[],"lastModifiedDate":"2026-03-24T16:52:30.391169","indexId":"70274276","displayToPublicDate":"2026-03-18T09:46:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23619,"text":"Environmental Research: Health","active":true,"publicationSubtype":{"id":10}},"title":"Moving toward a more human-oriented analysis of urban heat: Examining differences of heat exposure intensity at busy commuting locations","docAbstract":"

Examining urban thermal environments has become a critical area of research spanning epidemiology, urban planning, and ecology. While traditional metrics like air temperature (Tair) and satellite-derived surface temperature dominate urban heat studies, these measures often fail to reflect how people actually experience thermal exposure intensity. More human-oriented metrics, such as mean radiant temperature (MRT), and the wet bulb globe temperature (WBGT), better capture this lived experience, particularly at locations where people are likely to encounter outdoor heat, such as bus stops. Human demographics further complicate heat exposure, as access to cooling resources like trees and greenspaces can vary by neighborhood income. Our study addresses these complications by collecting thermal data across 60 commuting locations in Denver, Colorado in the summer. We evaluate (1) the extent to which more human-oriented metrics capture thermal exposure compared to Tair and LST, and (2) how heat exposure varies by neighborhood income levels. We observed that bus stops in low-income neighborhoods had an MRT increase 2.8 °C compared wealthier neighborhoods, and that income-driven differences in MRT and WBGT strongly depended on bus stop aspect. After accounting for solar orientation, differences in MRT increased to as much as 6.3 °C at north-facing stops. Our results suggest tree canopy shade explains some observed heat exposure patterns, with south facing bus stops seeing a MRT and WBGT decrease of 0.42 °C and 0.11 °C from a percent increase in tree canopy. Interestingly, depending on bus stop aspect, nearby buildings can increase MRT and WBGT (facing east), or decrease MRT and WBGT (facing south) If planners aim to address this issue, consideration of bus stops, and land covers configuration may help.

","language":"English","publisher":"IOP Science","doi":"10.1088/2752-5309/ae4bfc","usgsCitation":"Ibsen, P.C., McHale, M.R., deSouza, P., Steinharter, L., Green, C., Diffendorfer, J.E., and Warziniak, T., 2026, Moving toward a more human-oriented analysis of urban heat: Examining differences of heat exposure intensity at busy commuting locations: Environmental Research: Health, v. 4, 015016, 19 p., https://doi.org/10.1088/2752-5309/ae4bfc.","productDescription":"015016, 19 p.","ipdsId":"IP-174863","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2752-5309/ae4bfc","text":"Publisher Index Page"},{"id":501475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.15540651906788,\n 39.86334219595915\n ],\n [\n -105.15540651906788,\n 39.654826560162064\n ],\n [\n -104.80575852699928,\n 39.654826560162064\n ],\n [\n -104.80575852699928,\n 39.86334219595915\n ],\n [\n -105.15540651906788,\n 39.86334219595915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"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":957540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHale, Melissa R.","contributorId":362090,"corporation":false,"usgs":false,"family":"McHale","given":"Melissa","middleInitial":"R.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":957541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"deSouza, Priyanka","contributorId":353306,"corporation":false,"usgs":false,"family":"deSouza","given":"Priyanka","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":957542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steinharter, Logan","contributorId":362081,"corporation":false,"usgs":false,"family":"Steinharter","given":"Logan","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":957543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Carl Jr.","contributorId":361338,"corporation":false,"usgs":false,"family":"Green","given":"Carl","suffix":"Jr.","affiliations":[{"id":86239,"text":"Denver Regional Transportation District","active":true,"usgs":false}],"preferred":false,"id":957544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":223504,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":957545,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warziniak, Travis","contributorId":367727,"corporation":false,"usgs":false,"family":"Warziniak","given":"Travis","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":957546,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274272,"text":"70274272 - 2026 - Regreening, restoring, and reconnecting a southwestern wetland ecosystem – the Zeedyk wetland","interactions":[],"lastModifiedDate":"2026-03-24T15:18:17.947836","indexId":"70274272","displayToPublicDate":"2026-03-18T08:08:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Regreening, restoring, and reconnecting a southwestern wetland ecosystem – the Zeedyk wetland","docAbstract":"Alluvial wetland ecosystems are vital as biodiversity hotspots but are increasingly threatened by anthropogenic stressors and drought. These pressures are especially acute in arid and semi-arid regions, where eco-hydrologic connectivity is fragile and recovery is slow. This study quantifies the efficacy of nature-based solutions, particularly the ‘Zeedyk approach,’ which employs low-tech Natural Infrastructure in Dryland Streams (NIDS)—including rock detention structures—to slow surface water, raise groundwater tables, and restore wetland function at a spring-fed wetland in Cebolla Canyon, New Mexico, U.S.A. Our results depict a Restoration Feedback Loop that captures stages of change from a healthy wetland in 1935, altered by 20th-century agriculture and grazing, to the re-establishment of the historical flow regime by 2024 documented through an 89-year archive of aerial imagery (1935–2024). By the end of our study period, the Spring-Fed Wetland had expanded by roughly 229% of the original 1935 area, to 4.13 ha. Using 40 years of satellite data, we assess changes in vegetation and hydrology with remote sensing indices. Spatial and temporal analyses reveal significant increases in vegetation greenness and wetness, particularly in an Expanded Wetland subregion, which exhibited ∼3.5x higher wetness and ∼1.5x higher greenness trends compared to adjacent areas. Monthly metrics highlight seasonal variability, with increases in greenness linked to monsoonal rainfall and lateral water redistribution, indicating that restoration impacts extend beyond the primary wetland. This study demonstrates the utility of cloud-based platforms like Google Earth Engine and USGS EarthExplorer for long-term monitoring of wetland restoration, while quantifying the efficacy of the ‘Zeedyk approach’ and demonstrating its potential as a scalable method to restore and conserve wetland meadows in other arid and semi-arid landscapes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsase.2026.101964","usgsCitation":"Petrakis, R.E., Norman, L., McGraw, M., Carson, S., Sponholtz, C., Weber, C., and Zeedyk, B.D., 2026, Regreening, restoring, and reconnecting a southwestern wetland ecosystem – the Zeedyk wetland: Remote Sensing Applications: Society and Environment, v. 42, 101964, 25 p., https://doi.org/10.1016/j.rsase.2026.101964.","productDescription":"101964, 25 p.","ipdsId":"IP-181171","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":501673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsase.2026.101964","text":"Publisher Index Page"},{"id":501451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Cebolla Creek Restoration Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.02529096003872,\n 35.144508927313936\n ],\n [\n -108.02529096003872,\n 34.9960395169455\n ],\n [\n -107.84876055969504,\n 34.9960395169455\n ],\n [\n -107.84876055969504,\n 35.144508927313936\n ],\n [\n -108.02529096003872,\n 35.144508927313936\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Petrakis, Roy E. 0000-0001-8932-077X rpetrakis@usgs.gov","orcid":"https://orcid.org/0000-0001-8932-077X","contributorId":174623,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy","email":"rpetrakis@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":957501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":957502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGraw, Maryann","contributorId":367703,"corporation":false,"usgs":false,"family":"McGraw","given":"Maryann","affiliations":[{"id":87604,"text":"New Mexico Environment Department","active":true,"usgs":false}],"preferred":false,"id":957503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carson, Steve","contributorId":367704,"corporation":false,"usgs":false,"family":"Carson","given":"Steve","affiliations":[{"id":87605,"text":"Rangeland Hands, Inc.","active":true,"usgs":false}],"preferred":false,"id":957504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sponholtz, Craig","contributorId":367705,"corporation":false,"usgs":false,"family":"Sponholtz","given":"Craig","affiliations":[{"id":87606,"text":"Watershed Artisans, Inc.","active":true,"usgs":false}],"preferred":false,"id":957505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weber, Cameron","contributorId":367706,"corporation":false,"usgs":false,"family":"Weber","given":"Cameron","affiliations":[{"id":87607,"text":"Rio Grande Return","active":true,"usgs":false}],"preferred":false,"id":957506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zeedyk, Bill D.","contributorId":367707,"corporation":false,"usgs":false,"family":"Zeedyk","given":"Bill","middleInitial":"D.","affiliations":[{"id":87608,"text":"Zeedyk Ecological Consulting, LLC","active":true,"usgs":false}],"preferred":false,"id":957507,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262911,"text":"70262911 - 2026 - Advancing compound coastal flood modeling on aouthern O’ahu, Hawai’i: A hybrid stochastic approach","interactions":[],"lastModifiedDate":"2026-04-27T15:45:42.25143","indexId":"70262911","displayToPublicDate":"2026-03-17T10:35:11","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Advancing compound coastal flood modeling on aouthern O’ahu, Hawai’i: A hybrid stochastic approach","docAbstract":"

Sea-level rise and changing patterns of storminess associated with climate change are expected to increase the frequency and severity of compound coastal flooding events, posing significant challenges to coastal communities in enhancing preparedness and adaptation strategies. This work presents a hybrid stochastic approach for the probabilistic assessment of compound coastal flooding. The stochastic climate emulator TESLA is employed to generate synthetic time series of oceanographic and hydrologic conditions, incorporating meteorologic-oceanographic drivers such as sea-level anomalies, tropical cyclones, storm surge, tides, wind-waves, and precipitation. These time series are downscaled using a hybrid statistical-numerical framework that integrates surrogate models of high-fidelity hydrodynamic simulators (e.g., Delft3D, SWAN, SWASH, SFINCS). The framework is applied to southern O’ahu, Hawai’i, to simulate flood exposure under present climate as well as various sea-level rise scenarios and climate projections. The framework is designed to support decision-making processes by facilitating the participatory development of dynamic adaptation pathways. By allowing for rapid evaluation of flood risks, the approach provides valuable insights for building resilient adaptation strategies for vulnerable coastal communities.

","conferenceTitle":"Coastal Dynamics 2025","conferenceDate":"April 7-11, 2025","conferenceLocation":"Aveiro, Portugal","language":"English","publisher":"Springer","usgsCitation":"Ricondo, A., Cagigal, L., Storlazzi, C.D., Merrifield, M.A., Mendez, F.J., and Ruggiero, P.R., 2026, Advancing compound coastal flood modeling on aouthern O’ahu, Hawai’i: A hybrid stochastic approach, Coastal Dynamics 2025, Aveiro, Portugal, April 7-11, 2025, p. 3-7.","productDescription":"5 p.","startPage":"3","endPage":"7","ipdsId":"IP-167977","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481398,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/chapter/10.1007/978-3-032-15477-4_1"},{"id":503552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"southern Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.16114226446115,\n 21.421379675830508\n ],\n [\n -157.6362987942188,\n 21.421379675830508\n ],\n [\n -157.6362987942188,\n 21.249560670445135\n ],\n [\n -158.16114226446115,\n 21.249560670445135\n ],\n [\n -158.16114226446115,\n 21.421379675830508\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-17","publicationStatus":"PW","contributors":{"editors":[{"text":"Coelho, Carlos","contributorId":370435,"corporation":false,"usgs":false,"family":"Coelho","given":"Carlos","affiliations":[],"preferred":false,"id":960343,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hallin, Caroline","contributorId":370436,"corporation":false,"usgs":false,"family":"Hallin","given":"Caroline","affiliations":[],"preferred":false,"id":960344,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sancho, Francisco","contributorId":370437,"corporation":false,"usgs":false,"family":"Sancho","given":"Francisco","affiliations":[],"preferred":false,"id":960345,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Silva, Paulo A.","contributorId":370438,"corporation":false,"usgs":false,"family":"Silva","given":"Paulo","middleInitial":"A.","affiliations":[],"preferred":false,"id":960346,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Ricondo, Alba 0000-0002-4703-8220","orcid":"https://orcid.org/0000-0002-4703-8220","contributorId":306058,"corporation":false,"usgs":false,"family":"Ricondo","given":"Alba","email":"","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":925267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura 0000-0001-5384-6382","orcid":"https://orcid.org/0000-0001-5384-6382","contributorId":229418,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":925268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":925269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merrifield, Mark A.","contributorId":40525,"corporation":false,"usgs":true,"family":"Merrifield","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":925270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruggiero, Peter R","contributorId":221035,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","email":"","middleInitial":"R","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":925272,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266015,"text":"70266015 - 2026 - Beach nourishment morphodynamics in a high-energy U.S. West Coast environment","interactions":[],"lastModifiedDate":"2026-06-05T15:28:20.849184","indexId":"70266015","displayToPublicDate":"2026-03-17T10:23:18","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Beach nourishment morphodynamics in a high-energy U.S. West Coast environment","docAbstract":"

Dredged sediment from engineered inlets can be used to nourish coastlines adjacent to these inlets, serving as a beneficial alternative to offshore disposal. Effective strategies for beneficial use of dredged sediment, however, rely on understanding of local sediment transport. A beach nourishment project utilizing dredged sand was carried out at a highly energetic beach north of the Columbia River mouth (Washington, USA). Within two weeks of placement, during a moderately energetic period, a large part of the beach nourishment had eroded. To predict local hydro- and morphodynamics there, a XBeach model was used, validated with field observations of nearshore hydrodynamics and morphology. It showed that while the subaerial nourishment eroded rapidly, it is likely that the sediment is deposited around the inner bar and is still available to the morphological system of Benson Beach. Additionally, model simulations suggest the nourishment provided a buffer against erosion of the local dune system during its presence.

","conferenceTitle":"Coastal Dynamics 2025","conferenceDate":"April 7-11, 2025","conferenceLocation":"Aveiro, Portugal","language":"English","doi":"10.1007/978-3-032-15477-4_29","usgsCitation":"de Beer, A., Stevens, A.W., McCall, R.T., Reyns, J., and Moritz, H.R., 2026, Beach nourishment morphodynamics in a high-energy U.S. West Coast environment, Coastal Dynamics 2025, v. 2, Aveiro, Portugal, April 7-11, 2025, p. 183-188, https://doi.org/10.1007/978-3-032-15477-4_29.","productDescription":"6 p.","startPage":"183","endPage":"188","ipdsId":"IP-173713","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":505095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River mouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.02841863416538,\n 46.328447253966715\n ],\n [\n -124.11723060875087,\n 46.328447253966715\n ],\n [\n -124.11676783211541,\n 46.247817658869394\n ],\n [\n -124.02818884162915,\n 46.247817658869394\n ],\n [\n -124.02841863416538,\n 46.328447253966715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2026-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"de Beer, Anne","contributorId":353679,"corporation":false,"usgs":false,"family":"de Beer","given":"Anne","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":934324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":934325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":934326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reyns, Johan","contributorId":224304,"corporation":false,"usgs":false,"family":"Reyns","given":"Johan","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":934327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moritz, Hans R.","contributorId":210776,"corporation":false,"usgs":false,"family":"Moritz","given":"Hans","email":"","middleInitial":"R.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":934328,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273837,"text":"70273837 - 2026 - Unprecedented burning in tropical peatlands during the 20th century compared to the previous two millennia","interactions":[],"lastModifiedDate":"2026-04-07T15:22:51.898019","indexId":"70273837","displayToPublicDate":"2026-03-17T09:51:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Unprecedented burning in tropical peatlands during the 20th century compared to the previous two millennia","docAbstract":"

Tropical peatland wildfire incidence has risen in recent decades, driven by drainage for land use and intensified by severe droughts with global climate change. These disturbances have altered vegetation structure, disrupted ecosystem functioning, and increased carbon emissions, particularly in Southeast Asia. However, the long-term history and characteristics of wildfires in tropical peatlands remain largely unknown. Here, we compiled fifty-eight macro-charcoal records from peatlands across the tropics, ranging from lowland forested to montane peatlands, to assess millennia-scale changes and controlling factors of tropical peatland burning. We divided the datasets into four main sub-regions: Neotropical, Afrotropical, Indomalayan and Australasian ecoregions to explore regional variability. Tropical peatlands had high burning levels between 0 and 850 ce, followed by a relatively low and stable period until a marked increase during the 20th century. The general trend in tropical peatland burning follows changes in global temperature, and climate variables that control the length and severity of drought events have a notable influence on peat burning before 1900 ce. During the 20th century, regional differences were observed, with declining fire trends in the Neotropical and Afrotropical regions and increasing fire trends in the Indomalayan and Australasian regions. This difference is likely attributable to human activities, and such intervention is also evident in palm swamps and hardwood swamps under similar wet, weakly seasonal climates. With the increase in anthropogenic pressures on peatlands and greater climate variability, future wildfires in peatlands are likely to become more frequent and widespread across all tropical ecoregions. Conservation and sustainable land-use practices could be used to mitigate and control peatland burning and protect these carbon-rich sinks.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70717","usgsCitation":"Wang, Y., Feldpausch, T.R., Swindles, G.T., Moss, P., McGowan, H.A., Sim, T.G., Morris, P.J., Benfield, A., Courtney-Mustaphi, C., Wahl, D., Montoya, E., Githumbi, E.N., Honorio Coronado, E.N., Augustijns, F., Verstraeten, G., O'Donnell, J., Tibby, J., Benavides, J.C., Hapsari, K.A., Schittek, K., Mohamed Ramdzan, K.N., Bao, K., Cole, L.E., Anderson, L., Galka, M., Emuobosa Akpo, O., Strobel, P., Ramya Bala, P., Dommain, R., Marchant, R., Sukumar, R., Chawchai, S., Pullyottum Kavil, S., Mooney, S., Kelly, T.J., Gao, Y., Voulgarakis, A., Boom, A., Burton, C., Berrio, J.C., Ribeiro, K., Anderson, L.O., Hardiman, M., Spater, M., Page, S.E., and Gallego-Sala, A., 2026, Unprecedented burning in tropical peatlands during the 20th century compared to the previous two millennia: Global Change Biology, v. 32, no. 3, e70717, 16 p., https://doi.org/10.1111/gcb.70717.","productDescription":"e70717, 16 p.","ipdsId":"IP-172466","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":502479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70717","text":"Publisher Index Page"},{"id":502237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150,\n 30\n ],\n [\n -150,\n -30\n ],\n [\n 155,\n -30\n ],\n [\n 155,\n 30\n ],\n [\n -150,\n 30\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, 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Slow gravitational failures of mountain peaks and ridges are poorly understood. Herein, we report on 50 years of studies at a slowly spreading castellate ridge in the Sawatch Range in central Colorado. The orientations of geomorphic-structural features indicate that the fractured Precambrian granitic rock underlying the ridge has extended and spread northwestward toward the formerly glacier-covered Busk Creek valley. Results from surveying, field-based geomorphic-structural mapping using lidar, rock mass quality measurements, a passive seismic survey, and satellite radar provide a major update to research started by U.S. Geological Survey researchers in the 1970s and 1980s. New insights include a recognition that the entire ridge has slowly moved by concurrent sliding along an inferred northwest dipping, compound basal-slip surface (or zone), and through the formation of multiple grabens by normal faulting and flexural toppling along sets of pre-existing fractures that dip moderately (∼45°) to the southeast. We were unable to distinguish the presence of a sudden and strong contrast in seismic velocity across the inferred slip surface. Movement during the 50-year study period has been episodic and gradually decreasing, in correspondence with decreasing cumulative annual precipitation and increasing mean annual air temperatures. The fastest moving area, just upslope from the glacier trimline, had an average horizontal velocity of 3–4 mm/yr. Evidence suggests that movement started as a paraglacial response mechanism, but because of the site’s proximity to the Rio Grande Rift, we cannot exclude earthquake shaking as a mechanism for initiation or enhancement of slope movement. An estimate of longer-term horizontal movement from the exposed basal-slip surface at the uphill side of the ridgetop graben is ∼1.1 mm/yr for the 13–14 ky post-glacial period.

Broad implications of our work are that: (1) long-term measurements (decades or longer) of slope movement can add insights into how sackungen form and evolve through time; (2) the identification of thrust faults and toes in zones of compression near valley bottoms can be crucial for interpreting sackung failure mechanisms, and (3) the use of passive-seismic techniques to identify the depth to a slip surface may not be successful in granitic terrain dominated by planar fractures and subtle changes in rock-mass characteristics.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2026.108666","usgsCitation":"Coe, J.A., Avdievitch, N.N., Allstadt, K.E., Collins, E.A., Jensen, E.K., Hoch, O.J., Schaefer, L.N., Ruleman, C.A., Godt, J.W., and Matthews, V., 2026, Sackung at Bald Eagle ridge, central Colorado: An updated interpretation of ridge-spreading movement, structures, and mechanisms from 50 years (1975–2025) of U.S. Geological Survey research: Engineering Geology, v. 366, 108666, 32 p., https://doi.org/10.1016/j.enggeo.2026.108666.","productDescription":"108666, 32 p.","ipdsId":"IP-156535","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":501686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2026.108666","text":"Publisher Index 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To address increasing demand for ecological models of aquatic species that can inform the management of national freshwater resources, we leveraged manager input to develop suites of environmental data layers characterizing freshwater habitats for the contiguous United States. Using the National Hydrography Dataset, these new data cover lentic and lotic systems under current and near-future environmental conditions. The data include a variety of covariate categories including climate, soil chemistry, land use and land cover, and human modification of the surrounding landscape. The predictor resolution for atmospheric climate predictors was the lake (wetland) or stream reach, and, for the terrestrial proxies, the subwatershed (HUC12) surrounding the lake or stream reach was chosen to capture the relevant land features surrounding the habitat. Future land use, land cover and streamflow predictions were included from present to mid-century. These data are available for the development of freshwater ecological models in the contiguous United States for a variety of applications, including species distribution modeling and exploring change in spatially diverse aquatic systems in time.

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interface","docAbstract":"

Saltwater is migrating into freshwater aquifers globally with water quality and biogeochemical implications, yet saltwater intrusion in glaciated regions is sparsely investigated. Field observations suggest that groundwater head in glaciated systems is influenced by ice sheet forcings and provides evidence that seawater infiltrated into offshore aquifers during past deglaciation events. To understand links between ice sheet dynamics, groundwater head, and saltwater intrusion, we use numerical models to explore the effects of deglaciation on nearshore head and salinity distributions. We find that ice sheet thinning diminishes groundwater head, and the resulting shift in subsurface pressure gradients drives rapid landward movement of the subsurface freshwater-saltwater interface up to 4.0 km or 1.3 m per m ice sheet loss. Results highlight an overlooked saltwater intrusion mechanism that aligns with field observations and affects glaciated coastlines undergoing ice sheet retreat, underscoring the need to consider this mechanism in studies of contemporary coastal water quality.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL120376","usgsCitation":"Guimond, J., Mohammed, A., Kurylyk, B.L., Walvoord, M.A., and Bense, V.F., 2026, Ice sheet dynamics drive pronounced changes in the subsurface freshwater-saltwater interface: Geophysical Research Letters, v. 53, no. 6, e2025GL120376, 10 p., https://doi.org/10.1029/2025GL120376.","productDescription":"e2025GL120376, 10 p.","ipdsId":"IP-184772","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":501612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl120376","text":"Publisher Index Page"},{"id":501588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":957940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammed, Aaron","contributorId":340028,"corporation":false,"usgs":false,"family":"Mohammed","given":"Aaron","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":957941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":957942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":957944,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274271,"text":"70274271 - 2026 - Spatial and temporal geochemical variations of lava flows and tephra deposits from the December 2020 to September 2024 eruptions of Kīlauea volcano","interactions":[],"lastModifiedDate":"2026-03-24T15:58:48.823617","indexId":"70274271","displayToPublicDate":"2026-03-16T10:54:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal geochemical variations of lava flows and tephra deposits from the December 2020 to September 2024 eruptions of Kīlauea volcano","docAbstract":"

Kīlauea volcano underwent dramatic morphological changes in 2018. That year recorded the end of the 35-year-long eruption of Puʻuʻōʻō (1983–2018) and 10-year-long (2008–2018) Halemaʻumaʻu lava lake and emplacement of the ~4-month-long lower East Rift Zone lava flows that coincided with ~500 m of summit caldera collapse. Starting on December 20, 2020, eruptions resumed at Kīlauea’s summit. There were five summit eruptions between December 2020 and September 2023, which ranged in duration from more than a year to as short as a week. Following these summit eruptions, seismicity and deformation increased in the upper Southwest Rift Zone in 2024, culminating in a ~8.5-h-long eruption in this region on June 3, 2024. Increased seismicity and deformation then shifted to the upper and middle East Rift Zone and after several months culminated in an eruption just west of, and within, Nāpau Crater in the middle East Rift Zone from September 15 to 20, 2024. Despite vast morphological changes at Kīlauea’s summit, the geochemical compositions (i.e., whole rock and glass) that erupted from December 2020 to September 2023 are all remarkably similar to each other. Whole-rock compositions appear distinct from the preceding 2008–2018 Halemaʻumaʻu lava lake and phase 3 (i.e., summit or uprift-derived mafic lavas) of the 2018 lower East Rift Zone lava flows, although glass compositions appear to have more overlap with 2018 lower East Rift Zone glasses. The June 3, 2024, upper Southwest Rift Zone spatter and lava flows exhibit a dramatic enrichment in whole-rock MgO that is not recorded in glass, which reflects accumulation of olivine (e.g., antecrysts or xenocrysts) during dike emplacement, and is consistent with the abundance of olivine in the lava flows (5–10%). June 2024 Southwest Rift Zone whole-rock and glass compositions overlap with those erupted at the summit from December 2020 to September 2023, whereas some whole-rock trace (i.e., Sc, Sr, and Zr) and major elements (i.e., CaO) are suggestive of mixing with a magmatic component that had fractionated plagioclase and pyroxene and/or a new parental magma influencing the summit reservoir system. The September 15–20, 2024, eruption at Nāpau Crater in the middle East Rift Zone involved the most differentiated magma since eruptive activity resumed in December 2020, with its magma fractionating olivine + plagioclase + pyroxene. The September 15–20, 2024, composition resembles Puʻuʻōʻō lava flows that erupted in, or near, Nāpau Crater in 1983 (episode 1), 1997 (episode 54), and 2011 (episode 59), with episode 59 having a compositional cluster that is most similar to that of the September 2024 lava flows. The data presented and provided herein open new research perspectives for long-term analyses of geochemical variations following caldera collapse at Kīlauea volcano and facilitate comparisons with other basaltic caldera systems worldwide.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-026-01957-x","usgsCitation":"Downs, D.T., Lynn, K.J., Winslow, H.B., Lundblad, S.P., and Decker, M.F., 2026, Spatial and temporal geochemical variations of lava flows and tephra deposits from the December 2020 to September 2024 eruptions of Kīlauea volcano: Bulletin of Volcanology, v. 88, 38, https://doi.org/10.1007/s00445-026-01957-x.","productDescription":"38","ipdsId":"IP-183556","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.33139629075612,\n 19.493695096800963\n ],\n [\n -155.33139629075612,\n 19.27430771431321\n ],\n [\n -155.12603194289784,\n 19.27430771431321\n ],\n [\n -155.12603194289784,\n 19.493695096800963\n ],\n [\n -155.33139629075612,\n 19.493695096800963\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winslow, Heather Brianne 0000-0001-6664-6339","orcid":"https://orcid.org/0000-0001-6664-6339","contributorId":367700,"corporation":false,"usgs":true,"family":"Winslow","given":"Heather","middleInitial":"Brianne","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundblad, Steven P.","contributorId":367701,"corporation":false,"usgs":false,"family":"Lundblad","given":"Steven","middleInitial":"P.","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":957499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Decker, Meghann F.I.","contributorId":367702,"corporation":false,"usgs":false,"family":"Decker","given":"Meghann","middleInitial":"F.I.","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":957500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274265,"text":"70274265 - 2026 - The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast","interactions":[],"lastModifiedDate":"2026-06-02T16:13:56.145125","indexId":"70274265","displayToPublicDate":"2026-03-16T10:41:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast","docAbstract":"

We present the 2025 U.S. Geological Survey Puerto Rico and U.S. Virgin Islands (PRVI) time‐independent earthquake rupture forecast (ERF), developed for the 2025 update to the National Seismic Hazard Model (NSHM) for PRVI. The updated ERF improves upon a prior model from 2003, including an expanded fault inventory with slip‐rate estimates, updated seismicity catalogs, and refined subduction zone geometries and deformation models. It applies the fault‐system inversion methodology to solve for rates of ruptures on modeled faults, adapted from the 2023 NSHM (NSHM23) for the western United States, including the first application of the inversion to model rates on a U.S. subduction interface. Off‐fault and intraslab seismicity are constrained by observed seismicity and use updated methods developed for NSHM23. Uncertainties in model components are substantial, and the ERF represents epistemic uncertainties through a comprehensive logic tree consisting of 1.7 billion logic‐tree branches combined across all sources.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250040","usgsCitation":"Milner, K., Hatem, A.E., Briggs, R.W., Thompson Jobe, J.A., Llenos, A.L., Michael, A.J., Shumway, A., Field, E.H., and Haynie, K.L., 2026, The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast: Bulletin of the Seismological Society of America, v. 116, no. 3, p. 1321-1351, https://doi.org/10.1785/0120250040.","productDescription":"31 p.","startPage":"1321","endPage":"1351","ipdsId":"IP-182010","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501594,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250040","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.24473696671367,\n 18.685289557222063\n ],\n [\n -67.45235602937508,\n 17.58915546047696\n ],\n [\n -64.35204786394414,\n 17.642821738727804\n ],\n [\n -64.70746354748341,\n 18.441821463038096\n ],\n [\n -67.24473696671367,\n 18.685289557222063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":957460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":957464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":957465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957467,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957468,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274273,"text":"70274273 - 2026 - Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.","interactions":[],"lastModifiedDate":"2026-03-24T15:40:31.2063","indexId":"70274273","displayToPublicDate":"2026-03-16T10:28:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.","docAbstract":"

The Marfa Basin in West Texas is a late Palaeozoic synorogenic depocenter associated with regional deformation linked to the Ancestral Rocky Mountains (ARM) and Ouachita–Marathon–Sonora (OMS) orogenies in southwestern Laurentia. Basin strata range in age from Middle Pennsylvanian to the middle Permian and include the Cieneguita, Alta, Pinto Canyon, Rose Mine and Mina Grande Formations. Sandstone petrography and detrital zircon (DZ) U–Pb and (U–Th)/He double dating data from these strata reveal three tectonically driven sedimentation stages: syntectonic ARM deposition, progressive OMS foredeep deposition and an orogenic transition. The Cieneguita and lower part of the Alta Formations exhibit a Mesoproterozoic DZ age signature (~1318 and ~1076 Ma age peaks) and quartzo-feldspathic sandstone compositions sourced from the adjacent ARM-related Diablo Platform basement uplift in the Middle Pennsylvanian to earliest Permian. In contrast, the upper part of the Alta Formation, as well as the Pinto Canyon and Rose Mine Formations, have peri-Gondwanan DZ age signatures, with Mesoproterozoic (~1069–1036 Ma age peaks), Neoproterozoic–Cambrian (~700–490 Ma) and Palaeozoic (~490–300 Ma) age modes and litho-quartzose sandstone compositions derived from the OMS fold-and-thrust belt and orogenic hinterland during the early to middle Permian. The lower to middle parts of the Alta Formation have alternating DZ age signatures and sandstone compositions from both ARM and OMS sources, revealing that the transition in the sediment supply occurred during the middle Wolfcampian. This transition was not characterised by source mixing, but rather by sediment interfingering alternately sourced from the Diablo Platform uplift and the advancing OMS belt. These observations are confirmed by the DZ He ages, which reveal distinct cooling histories for both source terranes. These results document a switch from ARM- to OMS-related syntectonic deposition in southwestern Laurentia during the early Permian, demonstrating that ARM-driven deformation largely preceded the continental collision along the Marathon segment of the OMS orogen.

","language":"English","publisher":"Wiley","doi":"10.1111/bre.70098","usgsCitation":"Juárez-Zúñiga, S., Johnson, B.G., Stockli, D.F., and Lawton, T.F., 2026, Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.: Basin Research, v. 38, no. 2, e70098, 27 p., https://doi.org/10.1111/bre.70098.","productDescription":"e70098, 27 p.","ipdsId":"IP-179927","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":501454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Marfa Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.5833,\n 30.0833\n ],\n [\n -104.5833,\n 29.9\n ],\n [\n -104.333,\n 29.9\n ],\n [\n -104.333,\n 30.0833\n ],\n [\n -104.5833,\n 30.0833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Juárez-Zúñiga, Sandra","contributorId":367830,"corporation":false,"usgs":false,"family":"Juárez-Zúñiga","given":"Sandra","affiliations":[],"preferred":false,"id":957778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockli, Daniel F. 0000-0001-7652-2129","orcid":"https://orcid.org/0000-0001-7652-2129","contributorId":254375,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":957779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawton, Timothy F.","contributorId":63866,"corporation":false,"usgs":true,"family":"Lawton","given":"Timothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":957780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275562,"text":"70275562 - 2026 - Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","interactions":[],"lastModifiedDate":"2026-05-04T17:27:41.45131","indexId":"70275562","displayToPublicDate":"2026-03-16T10:21:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","title":"Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","docAbstract":"

Chronic wasting disease (CWD) is an always-fatal disease infecting wild cervids globally. Ecologically and economically important, CWD presents a challenge for managing white-tailed deer (Odocoileus virginianus). We built an agent-based model to simulate CWD transmission and assess potential management actions that could slow disease spread: PAOvCWD. We developed PAOvCWD using contact rates and other behavioral and ecological metrics estimated from deer monitored in Pennsylvania, USA. We programmed potential management responses (e.g., culling, altered hunter harvest) for all 22 Pennsylvania wildlife management units and validated the efficacy of PAOvCWD using a deer population in south-central Pennsylvania infected with CWD for > 10 years. To support applications of our model, we developed a user-friendly R pipeline that allows implementation with relatively minor modifications. Our pipeline includes four steps:

","language":"English","publisher":"Elsevier","doi":"10.1016/j.mex.2026.103823","usgsCitation":"Wehr, N.H., Rosenberry, C.S., Stainbrook, D., Staats, M., Korman, A.L., and Walter, W., 2026, Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD: MethodsX, v. 16, 103823, 16 p., https://doi.org/10.1016/j.mex.2026.103823.","productDescription":"103823, 16 p.","ipdsId":"IP-183423","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mex.2026.103823","text":"Publisher Index Page"},{"id":503957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.52570032431473,\n 42.37910582401369\n ],\n [\n -80.52570032431473,\n 39.7574248075166\n ],\n [\n -75.28642802666494,\n 39.74932521784851\n ],\n [\n -74.71459853396998,\n 40.20609004712162\n ],\n [\n -75.04199041686836,\n 40.68565656763054\n ],\n [\n -74.674371591522,\n 41.46091896179685\n ],\n [\n -75.02824981894486,\n 41.58885964729429\n ],\n [\n -75.04425524379862,\n 41.96621048650465\n ],\n [\n -79.67841620003504,\n 42.06937709005368\n ],\n [\n -80.52570032431473,\n 42.37910582401369\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wehr, Nathaniel H.","contributorId":371018,"corporation":false,"usgs":false,"family":"Wehr","given":"Nathaniel","middleInitial":"H.","affiliations":[{"id":85818,"text":"Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":960886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Christopher S.","contributorId":371019,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","middleInitial":"S.","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stainbrook, David","contributorId":272188,"corporation":false,"usgs":false,"family":"Stainbrook","given":"David","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":960888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staats, Maureen","contributorId":371020,"corporation":false,"usgs":false,"family":"Staats","given":"Maureen","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korman, Andrea L.","contributorId":371021,"corporation":false,"usgs":false,"family":"Korman","given":"Andrea","middleInitial":"L.","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":960891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274507,"text":"70274507 - 2026 - Dog attacks on wild desert tortoises: A risk model","interactions":[],"lastModifiedDate":"2026-05-07T15:49:00.031275","indexId":"70274507","displayToPublicDate":"2026-03-16T09:27:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Dog attacks on wild desert tortoises: A risk model","docAbstract":"

We retrospectively compiled a database of 6,727 live, wild Agassiz's desert tortoises (Gopherus agassizii) and evaluated them for clinical signs of trauma to shell and limbs at 50 sites in the Mojave and Colorado (western Sonoran) deserts of California, USA, spanning the years 1977–2006. Our objectives were to 1) identify tortoises with severe trauma to shell, limbs, and gular horns typically seen in attacks from dogs (Canis familiaris); 2) identify locations where severe injuries occurred; and 3) develop a risk model based on distances of tortoises from settlements, towns, or cities. Our models identified multiple variables of importance for tortoises with severe damage to shells, limbs, and gular horns: relative age and sex of tortoises, decades of occurrence, and location. Females and very old tortoises were more vulnerable to attacks than other tortoises. In the decades between the 1970s and 2000s, the risk of severe overall trauma to shell and limbs increased 4 times and to gular horns 16.5 times. Compared to previous decades, by the early 2000s the percent of tortoises with severe trauma increased exponentially the closer a tortoise site was to a settlement; the exponential increase began at approximately 12 km from a settlement. We suggest that the risks may be higher now because of the growth of human populations within the geographic range of the tortoise. The threats to tortoises from dogs are based on whether dogs are off-leash in the Mojave and Colorado deserts.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70192","usgsCitation":"Carlson, A.S., Berry, K.H., and Mack, J.S., 2026, Dog attacks on wild desert tortoises: A risk model: Journal of Wildlife Management, v. 90, no. 4, e70192, 22 p., https://doi.org/10.1002/jwmg.70192.","productDescription":"e70192, 22 p.","ipdsId":"IP-177508","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501720,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70192","text":"Publisher Index Page"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"Colorado Desert, Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.54403437504442,\n 37.27173670819484\n ],\n [\n -118.54403437504442,\n 32.70135724857404\n ],\n [\n -113.3861439811104,\n 32.70135724857404\n ],\n [\n -113.3861439811104,\n 37.27173670819484\n ],\n [\n -118.54403437504442,\n 37.27173670819484\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrea S.","contributorId":368885,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrea","middleInitial":"S.","affiliations":[{"id":87670,"text":"USGS, WERC (former)","active":true,"usgs":false}],"preferred":false,"id":958035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Jeremy S.","contributorId":368886,"corporation":false,"usgs":false,"family":"Mack","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":87670,"text":"USGS, WERC (former)","active":true,"usgs":false}],"preferred":false,"id":958037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274509,"text":"70274509 - 2026 - Invasion resistance varies by fuel break type in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2026-05-07T15:48:19.993938","indexId":"70274509","displayToPublicDate":"2026-03-16T09:16:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invasion resistance varies by fuel break type in sagebrush ecosystems","docAbstract":"

Background

Wildfire is an increasingly important driver of changes within sagebrush (Artemisia spp. L.) ecosystems of the western USA, often resulting in increased spread of exotic annual grasses, such as cheatgrass (Bromus tectorum L.), and subsequent losses of native vegetation and wildlife habitat. Fuel breaks— areas of land treated to reduce or redistribute fuel loads — are widely implemented to help prevent the spread of wildfires and provide areas to facilitate firefighting efforts. However, localized installation and maintenance of fuel breaks directly reduce or remove vegetation and may propagate the spread of exotic annual grasses into fuel break boundaries and surrounding areas, inadvertently weakening ecological resilience to disturbance. To investigate if exotic annual grass cover was associated with mowed or green strip fuel breaks across the sagebrush biome, we combined multiple data sources and methodologies. We used targeted field surveys and land-management agency monitoring data within a space-for-time substitution framework coupled with a progressive-change before-after control-impact (PC BACI) study design using historical remotely sensed vegetation cover data which allowed us to account for potential confounding effects of roads on annual grass cover.

Results

Models using both field collected and remotely sensed vegetation indices estimated increases in exotic annual grass cover over time following mowed fuel break installation, and higher exotic annual grass cover closer to mowed fuel breaks. These increases in exotic annual grass occurred within, at 500 m and at 1000 m from mowed fuel breaks. However, we found variable patterns of exotic annual grass after green strip fuel break installation depending on the data source. No increase in exotic annual grass were indicated by either analysis at distances greater than 500 m from green strip fuel breaks. However, our and field data analyses disagreed on the direction of the association of exotic annual grass cover and green strip fuel breaks.

Conclusions

Although fuel breaks are an important tool in managing wildland fire, our analysis underscores the importance of planting fire-resistant vegetation, rather than mowing alone, to reduce invasion by annual grasses within and around fuel breaks in sagebrush ecosystems. In addition, site characteristics that hinder the proliferation of exotic annual grasses could be evaluated when installing fuel breaks to minimize unintended effects of exotic annual grass on surrounding sagebrush habitat.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-026-00455-x","usgsCitation":"Nash, A.L., Brussee, B.E., Weise, C.L., Shinneman, D.J., McIlroy, S.K., Webster, S.C., Mathews, S.R., Dettenmaier, S.J., Condon, L.A., Crist, M.R., Aldridge, C.L., Heinrichs, J.A., Ricca, M.A., O’Neil, S.T., and Coates, P., 2026, Invasion resistance varies by fuel break type in sagebrush ecosystems: Fire Ecology, v. 22, 40, 17 p., https://doi.org/10.1186/s42408-026-00455-x.","productDescription":"40, 17 p.","ipdsId":"IP-179064","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501718,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501962,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13H9ADF","text":"USGS data release","linkHelpText":"Code to analyze fuel breaks and exotic annual grass associations within sagebrush ecosystems of the western USA"},{"id":502043,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00455-x","text":"Publisher Index Page"}],"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 -122.63820648194779,\n 45.25800827418905\n ],\n [\n -120.41592142907835,\n 36.85076028726094\n ],\n [\n -109.11875667665349,\n 36.86493560362864\n ],\n [\n -109.36785528074041,\n 40.99708268734472\n ],\n [\n -110.7820295865994,\n 41.01150582119152\n ],\n [\n -111.218717505678,\n 44.232882662546004\n ],\n [\n -113.50710117819294,\n 45.73445789521233\n ],\n [\n -122.63820648194779,\n 45.25800827418905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nash, Austin L. 0000-0001-6753-8807","orcid":"https://orcid.org/0000-0001-6753-8807","contributorId":368894,"corporation":false,"usgs":false,"family":"Nash","given":"Austin","middleInitial":"L.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E.","contributorId":368895,"corporation":false,"usgs":false,"family":"Brussee","given":"Brianne","middleInitial":"E.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weise, Cali L.","contributorId":305785,"corporation":false,"usgs":false,"family":"Weise","given":"Cali","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":958053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":958054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 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aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":958061,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958062,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958063,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958064,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958065,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70275742,"text":"70275742 - 2026 - Stress states on the eve of past earthquakes inform earthquake rupture through fault complexity along the San Andreas and San Jacinto faults","interactions":[],"lastModifiedDate":"2026-06-02T15:25:30.439363","indexId":"70275742","displayToPublicDate":"2026-03-16T08:28:44","publicationYear":"2026","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":"Stress states on the eve of past earthquakes inform earthquake rupture through fault complexity along the San Andreas and San Jacinto faults","docAbstract":"

Estimating the evolving state of stress along active fault systems can provide insight into the conditions that generated past ground‐rupturing earthquakes and influenced their ability to propagate through areas of geometric complexity, such as fault branches and stepovers. We use quasi‐static forward numerical models that incorporate the 3D complex configuration of active faults in southern California to estimate shear tractions on the geometrically complex southern San Andreas and San Jacinto faults from 1000 to 1900 C.E. These tractions include interseismic accumulation of traction due to tectonic loading, viscoelastic relaxation of shear stress within the upper crust between earthquakes, and effects of other earthquakes on the fault network. We simulate ground‐rupturing earthquakes based on the along‐strike earthquake extents modeled by Scharer and Yule (2020), assuming that stress drop is complete in each earthquake. We use Monte Carlo simulations to estimate uncertainty in evolving shear tractions due to uncertainties in earthquake timing and in upper‐crustal viscosity. Pre‐earthquake shear tractions typically do not exceed ∼2 MPa. Although ruptures with length <200 km have pre‐earthquake shear tractions that range from near zero to ∼1.75 MPa, these tractions are not less than ∼0.4 MPa for earthquakes with rupture length >200 km. Earthquakes with long (>200 km) ruptures occur only in the single‐stranded part of the system, whereas those with short (<125 km) rupture length and high pre‐earthquake shear traction occur near fault stepovers and branches. This suggests that high accumulated shear traction encourages longer rupture propagation, but may not be sufficient to overcome geometric complexities. This modeling approach informs our understanding of rupture propagation and provides estimates of fault shear tractions that are unavailable from direct measurements.

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Pyrolysis-gas chromatography/mass spectrometry (py-GC/MS) is a powerful tool for characterizing bulk soil organic matter (SOM) at the molecular level. In this study, we used a cryo-focused py-GC/MS system to analyze soil samples from seven diverse ecosystems: vernal pool, prairie pothole, temperate forest, tropical forest, tundra, wildfire-affected boreal forest, and grassland. We addressed a key bottleneck in molecular-level SOM characterization by developing an automated data analysis pipeline to optimize py-GC/MS and complementary evolved gas analysis/mass spectrometry (EGA/MS) methods, incorporating advanced tools for data deconvolution, developing a custom compound class library, and implementing fragmentation spectrum-based molecular networking for the first time. This improved workflow was applied to soil samples from all seven ecosystems, including multiple depths and density fractions. Our findings demonstrate that ecosystem type plays a dominant role in shaping compositional differences in SOM. We also identified trends in the source of SOM compounds (e.g., microbial vs. plant-derived) across soil depth and density fractions, which are critical for understanding persistence and turnover of SOM. Our molecular networking analysis indicated that although many compounds are widespread across ecosystems, others are restricted to specific environments, such as wetlands. This underscores the utility of molecular-level data in elucidating the complexity of SOM composition and the environmental drivers that shape it. Such molecular-level insights can deepen our knowledge of biogeochemical SOM cycles.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c16415","usgsCitation":"Shahriar, A., Zavarin, M., Nuccio, E.E., Grant, K.E., McFarlane, K.J., Pett-Ridge, J., Toews, D., Sexton, J.P., Ryals, R., Baccel, J., Berndt, A.J., Boiteau, R., Jawad, I., Yang, Y., Bansal, S., O’Loughlin, E.J., Kemner, K.M., Matamala, R., and Morrison, K.D., 2026, Optimizing cryo-focused pyrolysis GC/MS for tracing soil organic matter across diverse ecosystems: Environmental Science and Technology, v. 60, no. 12, p. 9237-9249, https://doi.org/10.1021/acs.est.5c16415.","productDescription":"13 p.","startPage":"9237","endPage":"9249","ipdsId":"IP-183805","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":503783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Cass Ave., Lemont, IL 60439","active":true,"usgs":false}],"preferred":false,"id":960620,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Morrison, Keith D.","contributorId":370651,"corporation":false,"usgs":false,"family":"Morrison","given":"Keith","middleInitial":"D.","affiliations":[],"preferred":false,"id":960621,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70274502,"text":"70274502 - 2026 - Intertidal community responses to perturbations along Alaska park coastlines","interactions":[],"lastModifiedDate":"2026-03-27T17:11:25.729254","indexId":"70274502","displayToPublicDate":"2026-03-15T09:52:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Intertidal community responses to perturbations along Alaska park coastlines","docAbstract":"Nearshore ecosystems are highly productive zones with strong connections to both terrestrial\nand open ocean ecosystems. The rocky intertidal is a highly dynamic ecosystem and changes\nover a variety of spatial and temporal scales depending on the factors contributing to the\nchange. Here we summarize how nearshore communities and species responded to several\nperturbations to intertidal communities within Alaska’s coastal national parks.","language":"English","publisher":"National Park Service","usgsCitation":"Traiger, S.B., Ballachey, B., Coletti, H., and Esler, D., 2026, Intertidal community responses to perturbations along Alaska park coastlines: Alaska Park Science, v. 24, no. 1, p. 72-79.","productDescription":"8 p.","startPage":"72","endPage":"79","ipdsId":"IP-182501","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501722,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United 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Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":958032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartz, Krista K.","contributorId":368882,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":958034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273789,"text":"70273789 - 2026 - Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America","interactions":[],"lastModifiedDate":"2026-01-30T16:18:48.467802","indexId":"70273789","displayToPublicDate":"2026-03-15T09:06:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America","docAbstract":"

Ecological pressures on aquatic ecosystems have increased over recent centuries due to human activities and climate change. However, contextualizing ecosystem deterioration is often challenging due to limited knowledge of environmental changes over millennial timescales. Subtropical Carolina bays in North Carolina, USA, have remained unglaciated, preserving paleolimnological records that extend back to the last glacial period. Here, we analyzed a sediment core from the ecologically rich Lake Waccamaw spanning more than 28,000 years for aquatic proxies of nutrients, photosynthetic pigments, cyanotoxins, carbon isotopes, and terrestrial proxies of pollen and charcoal. The study explored paleolimnological changes in the aquatic environment connected to land changes and climate during the late Quaternary in the southeastern Atlantic Coastal Plain. Results reveal that while current levels of colonial cyanobacteria are high, past levels of cyanobacteria, other primary producers, and cyanotoxins were higher under natural climate variability. Abrupt ecosystem responses to increasing trophic conditions during Interstadial 3 (27.8–26.4 cal ka BP) and the early Holocene (11.4–7 cal ka BP) were marked by increases in primary producer abundance, deciduous vegetation expansion, and fire activity. Cyanobacteria remained dominant throughout the record, with colonial forms prevailing during the Holocene. Increases in pigment concentrations aligned with Quercus and were primarily driven by hydroclimatic variability and nutrient stoichiometry. Transitions between Pinus and Quercus pollen matched stadials and interstadials in the δ18Ο record from the North Greenland Ice Core Project (NGRIP). This study highlights the value of multi-proxy millennial-scale paleolimnological records for understanding aquatic ecosystem responses to climate conditions during the late Pleistocene.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2026.109842","usgsCitation":"Paradeisis-Stathis, S., Waters, M.N., Willard, D., and Vachula, R.S., 2026, Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America: Quaternary Science Reviews, v. 376, 109842, 16 p., https://doi.org/10.1016/j.quascirev.2026.109842.","productDescription":"109842, 16 p.","ipdsId":"IP-182873","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Columbus County","otherGeospatial":"Lake Waccamaw","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.55875571718715,\n 34.328104747425044\n ],\n [\n -78.55875571718715,\n 34.253886976723734\n ],\n [\n -78.46123020991186,\n 34.253886976723734\n ],\n [\n -78.46123020991186,\n 34.328104747425044\n ],\n [\n -78.55875571718715,\n 34.328104747425044\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"376","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paradeisis-Stathis, Savvas","contributorId":362173,"corporation":false,"usgs":false,"family":"Paradeisis-Stathis","given":"Savvas","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":954794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waters, Matthew N.","contributorId":365787,"corporation":false,"usgs":false,"family":"Waters","given":"Matthew","middleInitial":"N.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":954795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":954796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vachula, Richard S.","contributorId":365788,"corporation":false,"usgs":false,"family":"Vachula","given":"Richard","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":954797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274249,"text":"70274249 - 2026 - Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes","interactions":[],"lastModifiedDate":"2026-03-19T19:00:42.984594","indexId":"70274249","displayToPublicDate":"2026-03-13T13:48:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes","docAbstract":"

Freshwater lakes play a critical role in the global carbon cycle by storing and transforming organic matter (OM) from both terrestrial and aquatic sources. Small lakes in northern temperate regions, despite their limited surface area, disproportionately influence regional carbon budgets. Buried sediments integrate OM inputs over time and archive ecosystem responses to natural and anthropogenic disturbances. However, the direction and magnitude of recent environmental changes on sediment carbon (C) dynamics remain poorly understood. A 23-cm core was collected from a small temperate lake in northeastern USA to evaluate sediment OM content and composition over timescales relevant to historical land-use change, damming, and recovery from acid deposition. Patterns in OM burial and source contributions were revealed via elemental and isotopic analyses of bulk OM and ultraviolet-visible spectrophotometry of water-extractable organic matter (WEOM). The optical metrics expanded observations of likely OM sources beyond the information gained from bulk carbon metrics (total carbon, δ13C). The aromaticity of WEOM increased downcore, which is consistent with a shift from increased terrestrial inputs during early logging and damming activity (pre ∼1920) to more microbial-derived OM in recent surficial sediments. Future applications of WEOM optical properties as complements to traditional geochemical metrics can enhance interpretations of lake ecosystem responses recorded in lake sediments to environmental perturbations in temperate lakes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2026.106768","usgsCitation":"Collins, A., Gifford, S.R., Schaller, M., Stubbins, A., Wagner, S., and Ryan, K.A., 2026, Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes: Applied Geochemistry, v. 202, 106768, 14 p., https://doi.org/10.1016/j.apgeochem.2026.106768.","productDescription":"106768, 14 p.","ipdsId":"IP-182453","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2026.106768","text":"Publisher Index Page"},{"id":501326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Brant Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.65381261873293,\n 43.74614176284166\n ],\n [\n -73.74654790351629,\n 43.74614176284166\n ],\n [\n -73.74654790351629,\n 43.67947190946754\n ],\n [\n -73.65381261873293,\n 43.67947190946754\n ],\n [\n -73.65381261873293,\n 43.74614176284166\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"202","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, A.C.","contributorId":29071,"corporation":false,"usgs":true,"family":"Collins","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":957163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaller, Morgan","contributorId":260723,"corporation":false,"usgs":false,"family":"Schaller","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":957165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stubbins, Aron","contributorId":367238,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":957166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Sasha","contributorId":242609,"corporation":false,"usgs":false,"family":"Wagner","given":"Sasha","email":"","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":957167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957168,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275135,"text":"70275135 - 2026 - Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis","interactions":[],"lastModifiedDate":"2026-05-19T15:40:17.009186","indexId":"70275135","displayToPublicDate":"2026-03-13T10:32:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis","title":"Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis","docAbstract":"

Background and aims

Biocrust communities shape the soil surface in drylands, regulating important ecosystem properties. Despite this, few works address key functional attributes in these poikilohydric photosynthetic communities, including the length of metabolic activity in the field and its relationship with microclimate. We aim to disentangle the links between functional performance of a keystone biocrust species and environment in drylands, in order to better understand ecosystem functioning and services provided to the soil by these organisms.

Methods

We developed a 23 months monitoring experiment using very high resolution measurements of chlorophyll a fluorescence and microclimate in the field, comparing habitats with soils of different particle size composition and microclimatic conditions for the flagship biocrust moss Syntrichia caninervis on the Colorado Plateau, Utah, USA.

Results

While growing in soils of different composition did not impair the functional performance of the species, the sun/shade plasticity did affect key physiological attributes. Our results quantified a strategy based on avoidance of the most extreme environmental conditions, where metabolic activity only occur during 19.9% of the total time monitored. Relative humidity was the best microclimatic predictor of metabolic activity, and the annual length of metabolically active periods showed strong convergences with other drylands of the world.

Conclusions

These results collectively suggest a strong control of the environment over the ecosystem services provided by biocrusts. Our results include evidence for an improved understanding of the plasticity of S. caninervis to its variety of habitats, and its response to potential threats under different climate change scenarios.

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Here we present data for 146 reservoirs from two surveys of reservoir methane and carbon dioxide emissions, one at the regional scale in the midwestern United States and one at the national scale in the conterminous United States, plus data from one reservoir in Washington and another in Puerto Rico. At all reservoirs, ebullitive and diffusive emissions and basic physiochemistry were measured at 15-70 locations during one 22 to 64-hour period during the summers of 2016-2023, with four reservoirs revisited a second time. Concomitant water chemistry measurements were also made at an index site. The dataset is comprised of two geospatial files and seven .csv files containing greenhouse gas emissions, water chemistry, morphology, and other relevant data. 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Sea ice affects Earth's climate system on both regional and global scales. Its incorporation into climate can be used to achieve more accurate predictions of future climate. However, instrumental records of sea-ice concentration do not extend earlier than 1978. In an effort to extend this record, we constructed a proxy using the generalized additive model based on relative abundances of five easy-to-identify diatom species found in sediment samples across the Bering and Chukchi seas. Here we present the first quantitative diatom-based sea-ice proxy developed for Beringia. The developed proxy has been applied to two sediment cores in the Bering Sea ranging from 0 to 25.7 ka (HLY0204 51JPC) and 369 to 430 ka (IODP Exp 323 Site U1345) and one in the Chukchi Sea ranging from 2.7 to 10 ka (HLY0204 24JPC). The obtained reconstructions of sea-ice concentrations are similar, but not identical to previously published qualitative and nearby records based on other proxies. Because our results are quantitative, they can be incorporated into regional climate models. The proxy is publicly available as an R Shiny application (app) and can be applied to any diatom count from marine sediments in the region.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2026.113686","usgsCitation":"Nesterovich, A., and Caissie, B.E., 2026, A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 690, 113686, 19 p., https://doi.org/10.1016/j.palaeo.2026.113686.","productDescription":"113686, 19 p.","ipdsId":"IP-179048","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":505088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.9,\n 75\n ],\n [\n -160,\n 75\n ],\n [\n -160,\n 54\n ],\n [\n -179.9,\n 54\n ],\n [\n -179.9,\n 65.1571568\n ],\n [\n -179.9,\n 75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"690","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nesterovich, Anna","contributorId":371853,"corporation":false,"usgs":false,"family":"Nesterovich","given":"Anna","affiliations":[{"id":62149,"text":"Great Lakes Environmental Center","active":true,"usgs":false}],"preferred":false,"id":962465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":962466,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274757,"text":"70274757 - 2026 - Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential","interactions":[],"lastModifiedDate":"2026-05-07T15:54:18.582905","indexId":"70274757","displayToPublicDate":"2026-03-13T08:04:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential","docAbstract":"

Water quality monitoring is integral to preserving the health of freshwater ecosystems, and satellite remote sensing has emerged as one monitoring method. Sentinel-2, in particular, has been valuable for water quality monitoring due to its 5-day global temporal revisit time and spatial resolution that ranges from 10 to 60 metres. Sentinel-2 can be used to measure and monitor chlorophyll-a, which historically has been used as an indicator of water quality, eutrophication and harmful algal blooms. Our goal was to review aquatic chlorophyll-a Sentinel-2 research to assess the types of validation evidence reported. Validation evidence is defined here as the set of information key to assessing algorithm performance, and include the spatial and temporal scales of satellite validation, reported in situ sampling method context information, demonstration of validation results through plots, and appropriate algorithm performance metrics. We highlight how the body of literature collectively contributes to advancing a national scale chlorophyll-a product that could support future resource management applications. Our review of 122 published studies indicated that much of the validation evidence corresponded to early stages, as defined by the NASA data maturity framework, due to a limited focus on individual lakes and limited detail on methodology for reproducibility. Prioritizing data accessibility for both in situ data and satellite workflows used in published studies; reporting methods with transparency and consistency; and using standard algorithm performance metrics could provide a consistent framework to support and enhance the utility of satellite inland water quality research. These three quality assurance mechanisms can promote effective evaluation of approaches for remote sensing of chlorophyll-a. Adopting these quality criteria could enable the integration of validation evidence from multiple studies, supporting more spatially and temporally representative products that would advance these approaches towards maturation for broader application.

","language":"English","publisher":"Taylor and Francis","doi":"10.1080/01431161.2026.2637851","usgsCitation":"Goodrich, S., Schaeffer, B., Meyers, K., Salls, W.B., King, T.V., Seegers, B.N., Cronin-Golomb, O., Demaree, D., and Reif, M., 2026, Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential: International Journal of Remote Sensing, v. 47, no. 9, p. 3820-3845, https://doi.org/10.1080/01431161.2026.2637851.","productDescription":"26 p.","startPage":"3820","endPage":"3845","ipdsId":"IP-179166","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":502274,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502483,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431161.2026.2637851","text":"Publisher Index Page"}],"volume":"47","issue":"9","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodrich, Sarah 0009-0000-1218-8053","orcid":"https://orcid.org/0009-0000-1218-8053","contributorId":369429,"corporation":false,"usgs":false,"family":"Goodrich","given":"Sarah","affiliations":[{"id":87771,"text":"University of Cincinnati,","active":true,"usgs":false}],"preferred":false,"id":958944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaeffer, Blake 0000-0001-9794-3977","orcid":"https://orcid.org/0000-0001-9794-3977","contributorId":245603,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":958945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyers, Kate 0000-0003-2757-1068","orcid":"https://orcid.org/0000-0003-2757-1068","contributorId":369430,"corporation":false,"usgs":false,"family":"Meyers","given":"Kate","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salls, Wilson Barg 0000-0001-7505-0828","orcid":"https://orcid.org/0000-0001-7505-0828","contributorId":364473,"corporation":false,"usgs":true,"family":"Salls","given":"Wilson","middleInitial":"Barg","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seegers, Bridget N. 0000-0003-3657-632X","orcid":"https://orcid.org/0000-0003-3657-632X","contributorId":367163,"corporation":false,"usgs":false,"family":"Seegers","given":"Bridget","middleInitial":"N.","affiliations":[{"id":87582,"text":"Morgan State University, Baltimore, MD, USA And NASA Goddard Space Flight Center, USA","active":true,"usgs":false}],"preferred":false,"id":958949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin-Golomb, Olivia 0000-0003-2842-158X","orcid":"https://orcid.org/0000-0003-2842-158X","contributorId":369431,"corporation":false,"usgs":false,"family":"Cronin-Golomb","given":"Olivia","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Demaree, David 0000-0002-5122-3488","orcid":"https://orcid.org/0000-0002-5122-3488","contributorId":369432,"corporation":false,"usgs":false,"family":"Demaree","given":"David","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reif, Molly","contributorId":193971,"corporation":false,"usgs":false,"family":"Reif","given":"Molly","email":"","affiliations":[],"preferred":false,"id":958952,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}