Extreme precipitation events (EPEs), a key class of hydrometeorological extremes, are intensifying globally under climate change; however, their effects on water-table dynamics across varying soil textures remain poorly understood. To better understand the impacts of EPEs, we conducted one-dimensional modeling to evaluate water-table response time, displacement, recession time, and total recharge under EPEs of 0.20 m, 0.40 m, and 0.60 m amounts, applied over 1-, 7-, and 20-day durations across twelve soil textures. The results show that coarse soils (i.e., sand) respond within days, while fine soils (i.e., clay) may take over 200 days. Water-table displacement ranged from 0.30 to 1.64 m and increased with EPE magnitude. The time it took for water tables to recede ranged from 1.2 to 3.0 years. A first-order estimate of total possible recharge, calculated from porosity and displacement, ranged from 17% (clay) to 97% (sand), averaging ~63% across soil textures. These findings highlight that recharge is primarily governed by EPE magnitude and soil properties, not event duration. This modeling effort provides new insight into how soil texture modulates groundwater response to extreme precipitation, informing future water budget and resilience assessments.
","language":"English","publisher":"MDPI","doi":"10.3390/w18050587","usgsCitation":"Corona, C.R., Ge, S., Anderson, S.P., and Dickinson, J.E., 2026, Extreme precipitation variability and soil texture controls on water-table response: Water, v. 18, no. 5, 587, 20 p., https://doi.org/10.3390/w18050587.","productDescription":"587, 20 p.","ipdsId":"IP-160684","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":501680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18050587","text":"Publisher Index Page"},{"id":501472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Corona, Claudia R.","contributorId":152548,"corporation":false,"usgs":false,"family":"Corona","given":"Claudia","middleInitial":"R.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":957469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Shemin","contributorId":203465,"corporation":false,"usgs":false,"family":"Ge","given":"Shemin","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":957470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Suzanne P. 0000-0002-6796-6649","orcid":"https://orcid.org/0000-0002-6796-6649","contributorId":172732,"corporation":false,"usgs":false,"family":"Anderson","given":"Suzanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":957471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274150,"text":"70274150 - 2026 - Urbanization alters riverine fluorescent dissolved organic matter characteristics in a forested city – metropolitan Atlanta, Georgia (USA)","interactions":[],"lastModifiedDate":"2026-03-02T14:49:19.406602","indexId":"70274150","displayToPublicDate":"2026-02-27T08:39:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization alters riverine fluorescent dissolved organic matter characteristics in a forested city – metropolitan Atlanta, Georgia (USA)","docAbstract":"Streams and rivers in urban watersheds are predicted to export more bioreactive, autochthonous dissolved organic matter (DOM) relative to forested watersheds. However, the spatial and temporal variations of DOM quality in forested urban watersheds remain uncertain, and their relationships with socioeconomic conditions, biological characteristics, and the built environment are understudied. We measured optical properties of fluorescent DOM (FDOM) in 93 streams spanning a gradient of land-use and land cover during four seasons in metropolitan Atlanta, Georgia, USA. Streamwater FDOM was dominated by humic substances from anthropogenic (41%) and terrestrial origin (41.5%). Impervious surface cover was the strongest predictor, which was positively correlated with anthropogenically- and autochthonously-derived FDOM. Overwater canopy cover was positively associated with autochthonous FDOM, and housing age increased diagenetic FDOM. FDOM was more proteinaceous during low-flow conditions (fall, winter), and more allochthonous humic-like FDOM was detected during periods of higher flows (spring, summer). Interestingly, wastewater-related FDOM proxies were highest during low flows, suggesting that sewer exfiltration is a pervasive source and is diluted by other inputs during high flows. Overall, seasonal patterns in FDOM quality were associated with changes in hydrology, and FDOM was primarily humic throughout the year, a pattern likely driven by ubiquitous forest canopy cover. Our results highlight the importance of urban forests in mediating aquatic carbon cycling and provide a template for future studies that integrate sociodemographic and infrastructure information into studies of watershed biogeochemistry, especially in regions undergoing rapid, intense, and localized urban development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2026.124085","usgsCitation":"Chen, S., Hale, R., Hopkins, K.G., Ortiz Muñoz, L., Kominoski, J., Ledford, S., and Capps, K., 2026, Urbanization alters riverine fluorescent dissolved organic matter characteristics in a forested city – metropolitan Atlanta, Georgia (USA): Environmental Research, v. 297, 124085, 15 p., https://doi.org/10.1016/j.envres.2026.124085.","productDescription":"124085, 15 p.","ipdsId":"IP-183715","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":500667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","city":"Atlanta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.1667,\n 34\n ],\n [\n -84.7,\n 34\n ],\n [\n -84.7,\n 33.5\n ],\n [\n -84.1667,\n 33.5\n ],\n [\n -84.1667,\n 34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"297","noUsgsAuthors":false,"publicationDate":"2026-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Shuo","contributorId":343806,"corporation":false,"usgs":false,"family":"Chen","given":"Shuo","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":956692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hale, Rebecca","contributorId":348368,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":956693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":956694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ortiz Muñoz, Liz","contributorId":343807,"corporation":false,"usgs":false,"family":"Ortiz Muñoz","given":"Liz","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":956695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kominoski, John","contributorId":298258,"corporation":false,"usgs":false,"family":"Kominoski","given":"John","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":956696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ledford, Sarah","contributorId":300624,"corporation":false,"usgs":false,"family":"Ledford","given":"Sarah","email":"","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":956697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Capps, Krista A.","contributorId":270490,"corporation":false,"usgs":false,"family":"Capps","given":"Krista A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":956698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274269,"text":"70274269 - 2026 - Bird guilds exhibit varied responses to floodplain forest restoration in the Colorado River delta, Mexico","interactions":[],"lastModifiedDate":"2026-03-24T14:48:28.344876","indexId":"70274269","displayToPublicDate":"2026-02-27T07:38:28","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Bird guilds exhibit varied responses to floodplain forest restoration in the Colorado River delta, Mexico","docAbstract":"Grouping species into guilds can be useful to inform management decisions locally and at broader scales because guilds lack species-specificity. We investigated the response of five breeding bird guilds to riparian habitat restoration in the arid Colorado River delta, based on two decades of bird detections (2002–2021) at 230 bird count stations across 7 routes in actively revegetated (“restored”) sites, and 20 routes in non-actively revegetated (“control”) sites. We used guilds based on habitat associations. We also described changes in vegetation and explored their influence on bird species detections and guild dynamics. Riparian forest bird specialists responded positively to active revegetation, but this positive response was delayed and weaker in a river reach where restoration began later and featured less typical riparian vegetation. Birds associated with wetland habitat showed a positive response to restoration in the wettest reach, which had a baseline of high abundance of wetland birds in control sites and relatively abundant macrophyte cover. Conversely, the abundance of desert scrub bird specialists was highest in the driest and least vegetated restored reach. Generalists only exhibited decreased detections in the wettest restored reach. All this occurred while declines of riparian forest, wetland, desert scrub, and generalist bird species observed over a decade prior to restoration had stabilized in control sites. Detections of birds associated with agricultural fields increased in the study area, irrespective of restoration efforts. Our study demonstrates that the choice of bird guilds as ecological indicators can significantly influence the interpretation of restoration outcomes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2026.105558","usgsCitation":"González-Sargas, E., Meehan, T.D., Hinojosa-Huerta, O., Villagomez-Palma, S., Dodge, C., Gómez-Sapiens, M., Nagler, P.L., and Shafroth, P., 2026, Bird guilds exhibit varied responses to floodplain forest restoration in the Colorado River delta, Mexico: Journal of Arid Environments, v. 234, 105558, 13 p., https://doi.org/10.1016/j.jaridenv.2026.105558.","productDescription":"105558, 13 p.","ipdsId":"IP-167498","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona","city":"Yuma","otherGeospatial":"Baja California, Colorado River delta, Sonora","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.81211693979633,\n 32.68547653091534\n ],\n [\n -115.86774708609713,\n 32.31307314052428\n ],\n [\n -114.87086666471464,\n 31.381309169456074\n ],\n [\n -114.53201791755214,\n 31.615208177200756\n ],\n [\n -114.74741121436266,\n 32.276188738917746\n ],\n [\n -114.87424214545963,\n 32.73959839855473\n ],\n [\n -115.81211693979633,\n 32.68547653091534\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"234","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"González-Sargas, Eduardo","contributorId":349720,"corporation":false,"usgs":false,"family":"González-Sargas","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":957484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meehan, Timothy D.","contributorId":367699,"corporation":false,"usgs":false,"family":"Meehan","given":"Timothy","middleInitial":"D.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":957485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinojosa-Huerta, Osvel","contributorId":167198,"corporation":false,"usgs":false,"family":"Hinojosa-Huerta","given":"Osvel","affiliations":[{"id":24640,"text":"Pronatura Noroeste","active":true,"usgs":false}],"preferred":false,"id":957486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villagomez-Palma, Stefanny","contributorId":334579,"corporation":false,"usgs":false,"family":"Villagomez-Palma","given":"Stefanny","email":"","affiliations":[{"id":80193,"text":"Pronatura Noroeste, Cjon. 16 de Septiembre St, San Luis Rio Colorado, Sonora, 83440, México","active":true,"usgs":false}],"preferred":false,"id":957487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodge, Christopher","contributorId":339758,"corporation":false,"usgs":false,"family":"Dodge","given":"Christopher","email":"","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":957488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gómez-Sapiens, Martha","contributorId":292779,"corporation":false,"usgs":false,"family":"Gómez-Sapiens","given":"Martha","affiliations":[{"id":62998,"text":"Department of Geosciences, University of Arizona, Tucson, AZ 85721, USA","active":true,"usgs":false}],"preferred":false,"id":957489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":957490,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":247484,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957491,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274109,"text":"sir20265118 - 2026 - Groundwater budget for the Mountain Home area, southern Idaho, 2022–23","interactions":[],"lastModifiedDate":"2026-02-27T21:32:48.272408","indexId":"sir20265118","displayToPublicDate":"2026-02-26T15:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5118","displayTitle":"Groundwater Budget for the Mountain Home Area, Southern Idaho, 2022–23","title":"Groundwater budget for the Mountain Home area, southern Idaho, 2022–23","docAbstract":"The U.S. Geological Survey, with funding from the Idaho Department of Water Resources, developed a groundwater budget for the Mountain Home area in southern Idaho for irrigation year 2023 (November 1, 2022–October 31, 2023). This study focused on the water balance across the Cinder Cone Butte Critical Groundwater Area (CGWA), Mountain Home Groundwater Management Area (GWMA), and the rest of the study area (RoSA), compiling data from various sources, including precipitation records, groundwater level measurements, metered groundwater pumpage data, surface water diversions and evapotranspiration (ET) estimates derived from remote sensing satellite imagery, and ground-based reference data. Key inflow components included recharge from applied surface water irrigation (which incorporates incidental recharge from irrigation practices and conveyance losses), estimated tributary streamflow, and estimated mountain block recharge. The key outflow components were groundwater pumpage for irrigation, municipal, industrial, and domestic uses, and ET. Recharge from applied irrigation and mountain block recharge were the largest inflows, and groundwater pumpage for irrigation was the largest outflow.
The CGWA had a positive groundwater budget residual of 2,170 acre-feet (acre-ft), which contrasts with observed long-term groundwater level declines and historical trends of storage depletion. This positive residual is likely associated with unquantified outflows, including lateral groundwater flow out of the subregion, or other complexities, such as overestimated tributary contributions relative to the actual recharge for the 2023 water budget. The GWMA exhibited a positive residual of 56,563 acre-ft, primarily owing to recharge from applied surface water irrigation and areal recharge during a wetter-than-average year, which allowed irrigation entities to deliver more water from in-basin and out-of-basin reservoirs. The RoSA showed a large positive residual of 124,933 acre-ft. The interpretation of these positive residuals must account for significant uncertainties, including estimations of areal recharge, tributary streamflow (particularly losses and diversions), ET, the volume of surface water loss to the Snake River, lateral groundwater flows between subregions and across study area boundaries, and the unquantified groundwater discharge to the Snake River. These uncertainties, in combination with the complex hydrogeologic controls on water movement and limitations of remotely sensed data, directly affect the accuracy of water availability assessments.
Future data collection efforts would help reduce these uncertainties and support water resource management decisions in the Mountain Home area. Key efforts could include installing additional streamflow gaging stations (particularly to quantify tributary losses and gains and surface water losses to the Snake River), improving groundwater pumpage metering, and validating remotely sensed ET data with ground-based measurements. Furthermore, to better quantify unrepresented or highly uncertain fluxes, focused investigations on groundwater discharge to the Snake River, lateral groundwater flows between subregions and across study area boundaries, and a more robust determination of the actual influence and volume of mountain block recharge would help refine future water availability assessments for the Mountain Home area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265118","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Thomas, P.M., 2026, Groundwater budget for the Mountain Home area, southern Idaho, 2022–23: U.S. Geological Survey Scientific Investigations Report 2026–5118, 41 p., https://doi.org/10.3133/sir20265118.","productDescription":"Report: ix, 41 p.; Data Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-140358","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":500654,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119277.htm","linkFileType":{"id":5,"text":"html"}},{"id":500532,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13ZG67D","text":"USGS data release","linkHelpText":"Supporting data for 2022–2023 groundwater budget for the Mountain Home area, southern Idaho"},{"id":500531,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5118/images/"},{"id":500530,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5118/sir20265118.XML"},{"id":500528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5118/coverthb.jpg"},{"id":500529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5118/sir20265118.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5118"},{"id":500533,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265118/full"}],"country":"United States","state":"Idaho","otherGeospatial":"Mountain Home area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.5,\n 43.5\n ],\n [\n -116.5,\n 42.833\n ],\n [\n -115.0833,\n 42.833\n ],\n [\n -115.0833,\n 43.5\n ],\n [\n -116.5,\n 43.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520
Intersections of drainage networks and road networks represent a critical nexus between natural waterways and human infrastructure. Managing these systems involves decisions related to management of infrastructure, hydrologic and geomorphic processes, and ecological connectivity. Interactions among these systems influence multiple values, including the intactness of transportation networks, public safety, water quality, and ecosystem function that collectively amount to billions of dollars. Despite the importance of road-stream crossings, there are countless gaps in knowing where and what they are. These gaps limit the degree to which managers can inventory and assess stream and road networks to inform decisions. To address this first-level need, we developed RoadxStr (road-stream crossings): a survey tool that effectively characterizes road-stream crossings across the full stream and drainage network. This document describes the RoadxStr Field Form, available within a mobile application, which is designed for rapid and standardized data collection involving assessment of a road-stream crossing, including the road, crossing structure(s), and the nearby hydrologic channel. This document provides instructions on how to (1) access and download the RoadxStr Field Form within the mobile application service and (2) use and complete a RoadxStr Field Form survey.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm18B1","collaboration":"Prepared in cooperation with the Bureau of Land Management and U.S. Forest Service","usgsCitation":"Heaston, E., Winter, S., Bauer, S., Ronningen, T., and Dunham, J., 2026, RoadxStr user’s guide—For collection of road-stream crossing assessment field observations: U.S. Geological Survey Techniques and Methods, book 18, chap. B1, 32 p., https://doi.org/10.3133/tm18B1.","productDescription":"vii, 32 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-176750","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":500545,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/18/b1/coverthb.jpg"},{"id":500546,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/18/b1/tm18B1.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 18-B1"},{"id":500547,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/18/b1/tm18B1.XML"},{"id":500549,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm18B1/full"},{"id":500548,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/18/b1/images/"}],"contact":"Director, Forest and Rangeland Ecosystem Science Center Corvallis Research Group
3200 SW Jefferson Way
Corvallis, OR 97331
fresc_outreach@usgs.gov
Centered on Fort Morgan, Colorado, this study is intended to build from previous work by adding a three-dimensional (3D) view of the subsurface to better understand the depositional history of Quaternary deposits. A 1:100,000 scale geologic map was made by combining previous geologic maps, regional soil maps, and recent field investigations. In addition to the geologic mapping, drill hole lithologic data from water wells and oil and gas exploration were compiled and lithologic units simplified to best represent the stratigraphy of the Quaternary deposits. From these subsurface data, a 3D subsurface model was constructed, trimmed at the surface by a digital elevation model, and a bedrock surface foundation gridded from drill hole data was added. The surface of the 3D model was then compared visually to the surficial geologic map. Cross sections were constructed from the 3D model and compared to site-specific drilling that was done as part of this project. Finally, the model was examined in detail to reconstruct the depositional history of the subsurface alluvial and eolian units. Alluvial and fluvial drainage basins exposed in the subsurface have a greater areal extent than the present-day narrow drainages. Older eolian sand in the subsurface tends to be interbedded with loess indicating coeval deposition. Holocene sand, both eroded from bedrock exposed at the surface north of the study area and reworked from the South Platte River, buries most of the interbedded older sand and loess.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255052","usgsCitation":"Taylor, E.M., Berry, M.E., Mahan, S.A., and Havens, J.C., 2026, Reconstructing the Quaternary depositional history using geologic mapping and three-dimensional modeling of the subsurface near Fort Morgan, northeastern Colorado: U.S. Geological Survey Scientific Investigations Report 2025–5052, 48 p., https://doi.org/10.3133/sir20255052.","productDescription":"Report: iv, 48 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-095650","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":500655,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119276.htm","linkFileType":{"id":5,"text":"html"}},{"id":500266,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5052/sir20255052.pdf","text":"Report","size":"60.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5052"},{"id":500265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5052/coverthb.jpg"},{"id":500267,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KTS2B","text":"USGS data release","linkHelpText":"Luminescence data for: Reconstructing the Quaternary depositional history using geologic mapping and a 3D model of the subsurface in the vicinity of Fort Morgan, Eastern Colorado"},{"id":500268,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AQ72FB","text":"USGS data release","linkHelpText":"Digital drillhole lithologic data and a radiocarbon age -- data supporting interpretation of Quaternary depositional history in the vicinity of Fort Morgan, Eastern Colorado"}],"country":"United States","state":"Colorado","city":"Fort Morgan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.5,\n 40.5\n ],\n [\n -104.5,\n 40.5\n ],\n [\n -104.5,\n 40\n ],\n [\n -103.5,\n 40\n ],\n [\n -103.5,\n 40.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046
The eastern box turtle (Terrapene carolina carolina) is a long-lived terrestrial turtle species distributed throughout the eastern United States that has experienced widespread population decline. Many eastern box turtle populations are persisting as remanent populations in small, fragmented urban green spaces. We investigated the movement and resource selection of eastern box turtles within a mid-Atlantic region urban forest in the eastern United States. We used a combination of turtle occurrence data (via visual encounter surveys) and radio telemetry to create resource selection functions. Additionally, we applied a simulation modeling approach and modeled activity areas via dynamic Brownian Bridge Movement Models to quantify interactions between turtles and roads or trails. We also used these models to determine the propensity for turtles to move outside of the managed urban forest boundary and into surrounding development. We observed that turtles selected for deciduous forest patches and avoided roads and trails despite the urban forest having very little available areas where anthropogenic features could be avoided. We also demonstrated observed (and probable) movements outside of the urban forest boundary. Although eastern box turtles are persisting within the urban green space we examined, our work determined that interactions with roads and trails, and movements outside of protected boundaries into developed areas present challenges to individuals navigating the urban forest.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11252-026-01938-0","usgsCitation":"Jones, M.D., Ferebee, K.B., Ford, W., and Hunter, E.A., 2026, Boxed in or branching out? Movement and resource selection of eastern box turtles (Terrapene carolina carolina) in an urban green space: Urban Ecosystems, v. 29, 72, 14 p., https://doi.org/10.1007/s11252-026-01938-0.","productDescription":"72, 14 p.","ipdsId":"IP-180260","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11252-026-01938-0","text":"Publisher Index Page"},{"id":502028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States, mid-Atlantic region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.51749069483542,\n 39.74954311636529\n ],\n [\n -80.30490645674448,\n 33.87108405455136\n ],\n [\n -77.15471518629862,\n 32.58298528230786\n ],\n [\n -73.67400827908685,\n 39.35915324575973\n ],\n [\n -76.51749069483542,\n 39.74954311636529\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Max D.","contributorId":369034,"corporation":false,"usgs":false,"family":"Jones","given":"Max","middleInitial":"D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":958334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferebee, Kenneth B.","contributorId":369035,"corporation":false,"usgs":false,"family":"Ferebee","given":"Kenneth","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":958335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":958336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275549,"text":"70275549 - 2026 - Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie","interactions":[],"lastModifiedDate":"2026-05-19T15:45:56.487131","indexId":"70275549","displayToPublicDate":"2026-02-26T10:08:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie","title":"Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie","docAbstract":"Conservation in fragmented ecosystems, such as grasslands, has historically put more value on larger habitat patches but recent research suggests that small, high-quality habitat patches hold important conservation value. In many grassland systems, Athene cunicularia hypugaea (Western Burrowing Owl) relies on habitat patches created by Cynomys ludovicianus (Black-tailed Prairie Dog; hereafter prairie dog). Prairie dogs create important nesting habitat for A. c. hypugaea and other grassland birds. We examined the effect of size and characteristics of prairie dog colonies on A. c. hypugaea occupancy and reproductive success. We specifically looked at how colony size, prairie dog activity level, and vegetation characteristics influence these population parameters on 175 survey plots throughout eastern Colorado, U.S., across two sample years. Results are based on detections of adult and owlet A. c. hypugaea collected by paired observers traversing transects through study plots during the 2022 and 2023 A. c. hypugaea nesting seasons (May–August). Our top multistate occupancy model indicated that latitude affects A. c. hypugaea occupancy probabilities. Occupancy was higher in southern Colorado compared to northern Colorado. In addition, prairie dog activity was positively associated with A. c. hypugaea reproductive success. Colony size and vegetation characteristics were generally uninformative predictors of A. c. hypugaea occupancy and reproductive success. We compared our results to a previous A. c. hypugaea population assessment conducted within our study area in 2005 and found that active prairie dog colonies positively affected A. c. hypugaea local colonization while local extinction was driven by a transition of active prairie dog colonies to inactive. This study highlights the importance of high-quality prairie dog habitat patches for A. c. hypugaea nesting in fragmented grassland ecosystems, regardless of patch size.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duag027","usgsCitation":"Albright, S.R., Conrey, R.Y., and Kendall, W.L., 2026, Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie: Ornithological Applications, v. 128, no. 2, p. 1-12, https://doi.org/10.1093/ornithapp/duag027.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-177914","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":504185,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duag027","text":"Publisher Index Page"},{"id":503955,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"eastern Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.09881670845924,\n 41.02213445686721\n ],\n [\n -105.09881670845924,\n 37.00631611507919\n ],\n [\n -102.10629629108591,\n 37.00631611507919\n ],\n [\n -102.10629629108591,\n 41.02213445686721\n ],\n [\n -105.09881670845924,\n 41.02213445686721\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Albright, Sarah R.","contributorId":370997,"corporation":false,"usgs":false,"family":"Albright","given":"Sarah","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrey, Reesa Y.","contributorId":370998,"corporation":false,"usgs":false,"family":"Conrey","given":"Reesa","middleInitial":"Y.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":960860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274283,"text":"70274283 - 2026 - Short-term estuarine phytoplankton dynamics in response to hurricanes along the Gulf Coast of America: A Variational Autoencoder (VAE) approach with satellite and bio-optical observations","interactions":[],"lastModifiedDate":"2026-03-24T14:57:45.149791","indexId":"70274283","displayToPublicDate":"2026-02-26T09:52:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7159,"text":"JGR Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Short-term estuarine phytoplankton dynamics in response to hurricanes along the Gulf Coast of America: A Variational Autoencoder (VAE) approach with satellite and bio-optical observations","docAbstract":"Hurricanes drive diverse estuarine phytoplankton responses and can trigger cascading ecological and physicochemical impacts. Capturing these short-term dynamics requires high spatiotemporal resolution. Here, we applied a globally-applicable coastal ocean color algorithm, Variational Autoencoder (VAE), to Sentinel-2 MSI imagery for chlorophyll-a (Chl-a) estimation and validated its strong performance across the northern Gulf coast of America (GoA) estuaries, including Galveston Bay (TX), Barataria-Terrebonne Estuary (LA), Apalachicola Estuary (FL) and Tampa Bay (FL). The test set showed strong performance (MAE: 1.44 mg m−3; RMSE: 17.7 mg m−3; slope: 0.86; median symmetric accuracy: 30.33%). The validated VAE was then applied to 76 Sentinel-2 MSI images to assess phytoplankton biomass responses to hurricanes Harvey (2017), Michael (2018), Ida (2021), Francine (2024), Helene (2024), and Milton (2024) in the GoA estuaries. Results showed that hurricane disturbances on Chl-a typically lasted 3–5 weeks. Estuarine waters west (left) of hurricane tracks showed a rapid decline in Chl-a (∼5 mg m−3) due to elevated turbidity from heavy rainfall, and wind-driven flushing in the estuary, followed by a rebound over about two weeks, with Chl-a increasing approximately 10–15 mg m−3 above pre-storm levels. In contrast, right-side waters showed a slower response, likely from oligotrophic seawater intrusion driven by the hurricane's counterclockwise rotation. Post-storm observations showed increased freshwater phytoplankton like chlorophytes and cyanobacteria dominating estuaries, while shelf-waters exhibited elevated dinoflagellates (e.g., Karenia brevis bloom after Hurricane Milton). These results highlight the spatial heterogeneity of hurricane impacts on estuarine phytoplankton dynamics, which may trigger cascading effects on biogeochemical cycling and food webs, potentially prolonging ecosystem recovery.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JC023274","usgsCitation":"Li, J., Liu, B., Lou, J., Yuan, X., D'Sa, E.J., Baustian, M.M., La Peyre, M., Freeman, A., Martins, V.S., and Habib, E., 2026, Short-term estuarine phytoplankton dynamics in response to hurricanes along the Gulf Coast of America: A Variational Autoencoder (VAE) approach with satellite and bio-optical observations: JGR Oceans, v. 131, no. 3, e2025JC023274, 24 p., https://doi.org/10.1029/2025JC023274.","productDescription":"e2025JC023274, 24 p.","ipdsId":"IP-179432","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jc023274","text":"Publisher Index Page"},{"id":501448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast of America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.47819206412116,\n 26.186734663282863\n ],\n [\n -81.47819206412116,\n 30.987444570659832\n ],\n [\n -98.57147947412544,\n 30.987444570659832\n ],\n [\n -98.57147947412544,\n 26.186734663282863\n ],\n [\n -81.47819206412116,\n 26.186734663282863\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Jiang","contributorId":167428,"corporation":false,"usgs":false,"family":"Li","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":957594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":957595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lou, Jiadong","contributorId":367733,"corporation":false,"usgs":false,"family":"Lou","given":"Jiadong","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":957596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yuan, Xu","contributorId":367734,"corporation":false,"usgs":false,"family":"Yuan","given":"Xu","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":957597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"D'Sa, Eurico J.","contributorId":367735,"corporation":false,"usgs":false,"family":"D'Sa","given":"Eurico","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":957598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":957599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":957600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Freeman, Angelina","contributorId":223755,"corporation":false,"usgs":false,"family":"Freeman","given":"Angelina","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":957601,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martins, Vitor S.","contributorId":367736,"corporation":false,"usgs":false,"family":"Martins","given":"Vitor","middleInitial":"S.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":957602,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Habib, Emad","contributorId":367737,"corporation":false,"usgs":false,"family":"Habib","given":"Emad","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":957603,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273903,"text":"sir20265116 - 2026 - Erosion potential and flood vulnerability of streams and stream crossings at Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2026-05-08T14:34:40.404083","indexId":"sir20265116","displayToPublicDate":"2026-02-26T09:30:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5116","displayTitle":"Erosion Potential and Flood Vulnerability of Streams and Stream Crossings at Acadia National Park, Maine","title":"Erosion potential and flood vulnerability of streams and stream crossings at Acadia National Park, Maine","docAbstract":"Acadia National Park has had increases in the frequency and magnitude of precipitation in recent years, leading to increased flood flows, stream erosion, and costly infrastructure damage. To improve infrastructure management in a changing climate, the U.S. Geological Survey, in cooperation with the National Park Service, has developed multiple datasets that can help natural resource managers identify stream reaches and stream crossings that have the highest potential for erosion and flood damage within Acadia National Park. To develop these datasets, we first created a lidar-derived hydrography based on a 1-meter digital elevation model and then estimated peak flows at stream crossings and along the stream network using regional regression equations for Maine. We assessed the erosion potential of stream reaches by computing channel morphologic and hydrologic metrics associated with erosive power, such as stream steepness, topographic openness, and percent storage in the contributing watershed. Stream crossing flood vulnerability was assessed by comparing estimated peak flows to stream crossing conveyance capacities. Our results indicate that stream reaches in the headwaters of the Acadia National Park highlands such as Sargent, Penobscot, and Cadillac Mountain, have the highest erosion potential and generally coincide with reaches that have had erosion and infrastructure damage in the past. Stream crossings with the highest flood vulnerability are distributed throughout Mount Desert Island and Acadia National Park, especially south of Jordan Pond, north of Sargent Mountain, and surrounding Eagle Lake. Over a quarter of the total stream crossings have insufficient information to compute flood vulnerability and are often on the parts of the stream with the highest potential for erosion. The datasets allow users to identify stream reaches with the highest erosion potential, stream crossings that are most vulnerable to flood damage, and to highlight areas where supplemental field assessments could most effectively be completed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265116","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Armstrong, I.P., McCallister, M.A., Hyslop, K.M., and Benthem, A.J., 2026, Erosion potential and flood vulnerability of streams and stream crossings at Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2026–5116, 21 p., https://doi.org/10.3133/sir20265116.","productDescription":"Report: vii, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-178032","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":499817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5116/coverthb.jpg"},{"id":499818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5116/sir20265116.pdf","size":"7.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5116 PDF"},{"id":499819,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265116/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5116 HTML"},{"id":499820,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5116/sir20265116.xml","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5116 XML"},{"id":500656,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119275.htm","linkFileType":{"id":5,"text":"html"}},{"id":499821,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5116/images/"},{"id":499822,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1EHZNHN","text":"USGS data release","linkHelpText":"Data for an erosion potential and flood vulnerability assessment of streams and stream crossings at Acadia National Park, Maine"},{"id":500517,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://geonarrative.usgs.gov/acadiaerosionfloodvulnerability/","text":"Interactive dashboard","linkHelpText":"- Erosion Potential and Flood Vulnerability of Streams and Stream Crossings at Acadia National Park"}],"country":"United States","state":"Maine","otherGeospatial":"Acadia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.45003175798666,\n 44.44178922865794\n ],\n [\n -68.45003175798666,\n 44.21621316604151\n ],\n [\n -68.13514216440173,\n 44.21621316604151\n ],\n [\n -68.13514216440173,\n 44.44178922865794\n ],\n [\n -68.45003175798666,\n 44.44178922865794\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Rd.
Northborough, Massachusetts 01532
The U.S. Geological Survey, in cooperation with the National Park Service, has developed multiple datasets that can help natural resource managers identify stream reaches with the highest potential for erosion and stream crossings most vulnerable to flood damage within Acadia National Park. These datasets allow users to identify areas where supplemental field assessments could be most effectively completed.
","publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Ian P. 0000-0002-8239-8029","orcid":"https://orcid.org/0000-0002-8239-8029","contributorId":344363,"corporation":false,"usgs":true,"family":"Armstrong","given":"Ian","email":"","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCallister, Meghan A. 0000-0001-8814-7725","orcid":"https://orcid.org/0000-0001-8814-7725","contributorId":358213,"corporation":false,"usgs":true,"family":"McCallister","given":"Meghan","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hyslop, Kristina M. 0009-0001-2525-5574","orcid":"https://orcid.org/0009-0001-2525-5574","contributorId":334465,"corporation":false,"usgs":true,"family":"Hyslop","given":"Kristina","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benthem, Adam J. 0000-0003-2372-0281","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":220000,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955713,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","interactions":[{"subject":{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","indexId":"70275654","publicationYear":"2026","noYear":false,"displayTitle":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025"},"predicate":"SUPERSEDED_BY","object":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"id":1}],"supersededBy":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"lastModifiedDate":"2026-05-07T15:38:45.695517","indexId":"70275654","displayToPublicDate":"2026-02-26T08:38:17","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"displayTitle":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","docAbstract":"Red Knots (Calidris canutus rufa) rely on Atlantic horseshoe crab (Limulus polyphemus) eggs in the Delaware Bay to refuel during northward migration. Intensive harvest of horseshoe crabs in the 1990s contributed to declines in Red Knot numbers. In 2013, the Atlantic States Marine Fisheries Commission adopted an Adaptive Resource Management (ARM) framework to balance sustainable horseshoe crab harvest with ecosystem integrity and Red Knot recovery, requiring annual stopover population estimates. We estimated the 2025 passage population of Red Knots at Delaware Bay using a Bayesian analysis of a Jolly–Seber mark–resight model which accounts for population turnover and imperfect detection. We also evaluated change in migration timing between 2011 and 2025 with model-derived estimates of arrival at the Delaware Bay each year. The 2025 passage population was 54,043 individuals (95% credible interval: 47,926–61,928), an increase of approximately 17% over 2024 and only the second year since 2011 to exceed 50,000 individuals. Despite the increase, overlapping credible intervals across years indicate a stable stopover population. Migration timing has remained consistent, with 50% of the population typically arriving by 18 May and no evidence of advancement since 2011. These findings provide meaningful input for the ARM framework, supporting sustainable harvest of horseshoe crabs while maintaining adequate foraging opportunities for Red Knots and other shorebirds.
","language":"English","publisher":"BioRxiv","doi":"10.64898/2026.02.25.708011","usgsCitation":"Lyons, J., 2026, Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025: BioRxiv, preprint posted February 26, 2026, https://doi.org/10.64898/2026.02.25.708011.","productDescription":"19 p.","ipdsId":"IP-185336","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504221,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.64898/2026.02.25.708011","text":"External Repository"},{"id":504081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961319,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276374,"text":"70276374 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","interactions":[{"subject":{"id":70276374,"text":"70276374 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276374","publicationYear":"2026","noYear":false,"displayTitle":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"predicate":"SUPERSEDED_BY","object":{"id":70276372,"text":"70276372 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276372","publicationYear":"2026","noYear":false,"title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"id":1}],"supersededBy":{"id":70276372,"text":"70276372 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276372","publicationYear":"2026","noYear":false,"title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"lastModifiedDate":"2026-06-02T13:33:41.991514","indexId":"70276374","displayToPublicDate":"2026-02-26T08:16:57","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"displayTitle":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","docAbstract":"We assembled and annotated a chromosome-level reference genome for the Western Spadefoot, Spea hammondii (Anura, Scaphiopodidae) representing one of only three amphibians included in the California Conservation Genomics Project (CCGP). Spea hammondii is a vernal pool breeding anuran native to California and northwestern Baja California which has undergone both range contractions and local extirpations across its distribution, primarily due to habitat loss and degradation and drought. The species is recognized by the state of California as a Species of Special Concern and is proposed for listing under the United States Endangered Species Act.
Using the established CCGP pipeline, this S. hammondii genome was produced using Pacific Biosciences HiFi long-reads and Omni-C proximity ligation, resulting in a de novo genome assembly 1.14 Gb in length, distributed across 479 scaffolds (scaffold N50 = 120.8 Mb; largest scaffold = 183.6 Mb) with a BUSCO completeness score of 90.9% using a conserved tetrapod ortholog set. Our assembly shows high base accuracy (QV = 63.7) and low frameshift error in coding regions (QV 50.42). Annotation of this genome yielded 20,434 genes with a BUSCO completeness score of 94.7%. This reference genome, in combination with range-wide resequencing data from CCGP, will facilitate statewide population genomic assessments to delineate conservation units, quantify inbreeding and genomic load, and test for adaptive variation associated with vernal pool hydrology and drought tolerance, all of which are important considerations in the proposed federal listing.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.11.16.688715","usgsCitation":"Thompsky, B., Beraut, E., Cooper, R.D., Escalona, M., Espinoza, R.E., Fisher, R.N., Miller, C., Nguyen, O., Sacco, S., Sahasrabudhe, R., Seligmann, W.E., Tofflemier, E., Wang, I.J., and Schaffer, H.B., 2026, A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii: BioRxiv, preprint posted February 26, 2026, https://doi.org/10.1101/2025.11.16.688715.","productDescription":"24 p.","ipdsId":"IP-186115","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompsky, Ben","contributorId":371642,"corporation":false,"usgs":false,"family":"Thompsky","given":"Ben","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Robert D.","contributorId":371650,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","middleInitial":"D.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Espinoza, Robert E.","contributorId":371651,"corporation":false,"usgs":false,"family":"Espinoza","given":"Robert","middleInitial":"E.","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":962247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Courtney","contributorId":371645,"corporation":false,"usgs":false,"family":"Miller","given":"Courtney","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962249,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":962250,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sacco, Samuel","contributorId":299349,"corporation":false,"usgs":false,"family":"Sacco","given":"Samuel","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962251,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sahasrabudhe, Ruta","contributorId":367055,"corporation":false,"usgs":false,"family":"Sahasrabudhe","given":"Ruta","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":962252,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seligmann, William E.","contributorId":371658,"corporation":false,"usgs":false,"family":"Seligmann","given":"William","middleInitial":"E.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962253,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tofflemier, Erin","contributorId":371647,"corporation":false,"usgs":false,"family":"Tofflemier","given":"Erin","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962254,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wang, Ian J.","contributorId":371659,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":962255,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schaffer, H. Bradley","contributorId":371660,"corporation":false,"usgs":false,"family":"Schaffer","given":"H.","middleInitial":"Bradley","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962256,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70275084,"text":"70275084 - 2026 - Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data","interactions":[],"lastModifiedDate":"2026-04-15T15:02:05.992722","indexId":"70275084","displayToPublicDate":"2026-02-26T07:54:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data","docAbstract":"Additional case studies demonstrate the algorithm's ability to handle surface water extent in sand-dominated deserts, to track seasonal amplitude in Folsom Lake (California), drought-induced loss in Cerro Prieto Reservoir (Mexico), and rapid filling of the Grand Ethiopian Renaissance Dam. These results show that the method scales across local to global domains and maintains high accuracy, providing a practical tool for near-real-time monitoring of floods, droughts, and water-resource management. Because the approach is sensor-agnostic, it can be ported to forthcoming L- and S-band missions such as NASA-ISRO synthetic aperture radar (NISAR), broadening its applicability to future hydrologic observations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115326","usgsCitation":"Jung, J., Fattahi, H., Jeong, S., Bonnema, M.G., Jones, J.W., Bekaert, D., Chan, S.K., and Handweger, A.L., 2026, Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data: Remote Sensing of Environment, v. 337, 115326, 21 p., https://doi.org/10.1016/j.rse.2026.115326.","productDescription":"115326, 21 p.","ipdsId":"IP-183308","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":503010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115326","text":"Publisher Index Page"},{"id":502816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"337","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jung, Jungkyo","contributorId":369929,"corporation":false,"usgs":false,"family":"Jung","given":"Jungkyo","affiliations":[{"id":64090,"text":"NASA Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":959401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fattahi, Heresh","contributorId":292160,"corporation":false,"usgs":false,"family":"Fattahi","given":"Heresh","email":"","affiliations":[],"preferred":false,"id":959402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeong, Seongsu","contributorId":369930,"corporation":false,"usgs":false,"family":"Jeong","given":"Seongsu","affiliations":[{"id":64090,"text":"NASA Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":959403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonnema, Matthew G.","contributorId":369931,"corporation":false,"usgs":false,"family":"Bonnema","given":"Matthew","middleInitial":"G.","affiliations":[{"id":64090,"text":"NASA Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":959404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":959405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bekaert, David","contributorId":267754,"corporation":false,"usgs":false,"family":"Bekaert","given":"David","affiliations":[{"id":13294,"text":"Woods Hole Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":959406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chan, Steven K.","contributorId":369933,"corporation":false,"usgs":false,"family":"Chan","given":"Steven","middleInitial":"K.","affiliations":[{"id":64090,"text":"NASA Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":959407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Handweger, Alexander L.","contributorId":369934,"corporation":false,"usgs":false,"family":"Handweger","given":"Alexander","middleInitial":"L.","affiliations":[{"id":64090,"text":"NASA Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":959408,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273923,"text":"sir20265120 - 2026 - Methods for estimating selected streamflow statistics at ungaged sites in Wyoming based on data through water year 2021","interactions":[],"lastModifiedDate":"2026-04-10T15:07:21.627462","indexId":"sir20265120","displayToPublicDate":"2026-02-26T07:11:17","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5120","displayTitle":"Methods for Estimating Selected Streamflow Statistics at Ungaged Sites in Wyoming Based on Data Through Water Year 2021","title":"Methods for estimating selected streamflow statistics at ungaged sites in Wyoming based on data through water year 2021","docAbstract":"The U.S. Geological Survey, in cooperation with the Wyoming Water Development Office, developed regional regression equations based on basin characteristics and streamflow statistics for streamgages through water year 2021 (October 1, 2020, to September 30, 2021). The regression equations allow estimates of mean annual maximum, mean annual, mean seasonal, and mean monthly streamflows; frequency statistics for the 7-day mean low flows with 2-year and 10-year recurrence intervals, 14- and 30-day mean low flows with 5-year recurrence intervals, and 60- and 1-day mean high flow with 2-year and 5-year recurrence intervals, respectively; and the 0.1-, 0.2-, 0.5-, 1-, 2-, 4-, 5-, 10-, 20-, 25-, 30-, 50-, 60-, 70-, 75-, 80-, 90-, 95-, 98-, and 99-percent durations for annual streamflows and 0.1-, 0.5-, 10-, 15-, 20-, 25-, 30-, 40-, 50-, 60-, 70-, 75-, 80-, 85-, 90-, 95-, and 99-percent durations for monthly streamflows for most months for ungaged locations in Wyoming that are largely unaltered by diversions or upstream reservoirs.
Regression equations were developed for 243 streamflow statistics. Best-subset selection was used to assess explanatory variables for respective streamflow statistics. Exploratory data analyses determined that, of the 81 basin characteristics evaluated as potential explanatory variables, characteristics such as drainage area and precipitation often produced models with the highest adjusted coefficient of determination and lowest mean squared error, as determined in the best-subset selection. To address heteroskedasticity of model residuals, model variables were regionalized using fixed-effects models; the percentages of the streamgage basins in selected ecoregions were defined as interaction terms, which represent the model slope for specific ecoregions. Most models were determined to be statistically significant for probability values less than or equal to 0.1 for one or more regional explanatory variables. The final regional regression equations defined in this report are available for use in the U.S. Geological Survey’s StreamStats web application at https://streamstats.usgs.gov/ss/.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265120","collaboration":"Prepared in cooperation with the Wyoming Water Development Office","usgsCitation":"Taylor, N.J., and Sando, R., 2026, Methods for estimating selected streamflow statistics at ungaged sites in Wyoming based on data through water year 2021: U.S. Geological Survey Scientific Investigations Report 2026–5120, 38 p., https://doi.org/10.3133/sir20265120.","productDescription":"Report: vii, 38 p.; 1 Linked Appendix Table; Data Release; Dataset","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-179497","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":500115,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":500657,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119274.htm","linkFileType":{"id":5,"text":"html"}},{"id":500117,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265120/full"},{"id":500114,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14WLVAH","text":"USGS data release","linkHelpText":"Regression equations for selected streamflow statistics based on data through water year 2021 in and near Wyoming"},{"id":500113,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2026/5120/downloads/","text":"Table 1.1","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":500112,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5120/images/"},{"id":500109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5120/coverthb.jpg"},{"id":500110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5120/sir20265120.pdf","text":"Report","size":"7.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5120"},{"id":500111,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5120/sir20265120.XML"}],"country":"United States","state":"Colorado, Idaho, Montana, North Dakota, South Dakota, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.82002110650585,\n 46.421867179561445\n ],\n [\n -113.82002110650585,\n 39.89961451938157\n ],\n [\n -103.32595673094282,\n 39.89961451938157\n ],\n [\n -103.32595673094282,\n 46.421867179561445\n ],\n [\n -113.82002110650585,\n 46.421867179561445\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
Magnitude and frequency of annual peak streamflows were computed for 813 streamgages on rural, unregulated streams with annual peak streamflow data from 1791 through the 2021 water years in and near Virginia and West Virginia. The study was done in cooperation with the Federal Emergency Management Agency, the West Virginia Department of Transportation, and the Virginia Department of Transportation.
Regression equations were developed for estimating flood frequency and magnitude. Twelve regions with homogeneous flood characteristics were identified. Generalized least squares regression equations relating logarithmic-transformed drainage area and peak streamflow were developed for the 0.5, 0.2, 0.1, 0.04, 0.02, 0.01, 0.005, and 0.002 annual exceedance probabilities (AEPs). Drainage area was the only significant variable for all equations. The range of drainage areas used to develop the equations differed for each region; the smallest drainage area in any region was 0.21 square miles (mi2) and the largest drainage area in any region is 2,966 mi2. Pseudo coefficient of determination (pseudo-R2) values for regression equations ranged from 0.481 to 0.995 for all regions and AEPs. Performance metrics and diagnostic plots indicated that equations for 11 of the 12 regions showed generally good performance, with pseudo-R2 values ranging from 0.762 to 0.968 for the 0.01 AEP.
The overall average change in at-site 0.01 AEP annual peak streamflows at individual streamgages was 0.5 percent compared to the most recent 2011 Virginia study and 2.3 percent compared to the most recent 2010 West Virginia study. Changes from the previous studies for estimates from regional equations for the 0.01 AEP, solved specifically for a 50 mi2 basin, ranged from a 30 percent increase to a 45 percent decrease in areas where the previous regions overlapped with the current regions by 750 mi2 or more.
New regional skews were developed using Bayesian weighted least-squares/Bayesian generalized least-squares regression for two skew regions that included the study area. A constant regional skew of 0.50 was computed for streams in Virginia, West Virginia, and Maryland that drain to the Atlantic Ocean. A constant regional skew of 0.048 was computed for streams that drain to the Gulf of America, including streams in Kentucky and Tennessee, most of West Virginia, far southwestern Virginia, and part of western Maryland.
About 12 percent of the 418 streamgages with 30 or more gaged peaks had statistically significant (p-value [significance level] less than or equal to 0.05) trends, with 40 of these exhibiting positive trends and 11 exhibiting negative trends. Streamgages with 30 percent or greater development were excluded from regression analyses.
A regulation index was developed that accounted for storage and drainage area of dams and drainage area at the streamgage; a value of 0.0040 or more for the regulation index indicates regulated peak streamflow. Frequency analyses were done at 86 streamgages on regulated streams.
Regression procedures developed in this study are applicable only to rural, unregulated streams within Virginia and West Virginia with drainage basins that (1) are within the range of drainage areas used to develop the equations for each region, (2) included less than 30 percent of developed area, and (3) had a regulation index less than 0.0040.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255110","isbn":"978-1-4113-4656-7","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the West Virginia Department of Transportation, and the Virginia Department of Transportation","usgsCitation":"Messinger, T., Duda, J.M., Wagner, D.M., O'Shea, P.S., Scott, J.D., and Kandel, C., 2026, Estimation of magnitude and frequency of floods for rural, unregulated streams in and near Virginia and West Virginia: U.S. Geological Survey Scientific Investigations Report 2025–5110, 85 p., https://doi.org/10.3133/sir20255110.","productDescription":"Report: vii, 85 p.; Data Release","numberOfPages":"85","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-169653","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":500658,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119273.htm","linkFileType":{"id":5,"text":"html"}},{"id":500179,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RBZ8OJ","text":"USGS data release","linkHelpText":"Data in support of estimation of magnitude and frequency of floods for rural, unregulated streams in and near Virginia and West Virginia"},{"id":500174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5110/coverthb.jpg"},{"id":500175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5110/sir20255110.pdf","size":"34.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5110 PDF"},{"id":500176,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255110/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5110 HTML"},{"id":500177,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5110/sir20255110.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5110 XML"},{"id":500178,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5110/images/"}],"country":"United States","state":"Kentucky, Maryland, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84,\n 41\n ],\n [\n -84,\n 35\n ],\n [\n -75,\n 35\n ],\n [\n -75,\n 41\n ],\n [\n -84,\n 41\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228
The Lower Eastern Shore Tributary Summary outlines change over time according to a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the period 1985 – 2023, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring (March-May) and summer (July-September) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in an Appendix B. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as winddriven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submersed aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the Lower Eastern Shore. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who use tidal water quality to inform management decisions, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. The Tributary Summary documents are sources of readily available background for change over time in tidal water quality observed with monitoring data. They help answer questions related to water quality, show how landscape factors drive water-quality changes over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps.
","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K.S., Duran, G., Smith, E., Karrh, R., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M., Devereux, O., Zhang, Q., Murphy, R., Butler, T., Van Note, V., and Wei, Z., 2026, Lower Eastern Shore Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2023, 82 p.","productDescription":"82 p.","ipdsId":"IP-179870","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":500535,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/projects/tributary-summaries1"},{"id":504870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"lower eastern shore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2714125165923,\n 38.5756178\n ],\n [\n -75.4205984,\n 38.5756178\n ],\n [\n -75.4205984,\n 37.91821604284614\n ],\n [\n -76.2714125165923,\n 37.91821604284614\n ],\n [\n -76.2714125165923,\n 38.5756178\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Breck Maura 0000-0002-9199-7568","orcid":"https://orcid.org/0000-0002-9199-7568","contributorId":291929,"corporation":false,"usgs":true,"family":"Sullivan","given":"Breck","email":"","middleInitial":"Maura","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gootman, Kaylyn S. 0000-0001-7046-1716","orcid":"https://orcid.org/0000-0001-7046-1716","contributorId":362130,"corporation":false,"usgs":false,"family":"Gootman","given":"Kaylyn","middleInitial":"S.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":962142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duran, Gabriel","contributorId":359981,"corporation":false,"usgs":false,"family":"Duran","given":"Gabriel","affiliations":[{"id":52803,"text":"Chesapeake Research Consortium","active":true,"usgs":false}],"preferred":false,"id":962143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Eva","contributorId":371616,"corporation":false,"usgs":false,"family":"Smith","given":"Eva","affiliations":[],"preferred":false,"id":962144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karrh, Renee","contributorId":245830,"corporation":false,"usgs":false,"family":"Karrh","given":"Renee","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Cindy","contributorId":331409,"corporation":false,"usgs":false,"family":"Johnson","given":"Cindy","email":"","affiliations":[{"id":79202,"text":"VA DEQ","active":true,"usgs":false}],"preferred":false,"id":962146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mason, Christopher A. 0000-0001-9001-8244","orcid":"https://orcid.org/0000-0001-9001-8244","contributorId":225681,"corporation":false,"usgs":true,"family":"Mason","given":"Christopher","middleInitial":"A.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perry, Elgin","contributorId":243340,"corporation":false,"usgs":false,"family":"Perry","given":"Elgin","affiliations":[{"id":48694,"text":"Statistics Consultant","active":true,"usgs":false}],"preferred":false,"id":962148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bhatt, Gopal","contributorId":331411,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":962149,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962150,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962151,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harcum, Jon","contributorId":243341,"corporation":false,"usgs":false,"family":"Harcum","given":"Jon","email":"","affiliations":[{"id":48695,"text":"Tetra Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":962152,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Mike","contributorId":331414,"corporation":false,"usgs":false,"family":"Lane","given":"Mike","email":"","affiliations":[{"id":39577,"text":"ODU","active":true,"usgs":false}],"preferred":false,"id":962153,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Devereux, Olivia","contributorId":331415,"corporation":false,"usgs":false,"family":"Devereux","given":"Olivia","affiliations":[{"id":79203,"text":"Devereux Environmental Consulting","active":true,"usgs":false}],"preferred":false,"id":962154,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhang, Qian","contributorId":331417,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":962155,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Murphy, Rebecca","contributorId":331418,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":962156,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Butler, Tom","contributorId":331422,"corporation":false,"usgs":false,"family":"Butler","given":"Tom","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":962157,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Van Note, Vanessa","contributorId":331423,"corporation":false,"usgs":false,"family":"Van Note","given":"Vanessa","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":962158,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wei, Zhaoying","contributorId":331424,"corporation":false,"usgs":false,"family":"Wei","given":"Zhaoying","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":962159,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70274128,"text":"70274128 - 2026 - Decadal trends in the quality of groundwater used for public drinking-water supply in California, 2004–2023, California groundwater ambient monitoring and assessment program, priority basin project","interactions":[],"lastModifiedDate":"2026-02-26T16:50:19.952587","indexId":"70274128","displayToPublicDate":"2026-02-25T10:43:52","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"title":"Decadal trends in the quality of groundwater used for public drinking-water supply in California, 2004–2023, California groundwater ambient monitoring and assessment program, priority basin project","docAbstract":"This study provides a comprehensive assessment of decadal changes in the quality of groundwater used for public drinking-water supply at 444 monitoring sites across California during 2004–2023. We assessed decadal step trends in groundwater quality for 145 water-quality constituents and geochemical indicators statewide and across geographic and land-use based network groups. We evaluated the statistical significance of directional changes (predominant increase or decrease of constituent concentrations) and the magnitude of those changes across all network groups.
Uranium showed the most widespread directional and high-magnitude increases of all constituents with regulatory benchmarks statewide, particularly in the agriculture-dominated Central Valley as well as urban- and desert-dominated regions of Southern California. Fluoride and perchlorate showed the most widespread directional and high-magnitude decreases of all constituents with regulatory benchmarks statewide, which were also most pronounced in Southern California. Although arsenic and nitrate did not often register significant directional changes across network groups, they showed widespread, high-magnitude changes in both directions (increase and decrease) at levels often exceeding 10 percent of respective regulatory benchmarks statewide. Triazine herbicides (atrazine and simazine) and the gasoline oxygenate methyl tert-butyl ether (MTBE) showed significant directional decreases statewide, but not at levels considered to be of high magnitude compared to respective regulatory benchmarks.
We observed significant directional and high-magnitude increases of total dissolved solids (TDS) statewide, which were most pronounced in agricultural areas. Analysis of explanatory geochemical indicators indicated that prevalent statewide increases of alkalinity and calcium were the predominant components of the observed statewide increases in TDS by mass. Widespread increases in groundwater alkalinity and calcium across agricultural and urban areas may be related, in part, to warm-season irrigation and other anthropogenic factors that have shifted soil weathering dynamics over the long term. Increasing alkalinity concentrations were related to increasing uranium concentrations, particularly in areas with aquifer materials derived from granitic rocks. Conversely, increasing calcium concentrations were related to decreasing fluoride concentrations, particularly in areas where fluoride occurred naturally at elevated concentrations. Decrease of perchlorate, triazine herbicides, and MTBE are likely related to decreased anthropogenic source inputs over time and natural attenuation in aquifers.
As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used and enhanced further to serve such issues. In this paper, we use three examples from multiple sectors to (1) identify the role of USGS NSHMs in evaluating seismic risks to critical infrastructure, (2) quantify potential impacts from NSHM enhancements (i.e., [i] hazard curves for the vertical component of ground motion, [ii] stochastic event sets, and [iii] maps of probabilistic ground failure hazards), and (3) clarify the feasibility of relevant NSHM improvements. We illuminate that NSHMs are commonly used in location-specific performance assessments, whereas earthquake effects on critical infrastructure can be widespread across large geospatial regions. Further, we found that without the NSHM extensions considered here, risk can be severely underestimated, e.g., neglecting ground failure hazards can underestimate regional loss by a factor of two or more. Although many challenges remain, we developed example prototypes to clarify the feasibility of the NSHM extensions, which can facilitate improved management of risks to critical infrastructure.
","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70019","usgsCitation":"Jaiswal, K.S., and Kwong, N.S., 2026, Opportunities for the U.S. Geological Survey’s National Seismic Hazard Model to improve seismic risk assessment of critical infrastructure.: Earthquake Spectra Journal, v. 42, no. 2, e70019, 20 p., https://doi.org/10.1002/esp4.70019.","productDescription":"e70019, 20 p.","ipdsId":"IP-170554","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":502099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70019","text":"Publisher Index Page"},{"id":502045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":958486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":369125,"corporation":false,"usgs":false,"family":"Kwong","given":"N.","middleInitial":"Simon","affiliations":[{"id":87727,"text":"Senior project engineer, Lettis Consultants International, Inc., Concord, CA 94520","active":true,"usgs":false}],"preferred":false,"id":958487,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274637,"text":"70274637 - 2026 - Invasive carps versus native fish: A first-pass trait-based index for assessing competition threats.","interactions":[],"lastModifiedDate":"2026-04-02T17:24:54.415981","indexId":"70274637","displayToPublicDate":"2026-02-25T10:17:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Invasive carps versus native fish: A first-pass trait-based index for assessing competition threats.","docAbstract":"Introduction:
Bigheaded carp (Hypophthalmichthys spp.) are invasive fish in the Mississippi River basin. Their rapid proliferation has raised concerns about exploitative competition with native fishes, with consequences that remain incompletely understood. We aimed to identify native species most susceptible to competition based on overlap with bigheaded carp in dietary and habitat traits.
Methods:
We used an established fish traits database to quantify dietary and habitat overlap between bigheaded carp and 100 native fish species. We then integrated dietary and habitat overlap into a composite competition index.
Results:
Dietary similarity with the native assemblage exceeded habitat similarity, suggesting that while competition with some native species may occur, it may often be limited by spatial separation. Dietary and habitat similarity coefficients were not correlated, indicating that strong dietary overlap did not necessarily coincide with similar habitat use (and vice versa). Approximately 20% of species were classified as high competition risk. The highest-risk species included bigmouth buffalo (Ictiobus cyprinellus), threadfin shad (Dorosoma petenense), black redhorse (Moxostoma duquesnii), bluntnose minnow (Pimephales notatus), highfin carpsucker (Carpiodes velifer), and gizzard shad (Dorosoma cepedianum).
Discussion:
Although trait-based predictions have limitations, our results are consistent with empirically documented interactions and provide a rapid, first-pass assessment of potential competitive vulnerability. Dietary overlap, habitat overlap, and the derived competition index offer actionable decision-support for managing potential competition between bigheaded carp and native species. We included ten practical recommendations to translate predictions into conservation and management actions.
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 269 million barrels of oil and 14.3 trillion cubic feet of gas in the Larsen Basin, Antarctica.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263063","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Pitman, J.K., Le, P.A., Cicero, A.D., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2026, Assessment of undiscovered conventional oil and gas resources of the Larsen Basin, Antarctica, 2025: U.S. Geological Survey Fact Sheet 2026–3063, 4 p., https://doi.org/10.3133/fs20263063.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-182057","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":500693,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119286.htm","linkFileType":{"id":5,"text":"html"}},{"id":500515,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263063/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3063"},{"id":500514,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3063/fs20263063.xml"},{"id":500356,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14LT9DY","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Larsen Basin, Antarctica—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":500513,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3063/images"},{"id":500355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3063/fs20263063.pdf","text":"Report","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3063"},{"id":500354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3063/coverthb.jpg"}],"otherGeospatial":"Antarctica, Larsen Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80,\n -60\n ],\n [\n -80,\n -73.5\n ],\n [\n -45,\n -73.5\n ],\n [\n -45,\n -60\n ],\n [\n -80,\n -60\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
1. Rising timber demand is transforming forest structure globally, profoundly affecting biodiversity and climate resilience. Logging-driven fragmentation is potentially a major driver of biodiversity loss in production landscapes, yet its interactions with escalating climate stressors remain poorly understood.
2. We combine two decades of Landsat-derived habitat metrics with 29,000 surveys of the marbled murrelet (Brachyramphus marmoratus)—an iconic Pacific Northwest old-forest specialist seabird affecting management of >10 million hectares. Controlling for habitat amount and detection probability, increasing landscape-scale forest edge amount sharply reduces murrelet occupancy, with impacts worsening under unfavourable climate-driven ocean conditions.
3. Comparing alternative landscape-scale timber harvest strategies, spatially concentrated logging consistently supports higher murrelet populations than fragmented approaches producing equivalent wood volumes, with benefits amplified under adverse ocean conditions. However, historical harvesting policies in the Pacific Northwest have instead driven severe habitat fragmentation, which we show is eroding the value of core set-aside forests on federal and conservation lands and ultimately rendering murrelets more vulnerable to climate change.
4. Synthesis and applications: We map key opportunities to boost populations by reducing edginess around remaining nesting habitat and investigate these opportunities' spatial distribution across land ownership and timber productivity gradients. Concentrating logging could be critical for mitigating fragmentation and climate threats for murrelets and potentially other forest-dependent species amid rising timber demand.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.70317","usgsCitation":"Cerullo, G., Gannon, D., Bailey Guerrero, J.A., Conklin, E., Kohlberg, A., Nelson, K., Rivers, J.W., Valente, J., Yang, Z., and Betts, M.G., 2026, Spatially concentrating logging could mitigate climate-magnified fragmentation risks to a globally endangered bird: Journal of Applied Ecology, v. 63, no. 2, e70317, 15 p., https://doi.org/10.1111/1365-2664.70317.","productDescription":"e70317, 15 p.","ipdsId":"IP-181232","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.70317","text":"Publisher Index Page"},{"id":502015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.62346834330545,\n 49.423390089555795\n ],\n [\n -125.05731376141374,\n 37.49095069699514\n ],\n [\n -119.79362574221338,\n 38.47443712695113\n ],\n [\n -119.85861425224797,\n 41.78784262090305\n ],\n [\n -116.86760646031209,\n 41.957392910252224\n ],\n [\n -117.25973955716492,\n 49.423390089555795\n ],\n [\n -126.62346834330545,\n 49.423390089555795\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"63","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Cerullo, Gianluca","contributorId":369152,"corporation":false,"usgs":false,"family":"Cerullo","given":"Gianluca","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannon, Dusty","contributorId":369153,"corporation":false,"usgs":false,"family":"Gannon","given":"Dusty","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey Guerrero, Jennifer A.","contributorId":369154,"corporation":false,"usgs":false,"family":"Bailey Guerrero","given":"Jennifer","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conklin, Emily","contributorId":369155,"corporation":false,"usgs":false,"family":"Conklin","given":"Emily","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kohlberg, Anna Bloch","contributorId":369156,"corporation":false,"usgs":false,"family":"Kohlberg","given":"Anna Bloch","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Kim","contributorId":92810,"corporation":false,"usgs":false,"family":"Nelson","given":"Kim","affiliations":[],"preferred":false,"id":958549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rivers, James W.","contributorId":369162,"corporation":false,"usgs":false,"family":"Rivers","given":"James","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yang, Zhiqiang","contributorId":219468,"corporation":false,"usgs":false,"family":"Yang","given":"Zhiqiang","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":958552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":" Betts, Matthew G.","contributorId":369163,"corporation":false,"usgs":false,"family":" Betts","given":"Matthew","middleInitial":"G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958553,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","interactions":[{"subject":{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","indexId":"70275654","publicationYear":"2026","noYear":false,"displayTitle":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025"},"predicate":"SUPERSEDED_BY","object":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"id":1}],"lastModifiedDate":"2026-05-07T13:58:25.534295","indexId":"70275649","displayToPublicDate":"2026-02-25T08:52:39","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"displayTitle":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","docAbstract":"Red Knots(Calidris canutus rufa) rely on Atlantic horseshoe crab (Limulus polyphemus) eggs in the Delaware Bay to refuel during northward migration. Intensive harvest of horseshoe crabs in the 1990s contributed to declines in Red Knot numbers. In 2013, the Atlantic States Marine Fisheries Commission adopted an Adaptive Resource Management (ARM) framework to balance sustainable horseshoe crab harvest with ecosystem integrity and Red Knot recovery, requiring annual stopover population estimates. We estimated the 2025 passage population of Red Knots at Delaware Bay using a Bayesian analysis of a Jolly–Seber mark–resight model which accounts for population turnover and imperfect detection. We also evaluated change in migration timing between 2011 and 2025 with model-derived estimates of arrival at the Delaware Bay each year. The 2025 passage population was 54,043 individuals (95% credible interval: 47,926–61,928), an increase of approximately 17% over 2024 and only the second year since 2011 to exceed 50,000 individuals. Despite the increase, overlapping credible intervals across years indicate a stable stopover population. Migration timing has remained consistent, with 50% of the population typically arriving by 18 May and no evidence of advancement since 2011. These findings provide meaningful input for the ARMframework, supporting sustainable harvest of horseshoe crabs while maintaining adequate foraging opportunities for Red Knots and other shorebirds.
","language":"English","publisher":"Delaware Department of Natural Resources and Environmental Control","usgsCitation":"Lyons, J., 2026, Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025, 19 p.","productDescription":"19 p.","ipdsId":"IP-187379","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504071,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dnrec.delaware.gov/"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1568427,\n 38.7579989\n ],\n [\n -74.7350003,\n 39.1195335\n ],\n [\n -75.4810365,\n 39.497309\n ],\n [\n -75.6333684,\n 39.4731924\n ],\n [\n -75.441977,\n 39.0285642\n ],\n [\n -75.1568427,\n 38.7579989\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961305,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274558,"text":"70274558 - 2026 - Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin","interactions":[],"lastModifiedDate":"2026-04-01T21:50:31.887349","indexId":"70274558","displayToPublicDate":"2026-02-24T14:37:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin","docAbstract":"Accurate estimation of earthquake source parameters—such as moment magnitudes, corner frequencies, and stress drops—is essential for improving seismic hazard assessments and understanding earthquake physics. In this study, moment magnitudes (MW) are calculated for 31,581 earthquakes associated with wastewater injection in the Raton Basin (located along the border between northern New Mexico and southern Colorado) between 2016 and 2024 using radiative transfer theory to fit coda decay envelopes. Our results show that it is feasible to estimate moment magnitudes down to MW ~1 with coda envelopes from a small local monitoring network. Significant differences were found between MW and local magnitudes (ML) for small earthquakes (M < 3.0). A linear relationship was optimized to convert ML to MW: MW = 0.7ML + 0.96 and MW = 0.73 ML + 0.99 (for the events reported by the U.S. Geological Survey), which can be applied in future studies of Raton Basin seismicity. We find that b-values calculated employing different methods and using ML are approximately 1.0, while those using MWrange from 1.2 to 1.4. A larger estimate of the b-value could influence interpretations of the statistical behavior of earthquakes associated with injection and consequently seismic hazard assessments based on a magnitude–frequency distribution. The potential differences between local versus moment magnitude-based earthquake statistics should be considered in other seismically active regions.
","language":"English","publisher":"OJS/PKP","doi":"10.26443/seismica.v5i1.1959","usgsCitation":"Peña Castro, A.F., Schmandt, B., Glasgow, M.E., Jamalreyhani, M., Wang, R., and Cochran, E.S., 2026, Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin: Seismica, v. 5, no. 1, https://doi.org/10.26443/seismica.v5i1.1959.","ipdsId":"IP-184368","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v5i1.1959","text":"Publisher Index Page"},{"id":501971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Raton Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.24926766137641,\n 37.611350405105966\n ],\n [\n -105.24926766137641,\n 36.42804218168048\n ],\n [\n -103.59544227593408,\n 36.42804218168048\n ],\n [\n -103.59544227593408,\n 37.611350405105966\n ],\n [\n -105.24926766137641,\n 37.611350405105966\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Peña Castro, Andres Felipe","contributorId":369025,"corporation":false,"usgs":false,"family":"Peña Castro","given":"Andres","middleInitial":"Felipe","affiliations":[{"id":87700,"text":"University of New Mexico Dept of Earth and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":958303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":958304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jamalreyhani, Mohammadreza","contributorId":236673,"corporation":false,"usgs":false,"family":"Jamalreyhani","given":"Mohammadreza","affiliations":[{"id":47513,"text":"1: Institute of Geophysics, University of Tehran, Iran. 2: GFZ German research centre for geosciences, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":958306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ruijia","contributorId":357742,"corporation":false,"usgs":false,"family":"Wang","given":"Ruijia","affiliations":[{"id":85546,"text":"Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China","active":true,"usgs":false}],"preferred":false,"id":958307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274567,"text":"70274567 - 2026 - Reproduction partially compensates for human-caused mortality in a cooperative breeder","interactions":[],"lastModifiedDate":"2026-04-01T17:20:24.198263","indexId":"70274567","displayToPublicDate":"2026-02-24T10:14:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction partially compensates for human-caused mortality in a cooperative breeder","docAbstract":"Reproductive output can vary widely among mammalian species. There are many drivers that affect reproductive output including evolutionary, environmental, population, social, and individual traits. Although several factors, including human-caused mortality, can affect reproductive output, we generally have a poor understanding of how such factors interact to affect reproduction, particularly in cooperative breeders. Gray wolves (Canis lupus) in Idaho, USA, are exposed to annual hunting and trapping. Thus, they are an ideal species to answer questions about how turnover within groups affects reproduction in cooperative breeders. I hypothesized that the reproductive output of wolves would be affected by individual, social, and environmental factors. Contrary to my prediction, mid-summer litter size was positively associated with wolf harvest density, suggesting a compensatory response to harvest in cooperatively breeding gray wolves. Such compensation is only partial, however, and does not fully account for all the individuals lost from harvest. At the very highest harvest densities observed, mean litter size increased nearly 28%. In contrast, mid-summer litter size was negatively associated with multiple breeding in groups, suggesting resource limitation and competition within groups. I show that characteristics associated with harvest and breeding strategies predict variations in litter size in a cooperative breeder.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70555","usgsCitation":"Ausband, D.E., 2026, Reproduction partially compensates for human-caused mortality in a cooperative breeder: Ecosphere, v. 17, no. 2, e70555, 9 p., https://doi.org/10.1002/ecs2.70555.","productDescription":"e70555, 9 p.","ipdsId":"IP-170591","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70555","text":"Publisher Index Page"},{"id":501955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.08175980071034,\n 48.977227421240826\n ],\n [\n -117.12527879331986,\n 46.369424070044275\n ],\n [\n -116.51198640229667,\n 45.65976473215335\n ],\n [\n -117.25772134712818,\n 44.642676640703385\n ],\n [\n -117.08175980071034,\n 41.99782369604466\n ],\n [\n -111.02219152374933,\n 41.99782369604466\n ],\n [\n -111.03949189951564,\n 44.40883940189387\n ],\n [\n -112.71087839514591,\n 44.58985281347028\n ],\n [\n -113.75190192928613,\n 45.405327827770506\n ],\n [\n -114.55579750442473,\n 45.72018042001826\n ],\n [\n -114.3304705700495,\n 46.70099041509735\n ],\n [\n -114.95191346452555,\n 47.01751252427742\n ],\n [\n -115.46534803122942,\n 47.64914592710252\n ],\n [\n -115.82328991591629,\n 47.85069098091418\n ],\n [\n -115.87939209365824,\n 49.055195178320474\n ],\n [\n -117.08175980071034,\n 48.977227421240826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958324,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}