{"pageNumber":"3","pageRowStart":"50","pageSize":"25","recordCount":165355,"records":[{"id":70274330,"text":"70274330 - 2026 - Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.","interactions":[],"lastModifiedDate":"2026-03-26T20:01:40.59527","indexId":"70274330","displayToPublicDate":"2026-03-25T12:54:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23624,"text":"Forest Policy and Economics","active":true,"publicationSubtype":{"id":10}},"title":"Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.","docAbstract":"

Forest restoration in a watershed can provide numerous ecological improvements and social benefits, including reducing the risk of extreme wildfire. Understanding the values of the accrued benefits can be used to evaluate the use of funds to support restoration. The Rio Grande watershed is a vast watershed covering approximately 335,000 mile2 (867,646 km2). The Rio Grande watershed provides a host of ecosystem services and recreation opportunities and supports municipal water supplies. We estimate the non-market values of forest restoration in the Rio Grande watershed using a choice experiment (CE) approach. While the ecological benefits are established in literature, we focus on the social characteristics, capturing the human-forest system in a comprehensive manner. Our results indicate a significant willingness to pay (WTP) for improving air quality, reducing private property damage, and creating local jobs, with the highest WTP for job creation. Split-sample analysis indicates respondents residing within the watershed highly value the socio-economic attributes of the restoration, while ecological attributes are preferred more outside of the watershed. Our results provide insights into the benefits of multi-dimensional services from forest restoration activities in a watershed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.forpol.2026.103754","usgsCitation":"Rahman, M.M., Meldrum, J.R., Mueller, J.M., and Huber, C., 2026, Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.: Forest Policy and Economics, v. 186, 103754, 12 p., https://doi.org/10.1016/j.forpol.2026.103754.","productDescription":"103754, 12 p.","ipdsId":"IP-182648","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forpol.2026.103754","text":"Publisher Index Page"},{"id":501641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.71673581103325,\n 35.09459922050081\n ],\n [\n -107.71673581103325,\n 32.69478018477595\n ],\n [\n -105.59302300959213,\n 32.69478018477595\n ],\n [\n -105.59302300959213,\n 35.09459922050081\n ],\n [\n -107.71673581103325,\n 35.09459922050081\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"186","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rahman, Mohammad Mashiur","contributorId":367933,"corporation":false,"usgs":false,"family":"Rahman","given":"Mohammad","middleInitial":"Mashiur","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":957912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Julie M.","contributorId":367934,"corporation":false,"usgs":false,"family":"Mueller","given":"Julie","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":957914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huber, Christopher","contributorId":363148,"corporation":false,"usgs":false,"family":"Huber","given":"Christopher","affiliations":[{"id":86628,"text":"NPS, formerly USGS","active":true,"usgs":false}],"preferred":false,"id":957915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274667,"text":"70274667 - 2026 - Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume","interactions":[],"lastModifiedDate":"2026-04-03T15:20:30.598951","indexId":"70274667","displayToPublicDate":"2026-03-25T10:16:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume","docAbstract":"

Recent evidence of invasive grass carp (Ctenopharyngodon idella) reproducing in tributaries to the Laurentian Great Lakes has highlighted the need for control efforts targeting multiple life stages. Initial attempts to control dispersal of downstream-drifting invasive carp ichthyoplankton (i.e., eggs and larvae) using an oblique bubble screen (OBS) revealed that nearly neutrally buoyant grass carp eggs and larvae enter helical-like motions driven by the OBS, preventing aggregation within a single capture location. To improve dispersal control methods for such early-life stage carp, we used a laboratory flume to investigate the efficacy of a streamwise-oriented bubble screen to facilitate their near-bank capture. Five early-life stages of grass carp were tested: live water-hardened eggs, pre- and post-gas bladder inflation larvae, dead larvae, and dead eggs (preserved in formalin solution and later rehydrated). A range of mean channel velocities (0.23, 0.45, and 0.75 m/s) was tested for all drifters. Capture percentages increased with increasing airflow. Preserved eggs, for instance, showed capture percentages up to 95 %, 87 %, and 69 % at low, medium, and high water velocities for the highest airflow rate, respectively, in contrast with the lower than 5 % capture measured for zero airflow cases. Symmetric secondary flow structures on either side of the bubble screen induced helical trajectories of drifters and facilitated their capture in net-arrays along each wall. Velocity data were used to estimate helical recirculation timescales, enabling calculation of optimal bubble diffuser and net-array lengths for desired capture rates. This study provides useful guidance for the design of effective systems to control dispersal of downstream-drifting ichthyoplankton of invasive carp in streams.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102784","usgsCitation":"Prasad, V., Doyle, H.F., Suski, C., Jackson, P.R., George, A.E., Fischer, J.R., Stahlschmidt, B.H., Herndon, A.M., and Tinoco, R.O., 2026, Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102784.","ipdsId":"IP-176409","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2026.102784","text":"Publisher Index Page"},{"id":502164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Prasad, Vindhyawasini 0000-0003-0585-7217","orcid":"https://orcid.org/0000-0003-0585-7217","contributorId":296287,"corporation":false,"usgs":false,"family":"Prasad","given":"Vindhyawasini","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Henry F. 0000-0001-9942-8602","orcid":"https://orcid.org/0000-0001-9942-8602","contributorId":369222,"corporation":false,"usgs":false,"family":"Doyle","given":"Henry","middleInitial":"F.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suski, Cory 0000-0001-8280-873X","orcid":"https://orcid.org/0000-0001-8280-873X","contributorId":364207,"corporation":false,"usgs":false,"family":"Suski","given":"Cory","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischer, Jesse Robert 0000-0002-9071-7931","orcid":"https://orcid.org/0000-0002-9071-7931","contributorId":329677,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse","email":"","middleInitial":"Robert","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herndon, Anne Marie 0000-0002-7057-0303","orcid":"https://orcid.org/0000-0002-7057-0303","contributorId":332776,"corporation":false,"usgs":true,"family":"Herndon","given":"Anne","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tinoco, Rafael O.","contributorId":211779,"corporation":false,"usgs":false,"family":"Tinoco","given":"Rafael","email":"","middleInitial":"O.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":958638,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274334,"text":"70274334 - 2026 - Rare earth element potential in coal and coal ash in the U.S. Gulf Coast","interactions":[],"lastModifiedDate":"2026-03-26T16:48:22.376032","indexId":"70274334","displayToPublicDate":"2026-03-25T09:41:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23625,"text":"International Journal of Coal Science & Technology","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element potential in coal and coal ash in the U.S. Gulf Coast","docAbstract":"

United States heavy reliance on imports of critical minerals (CMs), including rare earth elements (REEs), underscores the importance of development of domestic sources. The study objective was to quantify CM and REE concentrations in coal and coal ash in the US Gulf Coast region. CM and REE concentrations were measured for 118 samples from outcrops and 14 mines in the Gulf Coast. Results show that total REE + Yttrium (REY) concentrations (dry coal basis) are comparable to those of the upper continental crust (UCC) with localized hot spots, such as the Texas Gibbons Creek mine (REY ≤ ~ 2860 ppm). When normalized to UCC REY concentration (169 ppm, dry coal basis), REY to UCC ratios for Gulf Coast coal samples range from 0.1 to 17 (median ratio 0.6). REE extractability from lignites is high (median: 63%–93%) using environmentally benign weak acid. In addition to raw coal, coal ash from power plants could also serve as an REE source with a median ratio of REY in ash relative to coal of 4; however, extractability from coal ash is generally much lower (≤ 5% using the same weak acid as in coal). The median basket price for extracted REY as oxides from coal, assuming 70% extractability, is $3.2 per tonne of coal and $186 billion based on 58 billion metric tonnes of dry coal in the Gulf Coast. REEs important for magnets (Pr + Nd + Tb + Dy) account for ~ 80% of the total value. The corresponding median basket price for extracted REY as oxides from coal ash, assuming ~ 30% extractability, is ~$4.4 per tonne of ash and $1.2 billion based on 258 million tonnes of ash. REE production from coal would likely require co-products, such as activated carbon or humic acids, to attain economic viability. Production of REEs from coal ash could offset remediation costs related to potential water contamination. This reconnaissance study shows the potential for REE production from coal and coal ash in the Gulf Coast; however, carbon coproducts and/or societal benefits would likely be required for socioeconomic viability.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s40789-026-00872-y","usgsCitation":"Scanlon, B.R., Reedy, R.C., Elliott, B.A., Hower, J.C., Kyle, J.R., Locmelis, M., Theaker, N., and Warwick, P., 2026, Rare earth element potential in coal and coal ash in the U.S. Gulf Coast: International Journal of Coal Science & Technology, v. 13, 28, 13 p., https://doi.org/10.1007/s40789-026-00872-y.","productDescription":"28, 13 p.","ipdsId":"IP-174374","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":501611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40789-026-00872-y","text":"Publisher Index Page"},{"id":501587,"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","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.95736263948356,\n 36.722990342806\n ],\n [\n -102.95736263948356,\n 27.809267728853044\n ],\n [\n -82.6890953748541,\n 27.809267728853044\n ],\n [\n -82.6890953748541,\n 36.722990342806\n ],\n [\n -102.95736263948356,\n 36.722990342806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Scanlon, Bridget R. 0000-0002-1234-4199","orcid":"https://orcid.org/0000-0002-1234-4199","contributorId":328586,"corporation":false,"usgs":false,"family":"Scanlon","given":"Bridget","email":"","middleInitial":"R.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C. 0009-0007-4810-7578","orcid":"https://orcid.org/0009-0007-4810-7578","contributorId":364779,"corporation":false,"usgs":false,"family":"Reedy","given":"Robert","middleInitial":"C.","affiliations":[{"id":86975,"text":"The Universality of Texas at Austin, Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":957933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Brent A. 0000-0003-4099-1657","orcid":"https://orcid.org/0000-0003-4099-1657","contributorId":367943,"corporation":false,"usgs":false,"family":"Elliott","given":"Brent","middleInitial":"A.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":215373,"corporation":false,"usgs":false,"family":"Hower","given":"James","middleInitial":"C.","affiliations":[{"id":39231,"text":"University of Kentucky Center for Applied Energy Research","active":true,"usgs":false}],"preferred":false,"id":957935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kyle, J. Richard 0000-0002-5319-8941","orcid":"https://orcid.org/0000-0002-5319-8941","contributorId":367946,"corporation":false,"usgs":false,"family":"Kyle","given":"J.","middleInitial":"Richard","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Locmelis, Marek 0000-0002-9328-0552","orcid":"https://orcid.org/0000-0002-9328-0552","contributorId":367947,"corporation":false,"usgs":false,"family":"Locmelis","given":"Marek","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theaker, Nolan 0000-0001-5194-2004","orcid":"https://orcid.org/0000-0001-5194-2004","contributorId":367948,"corporation":false,"usgs":false,"family":"Theaker","given":"Nolan","affiliations":[{"id":87651,"text":"University of North Dakota, Institute of Energy Studies, Grand Forks, ND, USA","active":true,"usgs":false}],"preferred":false,"id":957938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957939,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274756,"text":"70274756 - 2026 - Mangrove ecosystems: Importance, threats and opportunities for restoration","interactions":[],"lastModifiedDate":"2026-04-08T15:26:45.625033","indexId":"70274756","displayToPublicDate":"2026-03-25T08:20:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove ecosystems: Importance, threats and opportunities for restoration","docAbstract":"

Mangroves are crucial for biodiversity conservation, coastal protection, and supporting local livelihoods. Mangroves may also protect coasts from storms and rising sea levels and can play a major role in climate mitigation. Threats to their health include activities such as infrastructural development, urban encroachment, aquaculture and crop farming, and oil and gas exploration. We review the threats and opportunities for the restoration of mangrove ecosystems on the coasts of Africa, which are highly impacted by oil spills. The most important challenge for mangrove restoration identified in this review is the restoration of appropriate hydrologic and salinity regimes prior to natural recruitment or the active planting of propagules.

","language":"English","publisher":"MDPI","doi":"10.3390/w18070787","usgsCitation":"Ohimain, E.I., Turner, R.E., and Middleton, B.A., 2026, Mangrove ecosystems: Importance, threats and opportunities for restoration: Water, v. 18, no. 7, 787, 13 p., https://doi.org/10.3390/w18070787.","productDescription":"787, 13 p.","ipdsId":"IP-186012","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":502484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18070787","text":"Publisher Index Page"},{"id":502276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationDate":"2026-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ohimain, Elijah I. 0000-0002-5491-6271","orcid":"https://orcid.org/0000-0002-5491-6271","contributorId":369427,"corporation":false,"usgs":false,"family":"Ohimain","given":"Elijah","middleInitial":"I.","affiliations":[{"id":87767,"text":"Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria","active":true,"usgs":false}],"preferred":false,"id":958941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Robert Eugene 0000-0002-1368-4160","orcid":"https://orcid.org/0000-0002-1368-4160","contributorId":369428,"corporation":false,"usgs":false,"family":"Turner","given":"Robert","middleInitial":"Eugene","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":958942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Beth A. 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":216869,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":958943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274695,"text":"70274695 - 2026 - Advances and applications of Unoccupied Aerial Systems (UAS) research in landscape ecology","interactions":[],"lastModifiedDate":"2026-04-06T14:55:21.789264","indexId":"70274695","displayToPublicDate":"2026-03-25T07:49:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Advances and applications of Unoccupied Aerial Systems (UAS) research in landscape ecology","docAbstract":"

Landscape ecologists have long depended on satellite and aerial remote sensing to address questions about landscape pattern and process, structure, and change (Foody 2023). Unoccupied aerial systems/vehicles (UAS/UAV, a.k.a. drones) technology is becoming an increasingly popular research tool in environmental sciences allowing scientists to generate low-cost, high-quality, and high-resolution imagery on demand that can be tailored to specific research questions. While satellite data are of a fixed resolution and temporal interval, UAS offer researchers control and flexibility to design studies and collect data at resolutions and scales that provide ecologically relevant information at finer spatial resolutions (e.g., < 30 cm) than what is currently available from satellite platforms (typically > 3m), thus helping capture objects such as individual plant canopies, micro-topography, and individual animals. Unlike satellites with fixed orbits, UAS can be deployed at more optimal temporal frequencies for ecological monitoring.

We organized the special collection “Advances and Applications of Unoccupied Aerial Systems (UAS) Research in Landscape Ecology” to showcase the many ways that UAS tools and technologies are currently applied to advance landscape ecological research. When we announced the collection in 2023, only 11 papers published in the journal Landscape Ecology used UAS data, which was a notably small number compared to many other general ecology, environmental science and remote sensing journals. In an attempt to understand why UAS were not more widely used in landscape ecology and provide possible solutions, we published a review article (Villarreal et al. 2025) that identified the challenges, knowledge gaps, and obstacles for the adoption of UAS technologies in landscape ecology research. The main issues we identified include: (1) an abundance of UAS methods papers in the existing literature, with comparatively few studies demonstrating how UAS can be applied to address ecological questions; (2) a perceived scale mismatch between the geographic extent of UAS data collection (local) compared to larger study areas (landscapes) and a need to design robust scaling approaches to connect fine-scale UAS data with broader ecological patterns; and (3) a need for improved integration of UAS data with other commonly used remote sensing datasets including historical high resolution aerial imagery. Additionally, researchers new to UAS remote sensing may be discouraged or overwhelmed by the general lack of scientific consensus and standardized protocols for typical tasks such as data collection, vegetation classification, and change detection, as well as restrictive and/or confusing policy, regulatory, and legal issues surrounding UAS operations (Villarreal et al. 2025).

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-026-02331-0","usgsCitation":"Villarreal, M.L., Bishop, T.B., Sankey, T.T., and Smith, W.K., 2026, Advances and applications of Unoccupied Aerial Systems (UAS) research in landscape ecology: Landscape Ecology, v. 41, 65, 8 p., https://doi.org/10.1007/s10980-026-02331-0.","productDescription":"65, 8 p.","ipdsId":"IP-185152","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":502473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-026-02331-0","text":"Publisher Index Page"},{"id":502205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":214980,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":958718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bishop, Tara B.","contributorId":369273,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara","middleInitial":"B.","affiliations":[{"id":40367,"text":"Utah Valley University","active":true,"usgs":false}],"preferred":false,"id":958719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Temuulen Ts.","contributorId":369274,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","middleInitial":"Ts.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":958720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, William K.","contributorId":369275,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"K.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":958721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274285,"text":"dr1218 - 2026 - Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 Data Summary","interactions":[],"lastModifiedDate":"2026-03-25T15:16:39.33281","indexId":"dr1218","displayToPublicDate":"2026-03-25T07:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1218","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 Data Summary","docAbstract":"

Executive Summary 

We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) at the Mojave River Dam study area near Hesperia, California, in 2025. Four vireo surveys were completed between April 23 and June 26, 2025, and three flycatcher surveys were completed between May 16 and June 26, 2025.

We detected two territorial male vireos, both of which were paired, and one transient vireo. No juvenile vireos were observed during surveys. Vireos were reported in two habitat types: riparian scrub dominated by narrowleaf willow (Salix exigua) or mule fat (Baccharis salicifolia) and willow-cottonwood dominated by red or arroyo willow (Salix laevigata or lasiolepis). One transient willow flycatcher of unknown subspecies was observed in willow-cottonwood habitat dominated by Fremont cottonwood (Populus fremontii).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1218","programNote":"Ecosystems Mission Area–Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 data summary: U.S. Geological Survey Data Report 1218, 8 p., https://doi.org/10.3133/dr1218.","productDescription":"vi, 8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-182721","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501431,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1218/images"},{"id":501430,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1218/dr1218.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1218 XML"},{"id":501429,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1218/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1218 HTML"},{"id":501428,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1218/dr1218.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1218 PDF"},{"id":501427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1218/coverthb.jpg"}],"country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Mojave River Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.22193446568201,\n 34.372629231592285\n ],\n [\n -117.26951127201511,\n 34.372629231592285\n ],\n [\n -117.26951127201511,\n 34.32314904481471\n ],\n [\n -117.22193446568201,\n 34.32314904481471\n ],\n [\n -117.22193446568201,\n 34.372629231592285\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-03-25","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957616,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274328,"text":"70274328 - 2026 - Rapid seismic and infrasound assessment of large landslides: A case study from Denali National Park and Preserve (Alaska)","interactions":[],"lastModifiedDate":"2026-03-26T20:12:07.266266","indexId":"70274328","displayToPublicDate":"2026-03-23T13:03:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Rapid seismic and infrasound assessment of large landslides: A case study from Denali National Park and Preserve (Alaska)","docAbstract":"Large, rapid landslides are a global hazard that can occur in remote, mountainous areas. Eyewitness reports of landslides and satellite imagery can often be limited or delayed, particularly during inclement weather. However, landslide-generated seismic and infrasound (low-frequency atmospheric sound) waves can be remotely detected in near real-time. This information can significantly expedite characterization and possible landslide response activities. Here, we highlight these capabilities using a > 4 million m³ ice–rock avalanche in Denali National Park and Preserve (Alaska). This event was detected via a landslide-specific seismic location and volume estimation algorithm deployed in Alaska, and — notably — by standard earthquake monitoring systems. Following rapid detection of this event, we combined its seismic and infrasound dataset with optical, synthetic aperture radar, and oblique aerial imagery, multitemporal digital elevation models, and a numerical flow model to reconstruct its failure timeline and dynamics. We apply array processing to infrasound signals traveling > 250 km and find that two precursory events occurred minutes prior to the main failure. We use long-period seismic signals to infer the force exerted by the landslide on the Earth and constrain the rheological parameters of our numerical flow simulation with this result and deposit morphology. The main failure produced a steeply-dipping impulsive initial downward force and reached speeds exceeding 60 m/s. This impulsive force generated relatively strong seismic body waves, which contributed to the earthquake system detection. This large, remote Alaska landslide underscores the key value of seismic and infrasound analysis for rapid landslide assessment and motivates efforts to further operationalize these approaches.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008577","usgsCitation":"Toney, L., West, M., Karasözen, E., Capps, D.M., Collins, E.A., Allstadt, K.E., Pursley, J., McFarlin, H., Mangeney, A., Fee, D., Staley, D.M., Haney, M.M., Lyons, J.J., and Bellini, J., 2026, Rapid seismic and infrasound assessment of large landslides: A case study from Denali National Park and Preserve (Alaska): Journal of Geophysical Research: Earth Surface, v. 131, no. 3, e2025JF008577, 21 p., https://doi.org/10.1029/2025JF008577.","productDescription":"e2025JF008577, 21 p.","ipdsId":"IP-179322","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":502039,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jf008577","text":"Publisher Index Page"},{"id":501960,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13WIS6X","text":"USGS data release","linkHelpText":"Simulation and modeling output and geospatial data from the 2023 Peters Dome landslide (Alaska)"},{"id":501642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.5240265398315,\n 64.71816776218537\n ],\n [\n -154.5240265398315,\n 60.86885905211162\n ],\n [\n -147.58118033718998,\n 60.86885905211162\n ],\n [\n -147.58118033718998,\n 64.71816776218537\n ],\n [\n -154.5240265398315,\n 64.71816776218537\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Michael E.","contributorId":351516,"corporation":false,"usgs":false,"family":"West","given":"Michael E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":957894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karasözen, Ezgi","contributorId":298619,"corporation":false,"usgs":false,"family":"Karasözen","given":"Ezgi","affiliations":[{"id":64627,"text":"Alaska Earthquake Center, University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":957895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capps, Denny M","contributorId":222771,"corporation":false,"usgs":false,"family":"Capps","given":"Denny","email":"","middleInitial":"M","affiliations":[{"id":40598,"text":"Denali National Park, National Park Service","active":true,"usgs":false}],"preferred":false,"id":957896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Elaine A. 0000-0002-5475-4022","orcid":"https://orcid.org/0000-0002-5475-4022","contributorId":270255,"corporation":false,"usgs":true,"family":"Collins","given":"Elaine","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957898,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pursley, Jana 0000-0002-7472-9668","orcid":"https://orcid.org/0000-0002-7472-9668","contributorId":269689,"corporation":false,"usgs":true,"family":"Pursley","given":"Jana","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957899,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McFarlin, Heather","contributorId":367929,"corporation":false,"usgs":false,"family":"McFarlin","given":"Heather","affiliations":[{"id":87644,"text":"Alaska Earthquake Center, UAF","active":true,"usgs":false}],"preferred":false,"id":957900,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mangeney, Anne 0000-0002-3197-6087","orcid":"https://orcid.org/0000-0002-3197-6087","contributorId":332587,"corporation":false,"usgs":false,"family":"Mangeney","given":"Anne","email":"","affiliations":[{"id":79502,"text":"Université Paris Cité, Institut de Physique du Globe de Paris, CNRS, F-75005 Paris, France and Institut Universitaire de France","active":true,"usgs":false}],"preferred":false,"id":957901,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fee, David","contributorId":345611,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":82656,"text":"Alaska Volcano Observatory/UAFGI","active":true,"usgs":false}],"preferred":false,"id":957902,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957903,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957904,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957905,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bellini, John 0000-0002-9635-8730","orcid":"https://orcid.org/0000-0002-9635-8730","contributorId":269687,"corporation":false,"usgs":true,"family":"Bellini","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957906,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70274296,"text":"70274296 - 2026 - Decadal shifts in groundwater age detected by environmental tracers across California, USA","interactions":[],"lastModifiedDate":"2026-03-24T15:57:13.026731","indexId":"70274296","displayToPublicDate":"2026-03-23T08:53:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Decadal shifts in groundwater age detected by environmental tracers across California, USA","docAbstract":"

Groundwater age offers important insight into recharge, storage, and contamination risk. Although models predict age changes can be driven by pumping and climate variability, direct observational evidence remains limited. Here, we analyzed paired environmental tracer suites (tritium, carbon-14, and tritiogenic helium-3) collected a decade apart from 268 wells across California to assess the prevalence of groundwater age transience. Travel-time distribution models and statistical tests indicated age transience at 29% of sites, occurring most often in agricultural regions, such as the San Joaquin Valley and Southern Coast Ranges, where large carbon-14 changes coincided with substantial nitrate and chloride shifts. Sites with tritiogenic helium-3 data showed more frequent age transience, underscoring the value of multi-tracer data sets. These results provide the first regional evidence of widespread groundwater age change and a method for detecting changing water balances with implications for groundwater sustainability and water quality.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL119794","usgsCitation":"Jurgens, B.C., and Levy, Z.F., 2026, Decadal shifts in groundwater age detected by environmental tracers across California, USA: Geophysical Research Letters, v. 53, no. 6, e2025GL119794, 12 p., https://doi.org/10.1029/2025GL119794.","productDescription":"e2025GL119794, 12 p.","ipdsId":"IP-151777","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl119794","text":"Publisher Index Page"},{"id":501458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence-based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership of scientists and practitioners called the Shorebird Science and Conservation Collective (hereafter the collective). The collective was founded to translate the combined findings of shorebird tracking data into on-the-ground conservation action. With advice from an advisory group, the collective acts as an intermediary whereby dedicated staff collate and analyze data contributions from scientists to support knowledge requests from conservation practitioners. In its first three years, data contributions from 75 organizations include over 7.1 million shorebird observations forming movement paths of 3420 individuals representing 36 species tracked across the Americas and have informed 18 conservation projects spanning education, land and species management, land conservation, and policy requests. Others engaged in translational science from big data could consider similar knowledge-sharing models that prioritize usable data products, foster collaborative engagement between science experts and practitioners, build focused communities around topics or taxonomic groups, and employ a proof-of-concept phase to develop scalable solutions while making progress toward long-term funding to sustain impact. As the volume of scientific data continues to grow, intermediaries, such as the collective, can be vital liaisons to rapidly integrate and interpret research to support conservation action. Dedicated to the memory of Shiloh Schulte and his conservation achievements for shorebirds.

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Risk is thought to vary by contaminating fecal source, but specific associations with fecal source are unknown for most private wells in the United States. This study characterizes AGI risk in Grant, Iowa, and Lafayette counties in southwestern Wisconsin. AGI risk was assessed for 10 viral, bacterial, and protozoan pathogens detected in private wells using quantitative microbial risk assessment. Exposure assessment was based on sampling 138 private wells in the study area, and risk was associated with fecal source by microbial source tracking (MST). Median Monte Carlo estimates indicated 4450 AGI cases/year in the study area associated with drinking water from contaminated private wells (95% confidence interval: 90–37,990). Most annual cases were associated with detection of human MST markers, including median estimates of 2550 associated with only human markers and 880 with human and livestock MST markers detected together. Note that 50 AGI cases/year were associated with detection of only livestock markers, and nearly 1000 cases were estimated to occur in the absence of detectable MST markers. This study characterizes AGI risk for households served by private wells in southwestern Wisconsin. It illustrates that human fecal sources can predominate risk associated with drinking water from private wells, even in a rural region characterized by substantial agricultural activity. MST can characterize the relationship between risk and fecal source; contributions of fecal sources to risk cannot be assumed from land use.","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.70162","usgsCitation":"Burch, T., Stokdyk, J.P., Heffron, J., Opelt, S.A., and Firnstahl, A.D., 2026, Quantitative microbial risk assessment with microbial source tracking for enteric pathogens in southwest Wisconsin private wells: Journal of Environmental Quality, v. 55, no. 2, e70162, 14 p., https://doi.org/10.1002/jeq2.70162.","productDescription":"e70162, 14 p.","ipdsId":"IP-183588","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70162","text":"Publisher Index Page"},{"id":501473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"southwestern Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.20734382695724,\n 43.496849558166275\n ],\n [\n -91.20734382695724,\n 42.51846762737475\n ],\n [\n -89.84773226925358,\n 42.51846762737475\n ],\n [\n -89.84773226925358,\n 43.496849558166275\n ],\n [\n -91.20734382695724,\n 43.496849558166275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":957298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heffron, Joe","contributorId":339799,"corporation":false,"usgs":false,"family":"Heffron","given":"Joe","email":"","affiliations":[],"preferred":false,"id":957300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Opelt, Sarah A.","contributorId":300168,"corporation":false,"usgs":false,"family":"Opelt","given":"Sarah","middleInitial":"A.","affiliations":[],"preferred":false,"id":957301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957302,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274294,"text":"70274294 - 2026 - Net CO2 emissions from dry inland waters persist in the presence of vegetation","interactions":[],"lastModifiedDate":"2026-03-24T15:12:00.537","indexId":"70274294","displayToPublicDate":"2026-03-21T10:00:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Net CO2 emissions from dry inland waters persist in the presence of vegetation","title":"Net CO2 emissions from dry inland waters persist in the presence of vegetation","docAbstract":"

Many inland waters are shrinking due to shifts in climate and water diversion for human uses. As they dry out, their exposed sediments emit large amounts of carbon dioxide (CO2) to the atmosphere. However, current global estimates of CO2 emissions from dry inland waters are derived exclusively from bare sediment dark-chamber measurements that do not account for the colonization of desiccated areas by vegetation. To understand the impact of vegetation on CO2 emissions from dry sediments, we analyzed 164 dry inland water bodies across five climatic regions and five inland water body types (lakes, ponds, reservoirs, streams and wetlands). On average, within vegetated zones, vegetation occupied 47 ± 35% in measured biomass quadrants. Light-induced decreases in instantaneous CO2 emissions in vegetated dry sediments were lower (mean ± SD = −3.7 ± 12.9 mmol CO2 m−2 hr−1) than increases during dark conditions (14.7 ± 20.1 mmol CO2 m−2 hr−1). Diel (24-hr) CO2 emissions from dry, vegetated sediments (mean ± SD = 100 ± 261 mmol CO2 m−2 d−1) were 25% lower than in bare sediments (133 ± 245 mmol CO2 m−2 d−1). These results indicate that vegetation can partially off-set sediment respiration, although the magnitude of this effect is insufficient to switch dry beds from net sources to net sinks of carbon.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GB008801","usgsCitation":"Sharma, K., Brothers, S., Bernal, S., Catalán, N., Keller, P., Koschorreck, M., Kosten, S., Leigh, C., von Schiller, D., Pastor, A., Larrañaga, A., Ari, A., Camacho-Santamans, A., Grinham, A., Lupon, A., Linkhorst, A., Elosegi, A., Obrador, B., Eyre, B.D., Trochine, C., Muniz, C.C., Feijoo, C., Duvert, C., Moreno-Ostos, E., Garcia, E.J., Oliveria, E.S., Cuassolo, F., Fernandez, H.R., Yeo, J., Oakes, J., Paranaíba, J.R., Pegg, J., Anselmo, J., Montes-Perez, J.J., van den Heuvel, L., Ran, L., Wilkinson, L.L., Gomez-Gener, L., Arroita, M., Shanafield, M., Gultemirian, M.L., Arce, M.I., Cobo, M., Sanchez-Montoya, M.M., Barros, N., Wells, N., Karakaya, N., Erturk Ari, P., Struik, Q., Aben, R., Rimas, R., Kumar, S., Bansal, S., Sarkar, S., Rodriguez-Gomez, S., Huang, T., Silverthorn, T., Datry, T., Diaz Villanueva, V., and Marce, R., 2026, Net CO2 emissions from dry inland waters persist in the presence of vegetation: Global Biogeochemical Cycles, v. 40, no. 3, e2025GB008801, 17 p., https://doi.org/10.1029/2025GB008801.","productDescription":"e2025GB008801, 17 p.","ipdsId":"IP-180179","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":501672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gb008801","text":"Publisher Index Page"},{"id":501450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharma, K.","contributorId":367754,"corporation":false,"usgs":false,"family":"Sharma","given":"K.","affiliations":[],"preferred":false,"id":957646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, 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M.","contributorId":367794,"corporation":false,"usgs":false,"family":"Sanchez-Montoya","given":"M.","middleInitial":"M.","affiliations":[],"preferred":false,"id":957689,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Barros, N.","contributorId":367795,"corporation":false,"usgs":false,"family":"Barros","given":"N.","affiliations":[],"preferred":false,"id":957690,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Wells, N.","contributorId":367796,"corporation":false,"usgs":false,"family":"Wells","given":"N.","affiliations":[],"preferred":false,"id":957691,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Karakaya, N.","contributorId":367797,"corporation":false,"usgs":false,"family":"Karakaya","given":"N.","affiliations":[],"preferred":false,"id":957692,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Erturk Ari, P.","contributorId":367798,"corporation":false,"usgs":false,"family":"Erturk Ari","given":"P.","affiliations":[],"preferred":false,"id":957693,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Struik, Q.","contributorId":367799,"corporation":false,"usgs":false,"family":"Struik","given":"Q.","affiliations":[],"preferred":false,"id":957694,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Aben, R.","contributorId":367800,"corporation":false,"usgs":false,"family":"Aben","given":"R.","affiliations":[],"preferred":false,"id":957695,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Rimas, R.","contributorId":367801,"corporation":false,"usgs":false,"family":"Rimas","given":"R.","affiliations":[],"preferred":false,"id":957696,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Kumar, S.","contributorId":178629,"corporation":false,"usgs":false,"family":"Kumar","given":"S.","email":"","affiliations":[],"preferred":false,"id":957697,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957698,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Sarkar, S.","contributorId":367802,"corporation":false,"usgs":false,"family":"Sarkar","given":"S.","affiliations":[],"preferred":false,"id":957699,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Rodriguez-Gomez, S.","contributorId":367803,"corporation":false,"usgs":false,"family":"Rodriguez-Gomez","given":"S.","affiliations":[],"preferred":false,"id":957700,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Huang, T.","contributorId":367804,"corporation":false,"usgs":false,"family":"Huang","given":"T.","affiliations":[],"preferred":false,"id":957701,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Silverthorn, T.","contributorId":367805,"corporation":false,"usgs":false,"family":"Silverthorn","given":"T.","affiliations":[],"preferred":false,"id":957702,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Datry, T.","contributorId":367806,"corporation":false,"usgs":false,"family":"Datry","given":"T.","affiliations":[],"preferred":false,"id":957703,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Diaz Villanueva, V.","contributorId":367807,"corporation":false,"usgs":false,"family":"Diaz Villanueva","given":"V.","affiliations":[],"preferred":false,"id":957704,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Marce, R.","contributorId":367756,"corporation":false,"usgs":false,"family":"Marce","given":"R.","affiliations":[],"preferred":false,"id":957649,"contributorType":{"id":1,"text":"Authors"},"rank":60}]}} ,{"id":70274287,"text":"70274287 - 2026 - Insights into Mountain Pass carbonatite formation from in-situ sulfur isotopes and geochemistry of sulfate and sulfide minerals","interactions":[],"lastModifiedDate":"2026-03-24T15:52:20.433845","indexId":"70274287","displayToPublicDate":"2026-03-21T08:44:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Insights into Mountain Pass carbonatite formation from in-situ sulfur isotopes and geochemistry of sulfate and sulfide minerals","docAbstract":"

The Mountain Pass carbonatite stock hosts a world-class rare earth element deposit and may be classified as a carbonate-sulfate igneous rock, as it contains on average > 50 volume percent carbonate minerals and 20 to 30 volume percent sulfate minerals. The sulfates range in composition from barite to celestine and locally occur with sparse sulfide minerals. We investigate the origin of sulfur enrichment and the occurrence of sulfur-bearing minerals in the Mountain Pass carbonatite with in-situ sulfur isotope and mineral chemistry. Barite cores with δ34S of 1 to 3‰ do not coexist with sulfides, whereas celestine rims with δ34S of > 3‰ are associated with sulfides with δ34S < -10‰. We propose a model in which sulfur-bearing sediments were subducted during episodes of plate convergence in the Mojave Province that preceded Mountain Pass magmatism. Metasomatism of the overlying mantle by melts derived from the subducted sediments generated an unusually carbon- and sulfur-rich source to yield carbonatite magmas. Sulfur from primary carbonatite magmas and ~ 1 to 7% sulfur from subducted sediment melts yielded a slightly enriched δ34S composition (relative to depleted mantle δ34S of -1‰) for early crystallizing barite. Celestine rims on magmatic barite cores formed at low, hydrothermal temperatures (< 350 °C) based on S isotope thermometry for equilibrium celestine-galena and celestine-pyrite pairs. The sparse sulfides in the carbonatite stock are not in equilibrium with the primary barite cores and therefore do not permit S isotope thermometry estimates of magmatic temperatures. The S/Se ratios of sulfide minerals (> 3,400) typically exceed primitive mantle values (S/Se of 3,340), also consistent with their derivation from hydrothermal fluids. Trace occurrences of sulfide and sulfate minerals in alkaline silicate stocks related to the carbonatite stock have similar δ34S compositions and yield similarly low formation temperatures, suggesting regionally extensive and chemically similar sulfur-bearing hydrothermal fluids that imparted lithologically diverse rocks with a consistent sulfur isotope fingerprint.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-026-01438-3","usgsCitation":"Benson, E.K., Watts, K., Pribil, M.J., Thompson, J.M., and Lowers, H.A., 2026, Insights into Mountain Pass carbonatite formation from in-situ sulfur isotopes and geochemistry of sulfate and sulfide minerals: Mineralium Deposita, 25 p., https://doi.org/10.1007/s00126-026-01438-3.","productDescription":"25 p.","ipdsId":"IP-179323","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-026-01438-3","text":"Publisher Index Page"},{"id":501457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mountain Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.24550849872043,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 35.963211671328224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957628,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274251,"text":"sir20265126 - 2026 - Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","interactions":[],"lastModifiedDate":"2026-03-23T18:16:34.529968","indexId":"sir20265126","displayToPublicDate":"2026-03-20T12:25:00","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":"2026-5126","displayTitle":"Estimation of Impounded Sediment Volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","title":"Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","docAbstract":"

The Enloe Dam was built in 1920 for hydropower generation and impounds a steep-banked, narrow reach of the Similkameen River in north-central Washington. During the subsequent century, sediment from the Similkameen River watershed, which includes historical mining operations, accumulated within Enloe Dam’s impoundment. Enloe Dam ceased hydropower production in 1958 and is currently under consideration for removal, but there are concerns that the remobilization of sediments may have harmful impacts on downstream water quality. To complement previously published analyses of heavy metal concentrations within sediments and assess the total volume that may be transported following dam removal, this report presents estimates of the volume of sediment trapped behind Enloe Dam which was measured in 2020. The volume of sediment was estimated by comparing a bathymetric survey, collected using an acoustic Doppler continuous profiler, and a survey of the bedrock-sediment interface, collected using a continuous resistivity profiler.

The study area spanned a 2.6-kilometer reach of the Similkameen River upstream from Enloe Dam. The volume of impounded sediment was calculated in 2020 by subtracting the elevation of the bedrock-sediment interface measured using the continuous resistivity profiler from a bathymetric surface measured by the acoustic Doppler current profiler. In 2020, the estimated volume of sediment impounded by Enloe Dam was 2.17±0.04 million cubic meters (Mm3) compared to 1.37 Mm3 measured in 1971. This equates to a deposition rate of approximately 16,300 cubic meters per year from 1971 to 2020. Continuous resistivity profiles revealed that bedrock within Enloe Dam’s impoundment was deepest (about 20 m) in the southern, downstream end of the profiles and shallowest (less than 5 m) in the northern upstream end of the profiles.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265126","collaboration":"Prepared in cooperation with the Confederated Tribes of the Colville Reservation","usgsCitation":"Headman, A.O., Wilkerson, O.A., Curran, C.A., and Gendaszek, A.S., 2026, Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington: U.S. Geological Survey Scientific Investigations Report 2026–5126, 24 p., https://doi.org/10.3133/sir20265126.","productDescription":"Report: v, 24 p.; 2 Data Releases","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-144072","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":501399,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119320.htm","linkFileType":{"id":5,"text":"html"}},{"id":501344,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NUBE8","text":"USGS data release","linkHelpText":"Continuous resistivity profiling (CRP) in the Similkameen River above Enloe Dam, Okanogan County, Washington"},{"id":501338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5126/coverthb.jpg"},{"id":501339,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5126/sir20265126.pdf","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5126 PDF"},{"id":501343,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VI2ZIX","text":"USGS data release","linkHelpText":"Sediment volume and bedrock of the Similkameen River above Enloe Dam near Oroville, Washington"},{"id":501340,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265126/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5126 HTML"},{"id":501341,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5126/sir20265126.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5126 XML"},{"id":501342,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5126/images/"}],"country":"United States","state":"Washington","county":"Okanogan County","otherGeospatial":"lower Similkameen River upstream from Enloe Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.52897239705791,\n 48.98921327416954\n ],\n [\n -119.52897239705791,\n 48.95605821757019\n ],\n [\n -119.49191341839283,\n 48.95605821757019\n ],\n [\n -119.49191341839283,\n 48.98921327416954\n ],\n [\n -119.52897239705791,\n 48.98921327416954\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2026-03-20","noUsgsAuthors":false,"publicationDate":"2026-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Headman, Alexander O. 0000-0003-0034-3970 aheadman@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3970","contributorId":196986,"corporation":false,"usgs":true,"family":"Headman","given":"Alexander","email":"aheadman@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":957179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkerson, Oscar A. 0000-0003-1786-5329","orcid":"https://orcid.org/0000-0003-1786-5329","contributorId":344222,"corporation":false,"usgs":true,"family":"Wilkerson","given":"Oscar","middleInitial":"A.","affiliations":[{"id":80400,"text":"Washington Water Science Center","active":true,"usgs":false}],"preferred":true,"id":957180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":343378,"corporation":false,"usgs":false,"family":"Gendaszek","given":"Andrew","middleInitial":"S.","affiliations":[{"id":82076,"text":"King County","active":true,"usgs":false}],"preferred":false,"id":957182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274290,"text":"70274290 - 2026 - Utilization of multiple geochronology techniques to constrain the age of laterization and mineralization of the world-class Mount Weld rare earth element deposit, Western Australia","interactions":[],"lastModifiedDate":"2026-04-06T17:57:10.206226","indexId":"70274290","displayToPublicDate":"2026-03-20T10:12:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Utilization of multiple geochronology techniques to constrain the age of laterization and mineralization of the world-class Mount Weld rare earth element deposit, Western Australia","docAbstract":"

Pervasive chemical weathering on stable cratons may form thick regoliths and elemental enrichment, but constraining the age of regolith formation is challenging. In this study we utilize multiple geochronological techniques on different minerals from the world-class Mount Weld rare earth element (REE) deposit, formed by lateritic weathering of a carbonatite, to constrain the age of formation and provide insight into landscape evolution. The oldest dates, ca. 100 to 38 Ma, are from Lu-Hf dating of churchite [HREE(PO4)·2(H2O)], a heavy REE phosphate mineral. Growth bands on individual minerals show a younging outwards. 40Ar/39Ar geochronology of cryptomelane [K(Mn4+,Mn2+)₈O₁₆] yielded dates from ca. 40 to 27 Ma. Similarly, (U-Th)/He geochronology of goethite [FeO(OH)] yielded dates ranging from ca. 45 to 19 Ma.

Integrating results into regional constraints, suggests 1) churchite formed by mineral saturation in a karst-like setting below the water table from ca. 100 to 40 Ma, 2) with minor uplift and erosion, cryptomelane and goethite formed at or near the water table between ca. 45 and 19 Ma, 3) after ca. 15 to 10 Ma chemical weathering within the profile had ended. Other studies document that the region experienced minimal uplift and a wet, warm climate from ca. 100 Ma to 15 Ma. These conditions and the high carbonate content of the carbonatite promote extensive chemical weathering, a deep weathering profile, and the preservation of the weathered section. This study highlights the use of multiple geochronological techniques utilizing different minerals to provide insight into how laterites form and to constrain the timing and history of the formation of this important mineral deposit.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2026.123326","usgsCitation":"Verplanck, P.L., Mercer, C.M., Thompson, J.M., Danišík, M., Lowers, H.A., Morgan, L.E., and Bhat, G., 2026, Utilization of multiple geochronology techniques to constrain the age of laterization and mineralization of the world-class Mount Weld rare earth element deposit, Western Australia: Chemical Geology, v. 709, 123326, 19 p.; Data Release, https://doi.org/10.1016/j.chemgeo.2026.123326.","productDescription":"123326, 19 p.; Data Release","ipdsId":"IP-178073","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502215,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P138SMEV","linkFileType":{"id":5,"text":"html"}},{"id":501478,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501685,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2026.123326","text":"Publisher Index Page"}],"country":"Australia","otherGeospatial":"Western Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 113.32192697285603,\n -18.55510584054609\n ],\n [\n 113.32192697285603,\n -35.16051771148953\n ],\n [\n 127.2170611077915,\n -35.16051771148953\n ],\n [\n 127.2170611077915,\n -18.55510584054609\n ],\n [\n 113.32192697285603,\n -18.55510584054609\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"709","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":957629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danišík, Martin 0000-0003-3909-6102","orcid":"https://orcid.org/0000-0003-3909-6102","contributorId":361709,"corporation":false,"usgs":false,"family":"Danišík","given":"Martin","affiliations":[{"id":86336,"text":"Curtin University, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":957632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957634,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bhat, Ganesh","contributorId":329666,"corporation":false,"usgs":false,"family":"Bhat","given":"Ganesh","email":"","affiliations":[{"id":78683,"text":"Lynas Rare Earths Ltd","active":true,"usgs":false}],"preferred":false,"id":957635,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275038,"text":"70275038 - 2026 - Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","interactions":[],"lastModifiedDate":"2026-04-13T15:05:16.761878","indexId":"70275038","displayToPublicDate":"2026-03-20T10:01:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23283,"text":"Environmental Research: Water","active":true,"publicationSubtype":{"id":10}},"title":"Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","docAbstract":"

Consistent, large-scale estimates of water availability are needed to identify and avoid potential conflicts among human and ecosystem uses of water. We present an assessment of water limitation, defined as the monthly balance (difference) between water supply (ws) and human consumptive water use (wc), for the conterminous United States (CONUS) during water years 2010–2020. We estimate that 26.7 million Americans, 8% of CONUS population, live in areas with chronic high or severe water limitation. Although ws greatly exceeds wc at the CONUS scale, water is limited locally or regionally due to spatial and temporal patterns in climate and wc. Our water limitation metric, the monthly supply and use index (SUI), peaked in 2012 during a widespread drought when 38% of the CONUS land area experienced elevated water stress. The central and Southwestern U.S. experienced the highest SUI due to the combination of low ws and high wc, especially for irrigation. Spatial overlays of SUI and fish habitat ranges, including those of conservation concern, revealed that several species had notable proportions of their habitat exposed to high or severe water limitation during spawning season over the modeled time period, especially the Arkansas River shiner. ws was calculated from two CONUS, physically-based, hydrologic models while wc was calculated from three CONUS models of water use for crop irrigation, thermoelectric power generation, and public supply. The ws and wc values were routed through a stream network and compared to calculate water limitation and SUI for human populations and fish species at the scale of 12-digit hydrologic unit codes. Evaluation of water availability at higher spatial and temporal resolution promotes more comprehensive analyses of the drivers of water availability and can be combined with complementary studies of water quality and water limiting thresholds to better understand the limitations on water availability.

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The objective of this study is to provide a framework to reconcile streamflow permanence products that provide information on whether a stream is perennial or nonperennial. Accurate classification of streams as perennial or nonperennial is important for a variety of land and water resource management decisions. However, resource managers are challenged with how to reconcile different streamflow permanence information to determine if it is sufficient to avoid field verification, which can be prohibitively costly and time consuming. The study evaluates two datasets for the Pacific Northwest Region, U.S., the National Hydrography Dataset Plus High Resolution (NHDPlus HR) hydrographic classification and the PRObability of Streamflow PERmanence (PROSPER) model output, which differ in structure, output type, and temporal and spatial resolution. The framework includes a two-level evaluation that involves assessing agreement between the two datasets and evaluating the reliability of the two datasets. Summarized at a regional scale, the two datasets agree for 68% of flowlines with higher agreement for nonperennial streams. PROSPER nonperennial stream classifications may be considered generally reliable in arid regions relative to other ecoregions within the Pacific Northwest study area but less reliable for high elevation mountain regions and larger streams and rivers. More than 75% of NHDPlusHR classifications may be considered reliable when evaluating reliability based on approximate climate conditions associated with the year that the NHDPlus HR classification was assigned. The decision procedure is reproducible, flexible to varying criteria of end user applications, and is intended to help provide cost saving opportunities for land managers by providing information for more strategic field verification of streamflow class determination based on available yet imperfect data sources.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2026.129219","usgsCitation":"Jaeger, K., Wherry, S., Scott, M., Martinez, A., Sando, R., and Thaler, E.A., 2026, Lost in translation: Reconciling different streamflow permanence data products: Journal of Environmental Management, v. 404, 129219, 16 p., https://doi.org/10.1016/j.jenvman.2026.129219.","productDescription":"129219, 16 p.","ipdsId":"IP-171408","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":502472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2026.129219","text":"Publisher Index Page"},{"id":502204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Montana, Nevada, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.61411371322819,\n 42.48015964149741\n ],\n [\n -109.80879883110487,\n 43.08517318924734\n ],\n [\n -109.30997046456858,\n 44.42695083041454\n ],\n [\n -110.92158494879246,\n 44.716300429825424\n ],\n [\n -112.12998894052598,\n 44.57895782106192\n ],\n [\n -113.0062121953296,\n 44.53908996424485\n ],\n [\n -113.6469052474063,\n 45.34062107705117\n ],\n [\n -111.6973042239949,\n 45.971636509700005\n ],\n [\n -111.34427633105125,\n 46.66972650859822\n ],\n [\n -111.98955737152903,\n 49.05055499659551\n ],\n [\n -123.18356088234091,\n 49.077006592630624\n ],\n [\n -123.25034384567857,\n 48.35813749860927\n ],\n [\n -124.64640711985663,\n 48.40043775011347\n ],\n [\n -124.73241530729246,\n 48.11693596006333\n ],\n [\n -124.00596503462376,\n 45.580464515459255\n ],\n [\n -124.62385269314754,\n 42.99221096559535\n ],\n [\n -124.42327899775395,\n 41.85455838261578\n ],\n [\n -123.48391866805574,\n 41.83587189119251\n ],\n [\n -121.63294692012036,\n 42.763277725715966\n ],\n [\n -121.15383802260035,\n 42.979871447697974\n ],\n [\n -119.70140614249098,\n 41.80044784384427\n ],\n [\n -118.44829863182443,\n 42.244268281392124\n ],\n [\n -117.69982208376771,\n 41.43572768805927\n ],\n [\n -113.65133618510757,\n 41.68856902212272\n ],\n [\n -112.61411371322819,\n 42.48015964149741\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"404","noUsgsAuthors":false,"publicationDate":"2026-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaeger, Kristin 0000-0002-1209-8506 kjaeger@usgs.gov","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":196686,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","email":"kjaeger@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wherry, Susan 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":140159,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Malia H. 0000-0002-1393-1512","orcid":"https://orcid.org/0000-0002-1393-1512","contributorId":350909,"corporation":false,"usgs":true,"family":"Scott","given":"Malia H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinez, Audrey Marie 0000-0002-5828-1146","orcid":"https://orcid.org/0000-0002-5828-1146","contributorId":350912,"corporation":false,"usgs":true,"family":"Martinez","given":"Audrey Marie","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":958735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thaler, Evan A.","contributorId":189865,"corporation":false,"usgs":false,"family":"Thaler","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":958744,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274282,"text":"70274282 - 2026 - Adaptive capacity of freshwater organisms in North America: Current understanding and future applications","interactions":[],"lastModifiedDate":"2026-03-24T14:51:37.697368","indexId":"70274282","displayToPublicDate":"2026-03-20T09:41:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23620,"text":"Global Change Biology Communications","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive capacity of freshwater organisms in North America: Current understanding and future applications","docAbstract":"

Freshwater species are increasingly threatened by climate change, yet our ability to assess their vulnerability remains incomplete. Typically, climate change vulnerability assessments (CCVAs) evaluate three components: exposure, sensitivity, and adaptive capacity. Adaptive capacity, defined as the ability of a species to adjust to changing conditions, provides critical insight into how species may persist under future scenarios and can strengthen conservation planning by highlighting opportunities for resilience and targeted management strategies. Trait-based approaches offer a promising path for managers to operationalize adaptive capacity by identifying measurable biological and ecological traits that influence climate change response strategies. However, these insights are rarely integrated into broader vulnerability frameworks that support conservation decision making. We build on previous research to synthesize current understanding of adaptive capacity for three freshwater taxa in North America: fishes, mussels, and crayfishes. Our objectives were to: (1) assess the relevance of adaptive capacity factors for fishes, mussels, and crayfishes; (2) identify key opportunities and gaps in linking trait-based information into adaptive capacity assessments; and (3) illustrate how incorporating adaptive capacity can enhance management decisions for freshwater species under climate change. We used an expert workshop, literature review, and case studies to identify relevant adaptive capacity factors, assess available information, and evaluate inclusion in management contexts. We found that all three taxa had sufficient information to inform adaptive capacity assessments. In addition to existing adaptive capacity factors, we identified Morphology as an important yet underutilized cross-cutting diagnostic category when information was limited. By explicitly linking trait-based approaches with adaptive capacity frameworks, we offer practical guidance for improving climate adaptation strategies and prioritizing management actions for freshwater biodiversity under accelerating global change.

","language":"English","publisher":"Wiley","doi":"10.1002/gcb4.70009","usgsCitation":"Embke, H., Alofs, K., Bunnell, D., Caudill, C.M., Chu, C., Dunn, C.G., Fogelman, K., Gardner, S.T., Hook, T.O., Jackson, S.A., Keefer, M., Koenigbauer, S.T., LeDee, O.E., Ludsin, S., Lynch, A., Myers, B., Nyboer, E.A., Seaborn, T., Suski, C., Thurman, L., Walters, A.W., and Westhoff, J.T., 2026, Adaptive capacity of freshwater organisms in North America: Current understanding and future applications: Global Change Biology Communications, v. 1, no. 2, e70009, 21 p., https://doi.org/10.1002/gcb4.70009.","productDescription":"e70009, 21 p.","ipdsId":"IP-171922","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/gcb4.70009","text":"Publisher Index Page"},{"id":501447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"1","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":957572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alofs, Karen 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California—2025 Data Summary","interactions":[],"lastModifiedDate":"2026-03-20T16:56:45.130236","indexId":"dr1219","displayToPublicDate":"2026-03-20T07:27:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1219","displayTitle":"Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 Data Summary","title":"Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 Data Summary","docAbstract":"

Executive Summary 

We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) along Bull Creek, Haskell Creek, and the Los Angeles River (Sepulveda Dam project area) in Los Angeles County, California, in 2025. Four vireo surveys were completed between April 16 and July 2, 2025, and three flycatcher surveys were completed between May 21 and July 2, 2025. We found 11 territorial male vireos, 4 of which were confirmed as paired, and 3 transient vireos. Of the 11 territorial vireos, 6 were detected along the Los Angeles River, 3 along Haskell Creek, and 2 along Bull Creek. Forty-three percent of vireos were detected in habitat characterized as mixed willow riparian, and most vireos were detected in habitat with greater than 50-percent native plant cover. No flycatchers were observed in the Sepulveda Dam project area in 2025.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1219","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Allen, L., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 data summary: U.S. Geological Survey Data Report 1219, 7 p., https://doi.org/10.3133/dr1219.","productDescription":"vi, 7 p.","numberOfPages":"7","onlineOnly":"Y","ipdsId":"IP-183448","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1219/coverthb.jpg"},{"id":501300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1219/dr1219.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1219 PDF"},{"id":501301,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1219/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1219 HTML"},{"id":501302,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1219/dr1219.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1219 XML"},{"id":501303,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1219/images"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Sepulveda Dam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.51999625652957,\n 34.18688849159706\n ],\n [\n -118.51999625652957,\n 34.16368403373161\n ],\n [\n -118.46625895917532,\n 34.16368403373161\n ],\n [\n -118.46625895917532,\n 34.18688849159706\n ],\n [\n -118.51999625652957,\n 34.18688849159706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-03-20","noUsgsAuthors":false,"publicationDate":"2026-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957155,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274245,"text":"dr1223 - 2026 - Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys at the city of Carlsbad Preserve, San Diego County, California—2025 data summary","interactions":[],"lastModifiedDate":"2026-03-20T16:29:12.295646","indexId":"dr1223","displayToPublicDate":"2026-03-19T14:49:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1223","displayTitle":"Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys at the City of Carlsbad Preserve, San Diego County, California—2025 Data Summary","title":"Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys at the city of Carlsbad Preserve, San Diego County, California—2025 data summary","docAbstract":"

Executive Summary 

We surveyed for Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) at five survey areas within the City of Carlsbad Preserve, Carlsbad, California, in 2025. Three flycatcher surveys were completed between May 16 and June 30, 2025. One transient flycatcher was observed at the Lake Calavera survey area in the City of Carlsbad Preserve in 2025.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1223","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Allen, L.D., and Kus, B.E., 2026, Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys at the city of Carlsbad Preserve, San Diego County, California—2025 data summary: U.S. Geological Survey Data Report 1223,\n12 p., https://doi.org/10.3133/dr1223.","productDescription":"vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-182732","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501298,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1223/images"},{"id":501297,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1223/dr1223.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1223 XML"},{"id":501296,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1223/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1223 HTML"},{"id":501295,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1223/dr1223.pdf","text":"Report","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1223 PDF"},{"id":501294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1223/coverthb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"City of Carlsbad Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.377308461014,\n 33.193661270823796\n ],\n [\n -117.377308461014,\n 33.10266370263524\n ],\n [\n -117.25583692207024,\n 33.10266370263524\n ],\n [\n -117.25583692207024,\n 33.193661270823796\n ],\n [\n -117.377308461014,\n 33.193661270823796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-03-19","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957151,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274244,"text":"dr1221 - 2026 - Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus), Southwestern Willow Flycatchers (Empidonax traillii extimus), and Coastal California Gnatcatchers (Polioptila californica californica) at the Carbon Canyon Dam, Orange County, California—2025 data summary","interactions":[],"lastModifiedDate":"2026-03-20T16:22:44.952377","indexId":"dr1221","displayToPublicDate":"2026-03-19T14:48:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1221","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (Vireo bellii pusillus), Southwestern Willow Flycatchers (Empidonax traillii extimus), and Coastal California Gnatcatchers (Polioptila californica californica) at the Carbon Canyon Dam, Orange County, California—2025 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus), Southwestern Willow Flycatchers (Empidonax traillii extimus), and Coastal California Gnatcatchers (Polioptila californica californica) at the Carbon Canyon Dam, Orange County, California—2025 data summary","docAbstract":"

Executive Summary 

We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo), Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher), and Coastal California Gnatcatchers (Polioptila californica californica; gnatcatcher) at the Carbon Canyon Dam study area near Brea, California, in 2025. Four gnatcatcher and vireo surveys were completed between April 22 and June 25, 2025, and three flycatcher surveys were completed between May 15 and June 25, 2025.

We detected 14 territorial male vireos, 12 of which were paired. We also detected a transient vireo. Juvenile vireos were observed in two territories during surveys. Of the five vireo nests incidentally located during surveys, three were parasitized by Brown-headed Cowbirds (Molothrus ater). Vireos were reported in four habitat types: (1) mixed willow riparian, (2) riparian scrub, (3) upland, and (4) non-native vegetation. The dominant tree species in vireo territories was Goodding’s black willow (Salix gooddingii). Most vireo territories (12) were in habitat with greater than 50-percent native vegetation. The most common exotic species in vireo territories was poison hemlock (Conium maculatum). No flycatchers or gnatcatchers were observed during surveys.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1221","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus), Southwestern Willow Flycatchers (Empidonax traillii extimus), and Coastal California Gnatcatchers (Polioptila californica californica) at the Carbon Canyon Dam, Orange County, California—2025 data summary: U.S. Geological Survey Data Report 1221, 11 p., https://doi.org/10.3133/dr1221.","productDescription":"vi, 11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-183132","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501287,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1221/coverthb.jpg"},{"id":501288,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1221/dr1221.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1221 PDF"},{"id":501289,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1221/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1221 HTML"},{"id":501290,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1221/dr1221.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1221 XML"},{"id":501291,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1221/images"}],"country":"Unted States","state":"California","county":"Orange County","otherGeospatial":"Carbon Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.84688454153519,\n 33.92960059426852\n ],\n [\n -117.84688454153519,\n 33.904524714665456\n ],\n [\n -117.81718931471414,\n 33.904524714665456\n ],\n [\n -117.81718931471414,\n 33.92960059426852\n ],\n [\n -117.84688454153519,\n 33.92960059426852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-03-19","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":957149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274659,"text":"70274659 - 2026 - Bottom-up characterization of geologic methane emissions in the San Juan Basin in the southwestern USA","interactions":[],"lastModifiedDate":"2026-04-02T16:22:21.12048","indexId":"70274659","displayToPublicDate":"2026-03-19T10:34:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Bottom-up characterization of geologic methane emissions in the San Juan Basin in the southwestern USA","docAbstract":"

Methane is a potent greenhouse gas that plays an important role in atmospheric chemistry and global warming. The current global methane budget has large uncertainties, and a better understanding of the budget would help to guide strategies for reducing anthropogenic emissions to fight climate change. Natural geologic methane emissions are a particularly poorly constrained source, with top-down estimates from 14C in ice cores suggesting much lower geologic emissions than bottom-up scaling of direct flux measurements. Our study aims to contribute to resolving this discrepancy through improved bottom-up characterization of geologic methane seepage in the San Juan Basin in southwestern Colorado and northwestern New Mexico, USA. We performed 983 new flux chamber measurements in this basin during summer 2022 and winter 2023 field campaigns. Our results, in combination with prior measurements, suggest that natural seepage in the San Juan Basin only occurs on or near the Fruitland coal outcrop. Specifically, our new measurements confirm previous measurements of seepage along the northwestern exposure of the Fruitland outcrop in Colorado (a known hydrodynamic overpressure region) and for the first time, identified seepage locations along the southernmost Fruitland outcrop exposure in New Mexico, in association with a coal cleat and a fault. Overall, seepage along the Fruitland coal outcrop is heterogeneously distributed, with both positive and negative (interpreted as microbial soil sink) methane fluxes. Features that are hypothesized to be predictive of seepage (e.g., faults) were not associated with positive methane fluxes in areas outside of the Fruitland outcrop. Our best estimate for total geologic methane seepage in the San Juan Basin from spatial interpolation and statistical upscaling is approximately 0.14 Tg CH4/yr, with a range from 0.029 to 0.48 Tg CH4/yr. This best-estimate value is lower than a previous bottom-up estimate from a gridded seepage inventory, but higher than a previous top-down estimate.

","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.2025.00061","usgsCitation":"Scholer, M., Hall, K.R., Weber, T.S., Buursink, M., Zhu, M., Ihle, A.C., Hencmann, D., Smith, A.M., Anthony, K.W., and Petrenko, V.V., 2026, Bottom-up characterization of geologic methane emissions in the San Juan Basin in the southwestern USA: Elementa: Science of the Anthropocene, v. 14, no. 1, 00061, 22 p., https://doi.org/10.1525/elementa.2025.00061.","productDescription":"00061, 22 p.","ipdsId":"IP-172178","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":502089,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.2025.00061","text":"Publisher Index Page"},{"id":502013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.5689454607876,\n 37.40107713040729\n ],\n [\n -108.82473788846157,\n 37.40107713040729\n ],\n [\n -108.85098927466855,\n 35.182844028063656\n ],\n [\n -106.5837118655294,\n 35.193551773194685\n ],\n [\n -106.5689454607876,\n 37.40107713040729\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Scholer, Margaret","contributorId":369198,"corporation":false,"usgs":false,"family":"Scholer","given":"Margaret","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Kathleen R.","contributorId":365776,"corporation":false,"usgs":false,"family":"Hall","given":"Kathleen","middleInitial":"R.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Thomas S.","contributorId":369199,"corporation":false,"usgs":false,"family":"Weber","given":"Thomas","middleInitial":"S.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":958601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Mingzhe","contributorId":365779,"corporation":false,"usgs":false,"family":"Zhu","given":"Mingzhe","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ihle, Alexander C.","contributorId":369200,"corporation":false,"usgs":false,"family":"Ihle","given":"Alexander","middleInitial":"C.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hencmann, Devin","contributorId":369202,"corporation":false,"usgs":false,"family":"Hencmann","given":"Devin","affiliations":[{"id":87736,"text":"Ensolum, LLC, Durango, CO 81301","active":true,"usgs":false}],"preferred":false,"id":958604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Andrew M.","contributorId":369204,"corporation":false,"usgs":false,"family":"Smith","given":"Andrew","middleInitial":"M.","affiliations":[{"id":87737,"text":"Australian Nuclear Science and Technology Organisation, Sydney, Australia, NSW 2234","active":true,"usgs":false}],"preferred":false,"id":958605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anthony, Katey W.","contributorId":369205,"corporation":false,"usgs":false,"family":"Anthony","given":"Katey","middleInitial":"W.","affiliations":[{"id":87218,"text":"University of Alaska Fairbanks, Fairbanks, AK 99775-5910","active":true,"usgs":false}],"preferred":false,"id":958606,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petrenko, Vasilii V.","contributorId":365781,"corporation":false,"usgs":false,"family":"Petrenko","given":"Vasilii","middleInitial":"V.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958607,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274581,"text":"70274581 - 2026 - Constraining source and path effects of large magnitude earthquakes using ground motion simulations","interactions":[],"lastModifiedDate":"2026-04-01T17:30:17.899683","indexId":"70274581","displayToPublicDate":"2026-03-19T10:24:20","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Constraining source and path effects of large magnitude earthquakes using ground motion simulations","docAbstract":"

The purpose of this study is to use ground‐motion simulations to investigate ways in which source and path effects for large‐magnitude earthquakes can be represented in nonergodic ground‐motion models (GMMs). To achieve this, we designed a ground‐motion study in the San Francisco Bay Area that includes earthquakes with a broad range of magnitudes distributed uniformly on a fault plane, and sites covering a large range of rupture distances and azimuths. After running a large suite of kinematic simulations (magnitude 4–7), we then develop a nonergodic GMM with the simulated data. We find that trends in the within‐site residuals are affected significantly by the earthquake radiation pattern, rupture directivity, and slip patterns. Next, we modify an existing rupture directivity model to fit and remove the observed radiation pattern and rupture directivity from the residuals. We also minimize the contributions of slip patterns by averaging the within‐site residuals among multiple source realizations. Finally, after removing the source effects from the within‐site residuals, we compare the path effects computed with different magnitude groups using two approaches. The first approach only considers the small events that have the same shortest path to a site as the large events, whereas the second approach considers all small events on the fault plane. The results indicate that it is difficult to satisfactorily approximate the path effects of large events with those of small events using either approach, at least in the case of simulations.

","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120250161","usgsCitation":"Meng, X., Graves, R., and Goulet, C.A., 2026, Constraining source and path effects of large magnitude earthquakes using ground motion simulations: Bulletin of the Seismological Society of America, 19 p., https://doi.org/10.1785/0120250161.","productDescription":"19 p.","ipdsId":"IP-180707","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.17098655449547,\n 39.4081868475823\n ],\n [\n -124.17098655449547,\n 36.13153010429927\n ],\n [\n -120.37323428562047,\n 36.13153010429927\n ],\n [\n -120.37323428562047,\n 39.4081868475823\n ],\n [\n -124.17098655449547,\n 39.4081868475823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Meng, Xiaofeng","contributorId":350798,"corporation":false,"usgs":false,"family":"Meng","given":"Xiaofeng","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":958367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulet, Christine A 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":336587,"corporation":false,"usgs":true,"family":"Goulet","given":"Christine","email":"","middleInitial":"A","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958369,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274203,"text":"ofr20261067 - 2026 - Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation","interactions":[],"lastModifiedDate":"2026-04-03T15:40:49.693596","indexId":"ofr20261067","displayToPublicDate":"2026-03-19T10:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1067","displayTitle":"Field Performance Evaluation of a Bayluscide 20-Percent Suspension Concentrate Formulation","title":"Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation","docAbstract":"

Petromyzon marinus (sea lamprey) is a parasitic, invasive fish of the Laurentian Great Lakes. Since the late 1950s, the Great Lakes Fishery Commission has implemented an integrated Sea Lamprey Control Program (SLCP) that relies on two lampricidal chemicals: 3-(trifluoromethyl)-4-nitrophenol (TFM) and niclosamide. Niclosamide is applied using a bayluscide 20-percent emulsifiable concentrate; however, a solvent in this formulation, N-methyl-2-pyrrolidone, has been linked with worker safety concerns and has contributed to equipment degradation and clogging. To address these limitations, the U.S. Geological Survey, in collaboration with Battelle UK, developed a bayluscide 20-percent suspension concentrate (SC) as a potential alternative formulation.

In this study, we evaluated the field performance of SC on the Indian River in Schoolcraft County, Michigan. The objective was to assess the formulation’s compatibility with SLCP application procedures and equipment, and to determine its ability to deliver precise lampricide concentrations in a timely manner. SC was found to dilute easily with stream water and readily combined with TFM. As a result, target lampricide concentrations in the stream were achieved within 1 hour of initiating delivery. Moreover, concentrations remained within 9 percent of target values, with less than 2 percent variation across the width of the stream, demonstrating consistent and uniform distribution. These findings indicate that SC can support accurate and timely lampricide applications. When considered alongside previous research highlighting its favorable selectivity for sea lamprey and improved environmental safety, the results support the pursuit of registration and adoption of SC as a new tool for controlling invasive sea lamprey.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261067","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service Sea Lamprey Control Program","usgsCitation":"Carmosini, N., Schueller, J.R., Kirkeeng, C.A., Wood, A.M., Criger, L.A., and Luoma, J.A., 2026, Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation (ver. 1.1, March 19, 2026): U.S. Geological\nSurvey Open-File Report 2026–1067, 9 p., https://doi.org/10.3133/ofr20261067.","productDescription":"Report: vii, 9; Data Release","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177724","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":500972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1067/coverthb2.jpg"},{"id":500976,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1067/images/"},{"id":500975,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1067/ofr20261067.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1067 XML"},{"id":500973,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1067/ofr20261067.pdf","size":"961 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1067 PDF"},{"id":500974,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261067/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1067 HTML"},{"id":500977,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1ZIEH77","text":"USGS Data Release","linkHelpText":"Evaluation of bayluscide 20% suspension concentrate formulation field performance (Indian River, Schoolcraft County, MI)"},{"id":501267,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2026/1067/versionHist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Michigan","county":"Schoolcraft County","otherGeospatial":"Indian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.25,\n 45.98\n ],\n [\n -86.25,\n 45.97\n ],\n [\n -86.23,\n 45.97\n ],\n [\n -86.23,\n 45.98\n ],\n [\n -86.25,\n 45.98\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: March 17, 2026; Version 1.1: March 19, 2026","contact":"

Center Director, Upper Midwest Ecological Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2026-03-17","revisedDate":"2026-03-19","noUsgsAuthors":false,"publicationDate":"2026-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Carmosini, Nadia 0000-0002-9353-8728 ncarmosini@usgs.gov","orcid":"https://orcid.org/0000-0002-9353-8728","contributorId":346309,"corporation":false,"usgs":true,"family":"Carmosini","given":"Nadia","email":"ncarmosini@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":956953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":956954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":956955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Anne M. 0009-0006-7257-235X","orcid":"https://orcid.org/0009-0006-7257-235X","contributorId":360596,"corporation":false,"usgs":true,"family":"Wood","given":"Anne","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":956956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Criger, Lori A.","contributorId":367182,"corporation":false,"usgs":false,"family":"Criger","given":"Lori","middleInitial":"A.","affiliations":[{"id":87592,"text":"U.S. Fish and Wildlife Service.","active":true,"usgs":false}],"preferred":false,"id":956957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luoma, James A. 0000-0003-3556-0190","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":355611,"corporation":false,"usgs":false,"family":"Luoma","given":"James A.","affiliations":[{"id":37196,"text":"Retired USGS employee","active":true,"usgs":false}],"preferred":false,"id":956958,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274221,"text":"sir20265127 - 2026 - A three-dimensional geologic framework model of the northern Great Plains region of Montana, North Dakota, South Dakota, and Wyoming, USA","interactions":[],"lastModifiedDate":"2026-04-10T17:04:27.604962","indexId":"sir20265127","displayToPublicDate":"2026-03-18T17:05:00","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":"2026-5127","displayTitle":"A Three-Dimensional Geologic Framework Model of the Northern Great Plains Region of Montana, North Dakota, South Dakota, and Wyoming, USA","title":"A three-dimensional geologic framework model of the northern Great Plains region of Montana, North Dakota, South Dakota, and Wyoming, USA","docAbstract":"

This report presents a new three-dimensional geologic framework model (GFM) of the northern Great Plains region, encompassing parts of Montana, North Dakota, South Dakota, and Wyoming. The model provides a regionally consistent, geographic information system (GIS)-ready representation of Phanerozoic sedimentary strata, major fault systems, and Precambrian basement geometry across two sedimentary basins and adjacent uplifts. More than 300,000 geologic and geophysical data inputs were synthesized to model 41 stratigraphic horizons and 47 faults, yielding an internally coherent, sealed-volume interpretation of the subsurface. The modeling workflow developed for this study demonstrates an efficient and scalable approach for constructing basin-to regional-scale GFMs in geologically complex and data-variable settings. Although model fidelity varies with data density and quality, the resulting geometry is broadly consistent with 1:500,000-scale geologic mapping and highlights areas where additional geologic study is most needed. The three-dimensional GFM provides a foundational framework to support groundwater, energy, and mineral resource assessments, and offers a transferable methodology for potential future U.S. Geological Survey efforts to build large-area subsurface models in underexplored regions of the United States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265127","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Spangler, L.R., 2026, A three-dimensional geologic framework model of the northern Great Plains region of Montana, North Dakota, South Dakota, and Wyoming, USA: U.S. Geological Survey Scientific Investigations Report 2026–5127, 51 p., https://doi.org/10.3133/sir20265127.","productDescription":"Report: viii, 51 p.; 7 Plates: 40.15 x 40.82 inches: 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-169097","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501398,"rank":14,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119319.htm","linkFileType":{"id":5,"text":"html"}},{"id":501293,"rank":13,"type":{"id":31,"text":"Publication 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Three-Dimensional Geologic Model"},{"id":501171,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate01.pdf","text":"Plate 1","size":"6.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 1","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Precambrian Basement Rock Unit Produced in the Three-Dimensional Geologic Model"},{"id":501226,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate07.pdf","text":"Plate 7","size":"5.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 7","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Pierre Shale Unit Produced in the Three-Dimensional Geologic Model"},{"id":501168,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127.pdf","text":"Report","size":"13.5 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Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2026-03-18","noUsgsAuthors":false,"plainLanguageSummary":"

This report presents a new three-dimensional map of underground rock layers and faults in the northern Great Plains, covering parts of Montana, North Dakota, South Dakota, and Wyoming. The model was built from thousands of data points collected from wells, maps, and geophysical surveys. It shows the shape, depth, and thickness of multiple rock layers—many of which are important for water, energy, and mineral resources. The map helps scientists, land managers, and decisionmakers better understand the region’s subsurface geology. This work also shows that reliable geologic models can be made even in areas with limited data, using a repeatable method that can be applied in other underexplored areas.

","publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Spangler, Leland R. 0000-0002-2223-7047","orcid":"https://orcid.org/0000-0002-2223-7047","contributorId":295310,"corporation":false,"usgs":true,"family":"Spangler","given":"Leland","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":957093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274325,"text":"70274325 - 2026 - Deep critical zone controls on shallow landslides","interactions":[],"lastModifiedDate":"2026-03-26T19:40:22.332984","indexId":"70274325","displayToPublicDate":"2026-03-18T12:36:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deep critical zone controls on shallow landslides","docAbstract":"The deep critical zone (CZ) has long been recognized for its importance in influencing shallow landslides but was not considered feasible to include in slope stability models at the watershed scale. In this study, we demonstrate that simple approximations of the CZ in a fully coupled hydrologic and soil slope stability model can effectively capture the location, timing, and likely size of shallow landslides. To achieve this, we use coupled, process-based models that incorporate the effects of 1) deep CZ structures, 2) three-dimensional transient hydrology, and 3) multidimensional slope stability, calibrated with data from an intensively monitored field site. Our results show that the hydrologically active deep CZ guides groundwater flow, influencing where it drains from or exfiltrates to the soil mantle, producing distinct patterns of soil saturation and seepage forces at the soil-bedrock boundary. Deep conductive weathered critical zone drains the soil mantle, reducing the likelihood of destabilizing pore pressures, while the downslope thinning of the CZ forces groundwater to the surface. This creates localized instability and a tendency for similar-sized landslides across the landscape. In contrast, the absence of conductive weathered bedrock results in more widespread destabilizing pore pressures, leading to larger landslides and the likelihood of landslides earlier in a storm than in landscapes underlain by a deep CZ. Our findings suggest that first-order variations of deep CZ can provide physical explanations for variations observed in the susceptibility, magnitude, and timing of shallow landslides, and that CZ structure may be inferred from patterns and timing of landsliding.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2524542123","usgsCitation":"Moon, S., Formetta, G., Higa, J.T., Busti, R., Bellugi, D.G., Milledge, D.G., Ebel, B., and Dietrich, W.E., 2026, Deep critical zone controls on shallow landslides: Proceedings of the National Academy of Sciences, v. 123, no. 12, e2524542123, 12 p., https://doi.org/10.1073/pnas.2524542123.","productDescription":"e2524542123, 12 p.","ipdsId":"IP-159353","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2524542123","text":"Publisher Index Page"},{"id":501638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"12","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":957885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Formetta, Giuseppe 0000-0002-0252-1462","orcid":"https://orcid.org/0000-0002-0252-1462","contributorId":210296,"corporation":false,"usgs":false,"family":"Formetta","given":"Giuseppe","email":"","affiliations":[{"id":38100,"text":"Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":957886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higa, Justin T.","contributorId":367913,"corporation":false,"usgs":false,"family":"Higa","given":"Justin","middleInitial":"T.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":957887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busti, Riccardo","contributorId":367914,"corporation":false,"usgs":false,"family":"Busti","given":"Riccardo","affiliations":[{"id":25322,"text":"University of Trento","active":true,"usgs":false}],"preferred":false,"id":957888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellugi, Dino G.","contributorId":367915,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","middleInitial":"G.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Milledge, David G.","contributorId":367916,"corporation":false,"usgs":false,"family":"Milledge","given":"David","middleInitial":"G.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":957890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietrich, William E.","contributorId":367923,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","middleInitial":"E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957892,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}