In the Boquet River (NY, USA) a low-head dam set above a ~200-m bedrock cascade was removed in 2015. We used radio-telemetry to assess landlocked Atlantic salmon passage at the remaining cascade (2020, 2022). Across years, 52% of males (13/25) attempted cascade passage whereas females made no discernable attempts (0/11). Attempt probability increased with stream discharge and decreased with fish size, though overall passage success was low (1/36). Shallow depths—likely owing to an artificially widened channel—appear to be limiting passage. Additionally, we transported fish upstream but observed high fallback (72%) that was associated with fish size and energetic status. Following dam removal, this cascade continues to limit upstream passage resulting in increased vulnerability to angling during migratory delay. Overall, we highlight the importance of follow-up studies after dam removal, and that further modifications at this site may be required to improve passage.
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The U.S. Geological Survey (USGS), Massachusetts Department of Environmental Protection (MassDEP), and University of Massachusetts Amherst began a series of cooperative studies in July 2019 to develop an automated geographic information system (GIS) hydraulic modeling tool for preliminary culvert designs for stream crossings. The USGS plans to provide preliminary culvert designs in the web-based StreamStats application, which enables municipalities and engineers to view potential designs and related information for stream crossing replacement projects in Massachusetts. This application can (a) provide information on hydrology, hydraulics, and ecological conditions at stream crossing sites, (b) provide users with potential culvert designs to improve aquatic organism passage and flood resiliency, and (c) assist MassDEP in implementing the Massachusetts Wetlands Protection Act regulations for stream crossing projects.
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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Water-supply managers in the Colorado River Basin are tasked with balancing consumptive water use with natural water supply. Decisions associated with water-supply policy can include where and how much water consumption occurs, where water could be stored, and how to operate reservoirs. Water-supply decisions often affect other resources including energy production, recreation and aquatic ecosystems.
The goal of this project was to model how different water supply management scenarios might affect riverine ecosystems with a specific focus on potential impacts on federally listed fish populations, including threatened humpback chub (Gila cypha) and endangered Colorado pikeminnow (Ptychocheilus lucius) and razorback sucker (Xyrauchen texanus). Threats to these endemic species include introduced non-native fish species that often become invasive, like smallmouth bass (Micropterus dolomieu), and altered physical conditions that may favor these non-native fish species over the endemic fish species. Changes in how water supply may be managed in the Colorado River Basin can affect physical conditions in rivers by altering how much water flows through a particular river segment at a given time, by changing the extent of riverine ecosystems between reservoirs, and by determining the quality of water released from storage reservoirs with fixed release elevation (e.g., full reservoirs generally release colder water). To address our goal, we developed tools that coupled water storage models, river temperature models and fish population models to examine how different scenarios to operate Lake Mead, Lake Powell, and Flaming Gorge Reservoir, the three largest reservoirs in the watershed, may affect fish populations.
We developed our work plan when available water supply was diminished. At the end of our project period (May 2022), Lake Powell and Lake Mead contained historically low water levels, and our models were being used in evaluating different options for operating Lake Powell by the Bureau of Reclamation and other stakeholders.
","language":"English","publisher":"Southwest Climate Adaptation Science Center","usgsCitation":"Schmidt, J.C., and Yackulic, C.B., 2026, Informing policy response to declining water supply in the Colorado River basin: Linking water supply management with outcomes for fish communities: Final Report, 30 p.","productDescription":"30 p.","ipdsId":"IP-171966","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504545,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c6580e4b0546c0c397b4e/5d49e2eae4b01d82ce8de984"}],"country":"United States","state":"Arizona, Utah, Wyoming","otherGeospatial":"Colorado River, Flaming Gorge Dam, Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.3057922,\n 41.668286\n ],\n [\n -113.78987108248965,\n 41.668286\n ],\n [\n -113.78987108248965,\n 35.11578036179964\n ],\n [\n -108.3057922,\n 35.11578036179964\n ],\n [\n -108.3057922,\n 41.668286\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John C.","contributorId":371443,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","middleInitial":"C.","affiliations":[{"id":88143,"text":"Janet Quinney Lawson Chair in Colorado River Studies, Center for Colorado River Studies, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":961827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961828,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275756,"text":"70275756 - 2026 - USGS 2025 critical minerals review","interactions":[],"lastModifiedDate":"2026-05-18T15:39:31.131997","indexId":"70275756","displayToPublicDate":"2026-05-01T10:37:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"USGS 2025 critical minerals review","docAbstract":"The United States Geological Survey (USGS) provides scientific information for the Department of Interior and the nation, consistent with its original mission expressed in the Organic Act of 1879 (43 U.S.C. 31): “the classification of the public lands and examination of the geological structure, mineral resources, and products within and outside the national domain.” Legislation such as the Energy Act of 2020 and the 2022 Infrastructure Investment and Jobs Act (43 USC 31l) and recent executive actions (Executive Orders 14154 , 14153, 14241 Secretary’s Orders 3417, 3418, 3422, 3436) underscore the importance of mineral resources and focus USGS activities on mapping and assessing mineral resources, with a particular focus on those presently identified as critical, both in ground and above ground in mine wastes.
This article reviews selected activities and accomplishments by the USGS Mineral Resources Program related to critical minerals in 2025. Highlights include a new List of Critical Minerals, a first-ever national mine waste inventory, international minerals partnerships, mineral resource assessment advancements, and national data collection activities and outcomes of the Earth Mapping Resources Initiative (Earth MRI). The selected contributions are not comprehensive but are intended to demonstrate USGS leadership in critical mineral mapping and assessment, the importance of domestic and global partnerships, and the breadth of research activities that are responsive to national needs and priorities.
","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Jones, J.V., Gallegos, T., Kunledare, M.A., and Riggs, C.E., 2026, USGS 2025 critical minerals review: Mining Engineering, v. 78, no. 5, p. 42-57.","productDescription":"16 p.","startPage":"42","endPage":"57","ipdsId":"IP-188633","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":504481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504466,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/usgs-2025-critical-minerals-review/"}],"volume":"78","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":961655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Tanya 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":222082,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":961656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunledare, Mojisola Abosede 0009-0007-3629-4855","orcid":"https://orcid.org/0009-0007-3629-4855","contributorId":371350,"corporation":false,"usgs":true,"family":"Kunledare","given":"Mojisola","middleInitial":"Abosede","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":961657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riggs, Charlotte E. 0000-0002-3597-0328","orcid":"https://orcid.org/0000-0002-3597-0328","contributorId":302492,"corporation":false,"usgs":true,"family":"Riggs","given":"Charlotte","email":"","middleInitial":"E.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":961658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275757,"text":"70275757 - 2026 - Holocene barrier dynamics & management on the Eastern Shore of Virginia","interactions":[],"lastModifiedDate":"2026-05-18T15:32:21.456053","indexId":"70275757","displayToPublicDate":"2026-05-01T10:12:18","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Holocene barrier dynamics & management on the Eastern Shore of Virginia","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Field trip guide","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Virginia Geological Field Conference 2025","conferenceDate":"March 20-22, 2026","language":"English","publisher":"William & Mary","usgsCitation":"Hein, C., Boggess, A., Cahoon, K., Ciarletta, D.J., Davis, E., Fenster, M., Georgiou, I., Harris, M., Hein, E., Kivimaki, K., McCormick, W., and Shawler, J., 2026, Holocene barrier dynamics & management on the Eastern Shore of Virginia, in Field trip guide, March 20-22, 2026, 44 p.","productDescription":"44 p.","ipdsId":"IP-186937","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504467,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nasa.gov/wp-content/uploads/2026/03/vgfc-2025-eastern-shore-field-trip-guide.pdf"}],"country":"United States","state":"Virginia","otherGeospatial":"Eastern Shore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.18085119145817,\n 38.02291561048287\n ],\n [\n -76.147151544789,\n 38.02291561048287\n ],\n [\n -76.147151544789,\n 37.035362985350844\n ],\n [\n -75.18085119145817,\n 37.035362985350844\n ],\n [\n -75.18085119145817,\n 38.02291561048287\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, Christopher","contributorId":214093,"corporation":false,"usgs":false,"family":"Hein","given":"Christopher","affiliations":[{"id":18865,"text":"VIMS","active":true,"usgs":false}],"preferred":false,"id":961659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boggess, Allyson","contributorId":371352,"corporation":false,"usgs":false,"family":"Boggess","given":"Allyson","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Kayla","contributorId":371353,"corporation":false,"usgs":false,"family":"Cahoon","given":"Kayla","affiliations":[{"id":24614,"text":"North Carolina Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Elizabeth","contributorId":371354,"corporation":false,"usgs":false,"family":"Davis","given":"Elizabeth","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fenster, Michael","contributorId":371355,"corporation":false,"usgs":false,"family":"Fenster","given":"Michael","affiliations":[{"id":35589,"text":"Randolph-Macon College","active":true,"usgs":false}],"preferred":false,"id":961664,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Georgiou, Ioannis","contributorId":371356,"corporation":false,"usgs":false,"family":"Georgiou","given":"Ioannis","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":961665,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harris, Michelle","contributorId":371357,"corporation":false,"usgs":false,"family":"Harris","given":"Michelle","affiliations":[{"id":88120,"text":"Moreno Valley College","active":true,"usgs":false}],"preferred":false,"id":961666,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hein, Emily","contributorId":371358,"corporation":false,"usgs":false,"family":"Hein","given":"Emily","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961667,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kivimaki, Katherine","contributorId":371359,"corporation":false,"usgs":false,"family":"Kivimaki","given":"Katherine","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961668,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCormick, William","contributorId":371360,"corporation":false,"usgs":false,"family":"McCormick","given":"William","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":961669,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shawler, Justin","contributorId":371361,"corporation":false,"usgs":false,"family":"Shawler","given":"Justin","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":961670,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70275653,"text":"70275653 - 2026 - An overview and participatory framework for choosing spatial boundaries in social–ecological systems modeling","interactions":[],"lastModifiedDate":"2026-05-07T15:15:49.50451","indexId":"70275653","displayToPublicDate":"2026-05-01T10:11:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5685,"text":"ISPRS International Journal of Geo-Information ","printIssn":"2220-9964","active":true,"publicationSubtype":{"id":10}},"title":"An overview and participatory framework for choosing spatial boundaries in social–ecological systems modeling","docAbstract":"A common challenge when modeling social–ecological systems (SESs) is defining the spatial extent of the system. Boundaries that do not adequately capture both social and ecological processes and their interactions can lead to mischaracterization of the system, while expanding boundaries too widely can impact model complexity and required resources. Socially, boundaries can invoke and influence identity, culture, power, and sense of place. Boundary decisions benefit from flexible, iterative approaches and the expertise of local communities. Here, we use a structured database search supplemented with citation searching to identify and review the literature that addresses choosing or defining spatial boundaries in SESs mapping or modeling and, when applicable, how participatory methods were used in the research process. In a review of the resulting 79 studies, we discovered that pre-existing social or ecological boundaries were used most frequently (36 and 18 publications, respectively). Twenty-one publications combined social and ecological boundaries or data to create custom boundaries, and four studies used an alternative approach to conventional boundaries. Informed by the literature review, we present a general framework for defining boundaries at the outset of SES research. We then connect the framework to a specific case study based on a collaborative project with Tribal, university, and federal scientists to develop a social–ecological climate adaptation plan. We present guiding questions alongside candidate boundaries for our study system and explore the tradeoffs of these boundary options, which can function as a useful template for other social–ecological research collaborations.
","language":"English","publisher":"MPDI","doi":"10.3390/ijgi15050196","usgsCitation":"Perella, C.D., Vukomanovic, J., Hickman, C., Terando, A.J., Eaton, M.J., and Schaefer, M., 2026, An overview and participatory framework for choosing spatial boundaries in social–ecological systems modeling: ISPRS International Journal of Geo-Information, v. 15, no. 5, 196, 35 p., https://doi.org/10.3390/ijgi15050196.","productDescription":"196, 35 p.","ipdsId":"IP-181199","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":504220,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi15050196","text":"Publisher Index Page"},{"id":504094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Perella, Christina D.","contributorId":371222,"corporation":false,"usgs":false,"family":"Perella","given":"Christina","middleInitial":"D.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":961313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vukomanovic, Jelena","contributorId":316275,"corporation":false,"usgs":false,"family":"Vukomanovic","given":"Jelena","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":961314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Caleb R.","contributorId":356386,"corporation":false,"usgs":false,"family":"Hickman","given":"Caleb R.","affiliations":[{"id":84985,"text":"Eastern Band of Cherokee Indians","active":true,"usgs":false}],"preferred":false,"id":961315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam J.","contributorId":371223,"corporation":false,"usgs":false,"family":"Terando","given":"Adam","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":961316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":961317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaefer, Marie","contributorId":371224,"corporation":false,"usgs":false,"family":"Schaefer","given":"Marie","affiliations":[],"preferred":false,"id":961318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275754,"text":"70275754 - 2026 - Revisiting the utility of regional-scale, high-quality geophysical data in mineral exploration - A case study featuring the Mammoth Magnetic Anomaly, Pinal County, Arizona","interactions":[],"lastModifiedDate":"2026-05-18T15:10:18.71482","indexId":"70275754","displayToPublicDate":"2026-05-01T09:58:40","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Revisiting the utility of regional-scale, high-quality geophysical data in mineral exploration - A case study featuring the Mammoth Magnetic Anomaly, Pinal County, Arizona","docAbstract":"Regional aeromagnetic surveys passively measure the total magnetic intensity (TMI) and are a foundational tool used in mineral exploration (Airo, 2015). With the increased global demand and the number of critical mineral resources required for manufacturing high-tech devices, developing high-quality, regional-scale geophysical surveys could aid critical mineral exploration efforts and geologic mapping. In 2019, the U. S. Geological Survey launched the Earth Mapping Resources Initiative (Earth MRI) to modernize the geologic and geophysical mapping of regions that have the potential to contain critical mineral resources within the United States. In support of planning Earth MRI geophysical surveys, Drenth and Grauch (2019) defined five aeromagnetic data quality rankings (rank 1 through rank 5) applying them to the airborne geophysical survey inventory of the United States (Johnson et al., 2021). Rank 1 aeromagnetic surveys are of the highest quality, meeting modern standards and allowing best practices for qualitative and quantitative interpretation; whereas rank 5 aeromagnetic surveys are of the lowest quality, being useful only for qualitative interpretation of broad features. Through the Earth MRI effort, 48 high-quality, regional-scale rank 1 and 2 airborne magnetic and radiometric geophysical surveys have been planned, collected, or publicly release through May 2025 (U. S. Geological Survey, 2025). Here, a portion of a rank 1 Earth MRI aeromagnetic survey in southeast Arizona is presented and compared to a legacy rank 5 aeromagnetic survey over the Mammoth Magnetic Anomaly (MMA), demonstrating how modern, high-quality aeromagnetic data improves our view of crustal geology, aiding mineral exploration.","conferenceTitle":"Mineral Prospectivity and Exploration Targeting – MinProXT 2025","conferenceDate":"October 21-24, 2025","language":"English","publisher":"Geological Survey of Finland","usgsCitation":"Walter, C.A., 2026, Revisiting the utility of regional-scale, high-quality geophysical data in mineral exploration - A case study featuring the Mammoth Magnetic Anomaly, Pinal County, Arizona, Mineral Prospectivity and Exploration Targeting – MinProXT 2025, October 21-24, 2025, p. 54-57.","productDescription":"4 p.","startPage":"54","endPage":"57","ipdsId":"IP-183052","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":504478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504465,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://urn.fi/URN:NBN:fi:gtk-1.2.246.563.1.131543"}],"country":"United States","state":"Arizona","county":"Pinal County","otherGeospatial":"Mammoth Magnetic Anomaly","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.6527,\n 32.85\n ],\n [\n -110.4398,\n 32.85\n ],\n [\n -110.4398,\n 32.716522\n ],\n [\n -110.6527,\n 32.716522\n ],\n [\n -110.6527,\n 32.85\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Callum Andrew 0000-0001-7955-2016","orcid":"https://orcid.org/0000-0001-7955-2016","contributorId":360911,"corporation":false,"usgs":true,"family":"Walter","given":"Callum","middleInitial":"Andrew","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276315,"text":"70276315 - 2026 - Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado","interactions":[],"lastModifiedDate":"2026-05-28T14:50:26.640902","indexId":"70276315","displayToPublicDate":"2026-05-01T09:42:53","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":24799,"text":"Data Series","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"6","title":"Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado","docAbstract":"The Geochemical Geodatabase of Sedimentary Strata (Coal, Coal-adjacent Rocks, Tuffaceous Oil Shale, Phosphate-rich Rocks) and Produced Water in the Uinta Region, Utah and Colorado, consists of compiled datasets acquired as part of the Carbon Ore, Rare Earth, and Critical Mineral (CORE-CM) Uinta Region assessment funded by the U.S. Department of Energy (DEFE0032046, 2021–2024; Birgenheier et al., 2024). The CORE-CM assessment focused on providing comprehensive geological and geochemical characterization of current and prospective sedimentary-hosted resources including coal, oil shale, phosphatic limestone, and produced water from oil and gas targets present in eastern Utah and northwestern Colorado (Figure 1).
This Data Series includes a geodatabase that consists of analytical geochemical data collected September 2021 through December 2024 via portable X-ray fluorescence (pXRF), and laboratory measured analyses produced by inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma optical emission spectroscopy (ICP-OES). The coal-related geochemical data are derived primarily from the Cretaceous Blackhawk Formation and Ferron Sandstone of Utah, and the Mesaverde Group of Colorado. Additional non-coal resources assessed include oil shale-bearing strata of the Eocene upper Green River Formation (Utah and Colorado), phosphate-rich limestone of the Permian Park City Formation (Utah) and produced water from oil and gas-bearing strata of the Eocene Green River and Wasatch Formations (Uinta Basin) and the Pennsylvanian Paradox Formation (Paradox Basin) (Table 1). The CORE-CM assessment included a wide range of lithologies present in the coal, oil shale, and phosphate geologic resource systems whether or not the specific lithology has current economic value. Geochemical analyses of produced water from oil and gas wells focused on current and emerging hydrocarbon targets in the central Uinta Basin and northern Paradox Basin. A total of 13,092 geochemical analyses from these geologic systems is provided in the included geodatabase. A series of coal quality data (e.g., composition and maceral analyses) is also included in the database and was digitized from archived coal samples from the Utah Geological Survey (Appendix A).
","language":"English","publisher":"Utah Geological Survey","doi":"10.34191/DS-6","usgsCitation":"Gall, R.D., Birgenheier, L., Fausett, P., Coe, H., Morris, E., Fernandez, D.P., Wilcock, L., Vanden Berg, M., Masterson, A.L., Jubb, A., Birdwell, J.E., Ashurst-McGee, L., Bailey, N., Giebel, A., Herzberg, A., Chenault, J., and Hoskins, B., 2026, Geochemical geodatabase of sedimentary strata (coal, coal-adjacent rocks, tuffaceous oil shale, phosphate-rich rocks) and produced water in the Uinta region, Utah and Colorado: Data Series 6, 13 p., https://doi.org/10.34191/DS-6.","productDescription":"13 p.","ipdsId":"IP-183398","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, 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Map","interactions":[],"lastModifiedDate":"2026-05-01T14:26:55.789731","indexId":"70274338","displayToPublicDate":"2026-05-01T09:02:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"The United States Magnetotelluric Array and the National Impedance Map","docAbstract":"The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long-period magnetotelluric stations covering the entirety of the contiguous United States on a quasi-regular 70 km grid. Funding across multiple federal agencies was critical to sustaining this effort to its completion. Important components of the project included active guidance and participation from the MT community, the open and timely availability of all data, and the application of consistent instrumentation and robust data processing. Together with parallel advancement in the development of publicly available three-dimensional (3D) inversion codes, the USMTArray has revitalized the US magnetotelluric community and increased the visibility of magnetotellurics within the Earth-science community. Taken as a whole, these data are visualized as the National Impedance Map, which, together with a 3D synthesis conductivity model of the nation, reveals the electrical architecture of the contiguous US. USMTArray data are used by researchers worldwide for fundamental and applied studies, including investigations of continental architecture and evolution, estimation of hazards to critical infrastructure due to geomagnetic storms, and assessment of the nation's undiscovered geothermal and mineral resources. We here review the history and development of the project, discuss the challenges and successes in its execution, present the National Impedance Map and synthesis conductivity model, and highlight the breadth of research stemming from this rich data set.
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Louise","contributorId":367953,"corporation":false,"usgs":false,"family":"Pellerin","given":"Louise","affiliations":[{"id":87654,"text":"Green Geophysics","active":true,"usgs":false}],"preferred":false,"id":957949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frassetto, Andy","contributorId":350836,"corporation":false,"usgs":false,"family":"Frassetto","given":"Andy","affiliations":[{"id":83843,"text":"Earthscope","active":true,"usgs":false}],"preferred":false,"id":957951,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, Benjamin S. 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":221483,"corporation":false,"usgs":false,"family":"Murphy","given":"Benjamin S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":957952,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275313,"text":"sir20265018 - 2026 - Understanding the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin","interactions":[],"lastModifiedDate":"2026-05-01T16:47:30.87071","indexId":"sir20265018","displayToPublicDate":"2026-04-30T15:25:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations 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In 2025, 37 sites in the Wanaque, Ramapo, Pompton, and Passaic River watersheds were sampled in January, March, July, and September under base-flow conditions and a subset of sites was sampled during two rain events. Samples were analyzed for 40 individual PFAS and total organic carbon and a subset of samples was analyzed for 1,4-dioxane and trace elements. Fifteen PFAS were detected at least once, with individual concentrations ranging from 0.42 to 28 nanograms per liter (ng/L; median, 2.8 ng/L). Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) were widespread and detected in 100 and 97 percent of the samples, respectively. Concentrations of PFOA and PFOS ranged from 1.2 to 28 ng/L (median, 7.7 ng/L) and from 0.52 to 12 ng/L (median, 3.8 ng/L), respectively. Generally, concentrations were lower in the Wanaque and Ramapo River watersheds compared to the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest in July and September when flows were low. During rain events, median concentrations of PFOS were elevated compared to those observed under base-flow conditions, indicating potential inputs from non-point sources. To understand potential drivers of PFAS concentrations, land cover and potential PFAS sources were summarized for each sampling site, and an accumulated wastewater model was used to estimate the percentage of wastewater from upstream municipal and industrial sources in all flowlines of the Passaic River Basin. Developed land, the number of potential sources, and the mean-annual accumulated wastewater percentage were highly correlated with PFAS concentrations and Deciduous Forests were negatively related to concentrations. Data provided by this study can be used by water purveyors and resource managers to make treatment and mitigation decisions to minimize PFAS in local surface waters used as drinking-water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265018","collaboration":"Prepared in cooperation with the North Jersey District Water Supply Commission","usgsCitation":"Schreiner, M.L., Romanok, K.M., Gray, J.T., Brown, E.J., Williams, B.M., Kneser, M., Capuzzi, A.J., Boerner, J., Giunta, L., Serillo, P., Trainor, J.J., and Smalling, K.L., 2026, Understanding the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin: U.S. Geological Survey Scientific Investigations Report 2026–5018, 64 p., https://doi.org/10.3133/sir20265018.","productDescription":"Report: ix, 64 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184195","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":503901,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119389.htm","linkFileType":{"id":5,"text":"html"}},{"id":503606,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RGG9YQ","text":"USGS data release","linkHelpText":"Per- and polyfluoroalkyl substances (PFAS) concentration results in the Wanaque, Ramapo, Pompton and Passaic River watersheds, New Jersey 2025"},{"id":503604,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5018 XML"},{"id":503603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265018/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5018 HTML"},{"id":503605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5018/images/"},{"id":503602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.pdf","text":"Report","size":"4.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5018 PDF"},{"id":503601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5018/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Passaic River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.83442630336236,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 41.42203271609333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
U.S. Geological Survey researchers, in cooperation with the North Jersey District Water Supply Commission, determined that per- and polyfluoroalkyl substances (PFAS) are present in northern New Jersey rivers that are used as drinking-water sources. During their 2025 study, the researchers sampled 37 locations across the Wanaque, Ramapo, Pompton, and Passaic River watersheds. The researchers tested each sample for 40 types of PFAS. Of these, 15 were detected at least once. Two PFAS, perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), were present in nearly every sample. PFAS concentrations varied by watershed and season. The lowest were detected in the Wanaque and Ramapo River watersheds, and the highest, in the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest under base-flow conditions in July and September.
","publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schreiner, Molly L. 0000-0001-9306-5564","orcid":"https://orcid.org/0000-0001-9306-5564","contributorId":296363,"corporation":false,"usgs":true,"family":"Schreiner","given":"Molly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanok, Kristin M. 0000-0002-8472-8765 kromanok@usgs.gov","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":204640,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin","email":"kromanok@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Jacob T. 0000-0002-9374-0336","orcid":"https://orcid.org/0000-0002-9374-0336","contributorId":330273,"corporation":false,"usgs":true,"family":"Gray","given":"Jacob","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Eileen J. 0000-0003-3417-0203 ejbrown@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-0203","contributorId":361968,"corporation":false,"usgs":true,"family":"Brown","given":"Eileen","email":"ejbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kneser, Maureen","contributorId":370591,"corporation":false,"usgs":false,"family":"Kneser","given":"Maureen","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Capuzzi, Albert J.","contributorId":370592,"corporation":false,"usgs":false,"family":"Capuzzi","given":"Albert","middleInitial":"J.","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boerner, Jason","contributorId":370593,"corporation":false,"usgs":false,"family":"Boerner","given":"Jason","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giunta, Luke","contributorId":370594,"corporation":false,"usgs":false,"family":"Giunta","given":"Luke","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Serillo, Paul","contributorId":370595,"corporation":false,"usgs":false,"family":"Serillo","given":"Paul","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960553,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trainor, John J. 0000-0002-6603-2684 jtrainor@usgs.gov","orcid":"https://orcid.org/0000-0002-6603-2684","contributorId":5408,"corporation":false,"usgs":true,"family":"Trainor","given":"John","email":"jtrainor@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960555,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70275239,"text":"sir20265142 - 2026 - Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022","interactions":[],"lastModifiedDate":"2026-05-01T16:45:34.897463","indexId":"sir20265142","displayToPublicDate":"2026-04-30T10:23:48","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":"2026-5142","displayTitle":"Assessment of Long-Term Trends in Streamflow Statistics Within and Near the Mobile Bay and Perdido Bay Watersheds, United States, 1950–2022","title":"Assessment of long-term trends in streamflow statistics within and near the Mobile Bay and Perdido Bay watersheds, United States, 1950–2022","docAbstract":"The U.S. Geological Survey, in cooperation with the Gulf Coast Ecosystem Restoration Council, assessed monotonic trends for a variety of streamflow statistics for 69 long-term U.S. Geological Survey streamgages within either the Mobile Bay or Perdido Bay watersheds that were active through at least at the end of calendar year 2019. Long-term data were defined for this investigation as having at least 50 years of cumulative record within the period since January 1, 1950, with a requirement for a complete record of streamflow during the 2010s (2010–19). The 69 streamgages have at least 54 years and as many as 73 years of daily mean streamflow data; the median period of record is 72 years; and 15 of the streamgages are identified as “major nodes” on the basis of the criteria described. The occurrence of statistically monotonic significant trends for the 69 streamgages at the 0.05 significance level is spatially shown for six statistics. For the major node streamgages, the study depicts (1) time-series graphics of annual mean, annual harmonic mean, decadal 10th, 50th, and 90th-percentile streamflows, and (2) a variation on Quantile-Kendall plots of Kendall’s tau and streamflow nonexceedance probabilities for each of the 365 days of a year. Trend assessment synthesis shows that, except for a few streamgages with relatively greater counts of statistically significant trends than others, the majority (about 93 percent) of individual trend tests indicate no trend in the streamflow and ecological metrics considered.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Pinyon–juniper (PJ) woodlands, one of the most extensive mature and old-growth woodland types in the Western United States, provide critical ecological, cultural, and economic benefits but face increasing threats from climate change, altered disturbance regimes, invasive species, and pests. We developed the PJ Woodland Climate Adaptation Management Menu, a decision support tool designed to guide adaptive, climate-informed management of PJ ecosystems, particularly within the Colorado Plateau ecoregion. The menu was created through an iterative, collaborative process involving literature review, integration of strategies from existing adaptation frameworks, and extensive input from scientists, land managers, and community partners during workshops and focus groups. The menu links specific, evidence-based approaches to each of six broad strategies, including soliciting community input, mitigating disturbance, enhancing and maintaining biodiversity, conserving ecotones, timing actions for optimal outcomes, and accepting climate-driven changes when appropriate. It is intended for use with the Adaptation Workbook to help managers connect local goals and climate vulnerabilities to tailored management tactics. Hypothetical scenarios demonstrate the menu’s application to contrasting PJ woodland conditions, from die-off events to old-growth maintenance. Lessons learned during development underscore the value of early stakeholder engagement, cross-sector collaboration, and balancing diverse ecological objectives. This menu offers a flexible, transferable framework to strengthen climate resilience in PJ woodlands and serves as a model that could improve adaptation planning in other dryland forest ecosystems.
","language":"English","publisher":"MDPI","doi":"10.3390/f17050554","usgsCitation":"Gray, J., Slate, M.L., Ennis, A., Peterson, C., Bradford, J., Noel, A.R., Duniway, M.C., Bishop, T.B., Barrett, I.P., Domschke, C., Humphries, J.T., and Barger, N.N., 2026, Building resilience in dryland ecosystems: A climate adaptation strategy menu for pinyon–juniper woodlands: Forests, v. 17, no. 5, 554, 27 p., https://doi.org/10.3390/f17050554.","productDescription":"554, 27 p.","ipdsId":"IP-184031","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f17050554","text":"Publisher Index Page"},{"id":503930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, Jesse","contributorId":371077,"corporation":false,"usgs":false,"family":"Gray","given":"Jesse","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":960955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slate, Mandy L.","contributorId":335942,"corporation":false,"usgs":false,"family":"Slate","given":"Mandy","email":"","middleInitial":"L.","affiliations":[{"id":80588,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH, 43210 USA","active":true,"usgs":false}],"preferred":false,"id":960956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ennis, Alyson","contributorId":352211,"corporation":false,"usgs":false,"family":"Ennis","given":"Alyson","affiliations":[],"preferred":false,"id":960957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Courtney","contributorId":291807,"corporation":false,"usgs":false,"family":"Peterson","given":"Courtney","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noel, Adam Roy 0000-0002-0891-4005","orcid":"https://orcid.org/0000-0002-0891-4005","contributorId":294761,"corporation":false,"usgs":true,"family":"Noel","given":"Adam","email":"","middleInitial":"Roy","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bishop, Tara B.","contributorId":360618,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara","middleInitial":"B.","affiliations":[{"id":86058,"text":"Utah Valley University, Department of Earth Science, Orem, UT, USA","active":true,"usgs":false}],"preferred":false,"id":960962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barrett, Ian P.","contributorId":360597,"corporation":false,"usgs":false,"family":"Barrett","given":"Ian","middleInitial":"P.","affiliations":[{"id":86049,"text":"Bureau of Land Management, National Interagency Fire Center, Boise ID","active":true,"usgs":false}],"preferred":false,"id":960963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Domschke, Chris","contributorId":267281,"corporation":false,"usgs":false,"family":"Domschke","given":"Chris","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":960964,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Humphries, Joel T.","contributorId":270937,"corporation":false,"usgs":false,"family":"Humphries","given":"Joel","email":"","middleInitial":"T.","affiliations":[{"id":56221,"text":"US Bureau of Land Management, Colorado State Office, Lakewood, CO 80215, USA","active":true,"usgs":false}],"preferred":false,"id":960965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Barger, Nicole N.","contributorId":196430,"corporation":false,"usgs":false,"family":"Barger","given":"Nicole","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":960966,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70275662,"text":"70275662 - 2026 - Nest site and habitat changes over 15 years in a predicted climate refugium in Beluga, AK, USA, have a positive impact on Hudsonian godwit (Limosa haemastica) nest survival","interactions":[],"lastModifiedDate":"2026-05-07T14:50:17.396624","indexId":"70275662","displayToPublicDate":"2026-04-30T09:44:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nest site and habitat changes over 15 years in a predicted climate refugium in Beluga, AK, USA, have a positive impact on Hudsonian godwit (Limosa haemastica) nest survival","title":"Nest site and habitat changes over 15 years in a predicted climate refugium in Beluga, AK, USA, have a positive impact on Hudsonian godwit (Limosa haemastica) nest survival","docAbstract":"Climate change is transforming the Arctic and sub-Arctic at a pace that threatens many taxa with population declines and extinction. However, some habitats–such as muskeg bogs–can serve as climatic refugia and lessen the effects of a changing climate on the species that rely on them. Hudsonian Godwits (Limosa haemastica) are a species of migratory shorebird that utilizes the muskeg bogs of Alaska and Canada to breed. Our study focused on a muskeg bog in Beluga, Alaska, USA to see if it had changed from 2009 to 2023, if the availability of Godwit nests sites in the bogs changed in concert, and if Godwit nest survival was affected by any of these changes. We found that, overall, the bog dried and became more vegetated, with the proportional cover of graminoids, shrubs, and forbs all increasing during our study. Godwit nest sites also changed, with the proportion of shrubs and graminoids around nests increasing over time. Nonetheless, these changes did not negatively impact Godwit nest survival. Instead, nest survival increased ~ 22% during our study period, and we observed no decline in the number of potential nests sites available to Godwits. Taken together, these results suggest that while muskeg bogs are changing, they are also currently acting as climate refugia for Godwits. However, it is unclear for how long muskeg bogs can continue to buffer Godwits and other species from the effects of climate change.
","language":"English","publisher":"Springer","doi":"10.1007/s00300-026-03489-8","usgsCitation":"Smith, E., Swift, R.J., Courtemanche, A., Huang, F., Pelton, M.M., Puleo, L., Simmonds, J., Waller, M., Walton, H., Weissburg, C., Wilde, L.R., and Senner, N.R., 2026, Nest site and habitat changes over 15 years in a predicted climate refugium in Beluga, AK, USA, have a positive impact on Hudsonian godwit (Limosa haemastica) nest survival: Polar Biology, v. 49, 47, https://doi.org/10.1007/s00300-026-03489-8.","productDescription":"47","ipdsId":"IP-182024","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":504087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Beluga","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.1516898202142,\n 61.23896112663158\n ],\n [\n -150.95964132905272,\n 61.23896112663158\n ],\n [\n -150.95964132905272,\n 61.12105149361793\n ],\n [\n -151.1516898202142,\n 61.12105149361793\n ],\n [\n -151.1516898202142,\n 61.23896112663158\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Eden","contributorId":371234,"corporation":false,"usgs":false,"family":"Smith","given":"Eden","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":961332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courtemanche, Anna","contributorId":371235,"corporation":false,"usgs":false,"family":"Courtemanche","given":"Anna","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":961334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Feipeng","contributorId":371089,"corporation":false,"usgs":false,"family":"Huang","given":"Feipeng","affiliations":[{"id":88085,"text":"Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":961335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pelton, Mary Margaret","contributorId":371236,"corporation":false,"usgs":false,"family":"Pelton","given":"Mary","middleInitial":"Margaret","affiliations":[{"id":88108,"text":"Belle W. Baruch Institute for Marine and Coastal Sciences","active":true,"usgs":false}],"preferred":false,"id":961336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puleo, Lauren","contributorId":371093,"corporation":false,"usgs":false,"family":"Puleo","given":"Lauren","affiliations":[{"id":88085,"text":"Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":961337,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simmonds, Josiah","contributorId":371237,"corporation":false,"usgs":false,"family":"Simmonds","given":"Josiah","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":961338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waller, Matthew","contributorId":371238,"corporation":false,"usgs":false,"family":"Waller","given":"Matthew","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":961339,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walton, Hannah","contributorId":371239,"corporation":false,"usgs":false,"family":"Walton","given":"Hannah","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":961340,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weissburg, Casey","contributorId":371240,"corporation":false,"usgs":false,"family":"Weissburg","given":"Casey","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":961341,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wilde, Luke R.","contributorId":371241,"corporation":false,"usgs":false,"family":"Wilde","given":"Luke","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":961342,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Senner, Nathan R.","contributorId":371242,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","middleInitial":"R.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":961343,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70275370,"text":"70275370 - 2026 - Evaluating approximations of river channel shape using a national cross section database","interactions":[],"lastModifiedDate":"2026-05-01T14:00:47.462328","indexId":"70275370","displayToPublicDate":"2026-04-30T08:57:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating approximations of river channel shape using a national cross section database","docAbstract":"Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate various approximations of channel shape. After screening and pre-processing these data, we fit four model types to each XS, including a new approach that involves Stacking PDFs (probability density functions) to Approximate River Channel Shapes (SPARCS). This framework produced depth estimates that closely matched field measurements, with typical cross-sectional area errors <1% and a median R2 of 0.77 for comparison of observed and predicted depths. SPARCS model parameters can be interpreted in terms of channel characteristics: mean depth, asymmetry, bar convexity, and flatness of the bed. The model performed well for the XS included in the database, which was biased toward straight, uniform channels conducive to operational streamflow measurement. Neither model parameters nor accuracy were dependent on discharge. We also assessed the potential of SPARCS to fill in measurement gaps and found that although the model can help, the accuracy of inferred depths decreased as the observable fraction of the channel decreased. An important limitation of SPARCS is that mid-channel bars or multi-threaded morphologies cannot be produced. Graphical tools can help visualize how model parameters affect simulated river forms. SPARCS could facilitate satellite-based discharge estimation by providing prior information on channel shape.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041177","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2026, Evaluating approximations of river channel shape using a national cross section database: Water Resources Research, v. 62, no. 5, e2025WR041177, 35 p., https://doi.org/10.1029/2025WR041177.","productDescription":"e2025WR041177, 35 p.","ipdsId":"IP-179311","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041177","text":"Publisher Index Page"},{"id":503881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":960758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960759,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275718,"text":"70275718 - 2026 - Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”","interactions":[],"lastModifiedDate":"2026-05-15T13:15:07.488526","indexId":"70275718","displayToPublicDate":"2026-04-30T08:34:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”","docAbstract":"Transport of terrigenic sediment from nontidal watersheds into estuaries has important impacts on coastal habitat quality, pollutant transport, and resilience to sea-level rise. However, relatively little is known about changes in suspended sediment as nontidal rivers encounter tide, transition into tidal rivers through the tidal freshwater zone (TFZ), and enter saline portions of estuaries. The goal of this paper is to identify spatial and temporal patterns in suspended sediment concentration (SS) changes across tidal and salinity gradients over multiple tidal rivers, using a robust monitoring long-term dataset from the Chesapeake Bay. The multiple TFZs in the Chesapeake Bay consistently have a “sediment shadow” shown by a local spatial minimum in SS compared to upstream nontidal and downgradient oligohaline river reaches. Similarly, freshwater inputs from nontidal rivers have diminishing influence on tidal SS temporal dynamics with distance downstream from the head-of-tide. Therefore, little of the contemporary watershed sediment load is likely transported past the TFZ except during extreme floods when some sediment may be delivered to saline portions of the estuary. Tidal freshwater and brackish portions of the estuary have spatially variable trends in SS over time, both increases and decreases. However, the more saline downstream ends of tidal rivers and the mainstem of the Chesapeake Bay have had a consistent average 25% decline in SS over the past decades. In summary, the presence of “sediment shadows” suggests watershed loads of sediment are currently mostly not transported through the TFZ into the saline estuary, and likely generate sediment deficits for tidal freshwater wetlands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2026.109931","usgsCitation":"Noe, G.E., Murphy, R., and Krauss, K., 2026, Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”: Estuarine, Coastal and Shelf Science, v. 337, 109931, 14 p., https://doi.org/10.1016/j.ecss.2026.109931.","productDescription":"109931, 14 p.","ipdsId":"IP-178405","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":504324,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504375,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2026.109931","text":"Publisher Index Page"}],"country":"United States","state":"Delaware, Maryland, Pennsylvania","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 40\n ],\n [\n -75.2,\n 40\n ],\n [\n -75.2,\n 37\n ],\n [\n -78,\n 37\n ],\n [\n -78,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"337","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Rebecca","contributorId":331418,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":961523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":210857,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275365,"text":"70275365 - 2026 - Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","interactions":[],"lastModifiedDate":"2026-05-01T14:59:05.281901","indexId":"70275365","displayToPublicDate":"2026-04-30T07:52:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","docAbstract":"Human settlements are increasingly being impacted by urban fires initiated by wildfires. Metrics such as area burned and number of structures destroyed are important, but research often overlooks the socio-ecological complexity of urban fires. We study the impacts of the 2025 Los Angeles fires on two communities at the neighborhood and residential parcel scales. Geospatial analyses and econometric modeling explore the relationships between urban morphology, socio-demographic factors, and home destruction. Here we show that socio-ecological characteristics and scale are key in parsing the dynamics of urban fires. Also, new socio-demographic populations are being affected and urban morphology metrics are more important than vegetation cover. Despite parallels with 19th and early 20th century urban conflagrations, understanding these re-emerging urban fires requires transdisciplinary approaches and unique metrics. Investigating the socio-ecological scales and dynamics of urban fires provides a valuable next step towards understanding and adapting to the risk associated with these disasters.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-026-71376-1","usgsCitation":"Norlen, C.A., Sharma, S., and Escobedo, F.J., 2026, Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes: Nature Communications, v. 17, 3941, 12 p., https://doi.org/10.1038/s41467-026-71376-1.","productDescription":"3941, 12 p.","ipdsId":"IP-180700","costCenters":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"links":[{"id":504163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-71376-1","text":"Publisher Index Page"},{"id":503888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Eaton, Palisades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.43544529821688,\n 34.248989931303086\n ],\n [\n -118.43544529821688,\n 33.55012105378101\n ],\n [\n -117.27431517058712,\n 33.55012105378101\n ],\n [\n -117.27431517058712,\n 34.248989931303086\n ],\n [\n -118.43544529821688,\n 34.248989931303086\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norlen, Carl August 0000-0003-1363-9930","orcid":"https://orcid.org/0000-0003-1363-9930","contributorId":370758,"corporation":false,"usgs":true,"family":"Norlen","given":"Carl","middleInitial":"August","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":960735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sadikshya","contributorId":370759,"corporation":false,"usgs":false,"family":"Sharma","given":"Sadikshya","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Escobedo, Francisco J.","contributorId":370760,"corporation":false,"usgs":false,"family":"Escobedo","given":"Francisco","middleInitial":"J.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275267,"text":"sir20265132 - 2026 - Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","interactions":[],"lastModifiedDate":"2026-05-01T16:44:17.159946","indexId":"sir20265132","displayToPublicDate":"2026-04-29T11:00:00","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":"2026-5132","displayTitle":"Hydrologic Investigation of Water Level Fluctuations at Moreau Lake, Moreau Lake State Park, Town of Moreau, New York","title":"Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","docAbstract":"The causes of water level fluctuations at Moreau Lake, within Moreau Lake State Park in the town of Moreau, New York, were investigated from 2016 to 2021 after lake water levels dropped between 2015 and 2016, raising concerns about the loss of a shallow swimming area at the park beach. Annual variation in precipitation records from the area did not account for the lake water level decline. Two possible causes for the low lake water levels were investigated: the increase in groundwater withdrawals from new residential development since about 2000 and seasonal changes (nongrowing and growing seasons) in precipitation.
Investigation of the potential effects of nearby groundwater withdrawals required the compilation and collection of well-log data, seismic surveys, and measurements of lake and groundwater levels, field chemical parameters, and water isotopes to define the hydrogeologic system and to estimate water use. The net result of this work was the determination that Moreau Lake is a “flow though” lake with no surface water outlet; groundwater enters the lake on the upgradient side and exits through the downgradient side, however, groundwater does not flow southward from the lake toward nearby groundwater withdrawals from the semiconfined aquifer, and thus groundwater withdrawals were unlikely to have an effect on lake water levels.
Investigation of the historic precipitation records during nongrowing (November through April) and growing (May through October) indicated that (1) nongrowing season precipitation from 2011–12 to 2015–16 was more deficient than any similar period during the past 78 years and (2) since about 2000, nongrowing seasons have been drier overall and growing seasons have been considerably wetter. Initiation of lake water level monitoring in 2016 provided an opportunity to compare seasonal precipitation with seasonal lake water level changes. Nongrowing season lake water levels are very sensitive to precipitation, such that high precipitation (40 percent above the seasonal median) resulted in a 5-foot rise in lake water level. In contrast, the growing season lake water levels are sensitive to dry conditions; for example, deficient rainfall (about 6 percent below the seasonal median) resulted in a decline of lake water levels of about 3.5 feet. However, lake water levels are insensitive to high growing season rainfall inputs (about 10 to 47 percent above the seasonal median); lake water levels consistently declined about by 0.8 feet above this range of seasonal excessive precipitation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265132","collaboration":"Prepared in cooperation with New York State Department of Parks, Recreation and Historic Preservation","usgsCitation":"Heisig, P.M., 2026, Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York: U.S. Geological Survey Scientific Investigations Report 2026–5132, 55 p., https://doi.org/10.3133/sir20265132.","productDescription":"Report: viii, 55 p., 3 Data Releases","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148237","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503535,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5132/coverthb.jpg"},{"id":503899,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119387.htm","linkFileType":{"id":5,"text":"html"}},{"id":503541,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R49VRO","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings and depth-to-bedrock data for the Moreau Lake area, town of Moreau, N.Y."},{"id":503540,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K0LSHJ","text":"USGS data release","linkHelpText":"Hydrologic data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503539,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JPZ1R5","text":"USGS data release","linkHelpText":"Geospatial data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503538,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5132/images"},{"id":503537,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.XML","description":"SIR 2026-5132 XML"},{"id":503536,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265132/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5132 HTML"},{"id":503534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.pdf","text":"Report","size":"36.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5132 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Moreau Lake, Moreau Lake State Park, Town of Moreau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.7367112856191,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.25254327180468\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Understanding the distributions of rare species is necessary to guide monitoring and inform species recovery efforts. The rusty patched bumble bee (RPBB; Bombus affinis, Cresson) is an endangered species with an extant, known distribution centered around urban areas of the Midwestern United States. We tested a novel approach for finding undocumented RPBBs outside of urban centers and estimated the species occurrence at two scales that are relevant to management. We confirmed presence of RPBBs at 54% of the sampled 100 km2 grid cells where the species was previously undocumented, expanding the species’ known distribution by 5700 km2. After accounting for imperfect detection, our occupancy model estimated the number of occupied grid cells was 67 of 105 sampled grids, suggesting our methods were effective for finding undiscovered RPBB sites. Occupancy within 100 km2 grids was positively related to the number of occupied neighboring units but was not related to the area of developed land within 100km2 grid cells or smaller subunits (i.e. 3.14 ha patches or roadside transects). We highlight the utility of our approach for guiding future survey efforts by identifying an additional 145 grid cells where the occupancy status of RPBB is unknown but we predict a relatively high likelihood of RPBB occurrence. Our approach can be extended to find undiscovered RPBB sites in other areas and applied to other bee species where occurrence information is lacking outside of their core distribution.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-46861-8","usgsCitation":"Otto, C., Schrage, A.C., Lothspeich, A., Bailey, L., Smith, T., Planman, R., Cardin, J., Ellis, K.S., Dennis, B., and Grundel, R., 2026, A hierarchical approach for finding undiscovered populations of an endangered bumble bee: Scientific Reports, v. 16, 13759, 12 p., https://doi.org/10.1038/s41598-026-46861-8.","productDescription":"13759, 12 p.","ipdsId":"IP-181147","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":504215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-46861-8","text":"Publisher Index Page"},{"id":504089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa. Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.08828853395633,\n 46.763583773695586\n ],\n [\n -87.05663513249607,\n 46.763583773695586\n ],\n [\n -87.05663513249607,\n 41.46394878090919\n ],\n [\n -95.08828853395633,\n 41.46394878090919\n ],\n [\n -95.08828853395633,\n 46.763583773695586\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrage, Alma Christa 0000-0002-7388-6979","orcid":"https://orcid.org/0000-0002-7388-6979","contributorId":363227,"corporation":false,"usgs":true,"family":"Schrage","given":"Alma","middleInitial":"Christa","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lothspeich, Audrey Claire 0000-0002-5460-6142","orcid":"https://orcid.org/0000-0002-5460-6142","contributorId":355935,"corporation":false,"usgs":true,"family":"Lothspeich","given":"Audrey Claire","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Larissa L.","contributorId":337882,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":961300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Tamara","contributorId":351890,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":961301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Planman, Robert","contributorId":371218,"corporation":false,"usgs":false,"family":"Planman","given":"Robert","affiliations":[{"id":88106,"text":"WI Bee3","active":true,"usgs":false}],"preferred":false,"id":961302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cardin, Judy","contributorId":371244,"corporation":false,"usgs":false,"family":"Cardin","given":"Judy","affiliations":[],"preferred":false,"id":961351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961303,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dennis, Bethany","contributorId":371245,"corporation":false,"usgs":false,"family":"Dennis","given":"Bethany","affiliations":[],"preferred":false,"id":961352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961304,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276258,"text":"70276258 - 2026 - Aligning legacy NLCD land cover maps based on Landsat Collection 1 to Collection 2","interactions":[],"lastModifiedDate":"2026-05-21T14:40:45.36203","indexId":"70276258","displayToPublicDate":"2026-04-29T09:37:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Aligning legacy NLCD land cover maps based on Landsat Collection 1 to Collection 2","docAbstract":"The transition from Landsat Collection 1 to Collection 2 introduced significant improvements in radiometric and geometric accuracy. However, the improvements cause location misalignment between the existing Landsat-derived land cover products and the new collection. The legacy National Land Cover Database (NLCD) has been used as a cornerstone land cover source for a variety of research. Therefore, a method aligning the legacy NLCD product to Collection 2 is required to ensure its continuity and consistency of service. We developed a strategy to not only align legacy NLCD to match new Collection 2 geometric locations but also improve land cover labeling in the region that was affected by the geometric shifts. The method identifies boundary pixels of homogeneous land cover patches as potential problem areas that are likely impacted by geometric shifts and generates candidate labels from 3 × 3 window with the target pixel at the center and segmentation-derived majority label. Standard phenology patterns of each candidate land cover type are established based on the random samples except boundary pixels within a 1000-pixels × 1000-pixels processing window region. The phenological distance to each standard land cover type pattern is calculated through a penalty dynamic time warping (DTW) method for each target pixel in the boundary region. Finally, the method determines the most suitable label based on the phenological distance from the candidate labels. Both visual and accuracy assessment results demonstrate that the alignment preserves the overall land cover patterns in the original legacy NLCD product while reducing the spatial discrepancies between the Landsat Collection 2 and land cover. In addition, it enhances the accuracy of land cover labeling of boundary pixels. The overall accuracy (OA) was increased by 7% in the land cover boundary regions after alignment. The quality and confusion matrix comparison between the alignment results and the original legacy NLCD confirm the reliability of the method. Our alignment method has the potential to serve as a framework for aligning other Landsat-derived land cover products to future collections.
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Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5129","displayTitle":"Shallow Hydrogeologic Framework of the Tully Valley Mudboil Area, Onondaga County, New York","title":"Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York","docAbstract":"Mudboils have been documented in the Tully Valley in southern Onondaga County, New York, since the late 1890s. Sediment-laden water from the mudboils flows into Onondaga Creek, which empties into Onondaga Lake at Syracuse 15 miles to the north. Turbidity from the mudboils has degraded the water quality of Onondaga Creek despite a series of mitigation efforts that began in the early 1990s. Turbidity mitigation actions presently (2025) being considered include creek relocation and offline sediment settling. In support of these proposed actions during 2021–23, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board, collected and analyzed geologic, hydrologic, geophysical, and geotechnical data to characterize the shallow hydrogeology along four proposed creek-relocation paths and in the proposed offline settling basin area.
The investigation indicated that the four proposed creek-relocation paths, two east of Onondaga Creek and two west of Onondaga Creek, are underlain by sediments including muck, alluvium, mudboil deposits, alluvial-fan sand and gravel, and lacustrine fines. The proposed excavations would penetrate partially to fully saturated conditions: generally, the water table is shallow near the creek and deep on the alluvial fans. The shallowest excavation, about 5 feet below land surface, would be near the creek and primarily in alluvium, and the deepest excavation, as much as 30 feet below land surface, would be in the alluvial-fan deposits. Brackish waters would be penetrated by proposed channel excavations on the eastern side of Onondaga Creek in an area downgradient from a potentially leaking historical salt-exploration borehole and near the main mudboil area. Excavation in these areas likely would provide a continuous source of brackish groundwater to the relocated creek. Proposed channel excavations of muck, soft to very soft lacustrine fines, and mudboil-type sediments in mudboil and suspected mudboil areas would pose an excavation and slope stability challenge and would have the greatest potential to create new mudboils. Proposed channel excavations below the water table on the Rattlesnake Gulf and Rainbow Creek alluvial fans would intercept groundwater and make the constructed streambank susceptible to seepage-induced slope instability. The substantial water-level fluctuation in the sediments of both alluvial fans would aggravate the stability condition. In addition, excavation on the Rattlesnake Gulf alluvial fan would have the potential to affect water-supply springs at the toe of the fan.
The proposed offline settling basin area is in the northern part of the Rattlesnake Gulf alluvial fan. Natural and man-made diversions of Rattlesnake Gulf have resulted in saturated conditions in the general area of the proposed basin. The proposed offline settling basin would be excavated in, and berms would be constructed on, alluvial-fan deposits and lacustrine fines. In the proposed basin area, the alluvial deposits overlying the lacustrine fines are less than 10 feet thick. Excavation, berm construction, and loading of the saturated, soft to very soft lacustrine fines may be problematic and require soil strengthening.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265129","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board","usgsCitation":"Williams, J.H., Terry, N.C., Kappel, W.M., Heisig, P.M., Glas, R.L., and Woda, J.C., 2026, Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2026–5129, 58 p., https://doi.org/10.3133/sir20265129.","productDescription":"Report: ix, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160204","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503898,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119386.htm","linkFileType":{"id":5,"text":"html"}},{"id":502792,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5129/images"},{"id":502793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P149P35X","text":"USGS data release","linkHelpText":"Surface-geophysical, geotechnical, hydraulic-slug test, specific conductance, and geospatial data for shallow hydrogeologic investigations of the Tully Valley mudboil area, Onondaga County, New York"},{"id":502791,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.XML","description":"SIR 2026-5129 XML"},{"id":502790,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265129/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5129 HTML"},{"id":502789,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5129/coverthb2.jpg"},{"id":502786,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5129 PDF"}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Tully Valley Mudboil Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.30484467796983,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 43.13842576064047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Laminated soil carbonate rinds are a Quaternary paleoclimate archive whose isotope composition is linked to soil formation conditions. At Rio Mesa, Utah (USA), we investigated the fidelity of rind records in a river terrace setting by determining the seasonal timing of rind formation and testing for inter-record replication. We infer soil carbonate formed in the spring season, contrasting with our prior inference of summer formation at Teasdale, Utah, ≈200 km distant. This apparent discrepancy occurs because of differences in the timing of the largest annual infiltration (spring vs. summer). At Rio Mesa, modern soil data show that soil carbonate δ13C would have high values (−2 to 2‰ VPDB) regardless of seasonal activity of C3 versus C4 plants because respiration rate is a strong control. We accordingly suggest reassessment of published records interpreting soil carbonate δ13C only via C3 versus C4 plant abundance. Three rind δ13C and δ18O records generally replicated. Intriguingly, rind δ13C may inversely correlate with summer insolation, evidence for global-scale influence on soils. Rind δ18O is not as clearly correlated with published western USA paleoclimate records, potentially due to regional differences in climate and because rinds record soil-specific processes. Our results support the fidelity of the soil carbonate rind paleoarchive and suggest that because rind formation seasonality is intimately tied to infiltration seasonality, spatial transects of rind records might be used to delineate boundaries between areas dominated by spring and summer infiltration, permitting reconstruction of the geographic extent of large-scale hydrologic phenomena such as the North American Monsoon.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012660","usgsCitation":"Huth, T.E., Cerling, T.E., Marchetti, D.W., Ellwein, A.L., Mahan, S.A., Bowling, D.R., Passey, B.H., Polyak, V.J., and Asmerom, Y., 2026, Springtime formation of laminated soil carbonate rinds and changes in fluvial terrace soils on orbital timescales at Rio Mesa, Utah, USA: Geochemistry, Geophysics, Geosystems, v. 27, no. 5, e2025GC012660, 20 p., https://doi.org/10.1029/2025GC012660.","productDescription":"e2025GC012660, 20 p.","ipdsId":"IP-179258","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504152,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012660","text":"Publisher Index Page"},{"id":504055,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EMTYG","text":"USGS data release","linkHelpText":"Luminescence data for: Springtime Formation of Laminated Soil Carbonate Rinds and Changes in Fluvial Terrace Soils on Orbital Timescales at Rio Mesa, Utah, USA"},{"id":503670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Rio Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.19947650382221,\n 38.81144940086827\n ],\n [\n -109.15369813510924,\n 38.81144940086827\n ],\n [\n -109.15369813510924,\n 38.77688465318985\n ],\n [\n -109.19947650382221,\n 38.77688465318985\n ],\n [\n -109.19947650382221,\n 38.81144940086827\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Huth, Tyler E. 0000-0002-3436-7009","orcid":"https://orcid.org/0000-0002-3436-7009","contributorId":370676,"corporation":false,"usgs":false,"family":"Huth","given":"Tyler","middleInitial":"E.","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":960678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerling, Thure E.","contributorId":370677,"corporation":false,"usgs":false,"family":"Cerling","given":"Thure","middleInitial":"E.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchetti, David W.","contributorId":370678,"corporation":false,"usgs":false,"family":"Marchetti","given":"David","middleInitial":"W.","affiliations":[{"id":6693,"text":"Western State Colorado University","active":true,"usgs":false}],"preferred":false,"id":960680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellwein, Amy L. 0000-0003-3591-6601","orcid":"https://orcid.org/0000-0003-3591-6601","contributorId":370679,"corporation":false,"usgs":false,"family":"Ellwein","given":"Amy","middleInitial":"L.","affiliations":[{"id":49195,"text":"Rocky Mountain Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":960681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowling, David R.","contributorId":370684,"corporation":false,"usgs":false,"family":"Bowling","given":"David","middleInitial":"R.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Passey, Benjamin H.","contributorId":370685,"corporation":false,"usgs":false,"family":"Passey","given":"Benjamin","middleInitial":"H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":960684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Polyak, Victor J.","contributorId":370686,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","middleInitial":"J.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":960685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Asmerom, Yemane","contributorId":295388,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":960686,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275363,"text":"70275363 - 2026 - Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","interactions":[],"lastModifiedDate":"2026-05-01T13:56:46.724745","indexId":"70275363","displayToPublicDate":"2026-04-29T08:52:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","docAbstract":"Chronic wasting disease (CWD) is a prion disease of cervids that spreads to uninfected individuals through direct transmission (contact with infected individuals), vertical transmission (from mother to offspring), or indirect transmission (exposure to contaminated environments). The risk of indirect transmission is unevenly distributed on the landscape, and risk levels are expected to be controlled by patterns of habitat use by infected and uninfected individuals as well as environmental properties that alter the length of time prions remain infectious and available for uptake. Despite evidence from controlled or laboratory studies identifying environmental properties likely to affect patterns of CWD prion locations on the landscape, it remains difficult to connect mechanisms to realized increased or decreased risk of disease transmission, and few studies have attempted to detect patterns of different CWD risk in different environments. Using data from GPS-collared mule deer in Wyoming that were CWD-tested annually, we constructed models predicting annual probability of disease transmission contingent on environmental properties extracted from GPS use points. We compared models that emphasized different pathways of disease transmission by including or excluding sets of covariates that described deer density, habitat selection, and covariates expected to affect prion persistence in the environment. Results indicated that key habitat characteristics often selected by mule deer, such as proximity to secondary roads, were also associated with higher risk of testing positive for CWD, which supports the hypothesis that disease risk was correlated to patterns of habitat use by deer. We also found increased risk associated with spatial properties that were not selected-for by deer, such as areas where topography collects moisture, suggesting that prion retention mechanisms also play a role in risk. Incorporating these spatially-varying risk factors into our understanding of CWD transmission and outbreak progression can support managers in designing data collection and disease management strategies.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0346077","usgsCitation":"Christensen, E.M., Kleist, N.J., Edmunds, D.R., Heinrichs, J., Saher, D., Whipple, A.L., DeVivo, M., and Aldridge, C.L., 2026, Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics: PLoS ONE, v. 21, no. 4, e0346077, 24 p., https://doi.org/10.1371/journal.pone.0346077.","productDescription":"e0346077, 24 p.","ipdsId":"IP-179327","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504156,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0346077","text":"Publisher Index Page"},{"id":504056,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1K3QFC8","text":"USGS data release","linkHelpText":"Raster maps of relative risk of chronic wasting disease transmission based on environmental covariates for the South Converse Mule Deer Herd, Converse County, Wyoming"},{"id":503880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.91552517753678,\n 43.139560980857084\n ],\n [\n -104.18803524946959,\n 43.139560980857084\n ],\n [\n -104.18803524946959,\n 41.60389872904699\n ],\n [\n -106.91552517753678,\n 41.60389872904699\n ],\n [\n -106.91552517753678,\n 43.139560980857084\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Erica Meta 0000-0002-5635-2502","orcid":"https://orcid.org/0000-0002-5635-2502","contributorId":370740,"corporation":false,"usgs":true,"family":"Christensen","given":"Erica","middleInitial":"Meta","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saher, D. Joanne 0000-0002-2452-2570","orcid":"https://orcid.org/0000-0002-2452-2570","contributorId":288928,"corporation":false,"usgs":false,"family":"Saher","given":"D. 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Leveraging >55,000 reported landslides from across the United States (U.S.), we used circular statistics to quantify landslide seasonality in 67 National Weather Service County Warning Areas (CWAs). We found regional differences in landslide season timing and duration, with transitions between domains variably corresponding to climate class or river basin. We assessed differences in seasonality by movement type for slides, flows, and falls, detecting apparent, but uncertain, differences between slide and fall seasonalities in 27 of 35 (77%) of CWAs with both types reported. In the Pacific Northwest, where long records exist, we found a credible shift toward a later mean landslide season in western Washington from 1990 to 2020, but no trend in western Oregon. Our results can provide emergency planners a resource to assess seasonal landslide probability nationwide.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2026GL121707","usgsCitation":"Luna, L., Mirus, B.B., Collins, B.D., and Perkins, J.P., 2026, Asynchronous landslide seasonality across the United States: Geophysical Research Letters, v. 53, no. 9, e2026GL121707, 11 p., https://doi.org/10.1029/2026GL121707.","productDescription":"e2026GL121707, 11 p.","ipdsId":"IP-181257","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":504219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2026gl121707","text":"Publisher Index Page"},{"id":504093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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This study examines spatiotemporal trends in temperature (Tmean, Tmax, Tmin, and diurnal temperature range [DTR]) and precipitation across Kazakhstan’s transmountain regions using 74 meteorological stations (1981–2023). Data were analyzed using the Mann–Kendall test and Sen’s slope estimator, stratified across six elevation zones from lowlands (<400 m) to high mountains (>1500 m). Results reveal a robust, spatially coherent warming signal across all zones. Annual Tmean increased at a median rate of ~0.30 °C decade−1, peaking at 0.36 °C decade−1 above 1500 m, corresponding to an absolute increase exceeding 1.5 °C. Warming exhibited strong seasonal and diurnal asymmetries. Spring warmed most rapidly, with Tmean increasing >0.60 °C decade−1 (approaching 3 °C total). Winter warming was driven by Tmin increases (up to 0.44 °C decade−1), causing widespread DTR contraction, whereas summer warming was driven by Tmax increases, expanding DTR at higher elevations. Tmin showed the strongest elevation amplification overall. In stark contrast, precipitation trends were weak, spatially heterogeneous, and largely non-significant. Annual changes ranged from −6.63 to +14.35 mm decade−1, with seasonal tendencies indicating modest, non-significant winter/spring wetting and summer drying. Ultimately, the results demonstrate a profound decoupling between strong, elevation-dependent warming and weak precipitation changes. The acute amplification of temperature, particularly during spring and summer at high elevations, has severe implications for snowmelt timing, glacier mass balance, evapotranspiration demand, and long-term water security in Kazakhstan.
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