The U.S. Geological Survey, in cooperation with Idaho Power, developed streamflow- based regression models to estimate suspended sediment concentration (SSC) and loads on the Snake River at Weiser, Idaho site (U.S. Geological Survey streamgage 13269000; hereafter referred to as “Snake at Weiser site”). This site sits upstream from the dams and reservoirs of the Hells Canyon Complex and the Hells Canyon National Recreation Area, where large sandbars along the Snake River that provide recreation and riparian habitat and host archaeological resources have declined since 1973. Analyses of samples from historical (1977- 2003) and modern (2017- 22) periods show that SSC has decreased over time, with median concentrations declining from 50 milligrams per liter (mg/L) to 28 mg/L. Mann- Kendall trend tests confirm statistically significant declines in total SSC and the fine and sand fractions of suspended sediment through the full period of record.
Regression models specific to each period outperformed models using the full dataset, suggesting changes in the sediment supply to this reach of the Snake River and highlighting the need for period- based approaches. Regression models for total SSC and fine sediment were more accurate than those for sand, which exhibited greater error and bias, likely reflecting a sand supply limited by upstream dams. The regression model for modern period total SSC and a previously developed acoustic surrogate model showed similar performance, indicating both methods are viable for estimating SSC and loads.
These findings help to better quantify suspended sediment concentrations and loads upstream of the Hells Canyon Complex and provide resource managers with tools to better quantify sediment loads affecting reservoir storage and the maintenance of sandbars in the Hells Canyon National Recreation Area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265007","collaboration":"Prepared in cooperation with Idaho Power","usgsCitation":"Kenworthy, M.K., 2026, Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022: U.S. Geological Survey Scientific Investigations Report 2026–5007, 27 p., https://doi.org/10.3133/sir20265007.","productDescription":"Report: vi, 27 p.; 2 Data Releases","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173970","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":504272,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119409.htm","linkFileType":{"id":5,"text":"html"}},{"id":504016,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14KZNMK","text":"USGS data release","linkHelpText":"Suspended sediment dataset for development of regression models to estimate suspended sediment concentration and loads for the Snake River at Weiser, Idaho, 1977–2022"},{"id":504011,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5007/sir20265007.pdf","size":"4.25 MB","description":"SIR 2026-5007 PDF"},{"id":504015,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YT1GIC","text":"USGS data release","linkHelpText":"Model Archive Summary for acoustic derived suspended- sediment concentration at 13269000 Snake River at Weiser, ID"},{"id":504014,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5007/images/"},{"id":504013,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5007/sir20265007.XML","description":"SIR 2026-5007 XML"},{"id":504012,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265007/full","description":"SIR 2026-5007 HTML"},{"id":504010,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5007/coverthb.jpg"}],"country":"United States","state":"Idaho, Nevada, Oregon, Utah","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 45.5\n ],\n [\n -113,\n 45.5\n ],\n [\n -113,\n 41\n ],\n [\n -119,\n 41\n ],\n [\n -119,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, Idaho 83702-4520
In September 2021, National Park Service staff, U.S. Geological Survey scientists, and an international team of researchers revealed evidence in the form of human footprints at White Sands National Park, New Mexico, that showed people were present in North America between 23,000 and 21,000 years ago. This time was during the Last Glacial Maximum, when large ice sheets covered much of the continent. The results stunned the scientific community and sparked a global debate. The story of how the discoveries were made, how they upended traditional thought, and how they “rewrote the book” on the earliest phases of North American prehistory is a classic example of the process of science.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253046","collaboration":"Prepared in cooperation with National Park Service","usgsCitation":"Springer, K.B., Pigati, J.S., Bustos, D., Urban, T.M., and Bennett, M.R., 2026, Fossil footprints and Ice Age ecosystems of White Sands National Park: U.S. Geological Survey Fact Sheet 2025-3046, 4 p., https://doi.org/10.3133/fs20253046.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-177481","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":503941,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3046/coverthb.jpg"},{"id":503942,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3046/fs20253046.pdf","text":"Report","size":"1.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3046"},{"id":504017,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3046/images"},{"id":504018,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3046/fs20253046.xml"},{"id":504111,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253046/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3046"}],"country":"United States","state":"New Mexico","otherGeospatial":"White Sands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.50247040524931,\n 32.88598162330949\n ],\n [\n -106.11338464579849,\n 32.88598162330949\n ],\n [\n -106.11338464579849,\n 32.64753255908184\n ],\n [\n -106.50247040524931,\n 32.64753255908184\n ],\n [\n -106.50247040524931,\n 32.88598162330949\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225
This fact sheet summarizes the discovery, documentation, and publication of scientific results related to ancient human footprints at White Sands National Park that showed humans were present in North America during the Last Glacial Maximum.
","publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bustos, David","contributorId":265969,"corporation":false,"usgs":false,"family":"Bustos","given":"David","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":960822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urban, Thomas M.","contributorId":370870,"corporation":false,"usgs":false,"family":"Urban","given":"Thomas","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":960823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Matthew R.","contributorId":370871,"corporation":false,"usgs":false,"family":"Bennett","given":"Matthew","middleInitial":"R.","affiliations":[{"id":48716,"text":"Bournemouth University","active":true,"usgs":false}],"preferred":false,"id":960824,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275237,"text":"sir20265135 - 2026 - Water use in Louisiana, 2020","interactions":[],"lastModifiedDate":"2026-05-11T17:02:38.301144","indexId":"sir20265135","displayToPublicDate":"2026-05-07T09:31:12","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":"2026-5135","displayTitle":"Water Use in Louisiana, 2020","title":"Water use in Louisiana, 2020","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Louisiana Department of Transportation and Development, collected water-withdrawal and water-use data from a 2020 inventory of water withdrawals in Louisiana. In 2020, approximately 8,700 million gallons per day (Mgal/d) of water was withdrawn from groundwater and surface-water sources in Louisiana, which represented a 0.22-percent decrease from 2015. Total groundwater withdrawals were about 1,900 Mgal/d, an increase of 7.1 percent from 2015, and total surface-water withdrawals were about 6,800 Mgal/d, a decrease of 2.1 percent from 2015 to 2020.
Total water withdrawals, in million gallons per day, in 2020 for the various categories of use were as follows: public supply, 720; industry, 2,100; power generation, 4,100; rural domestic, 39; livestock, 7.0; rice irrigation, 930; general irrigation, 250; and aquaculture, 590. From 2015 to 2020, Louisiana’s total withdrawals for public supply increased by 1.4 percent, industry decreased by 2.3 percent, power generation decreased by 4.9 percent, rural domestic decreased by 1.2 percent, livestock increased by 11 percent, rice irrigation increased by 13 percent, general irrigation increased by 12 percent, and aquaculture increased by 20 percent.
About 51 percent (approximately 960 Mgal/d) of all groundwater withdrawn was from the Chicot aquifer system and 24 percent (approximately 450 Mgal/d) was withdrawn from the Mississippi River alluvial aquifer. Since 2015, withdrawals from the Chicot aquifer system increased by 13 percent, and withdrawals from the Mississippi River alluvial aquifer increased by 18 percent. About 72 percent (4,900 Mgal/d) of all surface water withdrawn was from the Mississippi River main stem. This value represents a 1.1-percent decrease in withdrawals from 2015 to 2020.
All water-withdrawal and water-use data presented in this report should be considered estimates. Because of rounding, totals and percentages presented in the tables, figures, and text in the report may differ slightly from totals or percentages calculated individually.
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":"Provenance analysis is a powerful tool for investigating sediment delivery networks, constraining magmatic histories, and reconstructing the tectonic evolution of orogenic belts and basins. Basin analysis studies increasingly use detrital zircon (DZ) U-Pb forward mixture modeling to enhance provenance interpretations by quantifying the relative contributions of different sources. Forward mixture modeling requires significant a priori knowledge that limits deep-time applications. This challenge is overcome with an inverse mixture modeling approach non-negative matrix factorization to reconstruct the number and age distributions of paleo-source regions of Proterozoic metasedimentary rocks in the southwestern United States. This analysis indicates eight reconstructed end-member distributions representing unique sediment sources: two multi-modal end members characterized by ages older than ca. 1.8 Ga from cratonic Laurentia, five unimodal age distributions between ca. 1.80 Ga and 1.65 Ga consistent with Paleoproterozoic arc magmatic sources, and a ca. 1.6−1.5 Ga end member likely derived from exotic cratons in supercontinent Nuna (Columbia). Sediments deposited between ca. 1.80 Ga and 1.73 Ga yield heterogeneous age distributions suggesting multiple arc-backarc systems and several phases of slab roll back, contraction, and accretionary orogenesis, including input from pre−1.8 Ga Laurentian cratons. Homogenization of DZ signatures during the Yavapai orogeny (ca. 1.72−1.68 Ga) reflect crustal assembly as well as the uplift of Paleoproterozoic arcs in the orogenic hinterland. Detrital zircon age distributions from strata deposited during the Mazatzal orogeny (ca. 1.65−1.60 Ga) suggest the Mazatzal Province is a continental arc constructed on older crust. Mesoproterozoic samples are consistent with multiple basins derived from local recycling and long-distance sediment transport. Collectively, these data record the tectonic transition from the episodic accretion of disparate crustal domains to an increasingly integrated continental margin. These results provide new insights into the Proterozoic tectonic and paleogeographic evolution of the southwestern United States at basin to orogen scales and highlight the power of inverse DZ modeling to extract geologically meaningful quantitative mixture models from sedimentary records alone, offering a powerful tool for deep-time tectonic and basin analysis.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B38713.1","usgsCitation":"Hillenbrand, I.W., and Thomson, K.D., 2026, Reconstructing ancient sedimentary source-to-sink systems – Examples from southern Laurentia’s Proterozoic accretionary orogens: GSA Bulletin, https://doi.org/10.1130/B38713.1.","ipdsId":"IP-180279","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, New Mexico, Nevada, Texas, Utah, Wyoming","otherGeospatial":"southwestern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115,\n 45\n ],\n [\n -100,\n 45\n ],\n [\n -100,\n 30\n ],\n [\n -115,\n 30\n ],\n [\n -115,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomson, Kelly David 0000-0003-3378-1432","orcid":"https://orcid.org/0000-0003-3378-1432","contributorId":301019,"corporation":false,"usgs":true,"family":"Thomson","given":"Kelly","email":"","middleInitial":"David","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961945,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275677,"text":"70275677 - 2026 - Riverine pesticide trends in the United States: Assessing a decade of national-scale monitoring","interactions":[],"lastModifiedDate":"2026-05-11T14:19:13.789376","indexId":"70275677","displayToPublicDate":"2026-05-07T09:13:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24028,"text":"Environmental Science & Technology Water (ES&T Water)","active":true,"publicationSubtype":{"id":10}},"title":"Riverine pesticide trends in the United States: Assessing a decade of national-scale monitoring","docAbstract":"Pesticides in freshwater systems can compromise water availability by degrading water quality, with implications for human health and aquatic life. Despite recognition of the need for national-scale monitoring and analysis, few studies have documented long-term trends in surface water pesticide contamination across the US. This study addresses that need by analyzing temporal trends and acute and chronic benchmark exceedances for aquatic life and human health from 81 river sites sampled from 2013 to 2022 using an analytical method targeting 80 pesticides. The majority (79%) of single site and pesticide combinations had too few pesticide detections to estimate trends. When detections were more frequent, increasing trends in concentration were twice as common as decreasing trends. Increasing pesticide concentrations were common in primary drainages of the Mississippi River Basin. Aquatic life benchmarks were exceeded by 19 pesticides, and exceedances were geographically widespread, with both acute and chronic aquatic life benchmark exceedances at 62% of sites. The herbicides atrazine and metolachlor and the insecticide imidacloprid were identified as the greatest threats to surface water availability based on their trends and aquatic life benchmark exceedances. These findings demonstrate the need for continued monitoring and trend analysis, driver investigation, and management strategies to protect freshwater resources.
","language":"English","publisher":"American Chemical Society Publications","doi":"10.1021/acsestwater.5c01472","usgsCitation":"Shoda, M.E., Breitmeyer, S.E., Hinman, E., and Stackpoole, S.M., 2026, Riverine pesticide trends in the United States: Assessing a decade of national-scale monitoring: Environmental Science & Technology Water (ES&T Water), https://doi.org/10.1021/acsestwater.5c01472.","ipdsId":"IP-180524","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":504742,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13VFS7H","text":"USGS data release","linkHelpText":"A data pipeline for fetching, processing, and analyzing riverine surface water pesticide trends and benchmark comparisons across the United States (2013-2022)"},{"id":504360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":961388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinman, Elise Danica 0000-0001-5396-1583","orcid":"https://orcid.org/0000-0001-5396-1583","contributorId":356291,"corporation":false,"usgs":true,"family":"Hinman","given":"Elise Danica","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":961389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":211238,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275706,"text":"70275706 - 2026 - Life history traits and population dynamics of Freshwater Drum across large river gradients","interactions":[],"lastModifiedDate":"2026-05-13T14:10:53.539574","indexId":"70275706","displayToPublicDate":"2026-05-07T09:05:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Life history traits and population dynamics of Freshwater Drum across large river gradients","docAbstract":"Monitoring and assessment of nongame native fishes is limited, but conservation interest in these species is growing. Freshwater Drum Aplodinotus grunniens are a wide-ranging species that serve important functional roles and could serve as an indicator for similar but less common species. Our overall objectives were to quantify and compare population dynamic rates and life history of Freshwater Drum among study reaches in the upper Mississippi and Illinois rivers and relate these metrics to hypothesized environmental and anthropogenic factors.
We integrated recently collected age data with monitoring data to estimate age and size distributions, growth curves, maturation schedules, mortality rates, and young-to-adult ratios of Freshwater Drum in six study reaches spanning 1,500 km of river. Principal component analyses and linear regression were used to relate environmental and anthropogenic gradients (latitude, commercial harvest, hydrologic dynamics, primary productivity) to life history traits and population dynamic rates.
We found latitudinal gradients in life history traits and population dynamic rates whereby Freshwater Drum in upstream, higher-latitude study reaches generally exhibited later maturity, slower growth, smaller maximum size, and lower mortality rates compared with those in lower-latitude study reaches. Further, young-to-adult ratios positively corresponded with chlorophyll-a concentration. No clear relationships were apparent between population dynamic rates and hydrologic variation or commercial harvest.
Latitude is an important structuring component of life history traits and population dynamics of Freshwater Drum in the upper Mississippi and Illinois rivers likely due to both temperature seasonality and disturbance regimes. The presence of demographic structure in a widespread, common species such as Freshwater Drum suggests similar patterns likely exist in other long-lived native fishes.
The giant gartersnake (Thamnophis gigas) is a semi aquatic snake endemic to the Central Valley of California. After losing 95 percent of its historic wetland habitat (Frayer and others, 1989), giant gartersnakes became state and federally listed as a threatened species (California Fish and Game Commission, 1971; U.S. Fish and Wildlife Service 1993, 1999). Continued monitoring of current populations and implementation of suggested management actions is necessary to recover the species. The Natomas basin in Sacramento, California, supports a population of giant gartersnakes persisting in restored marshes and rice agriculture. This annual report summarizes the giant gartersnake monitoring project for 2024, focusing on the apparent survival, abundance, density, and distribution of the giant gartersnakes and the connectivity of habitat throughout the Natomas basin. In 2024, 131 giant gartersnakes were captured 216 times at 44 sites by hand or trap. The catch-per-unit effort decreased from 2023 to 2024 but was similar to other years of the study. Estimates of occupancy increased between 2023 and 2024, although the trend of occupancy from 2011 through 2024 is still decreasing overall at a mean annual rate of 3 percent per year. Apparent survival was much higher at Betts-Kismat-Silva from 2018 to 2019 and from 2021 to 2022 than in other years, but this may be partly attributed to different sampling efforts over the years. Trapping effort was more consistent in the Sills tract, and apparent survival was slightly higher in later years (2022–23 and 2023–24). Giant gartersnake populations appeared to remain stable in 2024, but abundance, density, survival, and distribution is highly variable across different sites and years of the study. Continued monitoring of the populations would allow for better trend estimates over time and assessment of the effects of management activities. Giant gartersnake populations throughout the basin and on reserve lands would likely benefit from the following: (1) creating more managed marsh; (2) increasing the amount of emergent tule vegetation in existing marshes (for example, Cummings, Natomas Farms, and Lucich South); (3) continuing to flood existing marshes in early spring; (4) maintaining rice agriculture; and (5) continuing research into conservation actions that target the giant gartersnake, such as habitat and water management and translocation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261009","collaboration":"Prepared in cooperation with the Natomas Basin Conservancy","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Nguyen, A.M., Rose, J.P., Jordan, A.C., Napolitano, G.R., Macias, D., Schoenig, E.J., Reyes, G.A., and Halstead, B.J., 2026, Natomas basin giant gartersnake annual monitoring report 2024: U.S. Geological Survey Open-File Report 2026–1009, 40 p., https://doi.org/10.3133/ofr20261009.","productDescription":"viii, 40 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-181032","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504021,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1009/ofr20261009.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1009 PDF"},{"id":504023,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1009/ofr20261009.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1009 XML"},{"id":504020,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1009/coverthb2.jpg"},{"id":504022,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261009/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1009 HTML"},{"id":504024,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1009/images"}],"country":"United States","state":"California","otherGeospatial":"Natomas Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.633,\n 38.833\n ],\n [\n -121.433333,\n 38.833\n ],\n [\n -121.433333,\n 38.681881516888694\n ],\n [\n -121.633,\n 38.681881516888694\n ],\n [\n -121.633,\n 38.833\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 3 million barrels of oil and 343.5 trillion cubic feet of gas in reservoirs of the Bossier Formation within the onshore United States and State waters of the Gulf Coast region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263004","programNote":"National and Global Petroleum Assessment","usgsCitation":"Gardner, R., Birdwell, J.E., Flaum, J.A., Kinney, S.A., Pitman, J.K., Paxton, S.T., Cicero, A.D., Lagesse, J.H., Pepin, J.D., Counts, J.W., Johnson, B.G., Lohr, C.D., Whidden, K.J., French, K.L., Mercier, T.J., and Leathers-Miller, H.M., 2026, Assessment of undiscovered oil and gas resources in the Bossier Formation within the onshore United States and State waters of the Gulf Coast region, 2025: U.S. Geological Survey Fact Sheet 2026–3004, 4 p., https://doi.org.10.3133/fs20263004.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-184698","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504226,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263004/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3004"},{"id":504040,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3004/fs20263004.xml"},{"id":504039,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3004/images"},{"id":504270,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119407.htm","linkFileType":{"id":5,"text":"html"}},{"id":503891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3004/coverthb.jpg"},{"id":503892,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3004/fs20263004.pdf","text":"Report","size":"3.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3004"},{"id":503893,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14PGG8R","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Bossier Formation, Gulf Coast Region—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"country":"United States","state":"Alabama, Arkansas, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Bossier Formation, Gulf Coast region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102,\n 34\n ],\n [\n -84,\n 34\n ],\n [\n -84,\n 27\n ],\n [\n -102,\n 27\n ],\n [\n -102,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Recreational fisheries are important global contributors to food security, socio-cultural practices, and local and regional economies. However, inland recreational fisheries are often overlooked by policymakers due to a limited understanding of the magnitude of participation, harvest, and economic impact. Here, we used the U.S. Inland Creel and Angler Survey Catalog and catch and effort model (CreelCatch) and several assumptions to provide an initial estimate of the magnitude of total inland recreational fisheries harvest in the conterminous USA. The CreelCatch model projected fishing harvest across lakes, ponds, and reservoirs based on fishing effort, water body area, and regional effects. We estimated that recreational lake fisheries in the conterminous USA likely harvest 236,000–671,000 tonnes of fish per year, 17–48 times greater than total inland fisheries harvest reported to the United Nations. Inland recreational fisheries may warrant greater consideration for their contribution to national scale socioeconomics and impacts on fish stocks and ecosystems.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/fshmag/vuag014","usgsCitation":"Robertson, M.D., Embke, H., Lynch, A., Midway, S.R., and Paukert, C., 2026, Inland recreational fisheries harvest far exceeds reported inland harvest in the United States: Fisheries, https://doi.org/10.1093/fshmag/vuag014.","ipdsId":"IP-178993","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":504218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/fshmag/vuag014","text":"Publisher Index Page"},{"id":504092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n 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River","interactions":[],"lastModifiedDate":"2026-05-07T14:43:22.789474","indexId":"70275657","displayToPublicDate":"2026-05-06T09:33:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River","title":"Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River","docAbstract":"Invasive carp pose ecological and economic risks to North American freshwater systems. This study uses the Fluvial Egg Drift Simulator to model the drift of invasive silver carp (Hypophthalmichthys molitrix) eggs and larvae after hypothetical spawning in Pools 1–10 of the Upper Mississippi River. Although adult invasive carps have been detected in this region, no reproduction has been confirmed as of this publication. A total of 450 spawning scenarios were simulated, representing 5 water temperatures, 9 flows, and 10 spawning locations in the tailwaters of lock and dam structures. The study examined egg and larval positions at two key developmental stages: hatching and gas bladder inflation, when larvae seek nursery habitat. Under a wide variety of flow conditions and water temperatures, eggs spawned upstream from Lake Pepin (Pool 4) are likely to settle in the lake before hatching, possibly increasing mortality rates. Eggs that survive passage through Lake Pepin reach gas bladder inflation within the study area, except in scenarios with lower temperatures and higher flows. Conversely, larvae spawned downstream from Lake Pepin generally drift out of the study area before reaching gas bladder inflation, except in cases of higher temperatures and lower flows. These findings inform ichthyoplankton sampling strategies and management actions aimed at reducing invasive carp populations in areas likely to support recruitment.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-41803-w","usgsCitation":"LeRoy, J.Z., Loppnow, G., Jackson, P.R., and Lasher, G.E., 2026, Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River: Scientific Reports, v. 16, 14421, 18 p., https://doi.org/10.1038/s41598-026-41803-w.","productDescription":"14421, 18 p.","ipdsId":"IP-173009","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":504213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-41803-w","text":"Publisher Index Page"},{"id":504086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.6,\n 45.1\n ],\n [\n -90,\n 45.1\n ],\n [\n -90,\n 42.667\n ],\n [\n -93.6,\n 42.667\n ],\n [\n -93.6,\n 45.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loppnow, Grace","contributorId":344014,"corporation":false,"usgs":false,"family":"Loppnow","given":"Grace","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. 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However, existing evidence is limited to runoff seasonality. Changing sediment-transport seasonality, a more sensitive component, is emerging as a substantial yet under-recognized threat to water infrastructure. Leveraging monthly observations from the upper Tarim River from the 1960s to 2000s, we show that a warmer and wetter climate has intensified sediment-transport seasonality, with a 43% increase in summer sediment fluxes. Over half of this amplification stems from more frequent extreme sediment transport, particularly events triggered by high sediment supply rather than high discharge. Supported by a state-of-the-art river change dataset, we show that enhanced sediment seasonality and extreme sediment transport have largely contributed to increased river mobility since 2000. Sediment-driven changes are pushing riverine processes towards greater unpredictability and pose growing threats to water infrastructure and water security in vulnerable cold–dry regions.
","language":"English","publisher":"Nature","doi":"10.1038/s41893-026-01829-4","usgsCitation":"Zhang, T., Best, J.L., East, A.E., Rosa, L., Wu, Q., Li, Y., Qi, Y., Li, Y., and Li, D., 2026, Water scarcity and infrastructure risk of amplified seasonal sediment transport: Nature Sustainability, https://doi.org/10.1038/s41893-026-01829-4.","ipdsId":"IP-181090","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Ting","contributorId":331672,"corporation":false,"usgs":false,"family":"Zhang","given":"Ting","affiliations":[],"preferred":false,"id":961783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":961784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosa, Lorenzo","contributorId":209959,"corporation":false,"usgs":false,"family":"Rosa","given":"Lorenzo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":961786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Qianhan","contributorId":371409,"corporation":false,"usgs":false,"family":"Wu","given":"Qianhan","affiliations":[{"id":88135,"text":"School of Biological Sciences and Institute for Climate and Carbon Neutrality, The University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":961787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Yiyi","contributorId":371410,"corporation":false,"usgs":false,"family":"Li","given":"Yiyi","affiliations":[{"id":88136,"text":"College of Water Resources and Civil Engineering, China Agricultural University","active":true,"usgs":false}],"preferred":false,"id":961788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qi, Yu","contributorId":371412,"corporation":false,"usgs":false,"family":"Qi","given":"Yu","affiliations":[],"preferred":false,"id":961791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Yunkai","contributorId":371411,"corporation":false,"usgs":false,"family":"Li","given":"Yunkai","affiliations":[{"id":88136,"text":"College of Water Resources and Civil Engineering, China Agricultural University","active":true,"usgs":false}],"preferred":false,"id":961789,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Dongfeng","contributorId":297068,"corporation":false,"usgs":false,"family":"Li","given":"Dongfeng","email":"","affiliations":[{"id":64287,"text":"National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":961790,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276467,"text":"70276467 - 2026 - Restoration in motion: expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum","interactions":[],"lastModifiedDate":"2026-06-05T14:13:54.088113","indexId":"70276467","displayToPublicDate":"2026-05-06T09:08:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Restoration in motion: expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum","title":"Restoration in motion: expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum","docAbstract":"Habitat fragmentation poses a significant threat to migratory species. Dams are a common form of fragmentation, and recent restoration efforts around the Great Lakes have prioritized dam removal. We used acoustic telemetry to describe migratory movements of two redhorse species in the Sandusky and Cuyahoga rivers, Ohio, USA in relationship to habitat reconnection. Shorthead redhorse (Moxostoma macrolepidotum) typically migrated from both rivers into Lake Erie between May and July, moving 40–248 km straight-line distance from the river before returning the following spring. We recorded individual cumulative distances up to 809 km between spawning seasons. Shorthead redhorse demonstrated tributary fidelity, but individuals from both rivers co-occurred along southern Lake Erie. Silver redhorse (M. anisurum) largely remained in their tagging tributary watersheds year-round. Cuyahoga River silver redhorse moved upstream from March to April 28.8 km on average and passed upstream of the historical Brecksville Dam (removed in 2020), occasionally reaching the next upstream dam. Telemetry data revealed redhorse use of newly available habitat upstream of dam removals and previously undescribed long-range adfluvial migration by shorthead redhorse.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0330","usgsCitation":"Bonjour, S.M., Roberts, J.J., Mills, M.A., Walters, D., Mueller, A.T., Fischer, N.D., Trimbath, R.J., Wagner, C.P., Jenkins, P.I., and Acre, M.R., 2026, Restoration in motion: expanded migration and distribution of silver redhorse Moxostoma anisurum and shorthead redhorse M. macrolepidotum: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, p. 1-13, https://doi.org/10.1139/cjfas-2025-0330.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-183824","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":505089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Cuyahoga River, Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.99957437904655,\n 41.455123996119426\n ],\n [\n -83.15876511531583,\n 41.455123996119426\n ],\n [\n -83.15759076931299,\n 41.29563625906624\n ],\n [\n -82.99922556340212,\n 41.29563625906624\n ],\n [\n -82.99957437904655,\n 41.455123996119426\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.79589612495593,\n 41.50836069209177\n ],\n [\n -81.4024573976178,\n 41.50836069209177\n ],\n [\n -81.40795017590118,\n 41.07604448536253\n ],\n [\n -81.79726538487185,\n 41.07604448536253\n ],\n [\n -81.79589612495593,\n 41.50836069209177\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonjour, Sophia Marie 0000-0003-3614-7023","orcid":"https://orcid.org/0000-0003-3614-7023","contributorId":335936,"corporation":false,"usgs":true,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Marc A.","contributorId":371845,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","middleInitial":"A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":962457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mueller, Andrew T. 0000-0001-8566-8023","orcid":"https://orcid.org/0000-0001-8566-8023","contributorId":238278,"corporation":false,"usgs":true,"family":"Mueller","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischer, Nicholas David 0009-0002-7348-0773","orcid":"https://orcid.org/0009-0002-7348-0773","contributorId":371846,"corporation":false,"usgs":true,"family":"Fischer","given":"Nicholas","middleInitial":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trimbath, Ryan J.","contributorId":371847,"corporation":false,"usgs":false,"family":"Trimbath","given":"Ryan","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Curtis P.","contributorId":371848,"corporation":false,"usgs":false,"family":"Wagner","given":"Curtis","middleInitial":"P.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962462,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jenkins, Peter I.","contributorId":371849,"corporation":false,"usgs":false,"family":"Jenkins","given":"Peter","middleInitial":"I.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962463,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962464,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275689,"text":"70275689 - 2026 - Evaluating reservoir passage and survival of juvenile Chinook Salmon to support reintroduction upstream of Shasta Dam, California","interactions":[],"lastModifiedDate":"2026-05-11T14:59:47.096843","indexId":"70275689","displayToPublicDate":"2026-05-05T09:42:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating reservoir passage and survival of juvenile Chinook Salmon to support reintroduction upstream of Shasta Dam, California","docAbstract":"Juvenile Chinook Salmon Oncorhynchus tshawytscha that are released upstream of Shasta Reservoir migrate more than 35 km to reach Shasta Dam, although survival through this system is poorly understood. We conducted a reservoir-scale acoustic telemetry study to quantify downstream movement and survival under seasonally variable environmental conditions to inform decisions about juvenile collection strategies for Chinook Salmon reintroduction above Shasta Dam.
A total of 656 hatchery-origin juvenile Chinook Salmon were acoustic-tagged, released near the mouth of the McCloud River, and monitored in Shasta Reservoir and the Sacramento River from September 2024 through March 2025 using an array of telemetry receivers.
Most tagged fish failed to move downstream through the McCloud River Arm of Shasta Reservoir and arrive at Shasta Dam. Survival probabilities were estimated at 0.268 to the downstream end of the McCloud River Arm and 0.119 to Shasta Dam. For fish that did reach the dam, elapsed time from release to arrival was 66.4 d, and fish typically arrived and departed during daylight hours. Nine tagged juveniles were detected downstream of the dam, and three were later detected more than 500 km downstream.
The consistently low survival and restricted downstream movement provide important information indicating that downstream collection of juvenile Chinook Salmon should be focused in the lower McCloud River and the upper portion of the McCloud River Arm of Shasta Reservoir rather than at Shasta Dam.
As the population of New Jersey continues to remain dense, the need for water supply will likely continue to be high, which can lead to water managers needing to make difficult decisions about managing drinking-water supply. Streamgaging weirs like the ones used by the U.S. Geological Survey (USGS) play a critical role in providing accurate and stable streamflow data, but their presence can affect the passage of diadromous fish species such as river herring (Alosa pseudoharengus [alewife], Alosa aestivalis [blueback herring], and Alosa sapidissima [American shad]). In some situations, weirs existing in rivers and streams are no longer used because they were part of a farm irrigation system or some type of industrial operation. The weir at the USGS streamgage 01402000 Millstone River at Blackwells Mills, New Jersey, was purposefully built as a hydraulic-control structure that provides a precise and stable control for the measurement of stage and computation of continuous streamflow. To satisfy the dual need of maintaining accurate streamflow data and providing improved fish passage for select species of fish during migration season, the USGS proposed the development and evaluation of two alternative weir designs that would meet the criteria established for successful passage of American shad, alewife, and blueback herring during their yearly migration. The designs were also required to maintain adequate control of the upstream pool elevation necessary for the precise computation of streamflow used by State agencies for municipal water-supply purposes for surrounding communities.
Two alternative weir design modifications were incorporated at the center of the Blackwells Mills weir and modeled using two-dimensional hydraulic modeling software and three-dimensional computational fluid-dynamics software to simultaneously evaluate conditions for passage of the target fish species and effects to streamflow computations at the streamgage. The models were calibrated to existing conditions around the weir location using surveyed-elevation data and recorded stage, streamflow, and velocity in the Millstone River. The alternative weir designs lowered the weir crest by 1.02 feet (ft) and the resulting simulations showed an effective increase in depth of 0.98 ft at the median streamflow of 251 cubic feet per second (ft3/s) and 0.96 ft at the 95-percent exceedance streamflow of 98 ft3/s. The alternative weir designs were also found to increase streamflow depth across the shallowest portions of the weir structure at the downstream anti-scour skirt by lowering the skirt about 4 inches, allowing for two or more body depths of water for American shad, alewife, and blueback herring at the median migration streamflow of 251 ft3/s. The alternative weir designs also reduced the highest stream velocities across the downstream weir sill and anti-scour skirt from about 9 to 10 feet per second, and the depth-averaged velocity to about 7 to 8 feet per second. The sensitivity of the weir with respect to the computation of streamflow was increased from about 1.8 cubic feet per second per hundredth foot to 1.6 cubic feet per second per hundredth foot for streamflows of about 10–100 cubic feet per second.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265002","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., and Mulligan, K.B., 2026, Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey: U.S. Geological Survey Scientific Investigations Report 2026–5002, 31 p., https://doi.org/10.3133/sir20265002.","productDescription":"Report: ix, 31 p.; Data Release","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179030","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504269,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119406.htm","linkFileType":{"id":5,"text":"html"}},{"id":503276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5002/coverthb.jpg"},{"id":503277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.pdf","text":"Report","size":"56.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5002 PDF"},{"id":503278,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265002/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5002 HTML"},{"id":503279,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.XML","text":"SIR 2026-5002 XML","description":"SIR 2026-5002 XML"},{"id":503280,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5002/images"},{"id":503281,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14T93HI","text":"USGS data release","linkHelpText":"HEC-RAS and FLOW 3-D HYDRO models used to evaluate alternative weir designs for the Millstone River at Blackwells Mills, New Jersey"}],"country":"United States","state":"New Jersey","otherGeospatial":"Blackwells Mills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.57920795080669,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47768788237764\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
New bedrock and surficial geologic mapping in the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, investigates the geologic framework and causative mechanisms of the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina. The mapping documents (1) the coseismic surface rupture from the 2020 earthquake and related brittle structures in the bedrock; (2) the fault contact between the western Blue Ridge and eastern Blue Ridge; (3) lithostratigraphy in the Lynchburg Group, Ashe Metamorphic Suite, and Alligator Back Metamorphic Suite; (4) the nature of the contact between the Lynchburg Group, Ashe Metamorphic Suite, and Alligator Back Metamorphic Suite; and (5) surficial deposits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261010","collaboration":"Prepared in cooperation with the North Carolina Geological Survey, the University of North Carolina at Chapel Hill, and North Carolina State University","usgsCitation":"Merschat, A.J., Carter, M.W., Lynn, A.S., Weinmann, B.R., Odom, W.E., McAleer, R.J., Mahan, S.A., Stewart, K.G., Holm-Denoma, C.S., and Crider, E.A., Jr., 2026, Preliminary geologic map of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, and the epicentral area of the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina: U.S. Geological Survey Open-File Report 2026–1010, 1 sheet, scale 1:24,000, https://doi.org/10.3133/ofr20261010.","productDescription":"Report: 1 p.; 2 Data Releases","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158347","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":503989,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119391.htm","linkFileType":{"id":5,"text":"html"}},{"id":502870,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DCJMR0","text":"USGS data release","linkHelpText":"Database for the preliminary geologic map of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, and the epicentral area of the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina"},{"id":502869,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XJCPS","text":"USGS data release","linkHelpText":"Luminescence and radiocarbon data for—Geologic map of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles, North Carolina and Virginia, and the epicentral area of the August 9, 2020, Mw 5.1 earthquake in Sparta, NC"},{"id":502867,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1010/coverthb2.jpg"},{"id":502868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1010/ofr20261010.pdf","text":"Report","size":"42.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1010 PDF"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.25,\n 36.625\n ],\n [\n -81,\n 36.625\n ],\n [\n -81,\n 36.4689\n ],\n [\n -81.25,\n 36.4689\n ],\n [\n -81.25,\n 36.625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Florence Bascom Geoscience Center
U.S. Geological Survey
Mail Stop 926A
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey and cooperators mapped the bedrock and surficial geology of the Sparta East, Sparta West, and parts of the Glade Valley and Whitehead 7.5-minute quadrangles in North Carolina and Virginia to provide a detailed geologic framework of the August 9, 2020, magnitude 5.1 earthquake near Sparta, North Carolina. The earthquake produced the first documented faulting that ruptured the surface in the eastern United States. The area is underlain by Precambrian (>541 million years old) igneous and metamorphic rocks in the north and strongly layered metamorphic rocks in the south, separated by a large Paleozoic fault zone (approximately 340 million years old). The regional geologic structural trends (the orientation of faults and rock formations) are aligned northeast to southwest. The surface rupture (Little River fault) from the 2020 earthquake, is mapped for 4 kilometers (~2.5 miles) and cuts across the older geologic structures in the bedrock. Evidence of prior faulting is documented in the Bledsoe Creek valley, where terrace gravels indicate that fault movement occurred before 460,000 years ago.
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Waterfowl and wetland conservation programs in North America are at the forefront of landscape-scale prioritization and transboundary management decisions due to the migratory nature of ducks, geese, and swans. The growing availability of geographic information systems (GIS) and geospatial technologies has accelerated the development of multi-objective landscape prioritization models, including applications of structured decision making and multi-criteria decision analysis to spatial planning for waterfowl and wetlands at the continental scale. However, regional managers and conservationists could benefit from flexibility in downscaling continental tools, selecting objectives, and assigning weights for rapid production of spatial prioritization models at smaller spatial scales without extensive computer coding or GIS analysis. We developed a spatial value model that prioritizes landscapes at sub-continental scales (e.g., states and provinces, bird conservation regions, etc.) and provides flexibility for users to select waterfowl conservation objectives of interest and weights. Our model can be used for direct downscaling of an existing continental geospatial model or further customized with region-specific geospatial data. We illustrate how regional prioritization can vary with the spatial scale selected by the user. The spatial value modeling framework and the downscaling tool presented here could increase the use of multi-criteria decision analysis and linear value modeling in spatial landscape prioritization, while also providing flexibility for selecting scales, objectives, and weights. Our spreadsheet tool was developed specifically for use by regional biologists, conservationists, and managers and does not require knowledge of GIS software (although results can be exported from the spreadsheet for spatial analysis using GIS). Together, the model outputs and the accompanying spreadsheet tool provide a bridge between continental waterfowl conservation and regional implementation, enabling rapid, stakeholder-driven, value-explicit prioritization.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.70027","usgsCitation":"Couvillon, A., Soulliere, G., Gordon, D., Eggeman, D., Al-Saffar, M.A., Humburg, D.D., and Lyons, J., 2026, Regional conservation planning tool: A spreadsheet model to support spatial prioritization and resource allocation decisions: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.70027.","ipdsId":"IP-168494","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.70027","text":"Publisher Index Page"},{"id":504242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillon, Anastasia","contributorId":371246,"corporation":false,"usgs":false,"family":"Couvillon","given":"Anastasia","affiliations":[{"id":63963,"text":"University of Louisiana","active":true,"usgs":false}],"preferred":false,"id":961373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulliere, Gregory J.","contributorId":353609,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, David H.","contributorId":221670,"corporation":false,"usgs":false,"family":"Gordon","given":"David H.","affiliations":[],"preferred":false,"id":961375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggeman, Diane","contributorId":371247,"corporation":false,"usgs":false,"family":"Eggeman","given":"Diane","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":961376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Saffar, Mohammed A","contributorId":292215,"corporation":false,"usgs":false,"family":"Al-Saffar","given":"Mohammed","email":"","middleInitial":"A","affiliations":[{"id":62842,"text":"USWFS","active":true,"usgs":false}],"preferred":false,"id":961377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":961378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961379,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275639,"text":"70275639 - 2026 - Sex-specific Atlantic salmon upstream passage and fallback at a natural cascade after dam removal","interactions":[],"lastModifiedDate":"2026-05-06T14:17:24.104518","indexId":"70275639","displayToPublicDate":"2026-05-04T09:09:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sex-specific Atlantic salmon upstream passage and fallback at a natural cascade after dam removal","docAbstract":"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.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.70073","usgsCitation":"Heim, K., Withers, J.L., Arden, W., Earley, L., Minkoff, D., and Castro-Santos, T., 2026, Sex-specific Atlantic salmon upstream passage and fallback at a natural cascade after dam removal: Fisheries Management and Ecology, https://doi.org/10.1111/fme.70073.","ipdsId":"IP-186514","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.70073","text":"Publisher Index Page"},{"id":504028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Sttes","state":"New York","otherGeospatial":"Boquet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.38125877457146,\n 44.37183860284628\n ],\n [\n -73.40052824783562,\n 44.37183860284628\n ],\n [\n -73.40052824783562,\n 44.35898484287253\n ],\n [\n -73.38125877457146,\n 44.35898484287253\n ],\n [\n -73.38125877457146,\n 44.37183860284628\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":264533,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":961254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Withers, Jonah L.","contributorId":265471,"corporation":false,"usgs":false,"family":"Withers","given":"Jonah","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arden, William","contributorId":371206,"corporation":false,"usgs":false,"family":"Arden","given":"William","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earley, Laurie","contributorId":371207,"corporation":false,"usgs":false,"family":"Earley","given":"Laurie","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minkoff, David","contributorId":371208,"corporation":false,"usgs":false,"family":"Minkoff","given":"David","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":961259,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276379,"text":"70276379 - 2026 - A comprehensive inventory of communication tower infrastructure across the range of greater and Gunnison sage-grouse","interactions":[],"lastModifiedDate":"2026-06-02T14:20:57.271022","indexId":"70276379","displayToPublicDate":"2026-05-02T09:15:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive inventory of communication tower infrastructure across the range of greater and Gunnison sage-grouse","docAbstract":"We compiled and verified a comprehensive inventory dataset of communication tower infrastructure across the range of the greater sage-grouse (Centrocercus urophasianus) and Gunnison sage-grouse (Centrocercus minimus), two species of conservation concern that are viewed as ecosystem health indicators for the entire sagebrush biome within the United States. Our dataset includes all known towers with emphasis on validating construction year and month for towers built between 1990–2023. The annual spatial time series format of the data allows users to visualize, assess, and download tower locations and duration (including dates of construction and dismantlement) across the sagebrush biome of the western U.S. Tower data were acquired from publicly available infrastructure databases and records were filtered to include communication tower structures within the area of interest. Data records were validated and checked for accuracy with high resolution aerial and satellite imagery, and a subset were verified during field visits. The final filtered dataset comprises 4,322 tower sites, of which 3,528 tower site locations were verified via satellite imagery or field visits, and 794 were unverified tower sites (tower presence could not be confirmed via satellite imagery). Each tower record includes geographic coordinates, structure height, estimated date of construction, number of towers at each site, and, if applicable, date of dismantlement. The data product closes spatiotemporal gaps and resolves discrepancies present in other public versions of similar data and can be used in ecological research, infrastructure planning/siting/permitting, decision support tools for biological or landscape management, environmental assessments, or general use pertaining to the historic and current locations of communication infrastructure across sagebrush ecosystems.
","language":"English","publisher":"Nature","doi":"10.1038/s41597-026-07296-y","usgsCitation":"Webster, S.C., Szabo, S., Cupples, J.B., O’Neil, S.T., Dinkins, J.B., Abele, S., Hill, J.M., Tull, J.C., Chenaille, M.P., and Coates, P., 2026, A comprehensive inventory of communication tower infrastructure across the range of greater and Gunnison sage-grouse: Scientific Data, https://doi.org/10.1038/s41597-026-07296-y.","ipdsId":"IP-158433","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":505046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-026-07296-y","text":"Publisher Index Page"},{"id":504949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"western united 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We identified streams in the conterminous United States with high invasion risk from 20 non-native fluvial fish species. Specifically, we (1) developed habitat suitability models for each species using nine natural and six anthropogenic predictors within nine large ecoregions, identifying the potential invasion hotspots; (2) evaluated the relative importance of natural and anthropogenic predictors for each species; and (3) assessed potential invasion risk to protected stream habitats. Predicted invasion hotspots included much of Florida, coastal regions of Texas and Louisiana, and areas surrounding major metropolitan centers such as Chicago, New York, and Phoenix. Model predictions indicate that goldfish (Carassius auratus), pirapitinga (Piaractus brachypomus), and pond loach (Misgurnus anguillicaudatus) could occupy extensive suitable habitats across the conterminous United States. The most influential natural predictor across species was network catchment area (a surrogate for stream size), while the most influential anthropogenic predictor was human population density. Goldfish were predicted to be present in protected areas across all nine ecoregions, highlighting their high invasion potential. Collectively, our results provide critical information on regions vulnerable to invasion and the species most likely to become established and identify areas at risk of invasion within protected landscapes.
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system-based hydraulic modeling tool for developing preliminary culvert designs for stream crossings in Massachusetts","docAbstract":"Currently (2026), many of the about 25,000 roadway crossing structures over rivers and streams in Massachusetts are undersized. Undersized culverts and bridges can be detrimental to fish and wildlife movement, habitat continuity, and the health of aquatic organisms. Undersized culverts also can lack the resiliency needed to withstand large floods, which could be worsened by potential increases in flood magnitude and frequency due to climate change. Improving culvert and bridge designs for stream crossing projects may improve aquatic organism passage, stream continuity, and resiliency during future floods by decreasing upstream overbank flooding, road flooding and erosion, and degradation of aquatic habitat.
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}]}} ]}