Released July 31, 2026 15:00 EST

2026, General Information Product 285

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 296

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 316

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 276

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 286

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 310

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 319

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 291

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of Puerto Rico’s landscape showcases its elevation differences in vivid detail. This map has been consistently adjusted and colorized according to the highest and lowest elevations, accentuating differences across Puerto Rico. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 317

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 288

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 278

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 298

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 280

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 315

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 277

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 287

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 297

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 304

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 308

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 293

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 301

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 274

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 290

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 314

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 284

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 309

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of the District of Columbia's landscape showcases its elevation differences in vivid detail. This map has been consistently adjusted and colorized according to the highest and lowest elevations, accentuating differences across the District of Columbia. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 273

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 289

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 268

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 283

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 272

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 295

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 313

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 282

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 307

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 312

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 302

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 275

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 306

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 305

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 303

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 279

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 300

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 299

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 318

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 292

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 311

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 270

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 281

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 294

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 15:00 EST

2026, General Information Product 271

Alexander B. Jonesi, Cindy A. Thatcher, Jason M. Stoker

Using 3D Elevation Program data, a modern illustration of each State's landscape showcases its elevation differences in vivid detail. Each State has been consistently adjusted and colorized according to its highest and lowest elevations, accentuating differences even in States with low relief. To further emphasize landforms, shaded relief has been added on top of the elevation colors.

Released July 31, 2026 12:32 EST

2026, Open-File Report 2026-1020

Anna C. Jordan, Jonathan P. Rose, Elliot J. Schoenig, Daniel Macias, Giancarlo R. Napolitano, Gabriel A. Reyes, Brian J. Halstead

The giant gartersnake (Thamnophis gigas) is a semi-aquatic species of snake endemic to marshes and sloughs in the Central Valley of California. Because the Central Valley has lost a substantial amount of wetland habitat, giant gartersnake populations are typically found in aquatic habitats associated with rice (Oryza sativa) agriculture. Therefore, changes to the amount and location of rice agriculture on the landscape could affect giant gartersnake populations. We present analyses of 9 years of data examining how the occurrence of giant gartersnakes is affected by rice idling. We sampled agricultural canals associated with active rice fields and fallowed fields at 119 sites from 2016 through 2024. We captured giant gartersnakes at 95 of 119 sites sampled during our study, totaling 5,269 captures of 2,687 individuals. We used these capture data, as well as data on the trapping effort, habitat, vegetation, prey availability, and amount of active rice growing at each site, to estimate occupancy and detection probabilities of giant gartersnakes. Mean daily detection probability at a site was 0.38 (95-percent credible interval 0.22–0.56). Given the mean daily detection probability, the probability of detecting giant gartersnakes at an occupied site at least once during a 21-day sampling period within a given year was greater than (>) 0.99 (>0.99 to much greater than [>>] 0.99). The spatial extent of active rice growing within a 2-kilometer buffer of a site was positively correlated with initial site occupancy and the probability of site colonization. Giant gartersnake population density (hereinafter, density) estimated using spatially explicit capture-recapture models, varied among traplines and years, with densities consistently highest in the Butte basin. The annual population growth rate also varied among site-clusters and years, with no temporal trend of growth or decline among sites. Annual apparent survival of giant gartersnakes varied slightly between years and among site clusters, with overall mean annual apparent survival of 0.51 (95-percent credible interval 0.34–0.71) for female snakes and 0.45 (0.30–0.63) for male snakes. The amount of rice in the surrounding landscape was positively correlated to giant gartersnake survival. Rice contributes positively to giant gartersnake occurrence, colonization, and survival, and maximizing the amount of rice agriculture within 4 kilometers of canals with giant gartersnake populations would likely minimize the effects of rice idling on these populations.

Released July 31, 2026 09:01 EST

2026, Techniques and Methods 11-C11

Jessica D. DeWitt, Kathleen M. Boston, Sindhuja Sunder, Sandra Bond, Pete G. Chirico, Jennifer A. Curtis, Tom Nobles, Neffra Matthews

Detailed and accurate historical data are crucial to characterizing landscape change, whether it is caused by natural phenomena or of anthropogenic origin. Aerial imagery has been periodically collected by government and nongovernment agencies, for a broad range of purposes, since the early 20th century. The acquisition of aerial images involves using standardized equipment with large-format, carefully calibrated cameras and lens assemblies. Historical archives of aerial images preserve a record of the landscape and are invaluable sources of information that predate satellite and lidar. Structure from motion (SfM) aided photogrammetry provides an efficient means for creating digital three-dimensional data from the vast archives of historical aerial imagery.

This report presents techniques, methods, best practices, and a standard workflow for creating point clouds, digital elevation models, and orthomosaic digital scans of overlapping (stereographic) vertical aerial photographs using photogrammetry software. A list of critical issues relevant to SfM-aided photogrammetry of historical aerial imagery is provided, along with potential contingencies and solutions. The workflow was tested in many geographic study areas and with historical imagery datasets of different scales and sources. Three case studies are included. By integrating known SfM methods, these procedures enable the consistent and optimal extraction of historical quantitative data from archives like the U.S. Geological Survey (USGS) Aerial Photo Single Frame archive in the USGS EarthExplorer data portal.

Released July 31, 2026 08:40 EST

2026, Scientific Investigations Report 2026-5125

John G. Richins, Leslie L. Duncan, Kevin Befus

The U.S. Geological Survey, in cooperation with the Gulf Coast Ecosystem Restoration Council, has used MODFLOW 6 to develop a groundwater-flow model to simulate groundwater and surface-water interactions in the Mobile Bay, Alabama, area. The model results indicated that, on average, groundwater discharge near the coastline is equal to 2.5 percent of the surface water that flows into the bay. The model was also used to determine how changes in recharge, sea level, and groundwater pumping affect groundwater levels and discharge rates. The results indicate that more groundwater discharge occurred in the winter and spring when recharge was higher, sea level was lower, and groundwater pumping was lower than during the summer and fall. Additionally, the amount of emergent groundwater was closely related to sea level; when sea level was higher, there was more area with emergent groundwater. Furthermore, the depth of nonemergent groundwater was related to trends in recharge and pumping. During periods of increased recharge and reduced pumping, a significant portion of the model area exhibited a depth to the water table of less than 1 meter below the land surface. Conversely, during periods of decreased recharge and heightened pumping, much of the model area showed a depth to the water table ranging from 1 to 5 meters.

Released July 30, 2026 11:02 EST

2026, Scientific Investigations Report 2026-5039

Zeno F. Levy, Andrew L. Soldavini

This study provides a comprehensive assessment of decadal changes in the quality of groundwater used for public drinking-water supply at 444 monitoring sites across California during 2004–23. We assessed decadal step trends in groundwater quality for 145 water-quality constituents and geochemical indicators statewide and across geographic and land-use based network groups. We evaluated the statistical significance of directional changes (predominant increase or decrease of constituent concentrations) and the magnitude of those changes across all network groups.

Uranium showed the most widespread directional and high-magnitude increases of all constituents with regulatory benchmarks statewide, particularly in the agriculture-dominated Central Valley as well as urban-and desert-dominated regions of Southern California. Fluoride and perchlorate showed the most widespread directional and high-magnitude decreases of all constituents with regulatory benchmarks statewide, which were also most pronounced in Southern California. Although arsenic and nitrate did not often register significant directional changes across network groups, they showed widespread, high-magnitude changes in both directions (increase and decrease) at levels often exceeding 10 percent of respective regulatory benchmarks statewide. Triazine herbicides (atrazine and simazine) and the gasoline oxygenate methyl tert-butyl ether showed significant directional decreases statewide, but not at levels considered to be of high magnitude compared to respective regulatory benchmarks.

We observed significant directional and high-magnitude increases of total dissolved solids statewide, which were most pronounced in agricultural areas. Analysis of explanatory geochemical indicators indicated that prevalent statewide increases of alkalinity and calcium were the predominant components of the observed statewide increases in total dissolved solids by mass. Widespread increases in groundwater alkalinity and calcium across agricultural and urban areas may be related, in part, to warm-season irrigation and other anthropogenic factors that have shifted soil weathering dynamics over the long term. Increasing alkalinity concentrations were related to increasing uranium concentrations, particularly in areas with aquifer materials derived from granitic rocks. Conversely, increasing calcium concentrations were related to decreasing fluoride concentrations, particularly in areas where fluoride occurred naturally at elevated concentrations. Decrease of perchlorate, triazine herbicides, and methyl tert-butyl ether are likely related to decreased anthropogenic source inputs over time and natural attenuation in aquifers.

Released July 30, 2026 10:59 EST

2026, Global Biogeochemical Cycles (40)

Duncan N.L. Menge, Carla R. Reis Ely, Steven S. Perakis, Sian Kou-Giesbrecht, Cory C. Cleveland, Sasha C. Reed, Benton N. Taylor, Sarah A. Batterman, Timothy E. Crews, Katherine A. Dynarski, Jennifer L. Funk, Maga G. Gei, Kevin L. Griffin, Michael J. Gundale, David F. Herridge, Sarah E. Jovan, Mark B. Peoples, Johannes Piipponen, Emilio Rodriguez-Caballero, Verity G. Salmon, Fiona M. Soper, Anika P. Staccone, Bettina Weber, Amelia A. Wolf, Nina Wurzburger

Biological nitrogen (N) fixation (BNF) provides the N needed to produce proteins and other biological building blocks, helping feed humanity and mitigate climate change. Due to its high energetic cost compared to other forms of N acquisition, biotic investment in BNF indicates N limitation. Globally gridded BNF flux data provide an opportunity to determine the energetic investment in BNF across ecosystems, which would help reconcile conflicting indicators of N limitation. Here, we use a new BNF synthesis to quantify the relative importance of BNF in different N-fixing niches, in different biomes, and across the globe by calculating the fraction of net primary productivity (NPP) invested in BNF and the fraction of plant N acquisition provided by BNF. Larger fractions of non-agricultural NPP were invested in BNF in less-productive, higher-latitude biomes. This pattern was driven by biocrusts and mosses. Similarly, non-agricultural symbiotic N-fixing plants invested relatively more of their own NPP in BNF in less-productive, higher-latitude biomes. This symbiotic plant pattern was driven by shrubs and herbs, overriding the opposite pattern in trees. Symbiotic plants also acquired a higher fraction of their N from BNF at higher latitudes and in less productive biomes. Investments in symbiotic BNF were 10× higher in agricultural (2.9% of NPP) versus natural (0.29%) biomes, providing 26% versus 3.1% of ecosystem-scale plant N acquisition. These results support the paradigm of strong N limitation at higher latitudes, help understand the rarity of N-fixing trees at higher latitudes, underscore the dominance of human activity, and inform terrestrial biosphere models.

Released July 29, 2026 11:55 EST

2026, Fact Sheet 2026-3020

Michael E. Brownfield, Christopher J. Schenk, Tracey J. Mercier, Thomas M. Finn, Cheryl A. Woodall, Phuong A. Le, Heidi M. Leathers-Miller, Kristen R. Marra, Ronald M. Drake II, Scott A. Kinney

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 114.1 trillion cubic feet of tight gas in the Berkine, Illizi, and Hamra Basins of northern Africa. 

Released July 29, 2026 11:55 EST

2026, Fact Sheet 2026-3021

Michael E. Brownfield, Christopher J. Schenk, Tracey J. Mercier, Kristen R. Marra, Cheryl A. Woodall, Thomas M. Finn, Phuong A. Le, Heidi M. Leathers-Miller, Ronald M. Drake II, Scott A. Kinney

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 2.4 billion barrels of shale oil and 65.4 trillion cubic feet of shale gas in the Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of northern Africa.  

Released July 29, 2026 09:10 EST

2026, Ecotoxicology (35)

Vincent A. Slabe, David S. Pilliod, Michelle I. Jeffries, Kristina Joan Parker, Megan Yrazabal, Christine D. Hayes, Patricia A. Ortiz, Todd E. Katzner

Lead exposure has been documented in a multitude of bird and mammal species but less frequently in reptiles. Of the studies that have evaluated lead concentrations in reptiles, few have focused on snakes. We analyzed lead concentrations in liver and two types of bone from 24 gophersnakes (Pituophis catenifer; Pc) and 12 Great Basin rattlesnakes (Crotalus oreganus lutosus; Col) found dead along roads in the Morley Nelson Snake River Birds of Prey National Conservation Area in southwestern Idaho, U.S.A from 2018 to 2021. Because this area has been heavily impacted by both military and recreational activity, we also quantified lead concentrations in the soil near where the dead snakes were found. All soil samples had detectable lead (median: 12.53 µg/g; range: 0.07–16.77). Within individuals of both species, dry weight lead concentrations in liver generally were lower than those in bone (n samples < LOQ Liver: 9 of 13 (Pc), 9 of 10 (Col) (only a subset of individuals were in good enough condition to provide liver samples); Bone: 0 of 24 (Pc), 3 of 12 (Col). We did not detect any differences in lead concentrations between the species for either tissue type, nor between bone from the front (anterior) or back (posterior) of the snake skeleton. Additionally, we did not detect any correlation between lead concentration in soil collected at the roadkill sites and the tissue in the snakes. These data provide baseline information for lead exposure of two snake species in southwestern Idaho and demonstrate how lead is present in higher trophic levels within this ecosystem.

Released July 29, 2026 08:30 EST

2026, Journal of Geophysical Research, Solid Earth (131)

Daniel Douglas, Brad T. Aagaard, John Naliboff, Samer Naif

Subduction zones are important drivers of Earth's geochemical evolution; the presence of water within the subduction system has substantial implications for geohazards, including the style of seismicity and the volume of magma generated at arc volcanoes. We utilize estimates of pore fluid distributions in the outer-rise region of the Central American margin imaged using controlled-source electro-magnetic surveys and novel two-dimensional forward models simulating poro-elastic deformation of slab bending to constrain the background permeability structure of the Cocos Plate and within outer-rise fault damage zones. The model results suggest that a relatively low background permeability structure is required to match the observed porosity at depths greater than 3 km (less than ~10⁻²¹ m². Similarly, increasing the permeability within the damage zones of outer-rise faults by more than a factor of 10 also over-predicts observed porosity distributions at depths greater than 3 km. However, the simulations consistently underpredict pore fluid distributions between depths of 1–3 km, which may reflect nonlinear elastic or anelastic deformation processes not included in the simulations or inherent uncertainty in the conversion of resistivity measurements to porosity distributions. The best-fitting depth-permeability relationship is relatively low, which has important implications for the timing of pore fluid release down-dip of the trench, as it restricts shallow fluid release, likely leading to higher pore fluid pressures, more widespread hydraulic fracturing, and deeper release of pore fluid along the plate interface.

Released July 29, 2026 08:27 EST

2026, Nature Water

Katherine J. Knierim

Machine learning is the key to uncovering where populations across the globe are at risk from manganese in their groundwater-sourced drinking water.

Released July 29, 2026 07:53 EST

2026, Journal of Wildlife Management

Douglas B Mitchell, Patrick D. Keyser, Joseph D. Clark, David A. Buehler, James A Martin, Cody M. Rhoden, Bridgett Costanzo

Northern bobwhite (Colinus virginianus; bobwhite) populations have experienced an 85% decline across most of its range since the 1960s. The most drastic decreases have been in the southeastern United States where biologists attribute the decline to widespread habitat loss, including conversion of native grasslands to tall fescue (Lolium arundinaceum) and other exotic cool-season grass (CSG) pasture and hayfields. Including agricultural lands in conservation programs could improve habitat conditions on a regional scale. One working-lands conservation strategy involves the use of native warm-season grasses (NWSGs) rather than cool-season exotic grasses as economically viable cattle forage. To evaluate this management practice for creating bobwhite habitat, we conducted a field study on a bobwhite population in eastern Kentucky, USA, where grazed NWSG and burned NWSG fields were adjacent to exotic grazed and exotic hayed CSG fields. Between April 2019 and October 2022, we used radio telemetry to track bobwhites to evaluate resource selection at second- and third-order scales. Bobwhites used traditionally managed CSGs less than would be expected by chance at the second-order scale in both breeding and non-breeding seasons. Bobwhite use of grazed NWSG and burned NWSG was greater than would be expected by chance at the second-order scale in both breeding and non-breeding seasons. Similarly, at the third-order scale, bobwhites used CSGs less than would be expected by chance, whereas NWSGs and woody stems were used more than by chance alone. Our study suggests that bobwhites select NWSGs at multiple spatial scales despite broad-scale availability of managed exotic CSGs. Under a working-lands framework, the integration of NWSGs into working lands could create bobwhite habitat in the southeastern United States, especially if woody stems are present.

Released July 29, 2026 01:30 EST

2026, Scientific Investigations Map 3554

Federico Solano, John C. Mars, Bernard E. Hubbard

This report presents a comprehensive set of prospectivity maps for lithium in brines located within the playas of the Basin and Range Province of western United States. The prospectivity assessment is based on criteria established in the descriptive deposit model outlined in a previous U.S. Geological Survey report, with a focus on regional remote sensing methodologies. The playas within the study area have been systematically ranked according to several key factors, including size, the presence and abundance of source rocks, vegetation as an indicator of water availability, documented prospects, and data products derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor. Notably, the deposits in the playa of Clayton Valley make it stand out as the sole lithium brine-producing playa in the United States. The ASTER sensor provides optimal regional coverage, characterized by a 60-kilometer swath width and unique multispectral capabilities that are not available with other remote sensing instruments. This report and the accompanying maps are intended to serve as resources for further multidisciplinary assessments of lithium or other elements or commodities where prospectivity can be inferred from the presence of proxies such as alteration minerals.

Released July 28, 2026 14:20 EST

2026, Fact Sheet 2026-3016

Leah E. Morgan, Kelly D. Thomson, Ian W. Hillenbrand, Amy K. Gilmer

Introduction

Geochronology helps us understand Earth’s history by determining when important events, like volcanic eruptions, the rise of mountains, the formation of mineral resources, and changes in the landscape, happened. Geochronological data directly support geologic mapping and can inform decisions about geologic hazard mitigation, natural resource management, and infrastructure resilience. The U.S. Geological Survey (USGS) Geochron database provides access to more than 300,000 published, publicly available age measurements from more than 40,000 geological samples.

This database is the result of a collaborative effort with State geological surveys and geoscientists from across the globe. The USGS Geochron database is the most comprehensive collection of geochronological data available for the United States. Users can view data through an interactive map explorer, download datasets, and integrate data into geospatial software or other analysis tools.

Released July 28, 2026 11:50 EST

2026, Professional Paper 1879-3

Randall C. Orndorff, Nancy R. Stamm, David R. Soller, editor(s)

This is the third volume in the U.S. Geological Survey (USGS) series of reports on stratigraphy entitled “Stratigraphic Notes,” which consists of short papers that highlight stratigraphic studies, changes in stratigraphic nomenclature, and explanations of stratigraphic names and concepts used on published geologic maps. “Stratigraphic Notes” is a long-term (multiyear), multivolume publication containing articles that address updates or revisions to stratigraphic nomenclature (and whose content ultimately will be incorporated by National Geologic Map Database personnel into Geolex, https://ngmdb.usgs.gov/Geolex/).

We welcome papers for the “Stratigraphic Notes” series from geoscientists of the USGS, of State Geological Surveys, and from academicians. Papers can be submitted for publication in “Stratigraphic Notes” by contacting the USGS Geologic Names Committee ([email protected]). As new “Stratigraphic Notes” volumes are published, links to the volumes will be posted at https://doi.org/10.3133/pp1879.

Released July 28, 2026 11:50 EST

2026, Professional Paper 1879-3-A

Randall C. Orndorff, Mercer Parker, Stephen A. Leslie, John E. Repetski, John T. Haynes

Introduction 

Geologic mapping in the southern Lake Champlain valley of New York and Vermont (fig. 1) has required evaluation of stratigraphic nomenclature used since the early 1900s. The paleogeography of the Cambrian and Ordovician adjacent to the Adirondack Highlands, the high-relief mountains of Proterozoic igneous and metamorphic rocks of northern New York, has impacted the lithostratigraphic succession, facies changes, and several hiatuses that occur within the package of clastic and carbonate rocks that demonstrates overall deepening consistent from the southern to northern Appalachians.

The stratigraphic nomenclature used for the geologic mapping of the Cambrian and Ordovician strata of the study area is derived from evaluation of names put forth by previous workers from areas of northern New York and western Vermont. Descriptions of type localities or type sections and other criteria set forth by the North American Stratigraphic Code (North American Commission on Stratigraphic Nomenclature [NACSN], 2021) were consulted. The North American Stratigraphic Code states that lithostratigraphic units, such as the fundamental unit, the formation, be defined by lithic character and be mappable (NACSN, 2021, Article 24). However, some early workers (Walcott, 1912; Kay, 1937; Fisher and Hanson, 1951; Oxley and Kay, 1959) have defined stratigraphic units based on fossil content, which may or may not be facies dependent, and hence may not be mappable as lithostratigraphic units. Although preservation of older names takes priority in stratigraphic nomenclature (NACSN, 2021, Article 7), some do not have adequately defined stratotypes or are located a distance away with different lithologies than that in the study area. Biostratigraphy can be a helpful tool for understanding correlations and facies changes. Herein, conodont biostratigraphy is utilized to date and correlate separate lithologic units. Further, microfacies analyses of units through inspection of petrographic thin sections provide paleogeographic information that helps in understanding the genesis of geologic units.

Released July 28, 2026 10:00 EST

2026, Scientific Investigations Report 2026-5029

James R. Meldrum, Brian J. Cornish, Jack R. Friedman, Scott J. Chiavacci, Christopher C. Huber, Savanna Craig, Rudy Schuster

This report documents the process and outcomes of a workshop convened by the U.S. Geological Survey in December 2024 to identify cascading postfire hazards and other effects stemming from the 2021 Dixie Fire in northern California and to explore potential intervention strategies. The Postfire Hazards and Consequences Workshop brought together stakeholders with expertise across disciplines relevant to postfire management. The two-day workshop applied the chains of consequences methodology developed by the Department of the Interior Strategic Sciences Group. Workshop participants identified key issues emerging from postfire conditions and discussed actionable strategies to enhance resilience in fire-prone regions. Findings revealed a complex network of interacting consequences, many of which transcended disciplinary boundaries and affected multiple sectors of society, underscoring the systemic nature of wildfire recovery challenges and indicating that long-term planning approaches could be integrated to help reduce society’s risks from wildfire.

Released July 27, 2026 13:50 EST

2026, General Information Product 264

Ashley A. Mills, John P. Isanhart, Kimber Petersen, Samantha L. Foster

Product Information

“Critter Tales: Adventures in Restoration Activity Book” is an interactive educational resource designed for children ages 5–9, produced by the U.S. Geological Survey in cooperation with the U.S. Department of the Interior, Office of Restoration and Damage Assessment. Through the journey of Lulu the loon and a cast of animal friends, young readers explore the importance of ecological restoration across diverse habitats—from sand dunes and wetlands to prairies and streams. 

The activity book blends storytelling, science, and hands-on activities to teach children how restoration efforts help wildlife thrive. Readers learn about native plants, animal life cycles, and the role of restoration in protecting habitats for birds, turtles, butterflies, mussels, and more. Engaging puzzles, coloring pages, and interactive challenges encourage kids to become nature’s helpers, fostering environmental stewardship and awareness. 

With vibrant illustrations and accessible language, the publication highlights practical actions—such as planting native milkweed, using lead-free fishing tackle, and supporting mussel restoration—that empower children to make a positive change in their own communities. The book also introduces basic ecological concepts and celebrates the interconnectedness of living things, making it an ideal resource for families, educators, and anyone interested in environmental education. 

Released July 27, 2026 12:49 EST

2026, Scientific Investigations Report 2026-5040

Derek W. Ryter, Joseph A. Hevesi, Linda R. Woolfenden

The Strawberry Creek watershed, in the San Bernardino Mountains of southern California, features a group of natural springs known as Arrowhead Springs that have been augmented with diversions in the form of sub-horizontal borings and tunnels. Understanding the effects of these structures on streamflow through groundwater capture is crucial for managing surface-water resources in this watershed. In this study, we constructed the Strawberry Creek integrated hydrological model to increase this understanding. The Strawberry Creek integrated hydrological model is an integrated surface runoff and groundwater model, GSFLOW to simulate surface runoff and infiltration and groundwater flow. The model has 263 rows and 176 columns in each of its three layers. The model area includes the Strawberry Creek and four adjacent watersheds. The precipitation-runoff modeling system was calibrated using two streamflow gaging stations, and the groundwater and surface-water flow model was calibrated to the reported spring diversion discharge and a sparse number of groundwater-level measurements. The Strawberry Creek integrated hydrological model was run with and without diversions active, and simulated streamflow was compared, indicating that in the headwaters of Strawberry Creek, about 35 percent of the diversion flow was captured from base flow.

Released July 27, 2026 09:41 EST

2026, Fact Sheet 2026-3007

Mitchell T. Bergeson

Introduction 

In Wisconsin, high-quality elevation data can be utilized for improving agriculture and precision farming, natural resources conservation, and water supply planning, as well as management of flood risk, infrastructure, construction, water quality, forest resources, and many other business uses. Such data can be beneficial for the State’s responses to large rain events, flooding, coastal erosion along the Great Lakes, and urban and suburban development. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.

The 3D Elevation Program (3DEP; refer to sidebar) is managed by the U.S. Geological Survey (USGS) in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better (table 1) to meet the many needs of the Nation and Wisconsin. The status of available and in-progress 3DEP baseline lidar data in Wisconsin is shown in figure 1. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification 2025 Rev. A (https://www.usgs.gov/3dep/lidarspec) or newer requirements. The National Enhanced Elevation Assessment (Dewberry, 2012) identified user requirements and conservatively estimated that availability of lidar data would result in at least $11.18 million in new benefits annually to the State. The top 10 Wisconsin business uses for 3D elevation data, which are based on the estimated annual conservative benefits of 3DEP, are shown in table 2.

Released July 27, 2026 08:45 EST

2026, Nature Communications

Burke J. Minsley, Holly A. Michael, Maxwell A. Lindaman, Lyndsay B. Ball, Stephanie R. James, James R. Rigby, Wade H. Kress, Frank T.C. Tsai, Bennett Eugene Hoogenboom

Elevated groundwater salinity in coastal regions threatens the beneficial use of fresh groundwater. Coastal groundwater management typically focuses on preventing intrusion from modern sources of seawater; however, past geological processes can also leave a legacy of saline groundwater now hidden in the subsurface. Here, multiple extensive airborne electromagnetic surveys provide detailed evidence of residual salinity from a paleo-estuary filling a late Pleistocene incised valley impacting more than 10,000 km² that is now hidden beneath coastal Louisiana’s deltaic plain. Our results show that the three-dimensional pattern of saline groundwater beneath Louisiana mimics that of near-surface aquifers surrounding the modern Delaware Bay estuary, fingerprinting the signature of the past drowning of a large, incised valley of the Mississippi River following post-glacial sea-level rise. These findings demonstrate a new framework for understanding legacy sources of saltwater critical for managing stressed water resources along global coastlines.

Released July 27, 2026 08:32 EST

2026, Geochemistry, Geophysics, Geosystems (27)

Natalie S. Thompson, Beth E. Caissie

Marine Isotope Stage (MIS) 11 (424-374 ka) has long been an analog for Holocene climate, because it is the most recent interglacial period with similar orbital conditions. However, there is significant global and regional variability in the climate response to MIS 11 warmth. Here, we review sediment core records from across the Bering Sea to investigate changes in paleoceanographic conditions during Marine Isotope Stages 12-10. Sea ice was present over much of the Bering Sea during MIS 11, but today, none of the sites investigated are ever ice-covered. This suggests that sea ice regimes in the Bering Sea during MIS 11 were different to those of the Holocene. There are also regional differences in the response of sea ice to MIS 11 warming. At the Umnak Plateau, Southeastern Bering Sea, sea ice concentrations decline during deglaciation, but they remain high at the slope sites until Peak MIS 11. Sea ice re-advances over the Umnak Plateau during peak interglacial warmth, at the same time that it declines over the slope sites. Late MIS 11 is characterized by high concentrations of seasonal sea ice at the Umnak Plateau, whilst sea ice at the slope sites fluctuates between consolidated and unconsolidated ice cover. This east-west dichotomy may be explained by changes in the behavior of the Aleutian Low. Productivity increases dramatically during deglaciation due to increased upwelling and sea level rise bringing fresh nutrients into the oceans. This is characterized by increased diatom productivity, increased terrestrial carbon deposition, and laminations at all sites.

Released July 27, 2026 07:57 EST

2026, Geochemistry, Geophysics, Geosystems (27)

Jordan Edward Lubbers, Matthew W. Loewen, Kristi L. Wallace

The long-term eruptive record of a region helps better elucidate magmatic processes at depth as well as volcanic hazards at the surface. Typically, reconstructing such records is done using proximal tephrostratigraphy and linking individual tephras to source volcanoes. These records, however, can only be accurately constructed if they are both well preserved and correctly linked to source volcanoes—not a trivial task, especially in areas such as Alaska that have experienced numerous glaciation events since the Pleistocene. This ultimately necessitates another way of assessing the long-term volcanic record such that these histories may be better discerned. Here we present data from 70 marine core tephras from the Gulf of Alaska, which have a virtually uninterrupted depositional record going back through the mid-Pleistocene. We utilize compositional data analysis techniques to quantify 37 eruptions over the span of eight cores, machine learning classification and conformal prediction algorithms to assign the most probable volcanic source(s) to each eruption, and multivariate distance-based metrics when machine learning classification algorithms are inappropriate. We find that the Mount Katmai magmatic system is the most probable volcanic source for analyzed tephras and that large volcanic centers such as Mount Katmai, Fisher Caldera, and Emmons Lake volcanic center have produced nearly invariant incompatible trace element ratio magmas, allowing for them to be confidently identified in long-term tephra records. This highlights the utility of trace elements for tephra studies, especially when paired with compositional data analysis, multivariate statistical tests, and petrologically informed discriminants.

Released July 24, 2026 12:57 EST

2026, Scientific Investigations Report 2026-5043

Charles C. Stillwell, Amanda R. Whaling, Kaitlyn E. Elliott, Jeffrey W. Riley

The North Carolina Department of Transportation began a series of highway construction projects to upgrade Interstate 26 (I–26) in Buncombe and Henderson Counties, North Carolina, starting in early 2020. The North Carolina Department of Transportation and the U.S. Geological Survey partnered in 2019 to monitor and assess water-quality and geomorphic conditions throughout the French Broad River corridor in areas near Interstate 26 highway construction activities. This report summarizes findings from multi-year water-quality and channel morphology monitoring from 2019 through 2022 in the French Broad River corridor near ongoing highway construction activities.

Dissolved oxygen, pH, specific conductance, turbidity, and water temperature were monitored at six gaging locations, three of which were near highway sections undergoing construction during the study period from June 1, 2019, through December 31, 2022. Water quality was compared across three monitoring locations before and during construction using Brunner-Dette-Munk statistical tests, a nonparametric form of analysis of variance used for unbalanced datasets. Most Brunner-Dette-Munk test results detected insignificant effects of highway construction on water-quality conditions when controlling for monitoring location, except for the test of daily maximum specific conductance values. However, the effects of highway construction could not be isolated from other external factors that may have affected specific conductance, including an extended period of low streamflow and possible road salt application after winter storms. Additional Brunner-Dette-Munk tests, controlling for flow magnitude (streamflow quantiles) or hydrograph position (“rising limb,” “falling limb,” or “base flow”), did not suggest that highway construction affected water-quality conditions in the study area.

Geomorphic surveys of the streambed and streambanks were performed in a 1-kilometer reach from 2019 through 2022 to assess geomorphic changes during the reconstruction of a bridge spanning the French Broad River. Bathymetric surveys of the streambed and light detection and ranging (lidar) scans of the streambanks were collected from a canoe using motion-compensated, real-time positioning solutions. Initial geomorphic surveys were used as a baseline to which subsequent repeat surveys were compared using geomorphic change detection analysis. Detectable elevation changes were determined using statistically robust thresholds, ensuring only changes exceeding measurement uncertainty were considered for interpretive analyses. Change detection results identified that 16.4 percent of the reach experienced detectable geomorphic change during the study period, with inter-survey changes ranging from 3.5 to 12.4 percent of the total reach. Most detectable change is attributed to the installation and reconfiguration of temporary construction pads; other changes are attributed to enlargement of a scour hole and upstream deposition near the bridge. Although anthropogenic activities and changes in streamflow regime contributed to these observations, the approach used in this study provides confidence that reported values reflect real geomorphic changes and not noise.

Released July 24, 2026 09:29 EST

2026, Fire Ecology

Holly K. Nowell, Kevin M. Robertson, Todd J. Hawbaker, Christopher V. Matechik, Joshua J. Picotte, Melanie K. Vanderhoof, Casey Elizabeth Menick, Karen Cummins, Joesph Noble

Background

The dominant natural habitats in the southeastern United States depend on frequent fire ignited by humans or lightning. However, fire activity has sharply declined in the region since the early 1900s, and reduced fire activity has degraded natural habitats and increased wildfire risk. Identifying changes in fire use during recent decades is necessary to guide the conservation of fire-dependent wildlife, management of hazardous fuels, and identify areas where increased fire use could improve ecosystem resilience. To address this need, we created the Southeast FireMap dataset by fine-tuning the United States Geological Survey’s Landsat Burned Area product to track burned area, and provide a fire history across the southeastern United States. We used the Southeast FireMap data to quantify changes in areas frequently burned, as measured by areas with multiple burns within a decade. We compared the periods 2000–2009 and 2010–2019 to identify where frequently burned area is increasing or declining. We examined patterns of change across ownership, land cover, and soil orders to provide geographic context, and we considered future implications of these changes for land use categories of ecological interest. 

Results

Frequently burned area increased between decades across the region. This increase occurred on both private and public lands, in upland vegetation types, and on upland soils, though these increases were moderately offset by decreased wetland burning and its associated soil orders. However, changes varied among states, with burned area decreasing in some states. 

Conclusions

The overall increase in frequently burned area across the region reflects a summation of positive and negative shifts associated with specific combinations of physiography, ownership class, and government jurisdiction. Southeast FireMap marks a significant advancement in our ability to identify changes in prescribed burning within the geographic and cultural contexts that will likely influence the complex future of fire in the region.

Released July 24, 2026 08:31 EST

2026, North American Journal of Fisheries Management

Scott D. Favrot, Russell W. Perry, Sean W. Kimbrel

Objective

Pacific salmon Oncorhynchus spp. are exhibiting catastrophic declines throughout much of the Pacific Northwest, and juvenile mortality contributions are disproportionately high. Many Pacific salmon smolt populations are exhibiting high natal stream mortality; however, detailed natal stream reach-specific survival knowledge is lacking. Our objectives were to estimate natal stream reach-specific survival and identify influential covariates for spring Chinook Salmon O. tshawytscha smolts. An additional objective was to evaluate (i.e., estimate postrestoration cumulative survival) a novel and strategic large-scale river restoration approach (i.e., stream confluence restoration) in two Pacific Northwest spring Chinook Salmon natal streams.

Methods

Using radiotelemetry techniques during March–June (2011–2017), we estimated natal stream reach-specific survival for spring Chinook Salmon smolts in Catherine Creek and the Grande Ronde River, northeast Oregon. We examined the interrelated influences of temporal, biological, environmental, and geomorphological covariates on the behavior, travel time, and reach-specific survival of spring Chinook Salmon smolts that were emigrating through two hydrologically altered natal streams in the interior Columbia River basin. For each natal stream smolt tag-group, Cormack–Jolly–Seber reach-specific survival estimates that were adjusted for premature tag failure (i.e., bias-corrected) were generated. Subsequently, smolt effects were estimated using reach-specific travel times and survival estimates coupled with individual time-varying covariates from radio-tagged smolts and occupied reaches using an existing predator–prey model (i.e., mean free-path length [XT] model). Complementary population-specific principal coordinate analyses (PCoAs) were conducted to facilitate visualization of multicovariate resemblances in ordination space. Last, we employed our best-fitting XT model to model cumulative changes in smolt survival that were associated with a large-scale stream channel restoration scenario (i.e., restoration of the historical Catherine Creek and Grande Ronde River confluence).

Results

In aggregate, Catherine Creek smolts exhibited high mortality throughout Catherine Creek but near-100% survival upon entering the Grande Ronde River. In contrast, Grande Ronde River smolts generally exhibited low mortality upstream from the Grande Ronde Valley and high mortality throughout the Grande Ronde Valley. Our best-fitting XT model indicated that smolt survival was positively correlated with discharge, body size, and current velocity but negatively correlated with avian predation. Natural-origin smolts from Catherine Creek displayed higher λ-values (i.e., distance between predator–prey encounters) than their significantly larger and faster emigrating hatchery conspecifics, indicating that hatchery smolts may be more susceptible to predation. Our population-specific PCoAs further revealed that novel water (i.e., unique water chemistry) and emigration rate were the strongest predictors of reach occupancy in multivariate ordination space. Under a stream restoration scenario of restoring the historical hydrological template (i.e., restored channel configuration), our best-fitting XT model predicted changes in population-specific cumulative survivals to the lower Grande Ronde Valley (Imbler, Oregon) ranging from −38.4% to 69.0% for Grande Ronde River and Catherine Creek spring Chinook Salmon smolts, respectively.

Conclusions

Our best-fitting XT model and PCoAs identified the relative importance of biological, environmental, and geomorphological factors to both natural- and hatchery-origin Chinook Salmon smolt survival in two neighboring interior natal streams in the Columbia River basin. Our research indicates that concurrent habitat restoration and fish management strategies, including focused attention on smolt-rearing nursery habitat restoration, piscivorous avian control plans, adaptive management strategies for hatchery smolt releases, and discharge and novel water regime restoration projects, may yield survival benefits to “in-basin” Chinook Salmon smolts. Our research can inform origin-type-specific Chinook Salmon smolt management, habitat restoration, and future research decisions throughout the upper Grande Ronde River subbasin and potentially the Pacific Northwest.

Released July 23, 2026 15:25 EST

2026, Circular 1570

Brian N. Shaffer, Michelle N. Johnston, Scott A. Kinney

The U.S. Geological Survey (USGS) compiled a list of coal mines and tabulated the coal reserves and available coal resources beneath Federal lands in the conterminous United States. Coal resources beneath Federal lands in Alaska are also discussed in this report.

In 2024, the 34 coal mines on Federal lands produced more than 261 million short tons of coal. Surface mining is used at 23 of the coal mines, and underground mining is used at 11. These 34 coal mines control more than 4.2 billion short tons of reported coal reserves. Most of the coal mines (31) and more than 98 percent of the reported coal reserves are on Federal lands west of the Mississippi River. Of all the States, Wyoming has the most coal mines on Federal lands (14) and produces the most coal from Federal lands. The Powder River Basin has the most coal mines per basin or coal field operating on Federal lands (12 in Wyoming, 2 in Montana).

Most of the available coal resources in the conterminous United States are also west of the Mississippi River. There are five basins or coal fields in the West that each contain available coal resources of more than 25 billion short tons. The USGS estimates that more than 355 billion short tons of available coal resources remain beneath Federal lands in the conterminous United States.

Alaska contains substantial quantities of coal resources. The USGS estimates that Alaska has at least 140 billion short tons of identified available coal resources but may ultimately have as much as 5.5 trillion short tons of coal resources.

Released July 23, 2026 10:28 EST

2026, Freshwater Science

Justin C. Hockett, Christopher Holmquist-Johnson, Joel G. Murray, Eric W. Kortenhoeven, David M. Merritt, David A. Lytle

Understanding the connection between streamflow and macroinvertebrate community structure is critical for managing river ecosystems under scenarios of change caused by human activities and drought. Streamflow influences physical habitat characteristics, including depth, water velocity, and substrate composition, which structure macroinvertebrate communities. Although strong empirical evidence has linked macroinvertebrates to these variables, most studies are correlative, and predictive approaches that link altered streamflow to changes in habitat availability and community structure remain limited. To address this gap, we coupled benthic macroinvertebrate surveys with reach-scale, 2-dimensional hydraulic models to quantify changes in community structure in response to altered streamflows. We characterized macroinvertebrate communities and physical habitat conditions in riffle, run, and pool mesohabitats across 3 reaches of a free-flowing section of the Verde River (Arizona, USA) over 3 y and developed hydraulic models using overflight data, ground surveys, and streamflow monitoring. Macroinvertebrate communities differed among mesohabitats, with riffles supporting higher macroinvertebrate densities and pools exhibiting higher taxonomic richness. The 2-dimensional hydraulic models indicated that declining streamflows could reduce the area of suitable habitat in riffles and runs relative to pools, potentially shifting the distribution of mesohabitats and altering community composition. These changes may lead to declines in overall macroinvertebrate diversity and abundance under reduced flow conditions. By explicitly linking streamflow to habitat availability and community structure, this study demonstrates how integrating hydraulic modeling with biological surveys can improve predictions of ecological response to flow alteration. This framework provides a basis for flow management strategies aimed at maintaining habitat heterogeneity and supporting biodiversity in river networks.

Released July 23, 2026 08:44 EST

2026, Bulletin of the Seismological Society of America

Sydney N. Dybing, Diego Melgar, Amanda M. Thomas, Dara Elyse Goldberg, David Mencin, Brendan W. Crowell

To disseminate accurate and useful warnings, earthquake early warning (EEW) systems must quickly determine the size and location of an earthquake to estimate expected shaking. Traditional seismic‐based algorithms tend to underestimate the true magnitudes of large earthquakes, a phenomenon known as magnitude saturation. This limitation motivated the recent inclusion of Global Navigation Satellite Systems (GNSS) data into the U.S. Geological Survey’s ShakeAlert EEW system with the Geodetic First Approximation of Size and Time (GFAST) algorithm because GNSS data do not saturate with large ground motions. However, the noise levels of GNSS data are very high compared with traditional seismic data, which obscures P‐wave arrivals and can result in less accurate magnitude estimations if displacement amplitudes are low, such as for lower magnitude earthquakes or large source–station distances. In this study, we develop a deep‐learning model that detects earthquakes in GNSS data and use the Ridgecrest, California, earthquake sequence as a case study to demonstrate how the model could act as a filter to reduce the amount of low‐quality data that enters an algorithm like GFAST. To preserve our limited real earthquake data for model inference, we generated a training dataset composed of >700,000 synthetic displacement waveforms. We combined the synthetic waveforms with real‐time GNSS noise to produce realistically noisy training waveforms and then tested our model on additional synthetic data and performed inference using the real data that were held back. We discuss the performance of our trained model on both the unseen synthetic data and real inference data. Our model can be used to selectively filter only high‐quality data where an earthquake signal is observed for input into an algorithm like GFAST (outperforming a simple signal‐to‐noise ratio–based filter) to reduce the error in GFAST’s real‐time earthquake magnitude estimations.

Released July 23, 2026 07:59 EST

2026, Avian Research

John Y. Takekawa, Diann J. Prosser, Shenglai Yin, Nyambayar Batbayar, Suresh Kumar, Zhijun Ma

Avian migration represents one of nature’s most spectacular phenomena, providing critical ecological services and acting as an indicator of environmental change. Flyways are geographical ranges through which migrating bird species move, and the flyway concept has been used to identify countries that share species to highlight their collective responsibility for conservation. Of the nine recognized global waterbird flyways, the Central Asian Flyway (CAF) and the East Asian–Australasian Flyway (EAAF) are among the most important areas in Eurasia, supporting millions of waterbirds across a vast network of habitats. We proposed this special issue in Avian Research entitled “Global Change and Threats to Waterbirds in the Asian Flyways” to synthesize recent findings from 12 papers covering a wide range of topics. The CAF stretches from the Siberian tundra through Central Asia including Mongolia, the Qinghai-Tibet Plateau, the Trans-Caucasus, and the Himalayas, extending south to the Indian subcontinent and parts of the Middle East. The EAAF spans eastern Siberia and Alaska to Southeast Asia, Australia, and New Zealand, including China, Japan, the Korean Peninsula, and the Russian Far East. These two flyways include 47 countries comprising critical wetlands, river basins, and coastal areas, which are vital breeding, stopover, and wintering grounds for waterbirds. Seasonal migration in these flyways is fundamentally influenced by climate and weather conditions, land cover dynamics, and anthropogenic activities, and contributes significantly to ecological processes such as pest control, nutrient cycling, and organism dispersal. However, migratory waterbirds and their habitats are undergoing enormous challenges. Changes in climate, habitat availability and connectivity, and human activities are altering the phenology, distribution, population dynamics, and health of the migratory bird populations. As migratory waterbirds travel across international boundaries, understanding their movements and responses to environmental change requires collaborative, cross-border research efforts that promote knowledge sharing and interdisciplinary approaches.

Released July 22, 2026 14:10 EST

2026, Scientific Investigations Report 2026-5035

Sarah E. Whipple, Katherine A. Kurth, Catherine A. Nikiel, Andy J. Maguire, Jay R. Alder, Julian. J.T. Reyes, Julian A. Scott, Sarah K. Carter

Executive Summary

Artificial intelligence (AI) is rapidly transforming industries and economies, creating an urgent need to strategically plan for the energy and infrastructure required to support increasing AI use. U.S. Federal agencies and bureaus have been directed to explore ways to accelerate permitting, development, and deployment of energy resources and AI technologies, including encouraging the colocation of energy infrastructure and data centers. To inform these initiatives, this report synthesizes relevant scientific information and presents a spatial analysis of existing energy infrastructure and data centers on or near U.S. Federal public lands managed by the Bureau of Land Management (BLM). The purpose of this science synthesis and spatial analysis is to provide the BLM with foundational information for considering potential colocation of data centers with energy infrastructure on Federal public lands to support evidence-based decisions. Additionally, this report provides insight into current (2025) and potential future energy demands by providing projections of a range of potential future environmental conditions relevant to maintaining industry-recommended cooling temperature standards necessary for efficient data center operations.

As a part of this effort, a rapid response literature review was conducted of the best available science on the topic of data center development and energy infrastructure in July–August 2025, supplemented by additional resources recommended by U.S. Federal agency and bureau subject matter experts (hereafter experts; including the U.S. Department of Energy National Laboratory of the Rockies) and peer reviewers. To better understand current conditions relevant to AI data center development, a spatial analysis was conducted across Alaska and 11 States in the Western United States, Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming, all of which contain extensive BLM-managed surface lands (hereafter referred to as “BLM lands”) that could be considered for the colocation of energy infrastructure and AI data centers. This effort identified BLM lands within 10 miles of existing transmission lines, consistent with methods used in previous BLM programmatic environmental impact statements.

This report describes the types of data centers operating within the United States, which vary in ownership, size, technology, and proximity to end users. This report then outlines the primary considerations of data center development, including reliable energy supply, natural resources (such as water availability to support cooling requirements), and relevant policy and regulatory considerations.

Energy supply considerations are pivotal for data center operation. Between 2014 and 2018, data centers in the United States accounted for nearly 2 percent of the Nation’s total electricity consumption, and data center energy consumption is projected to increase from 2 to 6.7–12 percent of total U.S. electricity use by 2028. These energy requirements necessitate careful consideration of energy supply when considering potentially suitable locations for data center development. Experts anticipate that an increase in renewable energy generation will likely support most potential future power demand needs, including for data centers, followed by increases in natural gas, nuclear, and geothermal energy production. Additional capacity in the form of battery storage will likely not generate electricity, but may improve the reliability and flexibility of supply, helping to ensure that growing data center loads can be met. However, the U.S. Department of Energy estimates that the United States will need, on average, 57 percent more energy transmission infrastructure by 2035 to account for the growing power demand introduced by development such as data centers.

Cooling server equipment in data centers requires large amounts of electricity and water, and this demand can be exacerbated by hot and humid conditions. Energy efficient water-based cooling technologies may reduce electricity consumption onsite but require more water consumption. This additional water demand has the potential to increase water stress and competition with other users. As such, developing data centers will likely need a thorough assessment of current and potential future water availability, as well as consideration of how water demand may change across other sectors.

Data center development involves policy and regulatory considerations, as projects must undergo environmental review and authorization processes that can take 18–24 months. Coordinating these environmental reviews and authorizations with other energy development projects, such as building new transmission lines, may cause additional delays. Recent efforts by the U.S. Department of Energy and U.S. Department of the Interior aim to expedite environmental reviews and authorizations and improve coordination across agencies.

The spatial analysis identified 771 existing AI data centers and more than 3,300 power plants. The spatial analysis found that 6 percent of AI data centers and 22 percent of power plants in the Western United States were on or within 1 mile of BLM lands, and California had the largest number of facilities. Most existing AI data centers were near high-voltage transmission lines and close to power plants, supporting efficient energy delivery. More than 90,000,000 acres of BLM lands were within 10 miles of existing high-voltage transmission lines, representing 38 percent of BLM lands in the study area. Available transmission infrastructure and the overlap with BLM lands varied by State, and Alaska had limited overlap compared to the rest of the Western United States.

To operate most efficiently, data center temperatures must be at or below 80.6 degrees Fahrenheit. This analysis of future temperature and precipitation projections indicated increasing cooling demands for data centers, particularly in Arizona, California, and Nevada, where rising temperatures are expected to increase energy and operational costs while potentially stressing current regional electrical grid infrastructure.

This report highlights relevant energy supply, natural resources, and regulatory considerations for data center development on BLM lands. This report does not provide a comprehensive ecological, regulatory, land suitability, or permitting analysis. The factors described here are contextual considerations only and are not intended to identify, rank, quantify, or recommend optimal areas for data center colocation. This spatial analysis focused solely on energy considerations relevant to data centers and did not consider water availability, critical habitats, BLM National Conservation Lands, areas of cultural or historical significance, and other sensitive resources. These topics are recognized as critical but were not within the scope of this science synthesis and spatial analysis.

Released July 22, 2026 08:39 EST

2026, Journal of Animal Ecology

Paul C. Cross, Blake Lowrey, Matthew J. Kauffman, Evelyn Merrill

1. Rare long-distance movements can increase the spatial spread of invasive species and shifts in species ranges. However, in the context of wildlife disease spread, seasonal migrations only matter if they lead to transmission beyond an individual’s initial set of contacts, and the importance of juvenile dispersal depends on whether those juveniles become infected before they disperse.

2. High resolution animal movement data are increasing, but it is unclear how to leverage these data to improve predictions future disease spread particularly in regions without pre-existing movement data. 

3. We predicted the speed of chronic wasting disease (CWD) spread based on movement metrics of mule deer (Odocoileus hemionus) and white-tailed deer (Odocoileus virginianus) and compared our predictions to observed spreading rates in North America from 2005 to 2022. We hypothesized that CWD should spread faster in regions with long-distance migratory mule deer, but this hypothesis was only partially supported. 

4. Observed rates of CWD spread were faster in western epicenters with more mobile mule deer than in epicenters with only white-tailed deer (14-18 km/yr compared to 5-7 km/yr, respectively). However, the observed speed of CWD spread did not align well with migration distances. Deer movements in the Canadian Prairie Provinces (CPP) were far shorter than those in Colorado and Wyoming, yet had faster CWD spread much of which was open prairies where deer movements tend to be along riverine corridors rather than the longer elevational migrations in more montane regions.

5. Generally, our predicted rates of CWD spread from three different models were far slower than the observed rates regardless of whether the model included dispersal or migration. Understanding of these discrepancies is needed before high-resolution animal movement data can be used to predict broad-scale patterns of disease invasion.

6. Anthropogenic movements likely explain longer-distance movements of CWD across North America, but it remains unclear whether human-mediated movements or alternative analytical methods and deer movement metrics can explain the faster than predicted local CWD spread.

Released July 22, 2026 07:46 EST

2026, Science of the Total Environment (1048)

Bryant C. Jurgens, Michael T. Wright, Kirsten Faulkner, George L. Bennett V

The fumigant pesticide 1,2-dibromo-3-chloropropane (DBCP) was widely used in California agriculture during the 1960s and 1970s before being banned in 1979. Despite this ban, DBCP continues to contaminate groundwater due to its persistence and mobility. This study evaluates the distribution, historical trends, and projected persistence of DBCP in California using data from over 13,000 public supply wells and additional domestic, irrigation, and observation wells (1980-2022). Since 2010, DBCP has been detected in 9% of public supply wells statewide, with higher frequencies in the San Joaquin Valley (21%) and upper Santa Ana River watershed (13%), where DBCP use was most prevalent. Approximately 70% of wells had decreasing concentration trends, whereas increases were more common in deeper wells, indicating downward vertical migration of the DBCP front. Groundwater age estimates show that recharge timing aligns with the 1960s–1970s loading period, enabling reconstruction of peak inputs and providing a basis for age based modeling. To estimate future persistence, we applied a one dimensional advection–dispersion model that simulates long term declines in peak concentrations based on groundwater age, historical loading, and a 38 year degradation half life. Model projections suggest that concentrations above the maximum contaminant level may persist in a declining number of wells until approximately 2080 (range: 2048–2109), with longer persistence in the San Joaquin Valley. The simplified modeling framework, based on age distributions typical of wells capturing peak concentrations, can provide practical regional scale assessment of non-point source contaminants where long-term monitoring exists. This study highlights how the legacy of DBCP contamination will likely affect California's groundwater resources throughout the 21st century.

Released July 21, 2026 10:40 EST

2026, Ecosphere (17)

Sarah Nelson Sells, Michelle McLellan, Jason I. Ransom, Andrea Lyons, Mackenzie Clarke, Clayton D. Apps

Grizzly bears (Ursus arctos) were once numerous in the North Cascades transboundary region of Washington State (United States) and British Columbia (Canada); however, few remain today. To support ongoing reintroduction evaluations, we used simulations based on movement models developed in the Northern Rocky Mountains to predict habitat use by a small founding group of grizzly bears in the North Cascades during the early stages of reintroduction. These simulations represent movements across a spatially explicit landscape based on individual-specific selection and movement parameters. We first evaluated predictive performance in three nearby populations of grizzly bears in the Squamish-Lillooet, McGillvary Mountains, and North Stein-Nahatlatch regions of the Coast Mountains, British Columbia. After applying an elevation-based calibration, predicted habitat use showed strong agreement with GPS location data from 73 collared bears. Across population–sex subgroups, Spearman rank correlations were ≥0.95, with 69.2%–83.3% of locations occurring within the top five habitat classes (covering 50% of mapped habitat) and 17.1%–36.2% in the top class (representing 10%). Overall, 24.5% and 77.9% of locations fell within the top class and top five classes, respectively. Seasonal validation showed strongest predictive performance from May to late summer or fall. Model predictions for the North Cascades indicate that habitat use during early reintroduction is likely to be concentrated in the central and northern mountainous portions of the ecosystem along the US–Canada border. These maps can guide recovery planning when no local bear data are yet available in the North Cascades transboundary region.

Released July 20, 2026 13:03 EST

2026, Scientific Investigations Map 3550

Allan K. Clark, James A. Golab, Robert R. Morris, Alexis P. Lamberts

During 2023, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, revised an initial characterization completed during 2015–16 of the geologic framework, hydrostratigraphy, and ichnology of the Edwards and Trinity aquifers in the Blanco, Payton, and Rough Hollow 7.5-minute quadrangles in Blanco, Comal, Hays, and Kendall Counties, Texas. The purpose of this report is to present the updated geologic framework, hydrostratigraphy, and ichnology of the Trinity and Edwards Groups in those quadrangles. Rocks exposed in the study area are of the Lower Cretaceous Trinity Group and lower part of the Fort Terrett Formation of the Lower Cretaceous Edwards Group. The faulting and fracturing in the study area are part of the Balcones Fault Zone, an extensional system of faults active during the Paleocene to middle Eocene that generally trends southwest to northeast in south-central Texas.

Hydrostratigraphically, the rocks exposed in the study area contain a section of the Edwards (Balcones Fault Zone) aquifer, upper zone of the Trinity aquifer, and middle zone of the Trinity aquifer. In the study area, the only hydrostratigraphic units of the Edwards (Balcones Fault Zone) aquifer remaining are (from top to bottom) VII and VIII, which cap several hills. The mapped hydrostratigraphic units of the upper zone of the Trinity aquifer are (from top to bottom) the cavernous, Camp Bullis, upper evaporite, fossiliferous, and lower evaporite. The mapped hydrostratigraphic units of the middle zone of the Trinity aquifer are (from top to bottom) the Bulverde, Little Blanco, Twin Sisters, Doeppenschmidt, Herff Falls (where present), Rust, Honey Creek, Hensell, and Cow Creek hydrostratigraphic units.

Released July 20, 2026 12:42 EST

2026, Scientific Investigations Report 2026-5133

Aubrey R. Bunch, Dawn R. Piotrowski, Christopher M. Kephart, Jeffrey W. Frey

The U.S. Geological Survey, in cooperation with the Indiana Department of Environmental Management, sampled a 1-mile stream reach of School Branch in Hendricks County, Indiana. Sampling consisted of 24 tile drain sites and surface-water sites both upstream and downstream from the tile drains. This study intended to (1) assess the variability of discharge, nutrients, and Escherichia coli (E. coli) among tiles within a stream reach in variable conditions; (2) define how the tiles affect the stream hydrology and water quality; and (3) determine potential management implications. Samples were collected on three dates—round 1 on June 12, 2018, after fertilizer was applied; round 2 on September 11, 2018, in fall harvest conditions; and round 3 on April 16, 2019, before fertilizer was applied—to encompass differing precipitation events, multiple seasons, and field conditions. Sites were sampled for water-quality parameters, dissolved and total nutrients (ammonia, nitrate plus nitrite, total nitrogen, orthophosphate, and total phosphorus), E. coli, and instantaneous discharge. Instantaneous nutrient loads were calculated from tiles and at the upstream and downstream surface-water sites.

Nutrient concentrations and instantaneous loads varied depending on the tile and the sampling date. Tiles contributed between 26.5 and 66.0 percent of increased discharge between the surface-water sites. Tiles contributed between 34.7 and 87.4 percent and between 19.7 and 65.9 percent of the increased total nitrogen and phosphorus loads, respectively, for the downstream site relative to the upstream site. Most of the total nitrogen and total phosphorus from the tiles was in the dissolved forms (nitrate plus nitrite and orthophosphate). Surface-water samples had a nitrate plus nitrite to total nitrogen ratio of 71 to 93 percent, with an average of 82 percent; tile samples ranged from 44 to nearly 100 percent, with an average of 91 percent dissolved nitrogen. Surface-water samples had an orthophosphate to total phosphorus ratio of 30 to 65 percent, with an average of 53 percent; tile samples ranged from 32 to nearly 100 percent, with an average of 85 percent dissolved phosphorus.

E. coli was detected in all but 5.79 percent of tile and surface-water samples. The E. coli results indicated the possibility of human or animal fecal contamination by way of septic systems leaking or directly linked to the tiles draining into the study area. Consequently, five microbial source tracking samples were collected from the upstream and downstream surface-water sites between August 3, 2021, and May 18, 2022. Human, canine, ruminant, and avian sources of fecal contamination were evaluated. The microbial source tracking samples indicated that human-specific sources are likely consistently contributing to elevated fecal contamination.

Differences in discharge, nutrient concentrations, nutrient loads, and E. coli concentrations show that many factors affect how tiles alter the hydrology and water quality of receiving waters. The timing and severity of precipitation events, season, and the antecedent conditions of the field or watershed before sampling can affect the results. Tiles with the largest discharge rate had the most potential effect on the water quality and quantity of the stream. Targeting high-flowing tiles may affect efforts to improve overall water quality.

Released July 20, 2026 10:44 EST

2026, Oceanography (39) 17-33

Peter Harris, Dawn Wright, Kevin Butler, Keith VanGraafeiland, Mark Costello, Kerry Howell, Gustav Kagesten, Vanessa Lucier, Miles Macmillan-Lawler, Roger Sayre

Effective management of deep-sea ecosystems and the high seas is hindered by the absence of a globally consistent framework for characterizing benthic habitats. Here we present the first global ecological classification of the seafloor, comprising 250 unique ecological benthic units (EBUs), distributed on the seafloor as nearly 700,000 EBU polygon occurrences, generated by intersecting a high-resolution geomorphic map with multivariate environmental seascapes. Using 17 million seafloor data points and 0.05° resolution biophysical datasets—including bottom temperature, dissolved oxygen, pH, carbon flux, sediment thickness, crustal age, and bottom currents—we identified 57 benthic regions across six major geomorphic groups (shelves, slopes, seamounts/guyots, spreading ridges, abyssal/hadal areas, plateaus). The resulting EBUs reveal previously unrecognized ecological gradients, quantify global patterns of benthic heterogeneity, and expose large-scale environmental vulnerabilities. Notably, we find that 95.6 million km² (26% of the ocean area) of abyssal seafloor lies below the carbonate compensation depth, that 4.16 million km² (1% of the ocean) of continental slopes intersect severe oxygen minima, and <1% of seamounts occur in seascapes most environmentally favorable to life. These insights provide a powerful basis for identifying rare habitat configurations, assessing exposure to climate-driven stressors, and prioritizing areas for high seas marine protected area planning, as well as a policy-relevant foundation for environmental impact assessment and biodiversity baseline proxies under the new United Nations High Seas Treaty.

Released July 20, 2026 10:15 EST

2026, Chemical Geology (714)

Robert Gregory McDermott, Douglas C. Kreiner, James V. Jones III, Sean P. Regan, James R. Metcalf, Rebecca M. Flowers

Magnetite is ubiquitous in porphyry Cu systems and in sediment sourcing both barren and mineralized regions, with potential as an indicator mineral in concealed and coarsely-mapped terranes. We develop and test a workflow for integrated geochemistry and (U–Th)/He (He) dating for inferring detrital magnetite (DMt) provenance in these settings. The ca. 70 Ma Taurus porphyry Cu–Mo(–Au) district in eastern interior Alaska serves as a test case. DMt from streams draining porphyry-related mineralization was characterized by geochemistry and mineral inclusion and microstructure observations, complemented by similar data for potential porphyry and host rock sources. Principal component analysis and clustering of DMt geochemical data resolve multiple populations in our samples geochemically and texturally compatible with derivation from metamorphic, porphyry-related hydrothermal, and igneous sources. Hydrothermal magnetite comprises ∼16–50% of DMt nearest porphyry mineralization but diminishes to ∼4% ∼15 km downstream. Subsampled grains within populations yield ∼160–110 Ma, ∼70 Ma, ∼55 Ma, and ∼20 Ma magnetite He date modes. Combined with provenance, He dates capture Early Cretaceous regional exhumation of metamorphic host rock and Late Cretaceous porphyry Cu mineralization. DMt grains showing partial hematite replacement yield ca. 55–20 Ma dates regardless of source, overlapping regional warm/wet climatic intervals. We interpret Cenozoic dates to reflect exhumation to near-surface oxidizing conditions and(or) supergene weathering. Magnetite is thus a promising target phase for (1) tracking the spatiotemporal distribution of porphyry systems, and (2) linking the formation and exhumation of these systems to a regional geologic history, both in Alaska and globally.

Released July 20, 2026 09:53 EST

2026, Preprint

Jonathan D. Cook, Annabelle Stanley, Brittany A. Mosher, Nicholas Fortin, Katherina Gieder, David Sausville, John Austin, Steve Agius, Tim Appleton, Jaclyn Comeau, Kristin Haas, Paul Hamelin, Melanie Kunkel, Natalie Kwit, Megan Cahill, Shawn Langston, Matt Leonard, Kaitlynn Levine, Katherine McNamara, Meredith Naughton, Frederick Pogmore, Justin Stedman, Ken Sturm, Michael C. Runge

Chronic wasting disease (CWD), a fatal, transmissible disease in white-tailed deer (Odocoileus virginianus) and related species, is spreading across North America but has not yet been detected in Vermont, United States (U.S.). The Vermont Department of Fish and Wildlife, along with partner agencies, wants to develop a proactive prevention and response plan in anticipation of the eventual detection of the disease. Between September 2023 and September 2025, staff from the U.S. Geological Survey and the University of Vermont facilitated a structured decision-making (SDM) process with seven State and Federal agencies that have jurisdiction over some aspect of CWD management in Vermont. The aim of this process was to generate and evaluate alternative response plans against a range of long-term objectives important to the agencies. To aid in the evaluation of the alternatives, we developed a linked set of models for white-tailed deer population and disease dynamics, hunter participation and health, forest health, economic consequences, and agricultural opportunities related to the actions being contemplated as part of the response plan. We evaluated over 256 different permutations of management actions and used multi-criteria decision analysis, a branch of decision analysis designed to help decision makers navigate tradeoffs among competing objectives, to summarize the performance of those alternative strategies against the desired outcomes. Proactive actions—those designed to slow the arrival of CWD to Vermont—were moderately effective, but the most important proactive action was surveillance to detect the disease early after arrival, which triggered response actions after detection. With the insights generated by the SDM process and the results of the analyses, the participating agencies were able to identify a preferred strategy and outline the elements of a proactive response plan. This report describes the SDM process, the technical details of the modeling work, and the results of the analyses. It is intended to serve as the technical basis for Vermont’s response plan.

Released July 20, 2026 09:50 EST

2026, Open-File Report 2026-1021

William S. Beatty, Luke J. Fara, Kristin Hall, Kevin P. Kenow, Timothy S. Mitchell, Michael J. Wellik

In cooperation with the Minnesota Department of Natural Resources, the U.S. Geological Survey monitored 98 Gavia immer (common loon) focal territories and 43 nonfocal territories in north-central Minnesota in 2025. Focal territories are those sampling units from which study inferences can be made. Nonfocal territories were adjacent to focal territories and were observed to monitor common loon dynamics across an entire waterbody. In collaboration with lake associations and private citizens, we deployed 44 artificial nesting platforms to 44 focal territories, called treatment territories. Territorial surveys to monitor occupancy, nesting, and chick survival were completed between April 27 and August 14, 2025. We attempted to visit each focal and nonfocal territory once per week. At least 1 nest attempt was observed in 40 of 54 control territories and 37 of 44 treatment territories. In treatment territories, 14 nests were on an artificial nesting platform, and the remaining nests were on natural substrates. Chicks or other evidence of hatching were observed in 20 of 54 control territories (37 percent) and 28 of 44 treatment territories (64 percent). Twelve of those successful nests in treatment territories were on artificial nesting platforms.

Released July 20, 2026 09:13 EST

2026, Report

Emily Dawn Heaston, Nathan Chelgren, Sean Winter, Sherri L. Johnson, Jason Dunham, Kristin Jaeger

No abstract available.

Released July 20, 2026 08:26 EST

2026, Physical Review Letters (137)

Hiroshi Sakuma, Diane E. Moore, David A. Lockner, Toshihiro Kogure

The Amontons-Coulomb friction law assumes that the frictional force between materials is independent of sliding velocity. However, as Coulomb noted, this is a rough approximation, and a second-order dependence of friction on the logarithm of sliding velocity is incorporated in a commonly used ‘rate- and state-dependent’ friction representation. Here we conduct shear experiments on mica, a layer-structured mineral, at temperatures ranging from 25 to 200ºC and under normal stress of 100 MPa. The friction coefficient clearly depends on the logarithmic sliding velocity at 25ºC, but rate sensitivity decreases with increasing temperature until at 200ºC, the friction coefficient is independent of sliding velocity. Our findings could initiate the development of velocity-independent frictional materials, realizing the ideal Amontons-Coulomb friction.

Released July 19, 2026 09:39 EST

2026, Frontiers in Marine Science (13)

Margaret E. Martinez, Pádraig J. Duignan, Katherine C. Prager, Cara L. Field, Mary E. Gomes, Rinosh Mani, Lilian P. Carswell, Tim Tinker, Joseph A. Tomoleoni, Michael J. Murray, Ri K. Chang, Lloyd-Smith O. James

Leptospira interrogans serovar Pomona infections cause periodic outbreaks in California sea lions (CSLs; Zalophus californianus) and sporadic deaths in phocids. However, the frequency of infection and associated health impacts remain uncharacterized in sympatric threatened southern sea otters (SSOs; Enhydra lutris nereis), which serve as important sentinels of coastal health. Given the broad impacts of L. interrogans on other marine mammals, our objective was to screen selected SSOs for infection, determine whether leptospirosis contributes to SSO mortality, and describe leptospiral-associated lesions. A retrospective review (2005–2025) identified 19 candidate cases that underwent detailed review, including Leptospira immunohistochemistry (IHC), serology, and polymerase chain reaction (PCR), with a special focus on renal and hepatic lesions. Kidney samples were PCR-positive for 74% (14/19) of suspected cases. For eight of these, DNA sequence-based serogroup typing detected L. interrogans serogroup Pomona. Seven of the 14 PCR-positive leptospirosis cases were classified as fatal based on positive renal IHC and moderate to severe tubulointerstitial nephritis. All fatal cases had anti-L. interrogans serovar Pomona antibody titers ≥1:25,600. The remaining seven PCR-positive cases were considered nonfatal leptospirosis due to minimal and/or unrelated renal lesions and negative IHC. Nonfatal Leptospira-infected cases ranged from seronegative to low positive (1:400) for serovar Pomona. Antibody titers for Leptospira PCR-negative cases were negative. In fatal cases, gross renal changes were often inapparent or characterized by miliary white cortical foci. Renal histologic lesions included tubulointerstitial nephritis, acute tubular necrosis, and suppurative tubulitis with intratubular bacteria, along with positive IHC staining for leptospiral antigen in the lesions. Gross hepatic changes were also inapparent in fatal cases, and histologic lesions were rare, characterized in one animal by hepatocellular dissociation and in two sea otters by limited leptospiral antigen detection by IHC. Most Leptospira-infected sea otters (71%, 10/14) stranded during higher rainfall months in California, suggesting possible land-to-sea transmission from terrestrial hosts. Given these findings, and because L. interrogans serovar Pomona infections have been confirmed in sympatric CSLs and terrestrial mammals from adjacent watersheds, a focused investigation of potential marine and terrestrial disease transmission dynamics could provide new information to reduce SSO mortalities.

Released July 18, 2026 08:22 EST

2026, Journal of Applied Ecology (63)

Heather E. Johnson, John P. Severson

1. Mitigation measures are commonly employed to reduce the negative effects of industrial development on wildlife but are not often evaluated for their efficacy. For example, oil fields in the Arctic typically incorporate design features intended to increase permeability for migratory, barren-ground caribou (Rangifer tarandus), even though there is limited empirical evidence of the effectiveness of some of these features. 

2. Given expected increases in energy development in the North American Arctic, we examined whether two mitigation measures commonly used for migratory caribou, elevating pipelines and separating roads and pipelines, were effective at increasing the probability caribou would cross infrastructure.

3. We conducted our investigation on adult female caribou in the Central Arctic Herd of Alaska during summer, analyzing movement data from telemetry collars (2015-2020) in conjunction with spatial data on oil field infrastructure. To evaluate whether caribou would cross infrastructure as a function of the mitigation measures, we employed a generalized additive modeling framework capable of detecting non-linear and threshold responses.

4. We found that caribou were more likely to cross a pipeline when the nearest pipeline was elevated (≥1.9-m), a result that supports current mitigation recommendations. We also found that caribou were more likely to cross both a road and pipeline when they were directly adjacent to one another, as opposed to being spatially separated, a result that contradicts recommended mitigation strategies.

5. Synthesis and applications. As new energy projects are designed and implemented in environments around the globe, it is important to ensure that mitigation efforts for wildlife are scientifically validated for their efficacy. In the North American Arctic, such efforts will be critical for minimizing the impacts of expanding industrial development on migratory caribou and on the human communities that rely on them for subsistence.

Released July 17, 2026 15:57 EST

2026, Scientific Investigations Report 2026-5015

Geoffrey Cromwell, Nicole F. Cook, Christina L. Stamos, Sarah U. Neuhaus, Christopher P. Ely, Eric White

Research and testing within the Air Force Research Laboratory at Edwards Air Force Base in the southwestern Mojave Desert has been conducted since the 1950s. This testing requires large quantities of groundwater for cooling and operations involving hazardous constituents that have entered the groundwater. To better understand the potential movement of contaminants through the groundwater system, the U.S. Geological Survey entered into a cooperative agreement with the U.S. Air Force Civil Engineer Center with the purpose of (1) gaining a more detailed understanding of the hydraulic connection between the unconsolidated basin-fill sediment and the underlying weathered and crystalline bedrock and (2) investigating faults and their potential effect on groundwater flow. This study was specific to the Arroyos subarea and Northeast Air Force Research Laboratory subarea of the Air Force Research Laboratory. The refined hydrogeologic characterization was derived by evaluating surface geologic maps, a regional gravity model, new subsurface geophysical surveys, lithology data from boreholes, and groundwater-level data.

Refinement of the hydrogeologic characterization of the study area involved developing a map of basin-fill sediment thickness, estimating the geometry and depth to bedrock, determining the presence of weathered bedrock material, and identifying the location of faults and subsurface structures. The thickness of basin-fill sediment was derived from a regional gravity model. Basin-fill sediment ranges from less than 20 feet (ft) thick to about 150 ft thick and increases substantially toward a deep structural basin in the northwestern part of the study area. The top of bedrock estimated from the new surface geophysical surveys is generally deeper than the top of bedrock from the regional gravity model. These differences in interpreted bedrock tops indicate that there may be a zone of weathered bedrock in the subsurface, overlying crystalline bedrock. Additional subsurface data evaluating the geometry and thickness of weathered bedrock are necessary for a comprehensive evaluation of weathered bedrock in the study area. Previously unmapped extensions of the Leuhman Fault, Spring Fault Zone, and Boron Gate Fault were identified in the new surface geophysical surveys.

Evaluation of groundwater flow between bedrock and basin-fill sediment, and the effects of faults on groundwater flow, was done using groundwater-level data from 2020. The groundwater table was in crystalline bedrock throughout most of the Arroyos and Northeast Air Force Research Laboratory subareas, with a few exceptions where it was in basin-fill sediment and weathered bedrock. Basin-fill sediment, and likely weathered bedrock, was partially saturated in parts of the study area where basin-fill sediment was as thick as 150 ft. Weathered bedrock material may be present near the Spring Fault Zone, and if so, was likely saturated in 2020. The groundwater-level data near and within Spring Fault Zone indicate that the Spring Fault Zone acts as a vertical-along-strike conduit for, and as an across-strike impediment to, groundwater flow. In addition, steep groundwater-level gradients in the southeastern part of the study area indicate that a subsurface structure affecting groundwater flow could be related to the Leuhman Fault. Sufficient groundwater-level data were not available to conclusively determine if the Arroyos, Rich, and Boron Gate Faults, and their inferred extensions from the geophysical surveys, affect the movement or direction of groundwater flow.

Released July 17, 2026 12:54 EST

2026, Scientific Investigations Report 2026-5119

Heidi L. Kane, Scot K. Izuka, Kolja Rotzoll

The Waihe‘e-Kahaluʻu watershed and surrounding areas lie in a dike-impounded groundwater setting of the Ko‘olau Range, O‘ahu, Hawai‘i, where groundwater withdrawal from wells and tunnels have resulted in reductions in streamflow. Resource managers and surface-water users seek information that can be used to balance the needs of competing uses of groundwater and streamflow in the watershed. This study assesses the effects of four groundwater developments in the Waihe‘e-Kahalu‘u watershed—Kahaluu Tunnel, Waihee Tunnel, Kahaluu Well, and Waihee Incline Wells—on Kahalu‘u and Waihe‘e Streams. Analyses of historical streamflow, withdrawal, and rainfall data indicate that base flow (the component of streamflow that is supplied from groundwater discharge) in Kahalu‘u and Waihe‘e Streams decreased in response to withdrawals from wells and tunnels within and outside the watershed. Groundwater-model simulations indicate that shutdown of selected tunnels and wells in the Waihe‘e-Kahaluʻu watershed will result in increases of groundwater discharge, but not all of the increase will occur in streams within the watershed; increases will also occur in streams outside the basin, the ocean, and tunnels other than those that were shut down. The analysis of historical data and model simulations is consistent in showing that the effects of withdrawal changes on streams are not constrained by the topographic boundaries of watersheds. Stream base flows in the Waihe‘e-Kahalu‘u watershed are subject to a complex interaction of multiple withdrawals from wells and tunnels installed at various times within and outside the watershed. The correspondence between withdrawals and base-flow changes is consistent with the conceptual model and understanding of the connection between groundwater and streamflow in the dike-impounded groundwater setting of the Waihe‘e-Kahalu‘u watershed and the Ko‘olau Range.

Released July 17, 2026 11:03 EST

2026, Scientific Investigations Report 2026-5041

Kenneth D. Skinner, Paul M. Thomas, Stephen A Hundt

The Idaho Department of Environmental Quality (IDEQ) is responsible for assessing the source water for public water supply systems including the delineation of source water assessment areas for wells, which are defined as the subsurface areas contributing water to a well during a period of time. Part of the IDEQ assessment plan is to update source water assessments over time. The U.S. Geological Survey (USGS) developed a new groundwater-flow model for part of the western Snake River Plain aquifer in southwestern Idaho. This groundwater- flow model provided a new opportunity for IDEQ to update source water assessment for public water supply wells within the model boundary.

The USGS, in cooperation with IDEQ, used the USGS Treasure Valley Groundwater Flow Model along with a MODPATH particle tracking post-processing program to reassess public-water supply source water assessment areas. The USGS created an automated script that requests a well location, depth, and pumpage rate, and then incorporates that information into the Treasure Valley Groundwater Flow Model combined with the MODPATH model to create 3-, 6-, and 10-year time of travel zones that are output to a geographic information system shapefile. The TVSWA_Delineator script provides a fast, transparent tool for IDEQ to reassess or create new public-water supply source water assessment area delineations based on new and updated information and is available as a Python script and a Windows executable with the compiled script and all necessary components.

TVSWA_Delineator utilizes a quadtree approach to rediscretize the Treasure Valley Groundwater Flow Model grid around the pumping well location from 1-mile cell lengths telescoped down to 1/16 mile. This rediscretization increases the source water assessment area delineation resolution near the pumping well and minimizes the effect of weak sinks in the MODPATH model. The stress inputs for each month of the final 10 years (2006 to 2015) of the Treasure Valley Groundwater Flow model historical simulation were averaged for the particle tracking analysis. The MODPATH model used backwards tracking of particles released at each stress period to create the source water assessment area delineations. This report documents the creation of the TVSWA_Delineator Python script, including adaptations made to the Treasure Valley Groundwater Flow Model, creation of a companion MODPATH model, and post-processing results to provide source water assessment areas.

Released July 17, 2026 10:21 EST

2026, International Journal of Wildland Fire (35)

Micah C. Wright, Phillip J. van Mantgem, Christopher Y.S. Wong, Derek J.N. Young, Saba J. Saberi, Andrew M. Latimer, Joseph A.E. Stewart, Adrian J. Das, Calvin A. Farris, Emma J. McClure, Lauren N. Youngblood, Hugh D. Safford, Kristen L. Shive

Background

Failure to account for tree size when estimating burn severity may not accurately capture post-fire tree mortality and post-fire forest structure.

Aims

We explored whether basal area mortality by tree size class could be determined from remotely-sensed burn severity indices based solely on Sentinel-2 satellite imagery. 

Methods

We used data collected in four large California wildfires to model the relationship between proportional basal area mortality and burn severity indices derived from Sentinel-2 imagery for three tree diameter class thresholds: small (15 to 30 cm), medium (30 to 50 cm) and large (>50 cm).

Key results

Our models showed that for a given burn severity index value, the proportion of mortality was greater overall in smaller trees, and that the proportion of mortality in large trees changed more slowly than that of smaller trees with changing burn severity index values.

Conclusions

We found that models that accounted for tree size can more precisely estimate changes in forest size structure than a similar model that did not account for tree size.

Implications

Explicitly accounting for tree size can improve estimates of post-fire forest structure, including for large trees which make up the bulk of stand biomass and post-fire seed sources.

Released July 17, 2026 08:11 EST

2026, Critical Reviews in Analytical Chemistry

Landon M. Keele, Morgan P. Davis, Chung-Ho Lin, Erin L. Pulster

Per- and polyfluoroalkyl substances (PFAS) are a wide-ranging class of manufactured chemicals that are environmentally persistent. Due to their ubiquity and resistance to degradation, PFAS readily bioaccumulate in a variety of environmental matrices and elicit a range of toxicological impacts. Despite an increase in research into these compounds, there is a clear gap in consensus on extraction techniques to quantify many PFAS in certain environmental media, particularly at critical points in agricultural food systems such as pasture grasses and feedstocks. Developing methods for more comprehensive and accurate extraction of PFAS in plant tissues is crucial for the biomonitoring of PFAS contamination in these ecosystems. This review seeks to identify relevant information pertaining to the partitioning of PFAS in plant matrices and evaluate the performance of previously established methods for the extraction of PFAS in graminaceous plants. Evaluated methods varied widely in extraction techniques, limits of detection and accuracy. This review provides a framework for enhancing PFAS analysis by tailoring extraction and cleanup strategies to both complex plant matrices and diverse analyte properties. Standardizing these methodologies will provide the high-quality data essential for ecotoxicologists and policymakers to accurately map the metabolic fate and ecological risks of these pollutants across food webs.

Released July 17, 2026 07:48 EST

2026, Gas Science and Engineering (159)

Oktay Erten, C. Özgen Karacan, Clayton V. Deutsch

Released July 16, 2026 15:39 EST

2026, Data Report 1226

Amy Gartman, Katlin Bowman Adamczyk, Jason A. Addison, Jill R. Bourque, Beth E. Caissie, Caroline Sarah Caron, Amanda W. Demopoulos, Jaycee Favela, Hope Lee Ianiri, Daniel Charles Powers, Nancy G. Prouty, Jane Anne Rudebusch, Isabelle M. Shapiro

Expedition Summary 

U.S. Geological Survey scientists led a box coring effort to the Samoa Basin to characterize minerals and the surrounding abyssal sediments and fauna. Thirty-eight box cores were deployed between April 13, 2026, and April 28, 2026. Thirty-six box cores recovered sufficient material to determine nodule density, and 35 recovered sufficient material for subcores to be collected. The purpose of this Data Report is to provide a summary of samples collected, initial results that were obtained shipboard, and briefly mention planned future analyses from this expedition.

Released July 16, 2026 10:07 EST

2026, Communications Earth & Environment

Amina Nikol Youssef, Sarah E. Janssen, Carl Lamborg, Michael Tate, Marissa Despins, Eva L. Doting, Brett A. Poulin, David McCabe, Leah M. Hopf, Emma K. Ferrer, Abe Doroshow, Guillaume Lamarche-Gagnon, Ian Delaney, Marjolein Gevers, Jade Hatton, Iris Kubler-Dudgeon, Jack Geary Murphy, Amina T. Schartup, Marek Stibal, Johannes West, Jon R. Hawkings

The Greenland Ice Sheet (GrIS) is a poorly constrained source of mercury (Hg) to Arctic ecosystems. We measured Hg concentrations and stable isotopes along an ice-to-ocean continuum to identify controls on GrIS Hg export. Early-season permafrost melt and rainfall produced high filtered total mercury (fTHg, ~17 pM) and monomethylmercury (MMHg, ~2 pM). As subglacial drainage evolved, particulate Hg doubled (from ~8 to 17 pM) and MMHg production remained elevated, indicating Hg mobilization from subglacial environments. Shifts in Hg stable isotope ratios and Δ¹⁹⁹Hg mass balance show supraglacial sources contribute 20–48% of exported Hg, suggesting subglacial inputs dominate the seasonal Hg flux. Fjord waters were enriched in fTHg ( ~ 10 pM) and MMHg ( ~ 2 pM) relative to rivers, consistent with particulate Hg transformations and terrestrial Hg inputs. The estimated GrIS Hg yield ( ~ 23 mmol km⁻² yr⁻¹) is similar to that of Arctic rivers and will likely increase with climate-driven mass loss.

Released July 16, 2026 08:27 EST

2026, Preprint

Meghan A. McCallister, Luke P. Sturtevant, Brendan A. McCarthy, Ian P. Armstrong

Upgrading aging and undersized stream crossings (places where culverts and bridges intersect a stream) with replacements designed for aquatic organism passage can improve infrastructure resiliency, geomorphic stability, and maintenance costs. The goal of this work is to develop preliminary culvert designs that convey hydraulic design floods and meet the Massachusetts Stream Crossings Standards for select existing stream crossing sites across Massachusetts. We derive stream and infrastructure data from lidar and other geospatial datasets as input for one-dimensional hydraulic models. Culvert dimensions are iteratively increased until the structures can convey the hydraulic design flood flows with adequate freeboard. The approach was evaluated by comparing lidar-derived designs to designs produced with surveyed data at 30 stream crossings across Massachusetts. The automatable methodology was then applied to 343 stream crossing sites in the Housatonic River watershed in southwestern Massachusetts. For each stream crossing site, preliminary designs were developed to meet the Massachusetts Stream Crossing Standards and convey the 10-, 4-, 2-, and 1-percent annual exceedance probability flood flows. The U.S. Geological Survey StreamStats web application hosts the 3-sided box, 3-sided arch, and pipe culvert preliminary designs. Provided supporting information includes site information, habitat quality assessments, and modeled water surface elevations. The publicly available preliminary designs can be used by municipalities, engineers, and others to evaluate design options, prioritize replacements, and analyze ecological benefits. These designs also may help municipalities pursue grant opportunities and estimate replacement costs prior to investing in field assessments and engineering design.

Released July 16, 2026 07:48 EST

2026, Ecosphere (17)

Nicole K. Ward, Aaron D. Shultz, Amanda L. Sesser, Michael W. Price, Dawn R. Magness, Abigail J. Lynch, Jonathan F. Hansen, Kelly G. Guilbeau

Global change is accelerating and pushing the planet's ecosystems beyond the range of historical observations, creating increasing uncertainty in future system conditions. Despite general agreement that proactive environmental action is warranted, environmental decision conversations often end by identifying additional data needed to reduce uncertainty before taking novel action. Given the inherent uncertainty in complex issues such as global change, quantitative data alone are likely insufficient to support proactive environmental action. Holistic understanding of uncertainty includes scientific quantification of uncertainty paired with emotional responses and transcendental grounding to help people work together toward proactive action in uncertain decision contexts. Holistic understanding arises from the four ways in which humans perceive the world, termed the Four Realms: Physical (e.g., how I observe), Mental (e.g., how I think), Emotional (e.g., how I feel), and Transcendental (e.g., how I connect to greater meaning or purpose). Environmental scientists and decision makers are generally trained in Physical and Mental Realm observation and analysis, but not in how to apply Emotional and Transcendental Realm understanding. Emotional and Transcendental processing occurs in scientists and decision makers whether it is acknowledged or not and contributes to different people interpreting the same information in different ways. Thus, when the role of Emotional and Transcendental Realms in an individual's interpretation process is not understood, it can derail conversations and perpetuate the status quo. Explicitly recognizing all Four Realms can bring people together across differences and inspire shared, novel decision making even in increasing uncertainty. To illustrate the benefits of holistic understanding, we share stories from our experiences in environmental decision contexts. Because accessing the Four Realms requires experiential and embodied techniques, while still relying on core scientific tenets of observation and analysis, we also present techniques for readers to learn to feel their own emotional understanding and connect to their own transcendental understanding. Holistic understanding can enhance data-driven decisions by recognizing that human responses to uncertainty inherently include interactions between emotions, thoughts, transcendental connections, and behavior. Ultimately, holistic understanding can help anchor data-driven decisions in intra- and interpersonal connections, inspiring action in the face of uncertainty.

Released July 15, 2026 10:00 EST

2026, Scientific Investigations Report 2026-5032

John W. Counts

The Upper Jurassic Norphlet Formation is a stratigraphic unit located in the subsurface of the United States Gulf coastal plain and offshore Gulf of America (Gulf of Mexico). The Norphlet consists of clastic sediments derived from the southern Appalachian highlands, and was deposited in a continental dryland setting on the margins of the early Gulf of America rift basin. The formation contains a variety of sedimentary facies, including facies representing updip alluvial fans, wadis, red beds, and a widespread erg, or eolian sand sea. The erg facies form the primary reservoirs from which hydrocarbons sourced from the overlying Smackover Formation are produced. Development of the Norphlet began in earnest in the late 1960s, with new discoveries, including large fields at Flomaton, Hatters Pond, and Mobile Bay, continuing through the 2000s–2010s with the discovery of major oil fields in the offshore Desoto Canyon area. Onshore, Norphlet hydrocarbon traps typically are faulted salt anticlines, although many fields also have a stratigraphic trapping component because of the preservation of dune-scale bedforms. Thermal maturity across the Norphlet play varies significantly with depth, resulting in oil production transitioning downdip to natural gas liquids production, then dry gas production; production depths reach to greater than 21,000 feet. A 2024 U.S. Geological Survey assessment divided the Norphlet into four conventional assessment units defined by the type and frequency of trapping mechanisms, sedimentology, and thermal maturity of each area, with little potential for hydrocarbon development observed west of the Mississippi River. Although petroleum resources in the Norphlet were revised downward, it is probable that significant resources remain to be discovered.

Released July 15, 2026 09:30 EST

2026, JGR Solid Earth (131)

Chris Galley, John Jamieson, Amy Gartman, Isobel Yeo, Masako Tominaga, Maurice Tivey, Carlos Braga, Laura Moore, Sharon Walker

Mid-ocean ridges, the Earth's most extensive volcanic system, exhibit unique characteristics in sediment-dominant environments. Thick sediment cover insulates the crust and channels fluid along pathways that can lead to the formation of distinct crustal alteration patterns, exceptionally large mineral deposits, and specialized chemosynthetic ecosystems. This study presents an interdisciplinary investigation into the tectonics of the Escanaba Trough, a heavily sedimented axial valley at the southern Gorda Ridge in the Northeast Pacific Ocean. A primary challenge in such environments is overcoming the masking effect of thick sediments on basement structures that control magmatic and hydrothermal activity. We address this by employing three-dimensional (3D) magnetic modeling of high-resolution near-seafloor magnetic data collected by an autonomous underwater vehicle (AUV). The 2022 surveys with AUV Sentry provided data for 3D magnetic susceptibility models, refining our understanding of the geometry of sub-sediment laccoliths/saucer-shaped sills and hydrothermal alteration. In conjunction with a new 1:100,000 scale lithostratigraphic map, we outline the tectonic controls on the emplacement of Escanaba Trough's three main volcanic centers, characterize the geometry of its spreading segments, and provide volumetric data on the distribution of sub-sediment volcanism in the southern Gorda Ridge.

Released July 15, 2026 09:16 EST

2026, Fact Sheet 2026-3019

David Moeser, Benjamin Linhoff, Justin Nichols, Jake Kurzweil

Reductions in snow have left many streams in northern New Mexico dry or with very low flows during the summer. Base flow, defined as the contribution of groundwater to streamflow, can sustain streamflow during the summer and during drought conditions. Beaver dam analogs can be used to “slow the flow,” or increase the infiltration of rain-based runoff to replenish shallow groundwater reservoirs and increase base flow and potentially increase summertime streamflow.

Released July 15, 2026 08:33 EST

2026, Geostandards and Geoanalytical Research

Ryoji Tanaka, Andreas Pack, Tyler B. Coplen

Triple oxygen isotope ratios of waters are commonly reported on the VSMOW–SLAP scale, whereas comparison with theoretical calculations and assessment of instrumental scale distortion require accurate constraints on the measured isotopic compositions of the primary isotopic reference materials (iRMs) themselves. In particular, the measured δ¹⁷O_VSMOW and Δ′¹⁷O_VSMOW values for SLAP and its substitute, SLAP2, remain insufficiently constrained and reported values differ among laboratories. Here, we measured triple oxygen isotope ratios for two primary iRMs (VSMOW and SLAP) and twelve secondary iRMs (VSMOW2, SLAP2, GISP, GRESP, USGS45, USGS46, USGS46a, USGS47, USGS48, USGS49, USGS50 and USGS53) using BrF₅ fluorination and dual-inlet isotope-ratio mass spectrometry. For SLAP, we obtained δ¹⁸O_VSMOW = -55.50 ± 0.15‰ and δ¹⁷O_VSMOW = -29.66 ± 0.08‰, giving Δ′¹⁷O_VSMOW = 34 ± 6 per meg (all expanded uncertainties, k = 2). The corresponding values for SLAP2 agree within uncertainty. When expressed on the conventional VSMOW–SLAP scale, our Δ′¹⁷O_VSMOW–SLAP values for all secondary iRMs with available literature values agree with previously published values within uncertainty, confirming interlaboratory comparability on that scale. In contrast, waters with low δ¹⁸O values, Δ′¹⁷O_VSMOW values are systematically higher than the corresponding Δ′¹⁷O_VSMOW–SLAP values. These results further suggest that accurate determination of the VSMOW-scale isotopic composition of SLAP and/or SLAP2 across laboratories is essential, particularly for low-δ¹⁸O samples, for which the difference between VSMOW-scale and VSMOW–SLAP-scale Δ′¹⁷O values becomes large, and for meaningful comparison between measured data and theoretical calculations.

Released July 15, 2026 08:29 EST

2026, International Journal of Applied Earth Observation and Geoinformation (152)

Yide Xu, Qu Zhou, Kaiyu Guan, Sheng Wang, W. Dean Hively, Jyoti Jennewein, Alison Thieme, Steven B. Mirsky, Zhangliang Chen

Cover crop adoption in the U.S. has increased over the past decades, increasing the need to quantify their performance and environmental benefits. While remote sensing (RS)-based approaches for detecting cover crop presence have been developed, there has been limited research on how cover crops with varied biomass and management practices influence detectability. Using unique field-level cover crop presence and biomass datasets in Maryland, U.S., we investigated how RS-based detectability changes for cover crops with varied aboveground biomass, planting, and termination dates. Specifically, we proposed a time-integrated satellite-based greenness feature from Harmonized Landsat-8 and Sentinel-2 (HLS) time series from 2017 to 2021 to estimate biomass of cover crops and evaluated their detectability using a phenology-based cover crop detection framework. The impacts of cover crop planting and termination dates on cover crop biomass were also analyzed. Our results demonstrated that Normalized Difference Vegetation Index (NDVI) estimated biomass with higher accuracy compared to other vegetation indices, and the time-integrated model estimated biomass with higher accuracy than the single-date “snapshot” linear model (R2 from 0.53 to 0.66 and RMSE from 922 kg/ha to 747 kg/ha). While the snapshot models were species sensitive, the time-integrated models showed strong robustness across different species. Detectability increased with cover crop biomass, as detected cover crops averaged 963.3 ±719.5 kg/ha compared to 297.2 ± 209.0 kg/ha for non-detected cover crops. Detection accuracy reached 96.1% for fields exceeding 500 kg/ha, compared with an overall accuracy of 62.7%. Earlier planting and later termination increased biomass and detectability, with biomass rising by 4.14 kg/ha/day (p < 0.01). This study demonstrates how management practices affect cover crop biomass and detectability via satellite time series and provides insights that can inform management of cover crops and monitoring of their effects on agroecosystems.

Released July 15, 2026 07:44 EST

2026, Open-File Report 2026-1025

Joel T. Groten, J. William Lund, David J. Brannon

The U.S. Geological Survey (USGS), with support from the Federal Interagency Sedimentation Project (FISP), developed the electric vehicle (EV)-crane, a modified electric cart equipped with a rigid swivel-mounted crane and integrated accessory holders. The EV-crane was developed to improve the efficiency and safety of fluvial sediment and water-quality sampling from bridges. USGS field staff have relied on foldable cranes on a four-wheeled base or nonstandardized platforms, such as utility terrain vehicle (UTV) mounted cranes, which highlight the need for a safer, standardized, and more adaptable solution. This redesigned platform replaces the foldable cranes on a four-wheeled base with a compact, powered system that reduces physical strain, enhances operator safety, and streamlines field operations on bridges. Dedicated holders for samplers, a controller, batteries, counterweights, and a field computer or tablet create a versatile, organized workspace that supports a wide range of sampling and heavy-lift applications. The EV-crane described here is version 1 of the prototype. Evaluation of the design is ongoing, and the findings summarized here are from initial qualitative user feedback and early quantitative testing. Potential plans may include additional testing and refinement to inform subsequent design iterations.

Released July 14, 2026 10:45 EST

2026, Scientific Investigations Report 2026-5020

Emilia L. Bristow, John M. Gannon, Andrew M. Williams

The Silurian aquifer is an important water source for municipalities, industry, and rural households and communities in eastern Iowa, including Johnson County. Increasing demand for groundwater from the aquifer indicated that analytical tools may be beneficial to quantify groundwater resources and inform water-management decisions for the aquifer. The U.S. Geological Survey, in cooperation with the Johnson County Board of Supervisors, developed conceptual and numerical groundwater models to simulate water levels in the Silurian aquifer, determine groundwater budgets, and forecast changes in groundwater levels through 2045. A MODFLOW numerical model was constructed to match water levels for 2020 through 2022. Model performance was assessed by comparing simulated and observed water-level hydrographs at several pumping and monitoring wells. Hydrograph comparison indicates that the model simulates water levels accurately at monitoring wells that are not near areas of pumping and generally overpredicts water levels near pumping wells, while accurately simulating the drawdown trend over time at pumping wells. This transient model framework was then used to predict water levels through 2045 in a scenario of moderate drought and increased groundwater withdrawals. Results from the predictive model indicate as much as 13 meters of additional drawdown in 2045 from 2020 water levels in the area of pumping wells.

Released July 14, 2026 09:42 EST

2026, Transaction of the American Fisheries Society

Charles B. Yackulic, Drew Elliot Eppehimer, Lindsey A. Bruckerhoff, Anna Amidon, Kevin R. Bestgen, Nathaniel D. Bransky, Kimberly L. Dibble, Maria C. Dzul, Lindsay Erika Hansen, Brian D. Healy, M. Tildon Jones, Chris Michaud

No abstract available.

Released July 14, 2026 09:29 EST

2026, Frontiers in Ecology and Evolution (14)

Rachelle Carina Johnson, Claire E. Couch, Rebecca E. Barsky, Candice R. Powers, Chloe E. Pak, Karl D. Stenberg, Jessica O. Diallo, Kimberly A. Larsen, Marshal S. Hoy, David A. Beauchamp, Tobias J. Kock

Reservoir ecosystems can significantly affect anadromous salmon populations reintroduced upstream of impassable high-head dams. In this study, we examine how a novel reservoir food web created by an impoundment can limit juvenile growth or survival through the seasonal production or access to food, promote competition for available resources, and affect risk of the food supply or predation mortality, all of which can be strongly influenced by the thermal regime. Shasta Reservoir, the largest impoundment in California’s Central Valley Project, presents opportunities and risks for winter-run Chinook salmon (Oncorhynchus tshawytscha), a federally endangered population targeted for reintroduction into the McCloud River, which flows into the reservoir. We integrated field sampling, stable isotope analysis, hydroacoustic surveys, and bioenergetics modeling to characterize Shasta Reservoir’s food web and evaluate seasonal growth potential and predation risk for juvenile salmon. Zooplankton, dominated by Daphnia, provided favorable foraging conditions in spring but declined sharply by late summer, coinciding with high consumption demand from abundant threadfin shad (Dorosoma petenense). Bioenergetics simulations indicated that fry that would ordinarily enter the reservoir in autumn would face poor growth opportunities. They would also be exposed to elevated predation risk driven by warm temperatures and high metabolic demand, particularly from piscivorous salmonids and Sacramento pikeminnow (Ptychocheilus grandis). Limited information on predator abundances precludes the ability to quantify total predation demand. Alternatively, juveniles entering the reservoir the following spring would encounter greater prey availability and reduced predation pressure. These findings highlight the strong influence of seasonal thermal structure and food web dynamics on reservoir constraints and underscore the need to incorporate the dynamics of key habitats into reintroduction management and decisions. Our framework provides a quantitative, mechanistically-based approach for evaluating the role of reservoirs in salmon reintroductions above high-head dams.

Released July 14, 2026 09:25 EST

2026, Report

James C. Lynch, Philippe Hensel, Donald R. Cahoon

No abstract available.

Released July 14, 2026 08:56 EST

2026, BioScience

Lise Comte, Sarah R. Weiskopf, Laura M. Thompson, Jackson Brear Valler, Madeleine A. Rubenstein, Casey C. O'Hara, Aparna Bamzai-Dodson, Abigail J. Lynch, T.J. Clark-Wolf, Ophelie Ocouriot, Solomon Z. Dobrowski, Laura L. Figueroa, Gabriel M. Filippelli, Heather E. Johnson, Meade Krosby, Joshua J. Lawlor, David A. Moeller, Sean A. Parks, Elliott W. Parsons, Jeremy D. Ross, Brett R. Scheffers, Helen R. Sofaer, Erica Francis Stuber, Shawn Carter

Climate-mediated shifts in species distributions are reshaping ecosystems worldwide, creating major challenges for conservation and resource management. These range shifts have far-reaching ecological and socio-economic consequences, requiring managers to address complex ecological dynamics while navigating diverse regulatory and value systems. Despite growing attention, key gaps remain in supporting management, from improved understanding of the mechanisms of range shifts, to evaluating the effectiveness of climate adaptation strategies, and tailoring science to the institutional and social contexts of decision-making. Central challenges include scaling processes across space, time, and organizational levels, and reconciling mismatches between biogeographical and management scales. Progress will depend on more comprehensive datasets to assess outcomes across taxa and regions, stronger cross-jurisdictional cooperation, and decision frameworks that integrate uncertainty alongside multiple value systems. Addressing these gaps is essential to make research more actionable and to enable successful management of species redistribution.

Released July 14, 2026 07:59 EST

2026, North American Journal of Fisheries Management

Charles F. Wahl, Robert E. Zuellig, James J. Roberts, Travis S. Schmidt, Andrea Nichole Schuhmann, Janet L. Miller, Matthew P. Fairchild

Objective:

Introduction of non-native salmonids to western United States streams has resulted in extirpation and even extinction of native cutthroat trout. Once thought to be extinct, a genetically verified population of Greenback Cutthroat Trout (GBCT) Oncorhynchus virginalis stomias was identified and used for population re-establishment efforts. To restore native trout habitat, stream reaches above a dispersal barrier are typically treated with a piscicide (i.e., rotenone) to remove non-native trout before reintroduction of natives. One concern with this method is the possible impact to non-target invertebrates, which are an important food source for trout, and a drastic disturbance to invertebrates following rotenone treatment could negatively affect native trout establishment.

Methods:

Two alpine streams were treated with liquid rotenone via drip stations during two consecutive days. Invertebrate communities were sampled for six years in two streams where GBCT was reintroduced. Pre- and posttreatment sampling allowed for examination of short-term, intermediate, and long-term responses to invertebrate communities.

Results:

Negative short-term responses were detected for total taxa richness, EPT richness, and percent Heptageniidae density immediately following rotenone application. However, most community metrics returned to pretreatment values within 1 to 2 years posttreatment. Invertebrate community changes between pretreatment and 3 to 5 years posttreatment were observed with increased percent Chironomidae density and decreased percent EPT (Ephemeroptera, Plecoptera, Trichoptera) density. 

Conclusion:

This study provides insight into invertebrate community response to rotenone treatment in high alpine streams and adds to the current literature which displays short-term declines in invertebrates following rotenone and recovery of most aspects of the initial invertebrate community within one year posttreatment. Lay Summary Rotenone application for cutthroat trout habitat restoration negatively affected invertebrate communities in the 1 to 2 months following treatment; however, most community values recovered to pretreatment levels within 1 to 2 years. Keywords: native fish, cutthroat trout, fish management, invertebrate community, habitat restoration

Released July 13, 2026 10:43 EST

2026, Lithosphere (2026)

William H. Craddock, Julie C Fosdick, Christopher D. Connors, Richard O. Lease, David W. Houseknecht, Megan Mueller, Andrew R C Kylander-Clark

The northeastern Brooks Range is a vast fold-thrust belt that records the northernmost expression of Cenozoic deformation in Alaska, likely with complex dynamic linkages to distant tectonic elements. The principal focus of this manuscript is the Marsh Creek anticline (MCA), which is a large and recently active structure within the broader northeastern Brooks Range. The MCA is a complex, polyphase structure mostly buried beneath the Arctic coastal plain. We present apatite (U-Th)/He (AHe) dates from six outcrop samples, all near the structural crest of the anticline, as well as supporting detrital zircon U/Pb (ZUPb) age spectra from five outcrop samples. The AHe sample transect spans ~3 km of structural relief. The four shallowest AHe samples are not reset. However, the two deepest samples exhibit low intrasample variability among replicates and strong date versus grain radius correlations, suggesting post-depositional burial heating to within the AHe partial retention zone. Inverse thermal history modeling of these data resolves a protracted phase of exhumational cooling that began around 33–28 Ma. Detrital ZUPb age spectra from Paleogene strata support an interpretation of diverse inherited thermal histories recorded by the AHe data, and they are also consistent with extant reconstructions of Paleogene sediment dispersal. Placed into regional context, the results constrain a phase of increasing structural relief in the northeastern Brooks Range fold-thrust belt that began by the Eocene. The relief developed in a zone characterized by diminishing structural relief to the west called the Canning displacement zone. Although this zone was active since the Eocene, several structures including the studied part of the MCA were rapidly exhumed in the Oligocene. Lastly, we argue for kinematic compatibility between Cenozoic contraction and active strike-slip in the northeastern Brooks Range, with the temporal change in strain style likely reflecting the increase in structural relief and topography.

Released July 11, 2026 11:14 EST

2026, Bulletin of Volcanology (88)

Michelle L. Coombs, Kristi L. Wallace, Ronni Grapenthin, Jordan Edward Lubbers, Tom Murray

During times of eruption response, volcano observatories need to organize themselves differently than during normal operations. The number of formal operational roles grows to ensure that critical responsibilities are covered, including management of all activities at the observatory as well as increased staffing to ensure proper surveillance of data and issuance of timely notices and warnings. The scope and approach differ for each observatory and, in fact, for different eruptions. The Alaska Volcano Observatory (AVO) maintains an extensive monitoring program and issues forecasts and warnings about volcanic eruptions and unrest in Alaska. Since 2000, AVO has used formal roles to perform these duties and has implemented a variety of team approaches to respond to larger eruptions. For the Augustine (2006) and Redoubt (2009) eruptions, management scaled from 3 up to ~ 8 people in a command team to cover all aspects of the response. During these and other eruptions (e.g., Okmok, 2008), an operations room was staffed continuously to cover real-time responsibilities pertaining to monitoring and issuing alerts while the command team focused on overall management. More recently, such as for Bogoslof in 2016–2017 and Shishaldin in 2019 and 2023, AVO used a virtual real-time response team to handle warning tasks and variations of an Observatory Volcanic Event Response Team (OVERT; Moran et al. 2024) to manage overall observatory response activities. In 2025, AVO employed a formal OVERT for the first time to oversee its response to unrest at Mount Spurr. Frequent implementation, nimble scaling, constant evaluation, flexibility, and good communication make the team approach effective. We present examples of several response teams used over the last 25 years, and lessons learned from them, in the hope that these will be helpful to other observatories facing crisis responses. These examples may also allow stakeholders and the public to better understand how observatories work.

Released July 11, 2026 10:30 EST

2026, HydroResearch

Xueer Ma, Chenchen Liu, Lingli Peng, Chengzhu Liu, Beth Middleton, Ting Lei

Dongting Lake, the second largest lake in China, plays a crucial role in maintaining regional ecological security by providing key habitats for waterbirds. This study examined how hydrology and topography (ditches and mounds) together generate fine-scale wet–dry gradients that shape species establishment and successional trajectories. Over the past decade, vegetation restoration has been implemented through the removal of poplar plantations. We selected sites in West Dongting Lake representing different stages following poplar removal, including active plantations (Poplar), one-year (1Yr) and five-year (5Yr) restored sites, and natural floodplain reference sites. Analyses of seasonal water-level dynamics over several years revealed distinct hydrological regimes among restoration stages, with differences in inundation duration and amplitude corresponding to ditch–mound topography. Species diversity indicators showed that species richness was highest in Poplar (37 species) and lowest in Reference sites (14 species), with exotic species richness following the same trend. The lowest Cody index occurred between 1Yr and Reference sites, while the Jaccard similarity differed significantly among site pairs, with lower similarity observed in comparisons with the Reference site. Non-metric Multidimensional Scaling (NMDS) analysis indicated minimal overlap between Poplar and Reference sites, with 1Yr and 5Yr sites clustering together but remaining distinct from the Reference site. These results suggest that poplar cultivation and its associated mound-ditch topography have altered hydrological and community structure of the wetland, facilitating the persistence of exotic species. Natural recolonization is driven by the interaction between seasonal water-level dynamics and topography, which regulate inundation duration and wet–dry cycles. Effective restoration may require removal of poplar plantations and regrading of artificial ditches and mounds to restore natural hydrological connectivity to support vegetation recovery in these subtropical monsoonal wetlands.

Released July 10, 2026 10:21 EST

2026, Geophysical Research Letters (53)

S. Nemiah Ladd, Ashley E. Maloney, Daniel B. Nelson, Mark D. Peaple, Julie N. Richey, Amanda Witt, Polly Sobeck, Matthew Prebble, David A. Sear, Peter G. Langdon, Nathalie Dubois, Julian P. Sachs

The position, strength, and variability of precipitation in the South Pacific Convergence Zone (SPCZ) remain challenging for coupled ocean-atmosphere climate models to represent, leaving future rainfall projections in this dynamically important region uncertain. Here, we present quantitative records of mean annual precipitation (MAP) spanning the past 1,000 years using sediment cores from five freshwater lakes on different islands in the western portion of the SPCZ. Precipitation reconstructions are based on the hydrogen isotope composition of the dinoflagellate biomarker dinosterol, which is inversely correlated with MAP. We show that MAP in the western tropical Pacific increased over the past ∼300 years, with a significant increase beginning in 1,820 ± 75 C.E., coincident with a warming trend in the Western Pacific Warm Pool. These results contrast with the expected drying associated with reduced Pacific Walker Circulation as global temperatures increase in many climate models. Future warming may promote more intense SPCZ precipitation.

Released July 10, 2026 09:40 EST

2026, Ecological Engineering (232)

John W. Clune, Gregory E. Noe, Matthew J. Cashman, Jessica D. DeWitt, Joseph M. Bell, Mitchell R. Weaver, James E. Colgin, Thomas Rossiter Doody, Eliza L. Gross, Victor Scott Cortes

Despite widespread implementation of stream restoration there is limited research of its effectiveness in impaired agricultural settings. To quantify the effects of stream restoration on sediment load, we investigated erosion and deposition along 9 stream reach sites (4 restored, 4 unrestored, and 1 downstream) in Turtle Creek, Pennsylvania, United States - a representative agricultural subbasin of the Chesapeake Bay. These stream restoration projects had the goal of reducing sediment load primarily by installing log structures and regrading streambanks in order to stabilize streambanks and reconnect floodplains. Floodplain and streambank sediment fluxes were quantified over a 3-year period through repeated measurement of clay pads and pins and measurement of sediment bulk density. Uncrewed aerial imagery was collected at 3 of the sites, then processed using structure from motion (SfM) to create high-resolution digital elevation models. Terrain analysis enabled three-dimensional understanding of the generality of the specific field flux measurement locations to the larger stream reach. Restored sites on average had deposition on streambanks compared to streambank erosion along unrestored sites, and approximately two times greater floodplain deposition than unrestored sites. Overall, restored stream had an average seven-fold increase in the net balance (sum of streambank and floodplain) of sediment flux, a 81.2 kg/m/yr increase in retention, compared to unrestored stream. The measured larger streambed particle size distribution (D₅₀) in restored streams also suggests additional improvements to instream habitat quality. Terrain analysis confirmed that the field-based measurements were representative of the larger reach. These results indicate that stream restoration in agricultural watersheds using less-engineered designs can reduce sediment loading and improve stream habitat and health goals.

Released July 10, 2026 08:34 EST

2026, Journal of Biogeography (53)

Garrett W. Hopper, Sean M. Keogh, Carla L. Atkinson, Traci P. Dubose, Jeffrey D. Lozier, John M. Pfeiffer, Irene Sánchez González

Aim: Trait-based approaches are increasingly recognized as a tool for understanding species’ vulnerabilities to intensifying global change. For species with complex life histories that involve a parasitic life stage, a combination of traits associated with either the host or parasite could influence extinction risk.

Location: United States of America

Taxon: Freshwater mussels are a highly threatened assemblage of bivalves with an obligate ectoparasitic larval stage requiring a host fish. Adult mussels are sedentary, with long-distance dispersal dictated by the dispersal ability of the host fish during the parasitic larval life phase. 

Methods: We integrate several open-source spatial and trait datasets for freshwater mussels and host fishes to test hypotheses about the relationship between species-level traits such as body size, area of occupancy (AOO), host fish dispersal, habitat fragmentation, and mussel extinction risk.

Results: Imperiled mussels were smaller, had smaller areas of occupancy, used small-bodied, dispersal-limited host fishes, and had higher densities of large dams in their AOO compared to non-imperiled mussels.

Conclusions: Body size, along with AOO and dispersal potential, appear to have cascading effects on imperilment where decreases in these traits potentiate population fragmentation via large dams. Thus, in contrast to many other groups, freshwater mussel body size is inversely related to extinction risk and small-bodied mussels should be closely monitored to prevent future extinctions.

Released July 10, 2026 08:12 EST

2026, Earth and Planetary Science Letters (691)

Stephan Kolzenburg, Martin Harris, M. Oryaelle Chevrel, Kendra J. Lynn

Rheological data are crucial for the understanding of storage, transport, eruption, and emplacement of magma and lava. While viscosity estimates for lavas from Mauna Loa, the largest active volcano on Earth, exist, no direct rheological measurements have been done to date. This is especially surprising given the role Mauna Loa lavas and resulting landforms play in the interpretation of volcanic processes across our solar system and beyond. We present the first complete rheological characterization of Mauna Loa lava, based on the 2022 eruption. We constrain the melt viscosity and map the lava's rheology during crystallization at isothermal subliquidus conditions and at cooling at rates between 0.25 and 3.00 °C/minute. These experiments were performed at oxygen fugacities relevant to storage and eruption conditions at Mauna Loa (log fO₂ = -8.7). We integrate textural and thermal characteristics obtained from the experiments with those from water quenched natural samples (i.e. sampled from actively flowing lava and quenched within seconds to preserve the textural state of the lava while flowing) to reconstruct the evolution of lava rheology during emplacement. This integration suggests that the Mauna Loa lavas were emplaced at viscosities between 10^1.5 to 10^4.5 Pa s over the temperature range of 1150 – 1090 °C before entering a region of rapid viscosity increase and effective solidification caused by groundmass crystallization. We provide a detailed comparison of our data to rheological reconstructions of the 1984 eruption. The resulting rheological map can help guide physical property-based magma ascent and lava emplacement models, as well as the interpretation of flow morphologies and the conditions of formation of basaltic landforms on other planets.

Released July 10, 2026 07:30 EST

2026, Open-File Report 2026-1013

Ronald E. Griffiths, David J. Topping, Joel A. Unema, Keith A. Kohl

This study resurveyed ten previously established cross sections and established eight new cross sections on the Green River in Browns Park to document changes in channel width, depth, and area since earlier surveys conducted in 1994. The measured area of the channel cross sections on the Green River in Browns Park generally increased between the initial surveys and 2019. This increase in cross-sectional area was observed in nine of the ten resurveyed cross sections and is indicative of net sediment erosion. The increase in cross sectional area occurred through both channel widening (bank retreat) and increases in depth (bed incision). An analysis of the contribution of bank versus bed changes to the overall area change suggests that the erosion is mostly from the bed of the channel. In addition, weak longitudinal trends in the bed-sand grain-size distribution are consistent with progressive depletion of the sand stored on the bed of the Green River in Browns Park. The findings from our cross-section resurvey support the conclusion that the Green River in Browns Park is experiencing progressive sediment loss and is in a state of sediment deficit.

Released July 09, 2026 14:30 EST

2026, Circular 1568

Alice B. Pennaz, Jack R. Friedman, Nathan J. Wood, Jacqueline R. Meszaros

Executive Summary 

The USGS Strategy for a Hazard Ready Nation provides an approach that U.S. Geological Survey (USGS) researchers and staff can use to deliver actionable, user-focused science that supports risk-informed decision making aimed at reducing risk and losses across the Nation. The Strategy builds upon successful efforts within the USGS and seeks to promote and prioritize similar work in the future under an organized framework.

Rooted in four priorities—(1) center end-user needs, (2) enhance research relevance, (3) support product and service development and implementation, and (4) improve communication—the USGS Strategy for a Hazard Ready Nation is designed to focus and guide, not prescribe, activities. Strategic actions are proposed to achieve these four priorities in a timely fashion. The USGS plans to continually build upon the Strategy for a Hazard Ready Nation to deliver actionable information for risk-informed decision making.

Released July 09, 2026 10:11 EST

2026, Earthquake Spectra (42)

Andrew James Makdisi, Steven L. Kramer, Patrick Bassal, Brett W. Maurer, Bill Perkins, Donald G. Anderson, C. B. Crouse, Shideh Dashti, David Teague

Seismic design criteria for new buildings in the United States have historically focused on life safety performance objectives through minimizing the potential for structural collapse. Development of design criteria to meet this performance objective has evolved over time, leading to the current, risk-targeted maximum considered earthquake (MCE_R) design basis. Corresponding MCE_R seismic design loads incorporate the full range of probabilistic ground motion hazard information available from U.S. Geological Survey National Seismic Hazard Models, as well as a representation of the uncertainty in structural collapse capacity. Despite these considerable advances in structural design criteria, guidelines for geotechnical hazards such as liquefaction-induced damage, which continue to be based on uniform ground-shaking hazard (i.e., MCE ground motions), are not well-connected with risk-based, collapse prevention performance objectives. This study, undertaken as part of Building Seismic Safety Council efforts to update recommended seismic provisions through the National Earthquake Hazards Reduction Program, presents probabilistic, liquefaction-targeted design objectives and corresponding ground motion parameters, with a focus on improving consistency in first-level screening criteria for liquefaction hazard assessment. This study identifies a potential maximum acceptable annualized probability of liquefaction triggering (P_L,max) of 2.5% in 50 years, above which liquefaction consequences and potential mitigation measures would be considered. The P_L,max-based design basis is calibrated to effective probabilistic liquefaction hazard levels obtained in practice using current MCE peak ground accelerations, and could be implemented via a new liquefaction-targeted maximum considered earthquake (MCE_L) peak ground acceleration (PGA_L). The proposed PGA_L is derived from probabilistic liquefaction hazard curves and includes uncertainties inherent to liquefaction hazard modeling. The potential design effects of the proposed PGA_L are demonstrated via comparison with current MCE PGA levels, effects on first-level liquefaction screening analyses, and improvements in the consistency of P_L,max levels across the United States, and for a wide range of site conditions.

Released July 09, 2026 09:55 EST

2026, General Information Product 320

Claire E. Bunch, Rodney R. Caldwell

On July 9, 1926, monitoring well Oe-151 at Woodgate, New York (USGS ID 433112075091501) recorded its first groundwater data. Since then, the well has provided water data nearly continuously and has now reached a 100-year milestone for data collection. The well is part of the U.S. Geological Survey (USGS) Climate Response Network (CRN), which is a national network of wells selected to monitor natural groundwater conditions. Well Oe-151 is the first well in the network to reach a 100-year Centennial milestone.

Released July 09, 2026 09:14 EST

2026, Water Resources Research (62)

Kalle Jahn, Donald A. Walter

In hydrologic settings where groundwater discharge contributes substantially to surface waters, legacy nitrogen in groundwater can confound surface water nitrogen loads estimated exclusively from current terrestrial sources. Additionally, legacy nitrogen in groundwater can contribute to lagged responses to nitrogen management efforts. Some methods of estimating groundwater contributions to surface water nitrogen loads account for legacy nitrogen, while others do not. The resulting differences are rarely quantified. We used a numerical modeling framework to compare three methods of estimating time-varying annual groundwater nitrogen loads to surface water receptors on eastern Long Island, New York. The instantaneous load method used steady-state contributing areas and includes no temporal groundwater lag. The second method used numerical simulations of nitrogen loads under steady-state flow, which captures groundwater transport lags but omits the annual variability in transient hydrologic stresses. The third method numerically simulated both transient groundwater flow and nitrogen transport to explicitly capture the effects of legacy nitrogen in groundwater. Depending on antecedent nitrogen and hydrologic conditions, historical nitrogen loads estimated from the numerical simulations were sometimes similar (<10% difference) and other times substantially different (±100%) from the instantaneous load estimates. Additionally, simulated future surface water nitrogen loads responded asymptotically over several decades following reductions in terrestrial nitrogen sources, further highlighting the effect of groundwater transport lag times. The comparison of the three methods, quantification of historical interannual variability, and prediction of lagged responses to nitrogen source reductions provide important context for decision makers using estimated groundwater nitrogen loads to help evaluate nitrogen management efficacy.

Released July 08, 2026 14:23 EST

2026, Scientific Investigations Report 2026-5021

Toby D. Feaster, Bradley J. Harken, Brent T. Aulenbach, Katharine R. Kolb, Caleb E. Mitchell, J. Curtis Weaver

The U.S. Geological Survey, in cooperation with the Georgia Department of Natural Resources (Environmental Protection Division), North Carolina Department of Environmental Quality (Division of Water Resources), North Carolina Department of Public Safety (Office of Recovery and Resiliency), and South Carolina Department of Environmental Services, updated low-flow frequency, mean annual flow, and flow-duration statistics at 843 streamgages in and near Georgia, North Carolina, and South Carolina. The low-flow frequency statistics are annual minimum 1-day average flow with a 10-year recurrence interval (1Q10), annual minimum 7-day average flow for 2- and 10-year recurrence intervals (7Q2 and 7Q10, respectively), and annual minimum 30-day average flow with 2- and 3-year recurrence intervals (30Q2 and 30Q3, respectively). Monthly 1Q10 and 7Q10, and W7Q10 flow statistics for the winter period (November–March) also are presented. By using data from 604 of the streamgages on streams with streamflows that are not substantially affected by regulation or diversion and are not tidally influenced, regional regression equations were developed to predict flow statistics with prediction intervals at ungaged locations on streams with those same criteria. The regional regression analysis included data from 132 streamgages from adjacent States Alabama, Florida, Tennessee, and Virginia. The final regional regression equations include variables such as drainage area, streamflow variability, precipitation, percentage of impervious area, and percentage of the basin in various ecoregions. The low-flow statistics for the streamgages analyzed and the regional regression equations will be integrated into the U.S. Geological Survey StreamStats application (https://www.usgs.gov/streamstats) for Georgia, North Carolina, and South Carolina. StreamStats generates basin characteristics needed to compute low-flow frequency statistics for ungaged locations.

A trend analysis of annual minimum 7-day average flows was done for 78 streamgages with at least 30 years of continuous record. Trends were evaluated for 30-, 50‑, 70-, and 90-year periods, ending in climate year 2021, and independence and short- and long-term persistence assumptions were considered. For all trend analysis assumptions, most streamgages did not exhibit significant trends in annual minimum 7-day average flows. Trends in annual precipitation and air temperature were similarly evaluated for the period 1895–2021 to assess the variability of climate for Georgia, North Carolina, and South Carolina.

Released July 08, 2026 13:28 EST

2026, Remote Sensing (18)

Itiya Aneece, Prasad Thenkabail, Pardhasaradhi Teluguntla, Adam Oliphant, Daniel Foley, Jake Dylan Lawton

To advance crop type mapping in support of global food and water security, this study compared three spectral configurations: (A) the full 60-band DLR Earth Sensing Imaging Spectrometer (DESIS) hyperspectral narrowband (HNB) dataset, (B) a 14-band subset of DESIS-derived HNBs aligned with the planned Landsat 10 (formerly Landsat Next) spectral configuration (400–1000 nm), and (C) DESIS-based simulations of Landsat 10 superspectral broadbands. The analysis was conducted in California’s Central Valley, hereafter referred to as “the Central Valley”, during the peak growing month of August. DESIS imagery from August 2021, 2022, and 2023 was used sequentially for model development, testing, and independent validation. Over these three years, DESIS provided extensive hyperspectral coverage of much of the 4 million hectares in the Central Valley’s. Analyses were performed on Google Earth Engine using two pixel-based supervised classifiers, Random Forest (RF) and Support Vector Machine (SVM), to differentiate three major crop classes: row crops, grapes and tree crops, and winter wheat/fallow/other. The highest overall accuracy (86%) was achieved using SVM in combination with either the full DESIS hyperspectral dataset or the 14 DESIS narrowbands corresponding to Landsat 10. This finding aligns with earlier studies showing a small number of strategically positioned narrowbands can be optimal for crop type classification. Use of the narrowband datasets resulted in substantially higher accuracy (overall accuracy of 86%) compared to the simulated Landsat 10 broadbands (overall accuracy of 75%), supporting previous studies highlighting the utility of narrowbands. Despite the high accuracy using August imagery, the study indicates more granular crop type classification will require multi-temporal observations spanning the full phenological cycle (June–October), especially for a large number of crop classes. Acquiring task-based hyperspectral imagery over such large areas throughout the growing season remains operationally challenging. In contrast, Landsat 10 superspectral imagery could provide routine coverage across seasons and years that is practical and scalable for future large area crop type mapping and agricultural monitoring.

Released July 08, 2026 10:31 EST

2026, Climate of the Past (22) 1277-1290

Joseph B. Novak, Rocio P. Caballero-Gill, Timothy D. Herbert, Harry J. Dowsett, Alfredo Martinez-Garcia

Reconstructions of sea surface temperature (SST) in the geologic record are fundamental to our understanding of Earth's climate history and the evaluation of Earth's climate sensitivity to greenhouse gas forcing. SSTs are reconstructed with a variety of methods, including alkenone biomarker lipids produced by certain coccolithophore algae. One such alkenone SST reconstruction from the subpolar northwest Pacific Ocean Drilling Program (ODP) Site 882 (50.21° N, 167.35° E, 3244 m water depth) has played a large role in shaping the paleoclimate science community's view of global climate warmth during the Late Pliocene (3.6–2.6 million years ago) and the subsequent cooling that characterized the intensification of Northern Hemisphere Glaciation (Haug, 1995; Haug et al., 2005; Martínez-Garcia et al., 2010). First, we have found that the values reported in the PANGAEA archive for this ODP Site 882 alkenone dataset were inaccurately reported as U^K'₃₇ values when they are instead U^K₃₇  (https://doi.org/10.1594/PANGAEA.315092, Haug and Sarnthein, 2005). This error in the archived data table resulted in the incorporation of inaccurate absolute SST estimates by several studies that applied  U^K'₃₇ calibrations to this ODP Site 882 dataset (e.g., Brennan et al., 2022; Clark et al., 2024, 2025; Tierney et al., 2019, 2025b). Second, using other published data from ODP Site 882 (Studer et al., 2012) and nearby Site 883 (51.11° N, 167.46° E, 2384 m water depth; Herbert et al., 2016; Novak et al., 2024), we show that the original Haug (1995) alkenone SST record at ODP Site 882 systematically reports an amplified range of absolute SST values compared to the more recently generated data. This observation is consistent with the known concentration-dependent biases of the gas chromatography chemical ionization mass spectrometry (GC-CI-MS) analytical method used by the original ODP Site 882 study (Chaler et al., 2000, 2003; Haug, 1995; Hefter, 2008; Rosell-Mele et al., 1995). These concentration-dependent analytical biases complicate applying a uniform correction to the entire Haug (1995) dataset. However, we are able to leverage the published datasets to propose a correction and quantification of uncertainty for a subset of the Haug (1995) dataset measured at similar on-column analyte abundance. For these samples, we find an average analytical uncertainty equivalent to ±2.05 °C, which is greater than and in addition to the typical ±1.4 °C 1σ prediction uncertainty of the U^K'₃₇  sea surface temperature proxy. We then discuss the implications of the corrected dataset for our understanding of late Neogene and Quaternary climate in the Kuroshio Extension region.

Released July 08, 2026 10:12 EST

2026, Fact Sheet 2026-3014

Iris J. Garthwaite, Ellen Wengert

Introduction

At the core of the Nation’s land imaging enterprise, the Requirements, Capabilities, and Analysis for Earth Observations (RCA-EO) project serves as the backbone for understanding user needs and shaping the future of Earth observation (EO) systems, products, and technology development. Understanding user needs and continuously tracking observing system capabilities is essential for EO because it ensures that the U.S. Government investments remain aligned with the real-world decisions, applications, and societal benefits they are intended to support.

The RCA-EO project collects data users’ land imaging needs, focusing on what needs to be measured rather than specific technology. Collecting this data has resulted in a comprehensive understanding of civil land imaging user needs across scientific and operational applications. Over the past 10 years, the RCA-EO project has interviewed hundreds of subject matter experts, yielding more than a thousand user needs.

The RCA-EO project’s analytical tools, models, and methods help inform the development of land imaging systems and products, determine appropriate data purchases, and prioritize partnerships for access to data from missions outside of the USGS. Our tools and databases support decisions with credible, needs-based information.

Released July 08, 2026 09:45 EST

2026, Journal of Applied Volcanology (15)

Matthew R. Patrick, Ken Hon, William Tollett, Thomas-Jon Kekoa Hiroaki Hoomanawanui, Katie Mulliken, Tim R. Orr, Michael P. Poland, Kevan Kamibayashi, S. Miki Warren, Seth Swaney, Edward F. Younger, Albert Kamakeʻeaina, Steven Fuke, R. Lopaka Lee, Michael H. Zoeller, Scott R Horvath

Livestream video has become a crucial tool for volcano monitoring in recent years, building upon the use of webcam snapshots that have been common for the past two decades. In Hawaii, livestream video was first tested in 2018, and today, livestream video is a vital tool for the Hawaiian Volcano Observatory and partner agencies (National Park Service and Hawaiʻi County Civil Defense) as well as the public. Its role in volcano monitoring has been highlighted by the 2024–present summit eruption of Kīlauea—where three livestream video feeds provide a continuous and easily accessible view of the activity for the public. Here, we describe the methodology and equipment used for the livestream cameras in Hawaii and discuss the benefits and challenges of livestream video monitoring. We show how the nature of livestream video has fundamentally changed volcano monitoring, providing an “up-close” view to the world that was previously limited to observatory field staff. The livestream video feeds, coupled with the historical summit lava fountains, have provided an unprecedented level of engagement with the public, both local and worldwide.

Released July 08, 2026 09:19 EST

2026, Bulletin of Volcanology (88)

Kendra J. Lynn, Jillian Schleicher, George W. Bergantz, Thomas Shea, Frank A. Trusdell

The deadly 1868 A.D. eruption of Mauna Loa’s lower Southwest Rift Zone (Island of Hawai‘i) included a M7.9 earthquake and associated tsunami and landslides, demonstrating the severe hazards posed by Earth’s largest active subaerial volcano. To better understand the relationship between intense seismic activity, dike emplacement, magma storage, transport histories, and mobilization of olivine cumulates at Mauna Loa, we examine compositional zoning of olivine in the 1868 lava flows. Samples range from basalt (< 10% olivine) to picrite (30–40% olivine). The olivine cargo is heterogeneous (Fo_78.2–89.2; forsterite = [Mg/(Mg + Fe) × 100]) but dominated by ~ Fo₈₉ cores that lie above the Fe-Mg equilibrium field of host glasses. Crystal rims < Fo₈₀ are due to post-eruptive modification in slow cooling lava flows. Minor element compositions fall within the range of other Mauna Loa olivine erupted in the past 200 years. Olivine crystals exhibit both normal and complex Fo zoning patterns that yield timescales of diffusive re-equilibration that range from 3 to 258 days, with 72% of crystals recording 71 days or less. These timescales correspond to magmatic priming of the summit reservoir system ~ 2 months prior to the eruption and the M7.9 earthquake likely facilitated the transport of the crystal-rich summit-derived magmas downrift shortly prior to eruption. If the recently proposed faster Fe-Mg diffusion coefficient is used, timescales instead range from < 1 day to 25 days, with most recording 1 week or less. In this scenario, most of the olivine zoning would have to have been generated after the M7.9 earthquake perturbed the system.

Released July 08, 2026 09:04 EST

2026, Newsletter

Jennifer H. Fair

No abstract available.

Released July 08, 2026 07:55 EST

2026, Science Advances (12)

Emily A. Ellis, George H. Allen, Christian E. Torgersen, Katie A. McQuillan

Dams are well known to alter river thermal regimes, but assessments of downstream temperature changes have been constrained to single dams, single basins, or specific seasonal windows, thus limiting knowledge of their widespread impacts. We used satellite-based thermal infrared observations to quantify river surface temperature differences up- and downstream of 287 large dams in the United States from 2013 to 2024 across all seasons. We found downstream river temperature differences for the majority (71%) of longitudinal river profiles. These downstream changes were typically warmer (60%), and, on average, were sustained or continued to increase within 20 km downstream of the dam. We also found that the magnitude and frequency of downstream alterations varied by dam type, with 91% of extreme (≥ ±4°C) differences occurring at dams with reservoirs. This work documents the pervasive effects of large dams on downstream ecosystems across all seasons on a national scale.

Released July 07, 2026 14:30 EST

2026, Groundwater

E. Randall Bayless, Chad J. Ostheimer, Robert Darner

Direct measurements of groundwater velocity made with borehole flowmeters in screened wells must be compensated for the effects of flow-field distortion (also known as borehole acceleration). A theoretical equation developed by Drost et al. (1968) and simple inputs describing hydraulic properties of well construction and geologic formation were programmed into an Excel workbook to facilitate computation by groundwater-flowmeter users. Tables describing the physical and hydraulic properties for well constructions and gravel pack media are provided with an example to facilitate use of the workbook. Groundwater flowlines converge or diverge as they pass from a geologic formation, through a gravel pack and well screen. The extent of flowline convergence or divergence and the value of the flow-field distortion coefficient is related to the relative changes in hydraulic conductivity of the well screen, gravel pack, and geologic formation. Convergence or divergence is accompanied by acceleration or deceleration of groundwater. Direct measurements of groundwater velocity at the center of the monitoring well can be adjusted to provide a more accurate estimate of velocity in the formation by applying a correction for flow-field distortion. Variables required to compute the flow-field distortion coefficient include the hydraulic conductivity of the gravel pack, well screen, and the geologic formation surrounding the well screen; the borehole radius, and the inside radius and outside radius of the well screen.

Released July 07, 2026 08:31 EST

2026, Journal of Seismology (30)

Gamze Muratoglu, Aysegul Askan, Alan Yong

In this study, we derive generic site amplification functions applicable to Northwestern Türkiye and follow guidance on site classifications established by the United States National Earthquake Hazards Reduction Program (NEHRP). We employ the one-dimensional (1-D) equivalent linear ground response analysis method and focus on recordings from a select suite of free-field strong motion (SM) stations. These particular SM stations are associated with a comprehensive geotechnical site conditions dataset comprising 76 shear-wave velocity profiles. Despite their varying resolutions and depths, this diversity allows for a more representative analysis across different site conditions, enhancing the robustness of our findings. For analyses, we utilize a robust set of global ground motion records, selected from both within and outside of Türkiye, to serve as strong and weak input bedrock motions. Site amplification is determined by propagating these bedrock records through 76 site-specific Afet ve Acil Durum Yönetimi Başkanlığı (AFAD) station profiles and calculating the spectral acceleration ratio between the ground surface and the input motion. Our analyses reveal substantial disparities between the amplification functions derived from 1-D site response analyses using strong and weak input motions. These disparities are central to our analysis and inform the subsequent comparison with site amplification functions reported in the literature.

We compare the generic site amplification functions derived in this study with those reported in the literature for regions with similar geological and seismic conditions to Northwestern Türkiye. For example, site amplification functions for NEHRP Site Classes C and D have been documented for Greece and the United States utilizing frequency-dependent methods such as the quarter-wavelength approximation. Our findings reveal that the generic site amplification functions derived in this study exhibit differences in peak amplitudes and predominant frequencies compared to those in the literature, reflecting regional variations in geotechnical and seismic properties.

This study represents an initial effort to formulate generic site amplification functions for Türkiye, with a particular emphasis on the Northwestern region. A thorough literature review indicated no prior studies have proposed such functions specifically for this area.

Released July 06, 2026 08:19 EST

2026, Ecohydrology (19)

Catherine D.O. Means, Christian E. Torgersen, Joshua J. Lawler, Andrew S. Gendaszek, Benjamin J. Dittbrenner

Beaver modify hydrological regimes and have the ability to both increase water storage and alter stream temperatures. For these reasons, beaver translocation and the construction of human engineered beaver-dam analogs (BDAs) have become popular tools for climate-change adaptation. However, there is a lack of understanding about how beaver engineering affects stream temperature. The results from previous studies vary considerably and the drivers of the discrepancies remain unclear. We investigated the longitudinal and vertical variation of stream temperature in and around 24 sites consisting of one or more beaver ponds across 17 headwater streams around the Methow and Okanogan river valleys of Washington State (USA). We then explored possible hydrologic and environmental drivers of observed thermal patterns. Despite considerable variation, we found that beaver ponds were often associated with an increase in downstream temperatures. The magnitude of this effect increased with total pond hydraulic height, which was directly related to the number and size of ponds per site. We also found that pond bottoms were cooler than upstream inflow sites for a period of time in the afternoon. Thus, although beaver dam complexes in the Methow River watershed do not consistently cool streams—and in fact often increase downstream temperatures—the bottoms of beaver ponds can create relatively cool water areas during the hottest part of the day. Furthermore, if managers choose to use beaver translocation or BDAs, locations with topography that would result in deeper ponds with more canopy cover may limit negative temperature effects on coldwater aquatic biota.

Released July 05, 2026 10:48 EST

2026, Frontiers in Earth Science (14)

Harry J. Dowsett, Whittney Spivey, Kevin M. Foley, Marci M. Robinson

The Piacenzian Age (3.60–2.58 Ma) of the Pliocene Epoch was characterized by globally warmer climates, higher sea levels, and atmospheric CO₂ similar to present. Utilizing a robust dataset of 2,101 samples and over 637,000 foraminifer specimens from 77 deep-sea core sites worldwide, we document planktic foraminifer biogeography and biodiversity during the mid-Piacenzian Warm Period (mPWP). Cluster analysis and multidimensional scaling reveal five major bioregions: tropical, warm subtropical, transitional, polar, and a distinct North Atlantic polar bioregion. Each bioregion was dominated by characteristic species with well-established temperature preferences. Analyses demonstrate higher species richness and evenness in low and mid-latitudes, with increased diversity associated with periods of climatic warming and poleward expansion of warm water assemblages. The long-term stability of biogeographic patterns underscores ecological conservatism but also highlights potential vulnerability to rapid anthropogenic climate change. Our findings emphasize the critical role of planktic foraminifers in reconstructing past ocean conditions and offer valuable insights into links between planktic biogeography, climate, and socioeconomic impacts on marine ecosystems. This work advances our understanding of marine ecosystem responses to climate extremes and provides a foundation for future regional and temporal analyses of planktic foraminifer biogeography under global change scenarios.

Released July 04, 2026 10:34 EST

2026, Tectonics (45)

Rud L. Moe, John Bershaw, Lydia M. Staisch, Ashley R. Streig

The Chehalis basin is located between the Cascade arc and the Coast Range in southwest Washington State. It consists of sedimentary and volcanic rocks deposited throughout the Cenozoic and is underlain by the Siletzia terrane, a thick, large igneous province accreted in the Eocene. Here, we constrain evolution of the Chehalis basin depocenter using isochore maps derived from isostatic gravity anomalies, borehole data, and stratigraphy for several time periods: the Eocene (47.6–36.8 Ma), the Oligocene (36.8–20 Ma), and the Neogene (20–0 Ma). Our results suggest that local subsidence is driven by deformation on faults that bound and intersect the basin. We see northward depocenter migration, interpreted as a shift in deformation from the northwest striking Cedar Creek fault to the west striking Doty fault. We interpret these data in terms of the long-term north-south shortening and clockwise rotation of the Cascadia forearc. During the Eocene, the Cedar Creek fault was preferentially aligned with north-south shortening, but became less active when clockwise rotation brought the Doty fault into east-west alignment with the stress field. Sediment accumulation rates decreased from 196 m/Myr in the Paleogene (∼40–20 Ma) to 27 m/Myr in the Neogene (∼20–0 Ma) as Miocene uplift of the Coast Range limited accommodation space and shifted the depositional environment from marine to fluvial. Our results are consistent with the geologic evolution of the Portland and Tualatin basins to the south and reveal a depositional and structural history uniquely shaped by clockwise rotation of the Cascadia forearc.