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At least 127 records · Page 7Linked to original sources
USGS2026

Abrupt onset and persistent downstream effects of acid rock drainage on rivers across northwest Arctic Alaska

Arctic streams and rivers are increasingly vulnerable to degradation from permafrost thaw that releases toxic elements via natural acid rock drainage. However, the spatial and temporal evolution of acid rock drainage on river chemistry across diverse mineral settings remain poorly constrained. Here, water chemistry in six watersheds across Alaska's Brooks Range (2022–2024) quantified the effects of acid rock drainage on river chemistry. Point-source acid rock drainage inputs (seeps and impaired tributaries) exhibited lower pH (median; pH: 3.2 and 6.9, respectively), higher sulfate (SO 4 2− : 3,025 and 390 mg L −1 , respectively), and elevated major and trace element concentrations (sum of 23 metals: 451 and 9.2 mg L −1 , respectively), compared to upstream unimpaired mainstem rivers (pH = 8.3, SO 4 2− = 68 mg L −1 ; metals = 0.1 mg L −1 ). Across watersheds, these inputs increased mainstem concentrations of major and trace elements (e.g., Fe, Al, Mn, Zn, Ni, Cd, and rare earth elements) and SO 4 2− ; however, mainstem river pH remained stable due to sufficient buffering. Within the Salmon River, concentrations of filter-passing and particulate fractions of constituents (SO 4 2− , Fe, Zn, Ni, and Cd) were elevated ≤70-fold at >100 km downstream of acidic inputs, documenting long-range transport. Temporal analyses of SO 4 2− and Zn concentration (2015–2024) revealed abrupt increases (≤263%) in two watersheds between 2019 and 2020, aligning with antecedent record warm and snowy winter conditions. Collectively, our results document the abrupt onset of acid rock drainage across Arctic rivers with potential for long-range downstream transport and implications for biogeochemical cycles and ecological and human health.

Alaska↗
USGS2026

Barrier island geomorphic complexity drives storm and post-storm response

Barrier islands are at the forefront of climate-driven changes, with their resiliency threatened by rapid fluctuations in the physical drivers that shape them. Quantifying magnitudes and directions of storm-driven sediment fluxes and rates and modes of sediment recovery is essential for predicting barrier island trajectories. Yet scarce shoreface observations have limited such efforts. Here, shoreface-inclusive measurements of barrier sediment fluxes over five years following an extreme storm reveal distinct sediment redistribution patterns that vary with island geomorphology. Overwash fluxes were low compared with seaward fluxes, inlet-related landward transport, and previously modeled estimates. Without these observations, models may overestimate island elevation-building capacity that is key to sea-level adaptability. Post-storm recovery was incomplete despite human intervention, altering barrier sediment distribution from pre-storm conditions. This may increase vulnerability to future storms and rising water levels and suggests management approaches tailored to island geometry may better compete with climate change effects.

New York↗
USGS2026

The FunAqua dataset of global fungal biodiversity in aquatic ecosystems

Advances in high-throughput DNA sequencing technologies have accelerated research on aquatic microorganisms, their diversity, and ecological functions. This has also significantly advanced research on fungi that shape aquatic ecosystems and food webs. Here, we present the FunAqua dataset, which describes global fungal biodiversity in aquatic ecosystems based on eukaryotic long-read metabarcoding data from 1,076 sediment and 1,299 filtered water samples collected across 1,452 sampling sites in 87 countries. We targeted the internal transcribed spacer (ITS) region. In total, 50,152 fungal OTUs were recorded. The sequencing data is accompanied by comprehensive sample metadata, including physicochemical data of water and sediments. The FunAqua dataset provides a new resource for analysing and better understanding the biodiversity of fungi in different types of aquatic habitats across biogeographical regions. The dataset described in this data paper will be periodically updated with additional metabarcoding data.

Scientific Data↗
USGS2026

A genomic tool to tackle cryptic diversity demonstrates the potential for off-target use of GT-seq panels

A comprehensive understanding of life history is vital to successful species conservation and management. When different life history stages are accompanied by considerable morphological or cryptic variation, such as the egg and larval phases exhibited by most fishes, genomic tools are essential for identifying species so that early-life ecology questions can be studied. Genotyping-in-thousands by sequencing (GT-seq) has recently emerged as a targeted and efficient approach for species identification. We leveraged existing genomic and transcriptomic data to develop a GT-seq panel capable of differentiating the members of the Coregonus artedi complex, a radiation of salmonids in the Laurentian Great Lakes whose members are indistinguishable with mitochondrial DNA barcoding loci and are the focus of bi-national conservation initiatives. Our panel of 494 loci was able to assign fishes in the C. artedi complex to species and lake. We examined cross-amplification in other coregonines with overlapping distributions and found that congeneric Lake Whitefish ( C. clupeaformis ) cross-amplified at 94% of loci and confamilial Round and Pygmy Whitefish ( Prosopium spp.) cross-amplified at 42% and 38% of loci, respectively. We adapted bioinformatic probes to account for Prosopium -specific variants including 22 new SNPs and developed a whitelist of 428 SNPs capable of distinguishing these whitefishes. Finally, we demonstrated performance by identifying 3066 coregonine larvae and juveniles collected in spring 2019–2021 from Lake Superior. These results hold promise for future insights into the species-specific ecology of early life coregonines and demonstrate the flexibility of GT-seq panels, which may cross-amplify hundreds of informative genome-wide loci in related taxa.

Great Lakes↗
USGS2026

Hydrogeology and water quality of the unconsolidated aquifer system in the Lower Fall Creek Valley, Tompkins County, New York

The U.S. Geological Survey, in cooperation with Tompkins County and the Town of Dryden, conducted a hydrogeologic investigation of the lower Fall Creek unconsolidated aquifer system in Tompkins County, New York. This study is part of an ongoing effort to characterize major valley-fill aquifers in the region to support sustainable groundwater management. The lower Fall Creek valley, encompassing the Village of Freeville, the unincorporated communities of Etna, and the hamlets of McLean and Varna, has experienced moderate development and relies heavily on groundwater for residential, agricultural, and commercial use. The study area spans approximately 51 square miles along the boundary of the Allegheny Plateau and North Rim of the Allegheny Plateau physiographic provinces. The aquifer system, composed primarily of glacially derived sand and gravel deposits, includes both unconfined and confined aquifer units. For the approximately 2,300 people who live over the aquifers, groundwater is the sole source of drinking water. In some areas, such as the Village of Freeville, artesian conditions exist, with potentiometric heads exceeding 25 feet above land surface. This report describes the hydrogeologic framework, aquifer distribution, groundwater-flow dynamics, and water quality of the lower Fall Creek aquifer system. Groundwater is generally hard and contains elevated concentrations of redox-sensitive constituents, such as iron and manganese relative to U.S. Environmental Protection Agency secondary maximum contaminant levels. Arsenic was not detected above the U.S. Environmental Protection Agency maximum contaminant level during this study but remains a regional concern due to past detections in the study area and nearby aquifers. The findings provide data for local planners and resource managers to use in understanding and protecting this water resource.

EarthArXiv↗
USGS2026

Magnitude and frequency of urban floods in Alabama and Mississippi using data through the 2024 water year

To improve flood-frequency estimates for urban streams in Alabama and Mississippi, the U.S Geological Survey, in cooperation with the Alabama and Mississippi Departments of Transportation, estimated streamflows corresponding to selected annual exceedance probabilities (AEPs) for 64 streamgages on urban streams in the two States—48 in Alabama and 16 in Mississippi. Using estimates from 42 of the 64 streamgages, regression equations were developed that can be used to predict streamflows corresponding to the selected AEPs at ungaged locations on urban streams. Annual peak-flow data through September 2024 were used in the at-site flood-frequency analyses. Drainage area and the percentage of developed land use in the drainage basins of the streamgages (from the 2011 National Land Cover Database) were identified as statistically significant explanatory variables. Pseudo coefficient of determination (pseudo-R2) values ranged from 81 percent for the 0.2-percent AEP (500-year flood) to 91 percent for the 4- and 2-percent AEPs (25- and 50-year floods, respectively). Standard errors of prediction ranged from 23.1 percent for the 4-percent AEP (25-year flood) to 36.1 percent for the 2-percent AEP (500-year flood).

Alabama, Mississippi↗
USGS2026

Trends and seasonal patterns of nitrogen and phosphorus concentrations and loads in two Mississippi Alluvial Plain watersheds following nutrient reduction efforts during 2010–22

The Mississippi Alluvial Plain ecoregion in Mississippi was historically part of the largest continuous wetland in North America but was clearcut and converted to row crop agriculture beginning in the late 1800s. To reduce the effects of agriculture on surface waters in the Mississippi Alluvial Plain, nutrient reduction best management practices have been implemented throughout the region, particularly in two small watersheds: Harris Bayou watershed (174.04 square kilometers) and Porter Bayou watershed (267.15 square kilometers). Since 2009, the U.S. Geological Survey, in cooperation with the Mississippi Department of Environmental Quality, has collected water-quality samples monthly and during high-flow runoff events, at three locations within each watershed to monitor and assess nutrient trends following best management practice implementation. Here, we have analyzed long-term and seasonal trends in discharge, total nitrogen (TN), and total phosphorus (TP) concentrations and loads using a combination of quantile-Kendall analysis, quantile regression, generalized additive models, and weighted regression on time, discharge, and season. In Harris Bayou watershed, discharge values at a ~0.4–0.5 daily nonexceedance probability increased by 15 percent per year at the uppermost monitoring site. Additionally, TN concentrations decreased throughout the watershed over time, particularly in the spring and winter months. Reductions in TP were less apparent and only observed at one sampling location in Harris Bayou watershed. Nutrient concentrations in Porter Bayou watershed remained consistent over time and increased at one sampling location. However, despite discrepancies in concentration trends, flow-normalized TN and TP loads consistently decreased over time in both watersheds. At the mouth of both watersheds, peak TN and TP loads decreased between 37.7 and 56.9 percent. Collectively, these results provide evidence that best management practices may help reduce the effect of agricultural practices in the region, particularly in Harris Bayou watershed. Additionally, management efforts resulted in greater reductions in TN concentrations than in TP concentrations.

Mississippi↗
USGS2026

Streamflow, water quality, and energy development characteristics and water-quality trends for selected sites in the Green River and Muddy Creek drainage basins, southwestern Wyoming, water years 2006–16

Energy resource development in southwestern Wyoming has been rapidly expanding since the early 2000s to include innovative technologies for extracting oil and gas and enhancing renewable energy. In response to concerns about the potential negative effects of energy development on natural resources, the Wyoming Landscape Conservation Initiative was created to implement a long-term, science-based program of assessing, conserving, and enhancing fish and wildlife habitats while facilitating responsible energy development through local collaborations and partnerships. The U.S. Geological Survey, in cooperation with the Bureau of Land Management, began monitoring streamflow and water quality as part of this initiative in 2006 at four U.S. Geological Survey streamgages within the Green River and Muddy Creek drainage basins to characterize the effects of energy development on streamflow and water quality in these areas. To quantify changes in water quality metrics, trend analyses for the 2006–16 water years were calculated and related to drainage basin characteristics including energy development (wells per square mile). Effects of energy development on water quality varied by watershed and the variability was driven primarily by the runoff efficiency and the geochemistry of the drainage basin. The New Fork River water chemistry was a calcium-bicarbonate type with low ionic strength and showed no statistically significant trends in water quality despite increased energy development. The Green River experienced moderate energy development, with significant upward trends in magnesium and alkalinity, indicating low sensitivity to development. Muddy Creek near Dad had minimal energy development and complex hydrogeochemical characteristics, showing mixed trends in water quality constituents. Muddy Creek near Baggs experienced moderate energy development, with significant upward trends in several water quality indicators indicating a response to the land disturbance associated with development. Overall, geochemistry and runoff efficiency influenced the vulnerability of water quality to energy development activities, highlighting the importance of drainage basin physical characteristics on vulnerability to development.

Wyoming↗
USGS2026

Remote detection of streambank erosion and channel incision using high-resolution, repeat lidar-derived metrics in Raleigh, North Carolina

This study evaluated the use of lidar data to detect streambank erosion and channel incision throughout Raleigh, North Carolina. The study included five components. (1) Generation of lidar-derived rasters, including a digital elevation model of difference that represented channel erosion and positive openness rasters that represented channel incision. (2) Completion of site-based field assessments throughout the study area. (3) Spatial analysis of raster datasets at three spatial scales: erosion patches, channel segments, and subbasins. (4) Comparison of field assessment results with lidar-derived metrics. (5) Pairing of landscape attributes with lidar-derived metrics to evaluate potential causative factors associated with variations in channel incision. Field assessment results indicated 74% of surveyed sites had Bank Erosion Hazard Index ratings ranging from ‘high’ to ‘extreme’ and 77% had ‘high’ or ‘severe’ degrees of channel incision. Select field measures showed agreement with lidar-derived metrics. Lidar-derived erosion patches, ranging in size from 20 to 948 m 2 , were detected in 24.3% of channel segments, and patch density increased with Strahler stream order. Channel segments, ranging from 50 to 150 m, had inconsistent spatial patterns of erosion and incision. Erosion in channel segments increased with Strahler stream order and 36% of channel segments became more incised during the study period. Lidar-derived metrics across subbasins revealed variability of erosion and incision throughout the study area. The assessment of landscape drivers could not explain variability at the channel-segment scale, but subbasins with fewer forests tended to have greater erosion and incision. However, unexplained variability remained, demonstrating the complexity of stream stability in urban watersheds. As lidar datasets become more widespread, pairing remote data with field assessments may be a viable approach to characterize and understand stream geomorphology in urban settings.

North Carolina↗
USGS2026

Effect of land-use change and climate on coral calcification and geochemistry: A 253-year time series from west Maui

Land-use change and climate variability both regulate land-based inputs of sediment and nutrient delivery to coral reefs, yet few records in Hawaii can identify when these land-based inputs began or how they have evolved through time. We present a 253-year (1760–2013) coral core record from Olowalu reef, Maui, spanning pre-colonial settlement through the rise and decline of sugarcane agriculture, water diversion, and modern coastal development. Trace element ratios (e.g., Ba/Ca, Y/Ca, P/Ca, Fe/Ca, Sr/Ca) and coral growth parameters document how watershed disturbance and climate variability have influenced reef conditions. Coral trace element records exhibit coherent variability at annual to decadal timescales consistent with El Niño–Southern Oscillation and Pacific Decadal Oscillation frequencies, suggesting climatic control on runoff and groundwater delivery. Superimposed on this natural variability, Ba/Ca, P/Ca, and Fe/Ca increased by 17–55% from the eighteenth century to the late twentieth century, with the largest increase occurring during the mid-1900s and coinciding with the maximum extent of Maui sugarcane plantations. These shifts indicate prolonged increases in sediment and nutrient inputs to the reef. Coral calcification increased by ~30% prior to ~1970 but declined thereafter, coincident with the peak sugarcane production. The negative correlation between coral calcification rate and terrigenous proxies (e.g., Ba/Ca, Y/Ca, P/Ca, and Fe/Ca) suggests that episodic terrestrial inputs from sugarcane plantations depressed coral calcification. This record provides the first pre-colonial to modern baseline for ridge-to-reef connectivity in Maui and demonstrates that historical land-use change has left a persistent geochemical imprint on the downstream reef ecosystem.

Hawaii↗
USGS2026

Application of novel encounter and predation models to the natural behavior of slimy sculpin Cottus cognatus

Sculpins play a critical mid-trophic role in lacustrine food webs, converting production by benthic and migrating pelagic invertebrates into biomass available to higher trophic levels. Although sculpin diets and habitat choices are relatively well described, much less is known about their in situ behavior which governs trophic interactions and, in part, prey behavior. We measured the natural behavior of slimy sculpin Cottus cognatus in Lake Champlain using video data originally collected to quantify Mysis diluviana abundance in benthic habitat. After characterizing slimy sculpin movement behaviors according to body size, we incorporated these data into encounter and predation rate models at the individual and population levels, the latter based on bottom trawl data from Lake Champlain. Saltatory movement varied with body length in terms of distance traveled, duration traveled, and duration at rest, but strike distances at prey did not vary across individual sculpins. Slimy sculpin predation rate increased with depth and was limited by pursuit time rather than prey availability, and their populations exerted predation rates on Mysis up to 5 predation events/m 2 /day. Assessment of benthic predation risks affords the opportunity to test hypotheses about the role of predation risk in Mysis diel vertical migration (DVM), and DVM more broadly. Furthermore, the methods we describe here can easily be employed for other benthic fishes such as the invasive round goby Neogobius melanostomus .

New York, Vermont↗
USGS2026

Description of multiple cryptic species of Obovaria Rafinesque, 1819 (Bivalvia: Unionida) from the Mississippi Embayment and Gulf coastal rivers of North America

The freshwater mussel genus Obovaria (Bivalvia: Unionidae) has long been recognized as taxonomically challenging due to plastic shell morphology, historical misidentifications, and incomplete geographic sampling across the southeastern United States. Using an integrated approach combining shell morphology, comparative conchology, geographic distribution, and molecular phylogenetic evidence, we revise the taxonomy of Obovaria in the Gulf Coastal Plain and adjacent drainages. We describe five new species: Obovaria sipseyensis sp. nov. from the Tombigbee River basin of Alabama and Mississippi; Obovaria neeskaensis sp. nov. from the White River basin of Arkansas and Missouri; Obovaria pinetorum sp. nov. from the west Gulf Coast drainages of Louisiana and Texas; Obovaria tallahattae sp. nov. from lower Mississippi River tributaries of Mississippi; and Obovaria lumbo sp. nov. from Lake Pontchartrain, Pascagoula River, and Pearl River basins of Louisiana and Mississippi. We further recognize Pseudoon olivarium comb. nov. based on its phylogenetic distinctiveness from Obovaria . Our results reveal previously unrecognized endemism and cryptic diversity within Obovaria , with significant implications for conservation and management. Several species treated herein are rare and geographically restricted, underscoring how basin-specific conservation strategies and accurate taxonomic recognition can guide freshwater mussel recovery efforts.

Mississippi Embayment and Gulf Coastal Plain river↗
USGS2026

An assessment of the quality of microanalysis of natural silicate glass using scanning electron microscope-based energy dispersive spectrometry (SEM-EDS)

The composition of volcanic glass records important clues into the origin and evolution of magmatic systems. However, the analysis of volcanic glass presents challenges when performed using electron-beam techniques, particularly due to Na mobility. While microanalysis of geological materials is usually performed using electron probe microanalyzer-based wavelength-dispersive spectrometry (EPMA-WDS), we present here results of glass analysis using energy-dispersive spectrometry with a scanning electron microscope (SEM-EDS). We use three U.S. Geological Survey (USGS) whole-rock reference materials (i.e., RGM-1, STM-1, QLO-1) that were fused into glass using a double-fusion technique. Results for 12 sessions over two months using the SEM-EDS reveal excellent reproducibility, agreement with the expected values for RGM-1 and STM-1, and excellent counting statistics when using live acquisition times of 15 s; results for QLO-1 suggest that the fused material is somewhat inhomogeneous. For longer acquisition times (30, 60, 90 s), significant Na migration is observed; we conclude that minimal Na migration takes place with acquisition times of 15 s using our analytical instrumentation. We also compile data for RGM-1 obtained using the same instrument over the last decade, and we further demonstrate the reliability of SEM-EDS for microanalysis of silicate glasses. Comparison of our results with EPMA-WDS results for a range of reference materials published by researchers at the USGS Alaska Volcano Observatory suggest that both EPMA-WDS and SEM-EDS can yield adequate analysis of volcanic glass, but SEM-EDS can potentially lead to higher precision for major elements (>1 wt.% concentration), while EPMA-WDS typically leads to higher precision for minor elements. The higher precision of SEM-EDS results for major elements, combined with the more widespread distribution, lower usage cost, and higher ease of use of such systems, makes analysis via SEM-EDS an attractive option for measuring major-element compositions of volcanic glass. However, it is critical to test the quality of each instrument given differences in hardware and software between SEM and EDS systems.

American Mineralogist↗
USGS2026

Special Contributing Area Loading Program user’s manual

Information on the Special Contributing Area Loading Program execution and functions are presented in this user’s manual. An appendix presents a potential improvement for the user to consider. The hydrologic routing simulation method to model flow through multiple reservoirs, or sewer system components, is described. The use of Special Contributing Areas is described to run a successful simulation, which includes user input of hydrologic time series of flow components and the necessary formats. Upon completion of a successful Special Contributing Area Loading Program simulation, the program outputs hydrologic time series and a descriptive text file containing the model results for each defined sub-unit, or Special Contributing Area. The output time series contain flows through, and overflows from, the three reservoirs in the series, and the text file contains input and output path locations.

Open-File Report↗
USGS2026

Detecting demographic patterns of old coast redwood forests in northern California

Forest demography is difficult to describe accurately. Tree recruitment and mortality are uncommon events, so that rates based on these observations often require long survey periods using large numbers of trees. Demographic rates can scale with tree size, so challenges describing demography are pronounced in coast redwood forests that are dominated by extremely large Sequoia sempervirens . Here, we present 10 years of observations from 15 1-ha plots in unmanaged primary coast redwood forests in northern California. The size distribution of live stems followed a “reverse-J” shape, with many small trees relative to large trees. Sequoia dominated these plots, particularly in terms of stem area. Mortality and recruitment rates varied among common species, with Sequoia having much lower mortality relative to co-occurring conifers and hardwoods. Mortality varied substantially among size classes and taxonomic groups, while little variability in recruitment occurred among taxonomic groups. Mortality rates were consistently greater than recruitment across taxonomic groups during our 10-year observation period. Our area experienced heavy winter storms in 2022–2023 resulting in numerous blowdowns, although mortality still outpaced recruitment when we excluded years affected by the storms. Simulations using current plot data found low statistical power to detect potential future changes in the mortality rate of Sequoia . We consider how these results could inform conservation of old Sequoia forests.

California↗
USGS2026

Predicting streamflow drought in the conterminous United States using machine learning and a donor-gage approach, 1982–2020

Drought is a highly consequential natural disaster that may likely increase in both severity and extent across the conterminous United States (CONUS). The mechanisms affecting the propagation of drought from the atmosphere to streamflow are complex and interactive, making the prediction of streamflow drought difficult with current modeling approaches. Machine learning is an emerging tool in the field of hydrology that may be well-suited to prediction of streamflow drought across large and topographically diverse areas. Here, we train and analyze 3198 random forest models at U.S. Geological Survey streamgages to understand common meteorological drivers of streamflow drought and to define physiographic characteristics of basins sensitive to these drivers. We also develop a novel dynamic regionalization approach using donor gages to predict daily streamflow drought at pseudo-ungaged locations. Our results show that teleconnections, temperature, evaporative demand, and snow–water equivalent are important drivers of streamflow drought in the West, Southwest, and Northern Rocky Mountains (Northern Rockies) regions of the United States, and precipitation and soil moisture are primary drivers of streamflow drought in the Northeast, Southeast, and the Northwest regions. Prediction using dynamic regionalization shows comparable performance to at-site models. This method may be applicable to other hydrologic prediction problems requiring transferability to ungaged locations.

conterminous United States↗
USGS2026

Fire regime shift reveals 17th century socio-ecological change in the Rio Grande del Norte National Monument, New Mexico

Humans have influenced ecosystems for millennia, and social changes can have notable ecological effects. Recent human influence on ecosystems is exemplified by the collapse of fire regimes circa 1900 in the western United States due to increased grazing, fire suppression, and declining Indigenous fire use. Climate can also drive fire regime changes, which is reflected by increasing area burned across the West in recent decades associated with warming and increased aridity. In the southwestern United States during the mid-1600s, large social changes accompanied Spanish colonization. These changes included increases in domestic livestock (e.g., sheep and horses), declines of Indigenous populations and cultural burning, and exploitation of Puebloans that led to the 1680 Pueblo Revolt, an Indigenous uprising that expelled Spanish colonizers for 12 years. The ecological effects of these large social changes are not well studied. The goal of this study was to use tree-ring fire histories to investigate fire dynamics of a sagebrush-dominated landscape in the Rio Grande del Norte National Monument (RGDN) in northern New Mexico, including the effects of historical social and climatic changes. We reconstructed fire history on four forested mountains that rise above the sagebrush/grass plateau. We asked: (1) What was the pre-1900 fire frequency, season, and fire–climate relationship in the RGDN? (2) Was there evidence for fire spread in the sagebrush/grass flats between the mountains? and (3) Did regional social or climate changes influence fire regimes? From 1400 to 1679, we found frequent fire within forests (8–12-year median fire intervals [mfi]) and potential evidence of spreading fire through the sagebrush/grass ecosystem based on greater-than-expected intermountain fire synchrony. However, beginning in the mid-1600s and continuing after the Pueblo Revolt of 1680, there was (1) a significant decline in fire frequency, including 38–166-year mfi and no fire for >350 years at two sites; and (2) only one synchronous fire between mountains. During this 17th century period of socio-ecological change there was no persistent shift in climate. We propose that reduced Indigenous ignitions and increased domestic grazing, which reduced herbaceous fuels and fire spread, are likely causes of the extraordinary early and persistent reduction in fire.

New Mexico↗
USGS2026

IVyTools: Space-Time Image Velocimetry for streamflow

Accurate streamflow measurements are essential for hydrologic monitoring, flood forecasting, and water resource management. Traditional in situ methods, although reliable, are often impractical or unsafe during flood conditions or at inaccessible locations. Image velocimetry techniques offer a potential non-contact alternative, yet operational adoption has been hindered by the lack of standardized, open-source tools, particularly for Space–Time Image Velocimetry (STIV). This paper introduces IVyTools, an open-source software application for operational streamflow measurement using STIV. Developed by the US Geological Survey (USGS), IVyTools integrates standardized streamflow measurement protocols into a reproducible, quality-controlled workflow that includes video preprocessing, orthorectification, velocity estimation, and streamflow (discharge) computation. The software incorporates a dual-method uncertainty framework based on ISO 748:2007 and an adapted Interpolated Variance Estimator (IVE), enabling users to quantify and diagnose measurement uncertainty. Validation against an independently published benchmark dataset demonstrates that IVyTools achieves a mean absolute percentage error of 4.56% (MAE = 5.16 m 3 /s ) from field-measured reference discharges, with acceptable performance across diverse river conditions. This work supports the broader adoption of image-based streamflow measurement methods and provides a foundation for potential future automation and integration into real-time hydrologic networks.

River Research and Applications↗