Geology topics

Research about California

Source-linked reports with geographic coverage including California.

At least 19 recordsLinked to original sources

USGS2026

Drivers of ecosystem metabolism in an anthropogenically modified delta

Estuaries are under threat globally from a wide range of stressors, with rates of ecosystem metabolism – respiration (R), gross primary production (GPP), and net ecosystem metabolism (NEM) – representing a way for resource managers to quantify their impacts. In this study, we assessed how natural and anthropogenic stressors have altered metabolism within the extensively modified Sacramento-San Joaquin Delta (“Delta”) in California, USA. Metabolism was estimated using a diel open-water technique utilizing dissolved oxygen measurements from a high frequency (15 min) water quality monitoring array, and spanned 6 sites across 11 years (2014–2025). Our analyses were driven by a conceptual model of Delta carbon (C) cycling focused on 1) Invasive aquatic vegetation (IAV), 2) Phytoplankton, 3) Wastewater treatment plant (WWTP) upgrades, 4) Large-scale flow alterations, and 5) Wet vs. dry years. We found that allochthonous C fuels net heterotrophy in the outer riverine sections of the Delta, while the heavily vegetated central Delta produces autochthonous C remineralized elsewhere in the system. IAV were the dominant primary producers, with low phytoplankton production except during a historic bloom. WWTP upgrades imparted negligible changes to metabolism, with low chlorophyll a (< 5 µg L −1 ) both before and after. Introduction of a flow barrier – a management response to drought – hydrodynamically isolated deep-water channels from nearby shallow areas, resulting in decreased metabolism indicative of changes to C transport. Contrary to past research, low rainfall years were associated with increased metabolism. This study demonstrates how multi-sensor arrays can be used to quantify ecosystem responses to major environmental stressors.

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USGS2026

Highly pathogenic H5N1 avian influenza infection and exposure in waterfowl and waterbirds of the Sacramento National Wildlife Refuge Complex, 2022-2025

The introduction of clade 2.3.4.4b highly pathogenic avian influenza (HPAI) H5N1 into North America in 2021 marked a significant shift in disease dynamics for wild waterfowl populations. To assess infection and seroprevalence trends following this incursion, we leveraged ongoing capture efforts at the Sacramento National Wildlife Refuge Complex between October 2022 and July 2025 to conduct sampling for HPAI H5N1 prevalence and seroprevalence. Our efforts resulted in the analysis of 384 swab and 204 sera samples from assorted waterfowl and waterbird species. HPAI H5N1 infection was confirmed in only three individuals (two Snow Geese and one Greater White-fronted Goose), all asymptomatic at capture. Antibodies to influenza A viruses (IAVs) were detected in all duck and goose species with the majority of positive samples also testing positive for antibodies to both H5 and N1, demonstrating a relatively high population level of previous exposure and likely immunity that aligns with previous findings in these species. This study also reports the first known observation of H5 antibodies in American Coot, though both overall IAV seroprevalence and H5 specific antibodies were notably lower than in sympatric waterfowl. This disparity suggests that American Coot may have lower susceptibility to infection or exhibit behavior that limits exposure compared to sympatric waterfowl. Together these results underscore the value of serologic surveillance as a supportive surveillance strategy to better inform potential management strategies related to HPAI H5N1 risk in wild birds.

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USGS2026

Terrain-based map of mélange and intact rock at the junction of Coastal and Central Belt rocks of the Franciscan Complex between Gualala and Ukiah, northern California Coast Ranges

A terrain-based map of a large area of Franciscan Complex between the San Andreas and Maacama faults east of Point Arena, California, provides much new detail compared to prior mapping. The new map reveals an unusual, structurally disrupted area that is defined by northwest-trending patches of erosionally resistant topography interspersed in subdued topography. These two terrain types, here termed Hard and Soft, are distinguished using differences in the detailed shapes of individual topographic elements that in these rocks are indicative of relatively intact rock and severely sheared mélange. The disrupted area lies at the junction between rocks of two different parts of the Franciscan Complex: sandstone and argillite of the Coastal belt to the northwest and mélange and variously metamorphosed sandstone and other rocks of the Central belt to the southeast. The rocks in the disrupted area seem to consist largely of Coastal belt sandstone interspersed in Central belt mélange. They are separated from areally continuous Coastal belt to the west by the newly defined Cedars fault and from continuous mélange of the Central belt to the east by the newly defined Boonville fault. A plausible history to account for Coastal belt rocks and Central belt mélange now interspersed at the same structural level in the disrupted area is westward thrusting of Central belt over Coastal belt on the Coastal belt thrust, located mostly above the present level of exposure, followed by extensional dip-slip faulting involving both the disrupted area and its bounding faults. Most of the study area has been mapped on the ground only in reconnaissance. The terrain map was prepared largely by interpretation of small-scale aerial photographs, with distinctions in the steepness of slopes and curvature of ridge and side-hill crests made from the photographs. These distinctions were then confirmed by differences in their areal abundance determined through quantitative mapping of slope and curvature. Most of the remainder of the map was prepared in the same fashion directly from the slope and curvature maps. Geologic identities are assigned to as much of the area as possible, but some resistant parts, mostly in the disturbed area, remain identified solely as Hard terrain. Some units, mostly along the southern edge of the map, are compiled from published sources. This report serves as a description and explanation of the associated spatial database (Wentworth, 2025), which consists of attributed line and polygon shape files and metadata describing them.

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USGS2026

Improving estimates of spatially distributed agricultural land use using pesticide data

Accurate, spatially resolved agricultural land-use data are essential for estimating water demand, evaluating agricultural production, and understanding long-term changes in managed landscapes. However, existing land-use datasets are often temporally discontinuous, particularly for historical periods, and remotely sensed classifications face persistent challenges distinguishing spectrally similar crop types, capturing sub-annual rotations, and separating active from abandoned plantings. We developed the California Pesticide Use Reporting Land-Use Estimator (CalPUR-LUE), which converts grower-reported pesticide-application records into annual estimates of land use by crop class and cropped acreage at approximately 1-square-mile resolution across California. CalPUR-LUE performance was evaluated for 2018 using complementary spatial, categorical, and quantitative comparisons with California Department of Water Resources (CADWR) remotely sensed land-use data and county-level agricultural economic reports. At the county-meridian-township-range-section (COMTRS) scale, CalPUR-LUE and CADWR acreage estimates showed substantial proportional agreement (log-transformed Lin’s concordance correlation coefficient = 0.77) with a mean proportional bias of −15%. Crop-class agreement was high when CalPUR-LUE identified agricultural activity, with user’s accuracy exceeding 83% for all evaluated crop classes. Overall categorical agreement was 67% (Cohen’s kappa = 0.56). Grain crop underestimation contributed substantially to disagreement; however, there is evidence of CADWR systematic overestimation of grain during 2016–2019. County-level agricultural reports further corroborated CalPUR-LUE estimates and, in several cases, aligned more closely with CalPUR-LUE than with CADWR. These results demonstrate that pesticide-use reporting provides an independent and complementary source of agricultural land-use information that can corroborate contemporary estimates and reconstruct annual spatially distributed land use where historical data are limited.

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USGS2026

Duck nesting response to experimental management of upland habitats in California

Habitat loss and limited upland nesting cover likely constrain waterfowl productivity in intensively managed wetland landscapes in California, USA. We evaluated whether experimental manipulations of upland habitats, including the seeding of native plants, dense nesting cover, or cereal grains, could enhance nesting vegetation and improve duck nest density and nest survival in a Mediterranean climate. During 2008 to 2013, we used a before-after-control-impact (BACI) experimental design within 15 upland grassland fields (each 12–28 ha in size) at a state wildlife area to evaluate habitat management treatment effects on nest site vegetation, vegetation structure, and reproductive performance of mallard ( Anas platyrhynchos ) and gadwall ( Mareca strepera ). The BACI design allowed vegetation and duck nesting responses in treated fields to be compared to untreated control fields both before and after treatment implementation. Prior to treatment implementation, all study fields consisted of upland grasslands dominated primarily by non-native annual grasses typical of Mediterranean-climate ecosystems in California. Relative to control fields, we observed only limited improvement to duck nest success in fields seeded with cereal grains and dense nesting cover, whereas fields seeded with native plants showed persistently lower duck nest survival. Vegetation composition after treatment application shifted rapidly from plants that were purposefully seeded to non-native grasses (e.g., Italian ryegrass [ Lolium multiflorum ]) by the second and third years after treatment. Vegetation structural metrics (i.e., visual obstruction height, lateral density, and canopy density) also showed limited or no improvement attributable to the experimental treatments. Across nearly all treatment and control fields, duck nest densities increased during the first several years following treatment implementation but later declined towards pre-treatment levels by the fourth year after treatment. However, mallard nest densities increased much more markedly in native fields than in control fields in the early post-treatment years but declined again in later post-treatment years, suggesting limited long-term benefit. Clutch size, nest initiation date, and egg hatching success were not affected by treatments. Our results indicate that vegetation management and direct seeding had limited short-term and no measurable long-term benefits to the vegetation's structure, duck nesting densities, or duck nest survival, and upland habitat conditions showed little sustained improvement during later breeding seasons (years 2–4 post-treatment). Upland restoration efforts in agricultural landscapes may need more continued, multi-year habitat management to improve nesting conditions for waterfowl over the long-term.

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USGS2026

Quality of groundwater used for domestic supply in the western Central Valley, California—2023

More than 2 million Californians rely on groundwater from domestic wells for their drinking-water supply. This report summarizes a 2023 California Groundwater Ambient Monitoring and Assessment Priority Basin Project water-quality survey of 44 domestic and small-system drinking-water supply wells in the western Sacramento Valley (basin number 5-021) and San Joaquin Valley (basin number 5-022) groundwater basins in the Central Valley, California, where more than 88,000 residents are estimated to utilize privately owned, domestic wells. The study area includes the Corning, Colusa, Yolo, and Solano subbasins (subbasin numbers 5-021.51, 5-021.52, 5-021.67, and 5-021.66, respectively) of the Sacramento Valley groundwater basin, and the East Contra Costa, Tracy, Delta-Mendota, and Westside subbasins (subbasin numbers 5-022.19, 5-022.15, 5-022.07, and 5-022.09, respectively) of the San Joaquin Valley groundwater basin. The study was focused on groundwater resources used for domestic drinking-water supply, which are mostly drawn from shallower parts of the aquifer system rather than groundwater resources used for public drinking-water supply, which are typically drawn from deeper parts. This assessment characterized the quality of ambient groundwater used for domestic supply, rather than the quality of drinking water at a tap or faucet, which may be filtered or treated after extraction. To provide context, concentrations of constituents in groundwater were compared to Federal and State of California regulatory and non-regulatory benchmarks for drinking-water quality. Regulatory benchmarks were U.S. Environmental Protection Agency and State of California maximum contaminant levels (MCLs) for drinking water. Non-regulatory benchmarks were State of California secondary maximum contaminant levels (SMCLs) for managing aesthetic conditions, such as taste, odor, or color. A grid-based method was used to estimate the areal proportions of groundwater resources used for domestic drinking supply that have water-quality constituents present at high concentrations (greater than the benchmark), moderate concentrations (between one-half of the benchmark and the benchmark for inorganic constituents, or between one-tenth of the benchmark and the benchmark for organic constituents), and low concentrations (less than one-half or one-tenth of the benchmark for inorganic and organic constituents, respectively). This method provides statistically representative results at the study-area scale and permits comparisons to other California Groundwater Ambient Monitoring and Assessment Priority Basin Project study areas. In this study, inorganic constituents in groundwater were greater than regulatory benchmarks for public drinking-water quality in 30 percent of domestic groundwater resources. Inorganic constituents present at concentrations greater than MCLs for drinking water were hexavalent chromium, total chromium, and nitrate. Total dissolved solids, manganese, and iron were present at concentrations greater than their SMCL in 27 percent of domestic groundwater resources. 1,2,3-trichloropropane was present at concentrations greater than State of California MCLs for drinking water in 2.3 percent of domestic groundwater resources and was the only volatile organic compound detected at concentrations greater than a benchmark. Per-and polyfluoroalkyl substances were detected in 16 percent of domestic groundwater resources, and 2.3 percent had concentrations greater than U.S. Environmental Protection Agency MCLs. Total coliform bacteria and enterococci were detected in 9.1 and 2.3 percent of domestic groundwater resources, respectively. To understand groundwater quality in the study area, factors that affect groundwater quality were evaluated using results from statistical testing of associations between constituent concentrations and potential physical and chemical variables. Relevant factors include the oxidation-reduction conditions of groundwater, agricultural land use, and geologic sources of aquifer sediments. Manganese and iron concentrations were affected by oxidation-reduction state. Nitrate concentrations were affected by the interplay of agricultural practices and denitrification, where denitrification under anoxic redox conditions can mitigate some nitrate derived from fertilizer application. Ultramafic aquifer sediments in the western Central Valley provide a geogenic source for chromium and hexavalent chromium. Total dissolved solids primarily were derived from water-rock interactions with soils and aquifer materials, but agricultural practices may also contribute to these concentrations.

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USGS2026

An extensive and short-lived episode of mid-Holocene fayalite- bearing high-silica rhyolite eruptions at Mono Craters, California

Having last erupted ~ 700 years ago, the Mono Craters volcanic chain is an active system with a history of explosive and effusive high-silica rhyolite eruptions. Approximately ~ 30 lava domes and flows range from ~ 42 to ~ 0.7 ka, form a ~ 15 km curvilinear trend, and change mineralogy (biotite-, orthopyroxene-, or fayalite-bearing) and crystallinity through time. However, the eruptive chronology of this system is incompletely understood. We report new 238 U- 230 Th isochron ages for nine fayalite-bearing domes from paired zircon and allanite crystal surfaces that reveal a major shift in eruptive frequency and volume over the history of the chain, with extrusion of > 0.45 km 3 of high-silica rhyolite lava between 7.1 and 5.2 ka. This contrasts with older biotite- (~ 42–20 ka) and orthopyroxene-bearing (~ 12–9 ka) domes, each of which erupted smaller volumes over a more protracted period. Whole-rock compositions suggest these older domes tapped separate domains within a shared magmatic system because the former are higher in Sr and Ba whereas the latter are lower in SiO 2 , higher in Zr, and more enriched in light rare-earth elements. Titanomagnetite chemistry and zircon saturation temperatures also reflect changing magma compositions and conditions associated with these domes. Fayalite-bearing domes, in contrast, have uniform whole-rock and titanomagnetite compositions which support rapid extrusion of magma over an interval short enough to prevent Fe-Ti oxides from recording any changes in magmatic conditions. The youngest lavas were also produced in a short-lived episode ~ 700 years ago, showing that multivent, geologically brief eruptive episodes occur repeatedly at Mono Craters.

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USGS2026

Does wind disrupt overwintering monarch butterfly clusters? An observational study of western monarchs

Wind protection is a central focus of western monarch butterfly ( Danaus plexippus ) overwintering habitat conservation. The Wind Disruption Hypothesis guiding management decisions predicts that winds at or above 2 m/s disrupt clusters and that cluster abundance decreases as wind speed increases. At two California groves during the 2023–2024 overwintering season, we paired time-lapse estimates of visible cluster size with nearby measurements of maximum wind gust. Stronger gusts were not consistently followed by decreases over 30-min or next-day response windows. In the 30-min analysis, the wind association depended on approximate local temperature and whether visible butterflies were in direct sunlight. Stronger gusts were associated with declines under cool, sunny conditions and increases under warm, sunny conditions. No clear wind association was detected when no visible butterflies were in direct sunlight. The next-day analysis likewise indicated that the wind association varied with sun exposure. Nearby maximum gusts did not measure sustained exposure at butterfly positions, so this was not an exact test of the historical threshold. The results did not support the predicted consistent decline with increasing wind under the monitored conditions. Physiological responses to interacting wind, ambient temperature, and solar exposure offer a plausible hypothesis for future research.

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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.

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USGS2026

ETAS-positive: Extracting unbiased epidemic-type aftershock models from incomplete earthquake catalogs

Earthquake catalogs are inherently incomplete, and short-term fluctuations in catalog completeness can strongly bias estimates of seismicity parameters. Here, we extend the positive statistics framework recently introduced for estimating Gutenberg–Richter a and b values to the Epidemic-Type Aftershock Sequence (ETAS) model. The approach focuses on complete magnitude–time intervals defined by pairs of earthquakes in which the second event is larger than the first. Comprehensive synthetic tests demonstrate that the proposed ETAS + method retrieves nearly unbiased parameter estimates even from highly incomplete catalogs, whereas parameters obtained using classical estimation approaches are strongly biased. Application to Southern California reveals a similar trend, with the productivity scaling parameter α approaching the b value, consistent with self-similar earthquake triggering within estimation uncertainties. Owing to its robustness against catalog incompleteness and computational efficiency, the ETAS + method provides a powerful new tool for seismicity analysis and earthquake forecasting.

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USGS2026

High-resolution landscape-scale maps of nutrients, phytoplankton, and related water-quality constituents in Suisun Bay and the Sacramento–San Joaquin Delta, California, during 2018—Results from high-resolution underway surveys

We examined the abundance and distribution of nutrients and phytoplankton in the tidal aquatic environments of the Sacramento–San Joaquin Delta (Delta) and Suisun, Grizzly, and Honker Bays in California by completing three spatial surveys that used continuous underway high frequency (1 hertz) measurements and sampling onboard a high-speed boat. Surveys were conducted in May, July, and October 2018. Water was sampled continuously during surveys to simultaneously collect information about the concentration and spatial distribution of all major nutrient forms together with information about the major classes of phytoplankton and associated standard field measurements of water quality, such as dissolved oxygen, dissolved organic matter, pH, salinity, specific conductance, turbidity, and water temperature. The results show a greater than 50-fold variation in nutrient and phytoplankton concentrations across space and time, providing evidence of the dynamic environmental processes that shape the ways nutrients interact with and affect Delta aquatic habitats.

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USGS2026

The rising threat of lead: Trends in fatalities of California condors

Endangered species face threats that change over time, and understanding variation in the importance of threats is valuable for guiding species recovery. The reintroduced population of critically endangered California condors has faced a number of threats over the three decades since the species was first released back to the wild. We modeled interannual and interseasonal trends in the leading causes of death for wild condors. Our analysis showed strong evidence ( P = 0.971) that the estimated annual probability of death from lead toxicosis has increased since reintroduction started. This increase was most pronounced in the central California subpopulation. Adults were disproportionately affected by lead toxicosis, a trend that may be explained by increased exposure associated with age-related changes in foraging behavior that lead to decreased reliance on clean proffered food sources. Population-level mortality from trauma showed a temporary increase in 2012, and fire-related mortality was higher during the summer months. Pattens also varied across subpopulations, with the southern California subpopulation of condors showing distinct temporal peaks in deaths from trauma (in 2012) and predation (in 2010). Our analysis suggests that threats to condors have not been static over space and time. Managers can therefore use this information to adaptively manage and target mitigation efforts when and where they are the most effective.

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USGS2026

Cost-efficient filtration and replication strategies match or exceed detection sensitivity for marine eDNA diversity at an intertidal site under a standardized laboratory workflow

Optimizing environmental DNA (eDNA) metabarcoding to maximize species detection while minimizing costs and effort remains a challenge, particularly in high-throughput workflows. In the marine intertidal zone off Point Conception, California, we compared eDNA richness accumulation between filtration approaches that differed in filter type and downstream processing, field and laboratory replicates, and independent and pooled polymerase chain reaction (PCR) replicates. Ten 10-cm 2 capsule filters and 10 5-cm 2 syringe disc filters were processed using a standardized laboratory workflow for 12S ribosomal ribonucleic acid (rRNA) (marine vertebrates) and 18S rRNA (metazoans and phytoplankton) metabarcoding, with 10 independent PCR replicates per filter. Because capsules generated larger lysate volumes than discs, the fixed extraction input volume under the standardized workflow resulted in less lysate being processed. A follow-up study pooled 10 PCR replicates for 12S rRNA. When comparing individual PCR replicates, individual filters, or all filters aggregated, discs detected greater marine vertebrate richness than capsules. Probabilistic models indicated that varying effective volume alone could produce similar richness accumulation patterns to those observed, though other filter characteristics were unaccounted for. Minimal differences in richness accumulation were detected between filters for 18S rRNA, and modeling indicated that this was not explained by higher initial copies of 18S rRNA. Meanwhile, vertebrate richness accumulation was similar when adding PCR replicates from the same sample or independent field samples across the short, relatively homogenous intertidal transect. Pooling PCR replicates had no detectable difference on richness compared to sequencing PCR replicates independently: a single pooled PCR replicate detected the same vertebrate richness as the sum of 10 independent PCR replicates. These results show that, under the standardized workflow and conditions tested here, eDNA programs may reduce costs and effort without detectable loss of richness by using filtration approaches aligned with extraction input and pooling technical replicates.

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USGS2026

Efficient physics‐informed ground‐motion simulations with reduced‐order models: CyberShake implications and high‐resolution site terms for southern San Andreas fault earthquakes

Recent advances in Probabilistic Seismic Hazard Analysis (PSHA) leverage physics‐based ground‐motion simulations to estimate seismic hazard, such as the CyberShake project. However, computational costs quickly escalate when performing PSHA for numerous faults or sites and can become prohibitively expensive. To reduce computational demands, CyberShake uses reciprocity and interpolates physics‐informed corrections from simulations conducted at fewer locations, but the accuracy of these interpolations remains poorly quantified. To quantify the interpolation accuracy, we derive high‐resolution, frequency‐dependent site terms for southern California and compare them with interpolated site terms using the CyberShake approach. We accomplish this by performing a set of earthquake point‐source simulations distributed along the nonplanar fault geometry for the southern San Andreas fault (SSAF) extending from Bombay Beach to Lake Hughes. Using SeisSol, we simulate three minutes of viscoelastic seismic wave propagation for these sources and store the horizontal‐component Green’s functions for 480,000 sites. We then use a scientific machine learning approach based on interpolated proper orthogonal decomposition to construct an accurate reduced‐order model of the Green’s functions to efficiently predict effective amplitude spectra (EAS) for finite‐source rupture models of SSAF earthquakes. Using minimum curvature interpolation with tension, as used in CyberShake, we compare the interpolated site terms against our high‐resolution site terms. We identify local discrepancies with EAS differing by up to a factor of approximately three. Furthermore, we identify locations where unexpectedly high or low ground motions are missed when using the interpolated dataset for these earthquakes. We estimate that our approach may be used within CyberShake to reduce the time‐to‐solution by a factor of 336 for the entire earthquake rupture forecast. Our analysis of physics‐based site terms provides more insight into the seismic hazard due to SSAF ruptures and guides future developments by combining high‐performance computing and reduced‐order modeling techniques for PSHA.

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USGS2026

Methodology for quantitative spatial sensitivity analysis of volcanic geodetic networks

Introduction This report introduces a methodology for assessing the state of the U.S. Geological Survey Volcano Observatories’ geodetic monitoring networks that measure how volcanoes deform or change shape. This new method uses a model-based approach that considers the uniqueness of the instrument environments at each volcano. This report focuses on simplified volcanic sources, is independent of the shape or size of the volcano, or the network geometry, and thus highlights the strengths and potential vulnerabilities of each volcano’s geodetic network in an actionable visual format. This analysis can help observatories to make informed decisions about whether volcanoes have an adequate level of geodetic monitoring and indicate where improvements are needed.

Lassen Peak, Mount Shasta↗

USGS2026

Satellite embeddings for crop type classification: A comparative examination

Embedding datasets encode complex relationships among multiple sources of Earth observation data into a compact format. Here, we evaluated the utility of a 10-m global Satellite Embedding product (SE) for classifying crop types in central California for the year 2020. We compared the classification accuracy of a random forest model based exclusively on the SE layer to an existing random forest model with multiple imagery inputs. Our results showed the SE-based classification had higher agreement with the reference dataset (California Department of Water Resources crop map) than the classification based on Landsat and National Agricultural Imagery Program inputs (94.7% versus. 91.9% overall accuracy, respectively). The performance of individual crop types was consistent across models, ranging from high agreement for rice (98.4% versus 98% accuracy) to lower agreement for pasture, grain, and fallow/young perennial classes (< 65% accuracy in both models). The SE-based workflow used three times less cloud-based computational resources and represented substantial savings of predictor development time. Geospatial embedding products can aid classification efforts by reducing predictor development time and processing demands while maintaining classification accuracy.

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USGS2026

Evolution of arsenic speciation during thermal treatment simulating wildfire heating in arsenic-rich sediments

Understanding arsenic transformations during wildfires can help better constrain the environmental impacts of increased wildfire intensity, frequency, and burned area. Previous studies have monitored the evolution of metal(loid) speciation at specific time/temperature endpoints, hampering the comprehension of the dynamic transformations of metal(loid)s during wildfires. Here, a novel approach, namely in situ time-resolved X-ray absorption near edge structure (TR-XANES) spectroscopy, was used for the first time to monitor the heat-induced redox transformations of arsenic (As) in two As-rich sediments with different characteristics. No arsenic transformations were observed in either sediment at room temperature or when the sediments were heated to a maximum temperature of 400 ºC. When heated to a maximum temperature of 600 or 700 ºC, As underwent complex, dynamic, and partially reversible redox transformations, the extent of which varied with sediment properties, initial As speciation, and heating temperature and duration. In the case of sediments initially containing As(V) and a low sulfide/sulfate ratio, the As(V) was reduced to As(III) over a short period of time, followed by immediate reoxidation of As(III) to As(V). The extent of the transient As reduction increased with increasing maximum temperature. The final As speciation at the end of the heating experiment was not substantially different from that at the beginning of the experiment. In contrast, in sediments that were best described by a more complex combination of reference compounds (As(V) coprecipitated with or adsorbed on iron oxide, arseniosiderite, arsenopyrite) with a high sulfide/sulfate ratio, As(V) phases were reduced to As(III) and As(III) was further reduced to As(-I) (at 700 ºC, only), followed by delayed reoxidation of As(-I) to As(III) (at 700 ºC, only) and reoxidation of As(III) to As(V). Approximately 9% and 26% of all As remained as As(III) ( i.e., was not reoxidized to As(V)) at the end of the experiment when heated to a maximum temperature of 600 and 700 ºC, respectively, which is higher than the relative abundance of As(III) in the native sediment. These fire-induced As transformations can potentially enhance As mobilization to surface water and groundwater, posing risks to environmental and human health.

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USGS2026

Evaluation and synthesis of the Yolo Bypass fish monitoring program

The Yolo Bypass is the largest functional remnant floodplain of the Sacramento River, providing benefits to aquatic taxa of the San Francisco Bay and Sacramento–San Joaquin Delta (hereafter, Bay-Delta). Because of the Yolo Bypass’s vital role in flood control and its ecological effects, the California Department of Water Resources started the Yolo Bypass Fish Monitoring Program (YBFMP) to monitor the aquatic ecology of the floodplain. Here, we present a scientific evaluation of the monitoring program to assess the efficacy and efficiency of the program in meeting its objective of collecting biological data to understand the ecological role the Yolo Bypass plays in the larger Bay-Delta. We used a multivariate assessment of floodplain flow to classify flood events (no flood, intense, early, late) and water years (low, average, high). To assess efficacy, we used a null hypothesis approach to determine if the YBFMP could distinguish variability in measured constituents (water quality and nutrient concentrations; phytoplankton, zooplankton, drift invertebrates, and fish communities; and densities of Chinook salmon [ Oncorhynchus tshawytscha ], Sacramento splittail [ Pogonichthys macrolepidotus ], and prickly sculpin [ Cottus asper ]) across different flood regime classifications. To assess efficiency, we used a data subsampling approach to quantify the amount of data needed to reach similar conclusions to analyses that used the entire dataset. Regarding efficacy, we concluded that the YBFMP is generally effective at identifying variability across various spatial and temporal scales (including flood regimes). Regarding efficiency, we concluded that reduced sampling effort would likely result in similar conclusions, enabling program managers to identify sites or periods that do not provide data essential to meeting program objectives. Our evaluation of the YBFMP indicated where data variability might limit mechanistic inference (particularly for phytoplankton and zooplankton), thus indicating that a series of targeted studies may be a prerequisite for further analysis. This evaluation has also identified areas where existing sampling may not be providing additional informational value, allowing for reallocation of effort to address management concerns.

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