Many people ascribe a variety of values to public lands and waters, but some values are more difficult to assess and quantify than others. Public participatory geographic information systems (PPGIS) are tools that have been used to help quantify and map the public’s diverse values for a landscape. This work describes the first known Office of Management and Budget–approved use of PPGIS by a Department of the Interior bureau. The U.S. Geological Survey developed an internet-based application to aid in gathering PPGIS data, called Values Mapping for Planning in Regional Ecosystems (VaMPIRE). Further, this work describes the first pilot of the VaMPIRE application in coordination with the Bureau of Land Management to collect spatial data and other survey data regarding the public’s uses of and values for locations within Mojave Trails National Monument. We emailed the link to the VaMPIRE application to an interested party email list in 2024 with 207 valid emails and received 74 responses; we also received 47 responses from members of an off-roading social media group. Of the list of 16 value options, recreation was the most popular value for the monument, followed by wilderness and inspirational. Over 1,000 points were placed throughout the monument, indicating locations people use or value, with the locations spread throughout the entire monument. Additionally, most survey respondents stated their ability to receive benefits in locations they mapped would not change in response to a hypothetical scenario related to recreational facility development. This report describes exploratory results from the first use of the VaMPIRE tool in Mojave Trails National Monument and includes reflections on how the process went and considerations for future use of VaMPIRE.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255037","collaboration":"Prepared in cooperation with the Bureau of Land Management","programNote":"Land Management Research Program","usgsCitation":"Wilkins, E.J., Lindley, S.M., Rogers, K., Schuster, R., Hannon, M.T., Rowland, P.T., and Runnels, M.J., 2025, Using public participatory geographic information systems (PPGIS) to explore uses and values for Mojave Trails National Monument, California: U.S. Geological Survey Scientific Investigations Report 2025–5037, 27 p., https://doi.org/10.3133/sir20255037.","productDescription":"Report: vi, 27 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-168071","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":491391,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5037/sir20255037.xml"},{"id":491390,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5037/images"},{"id":491394,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255037/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5037"},{"id":491306,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1423FLS","text":"USGS data release","linkHelpText":"Values Mapping for Planning in Regional Ecosystems: Mojave Trails National Monument, California, 2024"},{"id":491303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5037/coverthb.jpg"},{"id":491304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5037/sir20255037.pdf","text":"Report","size":"5.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5037"}],"country":"United States","state":"California","otherGeospatial":"Mojave Trails National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.37203217608662,\n 35.235920982774275\n ],\n [\n -116.63385757611397,\n 35.235920982774275\n ],\n [\n -116.63385757611397,\n 34.05652997012804\n ],\n [\n -114.37203217608662,\n 34.05652997012804\n ],\n [\n -114.37203217608662,\n 35.235920982774275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Fort Collins Science Center
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Winter waves in the polar jet stream are associated with extreme cold outbreaks and can modulate longer-term winter temperature trends in the mid-latitudes. Recent research has highlighted a positive trend in jet stream waviness from 1990 to 2010, with a hypothesized connection to Arctic amplification of anthropogenic warming. However, an increase in jet stream waviness has also been hypothesized to contribute to the winter “warming hole” (WH) in eastern North America, a cooling phenomenon from 1958–1988, beginning several decades prior to the recent waviness trend. These potentially conflicting hypotheses highlight the uncertainty of long-term jet stream waviness variability prior to the satellite era (1979–present). Here we develop a new record of wintertime jet stream waviness spanning 1901–2023 based on self-organizing maps and nine different temperature and reanalysis data sets with the dual purpose of (a) understanding the historical variability of polar jet stream waviness in the eastern United States, and (b) quantifying the impact of jet stream waviness on WH-era surface temperatures. Our analysis reveals elevated jet stream waviness in the 1960s–1980s that surpassed modern waviness levels, and we find that jet stream waviness contributed to two-thirds of winter WH cooling beginning in 1958. These results are consistent with a strong connection between temperature trends in the eastern U.S. and jet stream troughing but indicate that additional mechanisms also contributed to the WH. Our analysis further highlights that recent increases in jet stream waviness are well within the range of early to mid-20th century variability, prior to the emergence of Arctic amplification.
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earthquake detection and visualization","docAbstract":"Detecting and cataloging seismic events are among the most fundamental tasks in seismology. Many standardized tools for these tasks exist, including the open‐source package repeating earthquake detector in Python (REDPy). REDPy generates an organized catalog of seismic events from continuous waveform data, in which events are automatically separated into groups (“families”) by their waveform similarity through cross‐correlation. REDPy also automatically generates various outputs that allow a user to visualize important trends in the catalog, which may be used in real time or in retrospective analyses to allow rapid identification of interesting features. The code was designed for near‐real‐time volcano monitoring but is applicable across a broad range of use cases in seismology and seismoacoustics. In this article, the utility and performance of REDPy are demonstrated on two highly seismogenic volcanic eruption sequences: the onset of the dome‐building eruption of Mount St. Helens, Washington, from 2004 to 2005, and the entirety of the summit caldera collapse sequence of Kīlauea, Hawai‘i, in 2018. This article is meant to be a companion to the documentation of the code; in addition to detailing the basic required inputs, script functionality, and resulting outputs, the reasonings behind several important design decisions are also discussed.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240373","usgsCitation":"Hotovec-Ellis, A.J., 2025, REDPy: A Python tool for automated repeating earthquake detection and visualization: Seismological Research Letters, v. 96, no. 6, p. 3849-3865, https://doi.org/10.1785/0220240373.","productDescription":"17 p.","startPage":"3849","endPage":"3865","ipdsId":"IP-178723","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953024,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70268396,"text":"sir20255042 - 2025 - Characterization of the hydrogeologic framework, groundwater-flow system, geochemistry, and aquifer hydraulic properties of the shallow groundwater system in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site near Bristow, Oklahoma, 2022","interactions":[],"lastModifiedDate":"2026-01-26T19:22:45.974234","indexId":"sir20255042","displayToPublicDate":"2025-06-26T09:28:11","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5042","displayTitle":"Characterization of the Hydrogeologic Framework, Groundwater-Flow System, Geochemistry, and Aquifer Hydraulic Properties of the Shallow Groundwater System in the Wilcox and Lorraine Process Areas of the Wilcox Oil Company Superfund Site Near Bristow, Oklahoma, 2022","title":"Characterization of the hydrogeologic framework, groundwater-flow system, geochemistry, and aquifer hydraulic properties of the shallow groundwater system in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site near Bristow, Oklahoma, 2022","docAbstract":"The Wilcox Oil Company Superfund site (hereinafter referred to as “the site”) was formerly an oil refinery northeast of Bristow in Creek County, Oklahoma. Historical refinery operations contaminated the soil, surface water, streambed sediments, alluvium, and groundwater with refined and stored products at the site. The Wilcox and Lorraine process areas are where the highest concentrations of volatile organic compounds, semivolatile organic compounds, polycyclic aromatic hydrocarbons, and trace elements (including metals) (collectively hereinafter referred to as “contaminants”) were measured in a local shallow perched groundwater system within the alluvium (hereinafter referred to as the “alluvial aquifer”) at the site during previous site assessments. In order to understand the potential migration of contaminants through the soil and groundwater in these areas, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, investigated aquifer characteristics of the alluvial aquifer in the Wilcox and Lorraine process areas of the site to (1) document hydraulic conductivity and other aquifer characteristics of the alluvial aquifer that govern contaminant fate and transport, (2) describe the geospatial extent and concentration of the contaminants in the alluvial aquifer in the Wilcox and Lorraine process areas, and (3) describe the geochemical controls pertaining to oxidation and reduction governing the fate and transport and the degradation potential of contaminants in the groundwater. Various data were compiled and collected to evaluate the aquifer characteristics at the site including the hydrogeologic framework, groundwater-flow system, geochemistry, and hydraulic properties of the aquifer. A total of 20 new (2022) groundwater monitoring wells were installed at the site to collect data used to supplement groundwater-level altitude and groundwater-quality data collected from older, existing groundwater monitoring wells and piezometers. Data compiled and collected for the study were used to evaluate the characteristics of the alluvial aquifer at the site. These aquifer characteristics are defined by the hydrogeologic framework, groundwater-flow system, geochemistry, and hydraulic properties of the aquifer.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"As the northern high-latitude permafrost zone experiences accelerated warming, permafrost has become vulnerable to widespread thaw. Simultaneously, wildfire activity across northern boreal forest and Arctic/subarctic tundra regions impacts permafrost stability through the combustion of insulating organic matter, vegetation, and post-fire changes in albedo. Efforts to synthesis the impacts of wildfire on permafrost are limited and are typically reliant on antecedent pre-fire conditions. To address this, we created the FireALT dataset by soliciting data contributions that included thaw depth measurements, site conditions, and fire event details with paired measurements at environmentally comparable burned and unburned sites. The solicitation resulted in 52 466 thaw depth measurements from 18 contributors across North America and Russia. Because thaw depths were taken at various times throughout the thawing season, we also estimated end-of-season active layer thickness (ALT) for each measurement using a modified version of the Stefan equation. Here, we describe our methods for collecting and quality-checking the data, estimating ALT, the data structure, strengths and limitations, and future research opportunities. The final dataset includes 48 669 ALT estimates with 32 attributes across 9446 plots and 157 burned–unburned pairs spanning Canada, Russia, and the United States. The data span fire events from 1900 to 2022 with measurements collected from 2001 to 2023. The time since fire ranges from 0 to 114 years. The FireALT dataset addresses a key challenge: the ability to assess impacts of wildfire on ALT when measurements are taken at various times throughout the thaw season depending on the time of field campaigns (typically June through August) by estimating ALT at the end-of-season maximum. This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. The FireALT dataset is available through the Arctic Data Center (https://doi.org/10.18739/A2RN3092P, Talucci et al., 2024).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-17-2887-2025","usgsCitation":"Talucci, A., Loranty, M., Holloway, J., Rogers, B.M., Alexander, H.D., Baillargeon, N., Baltzer, J.L., Berner, L., Breen, A., Brodt, L., Buma, B., Dean, J., Delcourt, C., Diaz, L., Dieleman, C., Douglas, T.A., Frost, G., Gaglioti, B., Hewitt, R.E., Hollingsworth, T., Jorenson, M., Lara, M.J., Loehman, R.A., Mack, M.C., Manies, K.L., Minions, C., Natali, S., O’Donnell, J.A., Olefeldt, D., Paulson, A., Rocha, A., Saperstein, L., Shestakova, T., Sistla, S., Sizov, O., Soromotin, A., Turetksy, M., Veraverbeke, S., and Walvoord, M.A., 2025, Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes: Earth System Science Data, no. 17, p. 2887-2909, https://doi.org/10.5194/essd-17-2887-2025.","productDescription":"23 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geophysical lunar field work enabled by Artemis Base Camp","docAbstract":"We report on six Findings related to the benefit of Artemis Base Camp (ABC) to lunar geoscience (Figure 1). These Findings are on the topics of 1) Repeat field site visits; 2) Geological experiments; 3) Satellite ABC campus(es); 4) Advanced lab equipment; 5) Frequent and resource-intensive EVAs; and 6) Geoscience STEM engagement. Lastly, we consider certain issues and caveats meriting further study in any base camp architecture.","language":"English","publisher":"Lunar Exploration Assessment Group","usgsCitation":"Runyon, K., Buxner, S., Crane, K., Crow, C., Douglass, A., Edgar, L.A., Eppler, D., Hurtado, J., Rubins, K., and Wagner, M., 2025, On the importance of geological and geophysical lunar field work enabled by Artemis Base Camp, 7 p.","productDescription":"7 p.","ipdsId":"IP-168424","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":492369,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://workforce.psi.edu/wp-content/uploads/2025/06/Runyon-LEAG-ABC-White-Paper-2024.08.22.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":491519,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://workforce.psi.edu/","linkFileType":{"id":5,"text":"html"}},{"id":491522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Artemis Base Camp, Moon","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runyon, K.","contributorId":357467,"corporation":false,"usgs":false,"family":"Runyon","given":"K.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":941520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buxner, S.","contributorId":357468,"corporation":false,"usgs":false,"family":"Buxner","given":"S.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":941521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, K.","contributorId":357469,"corporation":false,"usgs":false,"family":"Crane","given":"K.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":941522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crow, C.","contributorId":357470,"corporation":false,"usgs":false,"family":"Crow","given":"C.","affiliations":[{"id":28140,"text":"UC Boulder","active":true,"usgs":false}],"preferred":false,"id":941523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglass, A.","contributorId":238005,"corporation":false,"usgs":false,"family":"Douglass","given":"A.","email":"","affiliations":[{"id":47678,"text":"Geochemical Testing Laboratory","active":true,"usgs":false}],"preferred":false,"id":941524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":941525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eppler, D.","contributorId":357471,"corporation":false,"usgs":false,"family":"Eppler","given":"D.","affiliations":[{"id":85425,"text":"The Aerospace Corporation","active":true,"usgs":false}],"preferred":false,"id":941526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hurtado, J.M.","contributorId":357472,"corporation":false,"usgs":false,"family":"Hurtado","given":"J.M.","affiliations":[{"id":64863,"text":"University of Texas at El Paso","active":true,"usgs":false}],"preferred":false,"id":941527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rubins, K.","contributorId":357473,"corporation":false,"usgs":false,"family":"Rubins","given":"K.","affiliations":[{"id":27209,"text":"NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":941528,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, M.","contributorId":357474,"corporation":false,"usgs":false,"family":"Wagner","given":"M.","affiliations":[{"id":85426,"text":"ARES Learning","active":true,"usgs":false}],"preferred":false,"id":941529,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70268909,"text":"70268909 - 2025 - Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought","interactions":[],"lastModifiedDate":"2025-09-09T14:42:06.990995","indexId":"70268909","displayToPublicDate":"2025-06-26T08:33:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought","docAbstract":"Increasing fragmentation from constructed barriers, increased water use, and climate change limits the resiliency of stream fish metapopulations by reducing colonization. Management actions such as stocking or translocating fish may help contribute to the resilience of isolated habitats and increase redundancy of populations in intermittent stream networks. Our objective was to determine whether translocating fish into prairie headwater refuges could reestablish or supplement isolated populations.
We examined apparent survival and probability of detection of four native, small-bodied fishes that were translocated in 2022 and 2023 to prairie headwater refuges that were affected by a severe drought and experienced slow recovery of their fish assemblages. All the fish were marked with passive integrated transponder tags, allowing us to use a mark–recapture framework to track the fate of these fish.
Apparent survival was predicted by an interaction between time and translocation site, indicating an important consideration of environmental factors. Approximately one-quarter of the fish remained at site A through the summer of both years, whereas estimates were near zero at site B in both years and mixed across years at site C. The decreases in apparent survival probabilities following flow events suggest that fish may be emigrating during these periods of reconnection. During the lower flow year, more fish remained at the headwater sites and young-of-year fish were captured during long-term sampling, suggesting that the translocated fish reproduced.
The success of translocation projects will depend on a variety of factors, including management goals, habitat, and hydrology, but the initially high survival reported in this study is encouraging. Difficulties with examining the movement of small fish during hydrologic events limited our conclusions about the relative contributions of mortality and emigration to apparent survival estimates. Despite low yearly apparent survival, we found evidence of reproduction from translocated fish, suggesting that the reestablishment of a viable population is possible.
The increasing use of plastic additives, particularly bisphenols (BPs), has raised significant concerns about their potential risks to human health, especially during critical developmental stages. In this study, we developed a novel high-throughput toxicity screening platform using zebrafish (Danio rerio) to identify and prioritize chemicals with cardiotoxic potential, which is based on multidimensional exposure pathways ranging from environmental to human levels. The platform quantitatively assesses heart rate changes based on multilevel exposure pathways (environmental, ecological, and human), effectively prioritizing the most relevant cardiotoxic compounds with potential health risks. Using this platform, we identified bisphenol P (BPP), a widely used substitute for bisphenol A, as a potent cardiotoxic compound. BPP exposure significantly inhibited heart development and function in zebrafish, inducing abnormal heart morphology, reduced heart rate, cardiac output, and hemodynamic disturbances. Additionally, NF-κB signaling pathway analysis, including morpholino knock-down and inhibitor experiments, confirmed that BPP mediates cardiac toxicity by inducing cardiomyocyte apoptosis. Our findings underscore the toxicity that BP substitutes can have, while highlighting the potential of this multidimensional screening platform in evaluating cardiovascular toxicity and guiding future toxicological assessments during critical developmental windows.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c00573","usgsCitation":"Wang, J., Magnuson, J.T., Feng, Y., Zhao, W., Gao, C., Zheng, C., and Qiu, W., 2025, High-throughput screening identifies bisphenol P as a potent cardiotoxin, inducing cardiotoxicity through apoptosis and NF-κB Pathway: Environmental Science & Technology, v. 59, no. 29, p. 14870-14880, https://doi.org/10.1021/acs.est.5c00573.","productDescription":"11 p.","startPage":"14870","endPage":"14880","ipdsId":"IP-173827","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":491803,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"29","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jiazhen","contributorId":329836,"corporation":false,"usgs":false,"family":"Wang","given":"Jiazhen","email":"","affiliations":[{"id":78727,"text":"Southern University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":941885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":941886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, Yanqiu","contributorId":357594,"corporation":false,"usgs":false,"family":"Feng","given":"Yanqiu","affiliations":[{"id":85467,"text":"Eastern Institute of Technology, China","active":true,"usgs":false}],"preferred":false,"id":941887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Wenjing","contributorId":357595,"corporation":false,"usgs":false,"family":"Zhao","given":"Wenjing","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":941888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, Chuanzi","contributorId":357596,"corporation":false,"usgs":false,"family":"Gao","given":"Chuanzi","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":941889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":941890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":941891,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268477,"text":"70268477 - 2025 - Cascading land surface hazards as a nexus in the Earth system","interactions":[],"lastModifiedDate":"2025-06-27T15:23:23.423631","indexId":"70268477","displayToPublicDate":"2025-06-26T08:14:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Cascading land surface hazards as a nexus in the Earth system","docAbstract":"Earth’s surface is sculpted by numerous processes that move sediment, ranging from gradual and benign to abrupt and catastrophic. Although infrequent, high-magnitude sediment mobilization events can be hazardous to people and infrastructure, leaving topographic imprints on the landscape and remarkable narratives in the historical record. Hazardous events such as fires, storms, and earthquakes accelerate erosion and sediment transport, increasing landscape sensitivity to subsequent perturbations, thus forming a cascading hazard. Although the redistribution of sediment across Earth’s landscape can result in higher risks to vulnerable populations, cascading processes are commonly unaccounted for in hazard assessments. Cascading hazards can occur almost immediately after triggering events, such as coseismic landslides, or over months, years, or even decades after an initial perturbation, such as debris flows after wildfires or flooding in channels alluviated by volcanic debris. Sediment cascades span Earth’s surface, from mountaintops to river valleys, where erosion, deposition, and aggradation can lead to a myriad of hazardous processes, including decreased river conveyance capacity, which increases the likelihood of downstream flooding. An improved understanding of the magnitude, frequency, and persistence of cascading hazards is critical given the rapid changes in the frequency and severity of storms, fires, sea-level change, and cryospheric melting, as well as the expansion of high-population-density urban footprints in regions susceptible to solid Earth hazards. Understanding the full consequences and underlying physics of Earth’s cascading land surface hazards can help minimize future human and economic losses.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.adp9559","usgsCitation":"Yanites, B.J., Clark, M., Roering, J., West, A.J., Zekkos, D., Baldwin, J., Cerovski-Darriau, C., Gallen, S.F., Horton, D., Kirby, E., Leshchinksy, B., Mason, H., Moon, S., Barnhart, K.R., Booth, A.M., Czuba, J.A., McCoy, S., McGuire, L.A., Pfeiffer, A.M., and Pierce, J.L., 2025, Cascading land surface hazards as a nexus in the Earth system: Science, v. 388, no. 6754, eadp9559, 14 p., https://doi.org/10.1126/science.adp9559.","productDescription":"eadp9559, 14 p.","ipdsId":"IP-175277","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":491531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.93431730228826,\n 35.75003744829698\n ],\n [\n -121.93431730228826,\n 34.181497359818295\n ],\n [\n -117.82269382475025,\n 34.181497359818295\n ],\n [\n -117.82269382475025,\n 35.75003744829698\n ],\n [\n -121.93431730228826,\n 35.75003744829698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"388","issue":"6754","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yanites, Brian J.","contributorId":28792,"corporation":false,"usgs":false,"family":"Yanites","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":941459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin 0000-0002-6141-8422","orcid":"https://orcid.org/0000-0002-6141-8422","contributorId":315585,"corporation":false,"usgs":false,"family":"Clark","given":"Marin","email":"","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":941460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roering, Joshua J.","contributorId":194297,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua J.","affiliations":[],"preferred":false,"id":941461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, A. 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Benjamin","affiliations":[{"id":84912,"text":"Department of Geological Sciences and Engineering, MS 172 College of Science University of Nevada, Reno NV, USA","active":true,"usgs":false}],"preferred":false,"id":941470,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":941471,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":941472,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Booth, Adam M. 0000-0002-7339-0594","orcid":"https://orcid.org/0000-0002-7339-0594","contributorId":241907,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":941473,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Czuba, Jonathan A. 0000-0002-9485-2604","orcid":"https://orcid.org/0000-0002-9485-2604","contributorId":301942,"corporation":false,"usgs":false,"family":"Czuba","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":941474,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":941475,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":941476,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pfeiffer, Allison M. 0000-0002-3974-132X","orcid":"https://orcid.org/0000-0002-3974-132X","contributorId":273227,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":941477,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pierce, Jennifer L.","contributorId":190214,"corporation":false,"usgs":false,"family":"Pierce","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":941478,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70270342,"text":"70270342 - 2025 - Trait-based selection of seeds ingested and dispersed by North American waterfowl","interactions":[],"lastModifiedDate":"2025-08-15T14:50:18.399824","indexId":"70270342","displayToPublicDate":"2025-06-26T07:44:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10760,"text":"Plants","active":true,"publicationSubtype":{"id":10}},"title":"Trait-based selection of seeds ingested and dispersed by North American waterfowl","docAbstract":"There are few studies on the extent to which waterfowl select plant food compared with what is available in wetland ecosystems. We used a new dataset on the presence of seeds in the alimentary canal or feces to identify flowering plant species whose seeds are ingested by North American ducks or geese. These data are a proxy for dispersal interactions because an important fraction of ingested seeds survives gut passage and is dispersed by endozoochory. We compared the plant traits of species whose seeds were ingested with those of species on the U.S. Department of Agriculture National Wetland Plants List (NWPL). Using a global dataset on plant form and function and chi-squared tests, we compared four categorical traits (moisture requirements, growth form, plant height, and seed mass) between species whose seeds are ingested by North American ducks and geese with the NWPL. Our analyses identified significant differences between the trait distributions of plants whose seeds were ingested by waterfowl guilds and those of the NWPL. Geese and ducks (except whistling ducks) ingested more aquatic and semiaquatic plant species than expected from the NWPL. All guilds except sea ducks ingested more herbaceous graminoids and fewer shrubs or trees than expected. Diving ducks interacted with fewer of the taller plants (>5 m) than expected, but otherwise plant height distributions did not differ from those expected. All waterfowl guilds ingested more species of intermediate seed size (1–10 mg) and fewer species of the smallest (<0.1 mg) or largest (>100 mg) size categories than expected. These results help to explain the role of the long-distance dispersal of seeds by migratory waterfowl in plant biogeography and how plant distributions are likely to respond to global change.
","language":"English","publisher":"MDPI","doi":"10.3390/plants14131964","usgsCitation":"Almeida, B.A., Costea, M., Silva, G.G., Maltchik, L., De La Cruz, S.E., Takekawa, J.Y., and Green, A.J., 2025, Trait-based selection of seeds ingested and dispersed by North American waterfowl: Plants, v. 14, no. 13, 1964, 12 p., https://doi.org/10.3390/plants14131964.","productDescription":"1964, 12 p.","ipdsId":"IP-180162","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/plants14131964","text":"Publisher Index Page"},{"id":494211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.98935564630023,\n 66.79316322863721\n ],\n [\n -104.80966943364379,\n 10.699740032054962\n ],\n [\n -77.12368693753503,\n 23.768509613408824\n ],\n [\n -33.98703454355167,\n 66.79316322863721\n ],\n [\n -148.98935564630023,\n 66.79316322863721\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"13","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Almeida, Bia A.","contributorId":359722,"corporation":false,"usgs":false,"family":"Almeida","given":"Bia","middleInitial":"A.","affiliations":[{"id":85907,"text":"Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Cientifícas (CSIC)","active":true,"usgs":false}],"preferred":false,"id":946145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costea, Mihai","contributorId":169521,"corporation":false,"usgs":false,"family":"Costea","given":"Mihai","email":"","affiliations":[{"id":25551,"text":"Dep't of Biology, Wilfrid Laurier U, Waterloo, Ontario","active":true,"usgs":false}],"preferred":false,"id":946146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silva, Giliandro G.","contributorId":359723,"corporation":false,"usgs":false,"family":"Silva","given":"Giliandro","middleInitial":"G.","affiliations":[{"id":85908,"text":"Federal University of Rio Grande","active":true,"usgs":false}],"preferred":false,"id":946147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maltchik, Leonardo","contributorId":347171,"corporation":false,"usgs":false,"family":"Maltchik","given":"Leonardo","affiliations":[{"id":83092,"text":"Programa de Pós-Graduação em Biologia de Ambientes Aquáticos Continentais, Universidade Federal do Rio Grande (FURG), Rio Grande, RS, Brazil","active":true,"usgs":false}],"preferred":false,"id":946148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, John Y.","contributorId":359724,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","middleInitial":"Y.","affiliations":[{"id":36688,"text":"Suisun Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":946150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Green, Andy J.","contributorId":359725,"corporation":false,"usgs":false,"family":"Green","given":"Andy","middleInitial":"J.","affiliations":[{"id":85907,"text":"Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Cientifícas (CSIC)","active":true,"usgs":false}],"preferred":false,"id":946151,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268271,"text":"sir20255043 - 2025 - Hydrogeology, water budget, and simulated groundwater availability in the Salt Fork Arkansas River and Chikaskia River alluvial aquifers, northern Oklahoma, 1980–2020","interactions":[],"lastModifiedDate":"2026-01-26T19:24:17.680372","indexId":"sir20255043","displayToPublicDate":"2025-06-25T12:32:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5043","displayTitle":"Hydrogeology, Water Budget, and Simulated Groundwater Availability in the Salt Fork Arkansas River and Chikaskia River Alluvial Aquifers, Northern Oklahoma, 1980–2020","title":"Hydrogeology, water budget, and simulated groundwater availability in the Salt Fork Arkansas River and Chikaskia River alluvial aquifers, northern Oklahoma, 1980–2020","docAbstract":"The 1973 Oklahoma Groundwater Law (Oklahoma Statute §82–1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s aquifers to determine the maximum annual yield for each groundwater basin. The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, conducted an updated hydrologic investigation of the Salt Fork Arkansas River and Chikaskia River alluvial aquifers in northern Oklahoma for the study period spanning 1980–2020 and evaluated the simulated effects of potential groundwater withdrawals on groundwater flow and availability in the Salt Fork Arkansas River alluvial aquifer. A hydrogeologic framework and conceptual model were developed to guide the development of a numerical model.
Three groundwater-availability scenarios were evaluated by using the calibrated numerical model, which was focused on the Salt Fork Arkansas River alluvial aquifer. These scenarios were used to (1) estimate equal-proportionate-share groundwater withdrawal rates, (2) quantify the potential effects of projected well withdrawals on groundwater storage over a 50-year period, and (3) simulate the potential effects of a hypothetical 10-year drought. The 20-, 40-, and 50-year equal-proportionate-share groundwater withdrawal rates for the Salt Fork Arkansas River alluvial aquifer under normal recharge conditions were about 0.63, 0.58, and 0.57 acre-foot per acre per year, respectively. Projected 50-year groundwater withdrawal scenarios were used to simulate the effects of modified well withdrawal rates. Because well withdrawals were less than 2 percent of the calibrated numerical-model water budget, changes to the well groundwater withdrawal rates had little effect on simulated Salt Fork Arkansas River base flows and groundwater storage in the Salt Fork Arkansas River alluvial aquifer. A hypothetical 10-year drought scenario was used to simulate the potential effects of a prolonged period of reduced recharge on groundwater storage. Groundwater storage at the end of the hypothetical drought period was 14.5 percent less than the groundwater storage of the calibrated numerical model without the simulated drought.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 4,098 million barrels of oil and 13,268 billion cubic feet of gas in the North Cuba area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253029","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources in the North Cuba area, 2024: U.S. Geological Survey Fact Sheet 2025–3029, 4 p., https://doi.org/10.3133/fs20253029.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169197","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":491381,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253029/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3029"},{"id":491283,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3029/fs20253029.xml"},{"id":491282,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3029/images"},{"id":491032,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3029/fs20253029_fixed.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3029"},{"id":491031,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3029/coverthb3.jpg"},{"id":491033,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14BFJJC","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—North Cuba Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"country":"Cuba","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.89661401800267,\n 24.36915429159879\n ],\n [\n -86.89661401800267,\n 21.045239070093857\n ],\n [\n -76.47167898192627,\n 21.045239070093857\n ],\n [\n -76.47167898192627,\n 24.36915429159879\n ],\n [\n -86.89661401800267,\n 24.36915429159879\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The Grand Canyon River Alert System (GCRAS) provides government-issued emergency alerts to wilderness recreationalists in the Grand Canyon, who are often outside the bounds of cellular signal reception. GCRAS is a collaboration between the U.S. Geological Survey (Grand Canyon Monitoring and Research Center), National Weather Service, Coconino County Emergency Management, and National Park Service. Technological advances in satellite communications have improved satellite signal availability in remote areas and increased the reliability of satellite communications using personal devices such as commercially available satellite messaging devices. These advancements have presented an opportunity to create a novel emergency alert system designed primarily for backcountry visitors to provide improved communications for periods of increased risk and potentially dangerous situations in the backcountry. GCRAS is designed specifically for the distinctive needs of satellite messaging devices and features reduced character count messages, short-code signup capability, and the ability to unsubscribe at any time. After a positive test of the system in March 2024, the system went live to the public and has been used more than two dozen times in 2024 to inform boaters and hikers of hazards (such as debris flows and flash floods) in the Grand Canyon. Satellite signal availability and device response time varies based on location and service provider, but initial testing showed messages arriving within 2–10 minutes. Although GCRAS was developed specifically for the Grand Canyon, the GCRAS framework could be applied to other wilderness areas. It can be used by emergency management authorities, land-management agencies, search and rescue units, and those concerned with public safety to help increase communication with people visiting or living in areas that are outside the signal of more traditional emergency-notification methods, such as cellular, wireless emergency alerts, and sirens.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251027","usgsCitation":"Thomas, J.E., Gushue, T.M., Byerley, E., and Grams, P., 2025, Grand Canyon River Alert System—Implementing an emergency alert system for wilderness recreation: U.S. Geological Survey Open-File Report 2025–1027, 9 p., https://doi.org/10.3133/ofr20251027.","productDescription":"vi, 9 p.","onlineOnly":"Y","ipdsId":"IP-166852","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491300,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1027/images"},{"id":491297,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1027/coverthb.jpg"},{"id":491301,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1027/ofr20251027.XML"},{"id":491299,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251027/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1027"},{"id":491298,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1027/ofr20251027.pdf","text":"Report","size":"24.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1027"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.05083740896649,\n 36.823773492081415\n ],\n [\n -114.05083740896649,\n 35.58732870070932\n ],\n [\n -111.53233878502289,\n 35.58732870070932\n ],\n [\n -111.53233878502289,\n 36.823773492081415\n ],\n [\n -114.05083740896649,\n 36.823773492081415\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Limitations of traditional insect sampling methods have motivated the development and optimisation of new non-lethal methods capable of quantifying diverse arthropod communities. Environmental DNA (eDNA) metabarcoding using arthropod-specific primers has recently been investigated as a novel way to characterise arthropod communities from the DNA they deposit on the surface of plants. This sampling method has had demonstrated success, but pollinators—especially bees—are oddly underrepresented in these studies. To evaluate this inconsistency, we investigated the limitations of eDNA metabarcoding for bees and other pollinators. We compared pollinator diversity derived from eDNA extracted from flowers and DNA extracted from pulverised bulk samples of insects collected from vane traps deployed at the same sites using three metabarcoding primers, two of which target arthropods generally (COI-Jusino and 16S-Marquina) and one that targets bumblebees (Bombus spp., COI-Milam). Across methods, we detected 77 insect families from 9 orders. The COI-Jusino marker amplified the highest taxonomic diversity compared to 16S-Marquina and COI-Milam. More amplicon sequence variants (ASVs) were recovered from vane traps (blue: 1357, yellow: 1542) than flowers (245), but only 23% of families and 13% of genera were shared among methods, indicating that flowers and blue and yellow vane traps may each sample different parts of the available arthropod community. Of 29 flower samples with known bee visitations, only 10 samples had bee detections from eDNA, and incomplete reference databases hindered assignment to species. Although our study provides additional evidence for the usefulness of eDNA metabarcoding for characterising arthropod communities, significant challenges remain when using eDNA metabarcoding methods to identify and quantify pollinator communities, especially bees.
","language":"English","doi":"10.1111/mec.70003","usgsCitation":"Jones, K., Pilliod, D.S., and Aunins, A.W., 2025, Metabarcoding analysis of arthropod pollinator diversity: A methodological comparison of eDNA derived from flowers and DNA derived from bulk samples of insects: Molecular Ecology, v. 34, no. 14, e70003, 17 p., https://doi.org/10.1111/mec.70003.","productDescription":"e70003, 17 p.","ipdsId":"IP-175536","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70003","text":"Publisher Index Page"},{"id":492417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"14","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Kara Suzanne 0000-0002-8168-0815","orcid":"https://orcid.org/0000-0002-8168-0815","contributorId":331477,"corporation":false,"usgs":true,"family":"Jones","given":"Kara Suzanne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":943285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":943286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":943287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274687,"text":"70274687 - 2025 - Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation","interactions":[],"lastModifiedDate":"2026-04-06T14:26:32.391134","indexId":"70274687","displayToPublicDate":"2025-06-25T09:20:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation","docAbstract":"Mangroves not only provide ecosystem and cultural services but also contribute to the mitigation of global warming. Mangrove dynamics and their environmental responses as re-constructed from the past can inform current mangrove conservation and restoration. However, our understanding of mangrove dynamics over the past century and the impact of human activities on these ecosystems remains limited. Using the quantified mangrove-derived organic carbon (MOC) contributions of seven sediment cores, we reconstructed the historical mangrove dynamics in Yingluo Bay and the Maowei Sea in tropical China dating back to 1900. The results indicated that the natural undisturbed mangroves in Yingluo Bay flourished in response to rising temperatures. In contrast, the significantly human-disturbed mangroves in Maowei Sea experienced a marked decline. Although both areas share similar natural conditions, intense anthropogenic disturbance reversed the natural potential for mangrove growth in the Maowei Sea. To explore the global prevalence of this phenomenon, we compiled data on mangrove pollen, δ13Corg, MOC, and mangrove area change from over 40 sites/regions worldwide, and re-constructed the natural and human-affected mangrove dynamics over the past century. Our findings indicated that, owing to the globally rising temperatures, natural undisturbed mangroves have gradually expanded as progressively more healthy forests, while human-disturbed mangroves exhibited three patterns: (1) continuous degradation, (2) flourishing-degradation, and (3) degradation-regeneration. Anthropogenic activities, such as seawall construction, aquaculture activity, agricultural expansion, logging, and urbanization have significantly reversed the natural health of mangroves such that any conservation and restoration strategy used for mangroves globally could inherently consider anthropogenic factors along with natural environmental change for better outcomes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2025.104950","usgsCitation":"Zhang, Y., Zhao, G., Krauss, K., Pan, L., Xu, Y., and Meng, X., 2025, Anthropogenic activities have greatly altered mangroves over the last hundred years: Global and Planetary Change, v. 253, 104950, 17 p., https://doi.org/10.1016/j.gloplacha.2025.104950.","productDescription":"104950, 17 p.","ipdsId":"IP-172933","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Yao","contributorId":358653,"corporation":false,"usgs":false,"family":"Zhang","given":"Yao","affiliations":[{"id":78354,"text":"China Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Guangming","contributorId":173535,"corporation":false,"usgs":false,"family":"Zhao","given":"Guangming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":944018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":223022,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":944019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pan, Lianghao","contributorId":358641,"corporation":false,"usgs":false,"family":"Pan","given":"Lianghao","affiliations":[{"id":85663,"text":"Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove Research Center, Guangxi Academy of Marine Sciences, Beihai, China","active":true,"usgs":false}],"preferred":false,"id":944020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Yuanqin","contributorId":358642,"corporation":false,"usgs":false,"family":"Xu","given":"Yuanqin","affiliations":[{"id":85666,"text":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":944021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meng, Xianwei","contributorId":358643,"corporation":false,"usgs":false,"family":"Meng","given":"Xianwei","affiliations":[{"id":85666,"text":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":944022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268478,"text":"70268478 - 2025 - Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024)","interactions":[],"lastModifiedDate":"2025-06-27T14:01:50.800891","indexId":"70268478","displayToPublicDate":"2025-06-25T08:57:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024)","docAbstract":"Over the period 2021–2024, glaciers in Western Canada and the conterminous US (WCAN-US), and Switzerland respectively lost mass at rates of 22.2 ± 9.0 and 1.5 ± 0.3 Gt yr−1 representing a twofold increase in mass loss compared to the period 2010–2020. Since 2020, total ice volume was depleted by 12% (WCAN-US) and 13% (Switzerland). Meteorological conditions that favored high rates of mass loss included low winter snow accumulation, early-season heat waves, and prolonged warm, dry conditions. High transient snow lines, and impurity loading due to wildfires (WCAN-US) or Saharan dust (Switzerland) darkened glaciers and thereby increased mass loss via greater absorbed shortwave radiation available for melt. This ice-albedo feedback will lead to continued high rates of thinning unless recently exposed dark ice and firn at high elevations is buried by seasonal snowfall. Physical models that simulate impurity deposition and movement through firn and ice are needed to improve future projections of glacier mass change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115235","usgsCitation":"Menounos, B., Huss, M., Marshall, S., Ednie, M., Florentine, C., and Hartl, L., 2025, Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024): Geophysical Research Letters, v. 52, no. 12, e2025GL115235, 10 p., https://doi.org/10.1029/2025GL115235.","productDescription":"e2025GL115235, 10 p.","ipdsId":"IP-168264","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":491714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115235","text":"Publisher Index Page"},{"id":491524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Switzerland, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -135.99568879770823,\n 54.91892016736358\n ],\n [\n -135.99568879770823,\n 46.622431752452655\n ],\n [\n -111.83646544244147,\n 46.622431752452655\n ],\n [\n -111.83646544244147,\n 54.91892016736358\n ],\n [\n -135.99568879770823,\n 54.91892016736358\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 5,\n 48\n ],\n [\n 5,\n 45.5\n ],\n [\n 12,\n 45.5\n ],\n [\n 12,\n 48\n ],\n [\n 5,\n 48\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Menounos, Brian","contributorId":225514,"corporation":false,"usgs":false,"family":"Menounos","given":"Brian","email":"","affiliations":[{"id":41154,"text":"Geography Program and Natural Resources and Environmental Studies Institute, University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":941479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huss, Matthias","contributorId":342088,"corporation":false,"usgs":false,"family":"Huss","given":"Matthias","affiliations":[],"preferred":false,"id":941480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Shawn","contributorId":357456,"corporation":false,"usgs":false,"family":"Marshall","given":"Shawn","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":941481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ednie, Mark","contributorId":357457,"corporation":false,"usgs":false,"family":"Ednie","given":"Mark","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":941482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":941483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartl, Lea","contributorId":347731,"corporation":false,"usgs":false,"family":"Hartl","given":"Lea","affiliations":[{"id":82428,"text":"Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":941484,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268395,"text":"sir20255040 - 2025 - Aquifer storage change and storage properties, Rio Rancho, New Mexico, 2019–23","interactions":[],"lastModifiedDate":"2025-06-25T13:56:15.826186","indexId":"sir20255040","displayToPublicDate":"2025-06-25T08:36:27","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5040","displayTitle":"Aquifer Storage Change and Storage Properties, Rio Rancho, New Mexico, 2019–23","title":"Aquifer storage change and storage properties, Rio Rancho, New Mexico, 2019–23","docAbstract":"To better understand changes in groundwater storage and groundwater elevations, the U.S. Geological Survey, in cooperation with the City of Rio Rancho, New Mexico, carried out a multiyear groundwater monitoring project. Groundwater-level data were collected at 27 locations, including sites having multiple wells screened at different depths and those having long-term records. A repeat microgravity network of 20 stations was established, and surveys were carried out three times per year. The microgravity method provides a direct, quantitative measurement of mass change caused by aquifer filling or draining. Data collected during the 2019–23 study period indicate generally stable groundwater conditions, with small fluctuations in groundwater levels (increasing at some wells, declining at others), and small declines in groundwater storage over the period of record at most gravity locations (average = −0.33 foot of water per year). The discrepancy between the water-level and microgravity data may have been caused by a loss of soil moisture in the unsaturated zone, which is as much as 1,000 feet thick in some areas. At the Rio Rancho Advanced Water Treatment Facility, where the city recharges water through direct injection, there may be seasonal correlations in storage related to injection but no longer-term accumulation of recharged water in the immediate vicinity of the facility, indicating water is moving efficiently into the aquifer.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Contact Us- USGS Publications Warehouse
","tableOfContents":"Species interactions structure ecological communities through direct and indirect pathways with ecosystem-wide implications. Despite mounting interest in the importance of indirect interactions, empirical evidence remains limited. Here, we demonstrate the critical role of parasite-mediated competition in driving community outcomes in a multi-species system of conservation and management concern. We leveraged 2 years of detection/non-detection data of moose (Alces alces) and white-tailed deer (Odocoileus virginianus) and parasite loads in faecal samples within a hierarchical abundance-mediated interaction model to test hypotheses regarding interactions between these cervids and their shared parasites (Parelaphostrongylus tenuis, Fascioloides magna). We demonstrate that moose occupancy was limited by parasite-mediated competition, with no evidence of population-level effects of direct competitive interactions between moose and white-tailed deer. Such evidence of the importance of indirect interactions and resulting community outcomes is critical for species conservation and managing range contractions due to increasing pressures from habitat loss, disease and climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.70159","usgsCitation":"Grauer, J., Twining, J., Lejeune, M., Frair, J., Schuler, K., Kramer, D., and Fuller, A.K., 2025, Parasite‐mediated competition limits dominant cervid competitor: Ecology Letters, v. 28, no. 6, e70159, 11 p., https://doi.org/10.1111/ele.70159.","productDescription":"e70159, 11 p.","ipdsId":"IP-171932","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70159","text":"Publisher Index Page"},{"id":493718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.86450930313202,\n 44.87977988441\n ],\n [\n -74.86450930313202,\n 44.084393619454204\n ],\n [\n -73.3992247689462,\n 44.084393619454204\n ],\n [\n -73.3992247689462,\n 44.87977988441\n ],\n [\n -74.86450930313202,\n 44.87977988441\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauer, Jennifer A.","contributorId":359241,"corporation":false,"usgs":false,"family":"Grauer","given":"Jennifer A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Joshua P.","contributorId":349314,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lejeune, Manigandan","contributorId":359243,"corporation":false,"usgs":false,"family":"Lejeune","given":"Manigandan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frair, Jacqueline L.","contributorId":342845,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline L.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":945074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuler, Krysten L.","contributorId":342869,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, David W.","contributorId":359247,"corporation":false,"usgs":false,"family":"Kramer","given":"David W.","affiliations":[{"id":37519,"text":"SUNY College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":945076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273454,"text":"70273454 - 2025 - Geochemistry and spatial distribution of Neoproterozoic dike swarms from the northwestern tip of the Arabian-Nubian Shield: Implications for crustal extension","interactions":[],"lastModifiedDate":"2026-01-14T15:44:13.58879","indexId":"70273454","displayToPublicDate":"2025-06-25T08:34:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and spatial distribution of Neoproterozoic dike swarms from the northwestern tip of the Arabian-Nubian Shield: Implications for crustal extension","docAbstract":"Ediacaran dike swarms in the Arabian-Nubian Shield (ANS) provide key insights into post-collisional tectonics and magmatism. This study presents new chemical data, two 40Ar/39Ar ages, and spatial distribution analysis for dike swarms in the northernmost ANS exposures in SW Jordan. Hornblende from a lamprophyre sill intruding the Saramuj Conglomerate yielded a plateau age of ∼592 ± 3 Ma, interpreted as the crystallization age of the sill. Micro-cores of sericite-rich domains in altered plagioclase phenocrysts from a dolerite dike intruding ∼586 Ma alkali granite produced ages of ∼580–570 Ma, interpreted as hydrothermal alteration ages, constraining dike emplacement to 586–580 Ma. The geochemistry of investigated dikes varies from alkaline to subalkaline and crosscuts calc-alkaline magmatic rocks. This transition reflects a shift from compression to extension (∼610-590 Ma), lithospheric thinning, and changes in mantle sources. After 590 Ma, magmatism became exclusively alkaline, forming A-type granitoids and dolerites, marking a shift to extensional magmatism. Dikes predominantly follow NE-SW and E-W orientations, with rare N-S, NW-SE, and WNW-ESE trends, suggesting a major horizontal extension direction from NW-SE to N-S. Dike density ranges from 5 to 13 %, averaging ∼9 %, with crustal extension estimates of 9–23 %, averaging 16 %. No correlation was found between dike composition, orientation, or order of emplacement, indicating consistent stress orientation during the final stage (605-580 Ma) of ANS evolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2025.105743","usgsCitation":"Ghanem, H., Salman, A., McAleer, R.J., Passchier, C.W., and Jarrar, G.H., 2025, Geochemistry and spatial distribution of Neoproterozoic dike swarms from the northwestern tip of the Arabian-Nubian Shield: Implications for crustal extension: Journal of African Earth Sciences, v. 230, 105743, 21 p., https://doi.org/10.1016/j.jafrearsci.2025.105743.","productDescription":"105743, 21 p.","ipdsId":"IP-180175","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":498614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arabian Nubian Shield","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 31.797747826914417,\n 29.641760072593314\n ],\n [\n 33.93598964104597,\n 23.62375082197468\n ],\n [\n 32.99480222270533,\n 21.384851964327254\n ],\n [\n 38.68624808387497,\n 12.65452725801191\n ],\n [\n 45.178411722882146,\n 14.801791809033972\n ],\n [\n 42.380147679929166,\n 22.494783813142725\n ],\n [\n 36.059013995221136,\n 29.907477528272565\n ],\n [\n 31.797747826914417,\n 29.641760072593314\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"230","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ghanem, Hind","contributorId":189107,"corporation":false,"usgs":false,"family":"Ghanem","given":"Hind","email":"","affiliations":[],"preferred":false,"id":953760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salman, Abeer","contributorId":365146,"corporation":false,"usgs":false,"family":"Salman","given":"Abeer","affiliations":[{"id":87065,"text":"King Saud University","active":true,"usgs":false}],"preferred":false,"id":953761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":953762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passchier, Cees W.","contributorId":299270,"corporation":false,"usgs":false,"family":"Passchier","given":"Cees","middleInitial":"W.","affiliations":[{"id":64804,"text":"Johannes Gutenberg University","active":true,"usgs":false}],"preferred":false,"id":953763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarrar, Ghaleb H. 0000-0003-3424-3337","orcid":"https://orcid.org/0000-0003-3424-3337","contributorId":224974,"corporation":false,"usgs":false,"family":"Jarrar","given":"Ghaleb","middleInitial":"H.","affiliations":[{"id":35514,"text":"University of Jordan","active":true,"usgs":false}],"preferred":false,"id":953764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268485,"text":"70268485 - 2025 - MTAB 112, June 2025","interactions":[],"lastModifiedDate":"2025-06-27T13:37:25.623797","indexId":"70268485","displayToPublicDate":"2025-06-25T08:34:16","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 112, June 2025","docAbstract":"This Memo to All Banders (MTAB 112) was released in June 2025. Subjects in this this memo are 1. The Chief’s Chirp; 2. Message from the Director of Eastern Ecological Science Center; 3. Staff Updates – celebrating Craig “Tut” Tuthill’s remarkable career and retirement; 4. Alerts – New reportband.gov link and Highly Pathogenic Avian Influenza; 5. News – Foundational science in flight factsheet, Notes From the Field: What’s on a sparrow’s dinner menu?, bird collision prevention, and BBL featured in Ducks Unlimited Podcast; 6. A note from the permitting shelves – ethics and photography guideline reminders; 7. A note from the supply room – band orders and returns; 8. Frequently asked questions – I haven’t gotten my band order yet, where is it?, Why does my Northern Cardinal kickout for bad age/sex warning on the Bander Portal?, and Where can I get my banding supplies?; 9. Auxiliary marker corner – reminder to double-check authorizations; 10. Banding and encounter highlights; 11. Message to the Flyways – GameBirds and band orders; 12. Moments in history – a history of the BBL; 13. Recent literature; 14. Upcoming events; and 15. 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Obregon, Sonora, Mexico 85000","active":true,"usgs":false}],"preferred":false,"id":942234,"contributorType":{"id":1,"text":"Authors"},"rank":127},{"text":"Zenone, Terenzio","contributorId":357698,"corporation":false,"usgs":false,"family":"Zenone","given":"Terenzio","affiliations":[{"id":85536,"text":"Institute of Research on Terrestrial Ecosystems (IRET) National Research Council (CNR), Via Castellino 111, 80131 Napoli, Italy","active":true,"usgs":false}],"preferred":false,"id":942235,"contributorType":{"id":1,"text":"Authors"},"rank":128},{"text":"Zhao, Junbin","contributorId":357699,"corporation":false,"usgs":false,"family":"Zhao","given":"Junbin","affiliations":[{"id":85537,"text":"Department of Biogeochemistry and Soil Quality, Norwegian Institute of Bioeconomy Research, Ås, 1433, Norway","active":true,"usgs":false}],"preferred":false,"id":942236,"contributorType":{"id":1,"text":"Authors"},"rank":129},{"text":"Zona, Donatella","contributorId":330087,"corporation":false,"usgs":false,"family":"Zona","given":"Donatella","affiliations":[{"id":78805,"text":"University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942237,"contributorType":{"id":1,"text":"Authors"},"rank":130}]}} ,{"id":70268812,"text":"70268812 - 2025 - Quantitative evaluations of earthquake early warning performance using “Did You Feel It?” and post-alert surveys","interactions":[],"lastModifiedDate":"2025-07-08T16:04:22.201324","indexId":"70268812","displayToPublicDate":"2025-06-24T09:00:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative evaluations of earthquake early warning performance using “Did You Feel It?” and post-alert surveys","docAbstract":"We examine responses to the U.S. Geological Survey’s “Did You Feel It?” (DYFI) survey and its companion earthquake early warning (EEW) questionnaire to assess the performance of the U.S. ShakeAlert EEW system directly from the alert recipients’ perspectives. ShakeAlert rapidly detects earthquakes and develops alert information, but as official alert delivery partners issue these alerts, it is thus difficult to determine how many people were alerted and when. We investigate DYFI reports for six California earthquakes that had EEW alerts and substantial responses to the DYFI EEW questionnaire. Comparisons of ShakeAlert predictions to reported intensities demonstrate that magnitude estimation accuracy is not necessarily indicative of ground-motion prediction accuracy. Perceived warning time distributions indicate that estimating maximum-expected warning times using the S-wave arrival is a reasonable assumption when discussing public EEW performance. However, we also find many reports of shorter warning times, late alerts, and missed alerts than expected based on ShakeAlert publication times, suggesting alert delivery latencies are substantial and highly variable. The novelty of our analysis is that we demonstrate that the DYFI EEW survey provides useful EEW efficacy information—independent of the specific alerting pathway—that can be used to inform our choices for conveying EEW performance.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320250018","usgsCitation":"Saunders, J., and Wald, D.J., 2025, Quantitative evaluations of earthquake early warning performance using “Did You Feel It?” and post-alert surveys: The Seismic Record, v. 5, no. 2, p. 239-249, https://doi.org/10.1785/0320250018.","productDescription":"11 p.","startPage":"239","endPage":"249","ipdsId":"IP-178805","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320250018","text":"Publisher Index 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cyanobacteria-dominated reservoir provide management insights","interactions":[],"lastModifiedDate":"2025-07-11T15:21:38.977041","indexId":"70268932","displayToPublicDate":"2025-06-24T08:15:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights","docAbstract":"Reservoirs serve critical roles providing drinking water, irrigation, flood control, hydropower, recreation, fisheries, and aquatic habitat. Yet their physical position, complex shape, and large watersheds make reservoirs especially susceptible to eutrophication and harmful algal bloom (HAB) production. Boysen Reservoir, WY, is a high priority for proactive nutrient management because it is an important source for drinking water and recreation, and has a history of toxic cyanobacterial blooms. We combined four years of comprehensive monitoring efforts by state and federal agencies to characterize the spatiotemporal patterns of nutrient inflow, internal water quality dynamics, and phytoplankton community shifts in Boysen Reservoir. We found nutrient inflow was hydrologically driven, with snowmelt runoff transporting high nutrient loads. Our findings suggest physicochemical and nutrient conditions of the reservoir were strongly different between the furthest reaches of the reservoir, but less variable among the intermediate sites. Space did not play a role in phytoplankton community dynamics, but time was an important factor. Cyanobacteria dominated phytoplankton communities by mid-summer across the reservoir and were driven mainly by temporal physicochemical conditions, like stratification and water temperature. The two most dominant phytoplankton taxa across the four years of sampling were N-fixing, toxin producing cyanobacteria. Extensive monitoring efforts and data analyses can illuminate strategies to safeguard water resources via understanding the drivers of water quality changes and HAB production.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14258-1","usgsCitation":"Rock, L., Fetzer, W., Patterson, L., Sillen, S., Steg, R., Walters, A.W., and Collins, S.M., 2025, Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights: Environmental Monitoring and Assessment, v. 197, 795, 18 p., https://doi.org/10.1007/s10661-025-14258-1.","productDescription":"795, 18 p.","ipdsId":"IP-173265","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14258-1","text":"Publisher Index Page"},{"id":492137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Boysen Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.28940875950443,\n 43.45008748233806\n ],\n [\n -108.28940875950443,\n 43.149830823543425\n ],\n [\n -108.11100943189061,\n 43.149830823543425\n ],\n [\n -108.11100943189061,\n 43.45008748233806\n ],\n [\n -108.28940875950443,\n 43.45008748233806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Rock, Linnea A.","contributorId":357815,"corporation":false,"usgs":false,"family":"Rock","given":"Linnea A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":942651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fetzer, William W.","contributorId":357816,"corporation":false,"usgs":false,"family":"Fetzer","given":"William W.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":942652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay","contributorId":356033,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":942653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sillen, Samuel J.","contributorId":357817,"corporation":false,"usgs":false,"family":"Sillen","given":"Samuel J.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":942654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steg, Ron","contributorId":357818,"corporation":false,"usgs":false,"family":"Steg","given":"Ron","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":942655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collins, Sarah M.","contributorId":204070,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":36821,"text":"Center for Limnology, University of Wisconsin Madison, Madison","active":true,"usgs":false}],"preferred":false,"id":942657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}