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).
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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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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. Request for information.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., 2025, MTAB 112, June 2025: Memo to All Banders (MTAB), 16 p.","productDescription":"16 p.","ipdsId":"IP-180261","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491513,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-112-june-2025"}],"noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":941505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272646,"text":"70272646 - 2025 - Why are non-native plants successful? Consistently fast economic traits and novel origin jointly explain abundance across US ecoregions","interactions":[],"lastModifiedDate":"2025-12-02T16:20:56.981685","indexId":"70272646","displayToPublicDate":"2025-06-24T10:16:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Why are non-native plants successful? Consistently fast economic traits and novel origin jointly explain abundance across US ecoregions","docAbstract":"Environmental observation networks, such as AmeriFlux, are foundational for monitoring ecosystem response to climate change, management practices, and natural disturbances; however, their effectiveness depends on their representativeness for the regions or continents. We proposed an empirical, time series approach to quantify the similarity of ecosystem fluxes across AmeriFlux sites. We extracted the diel and seasonal characteristics (i.e., amplitudes, phases) from carbon dioxide, water vapor, energy, and momentum fluxes, which reflect the effects of climate, plant phenology, and ecophysiology on the observations, and explored the potential aggregations of AmeriFlux sites through hierarchical clustering. While net radiation and temperature showed latitudinal clustering as expected, flux variables revealed a more uneven clustering with many small (number of sites < 5), unique groups and a few large (> 100) to intermediate (15–70) groups, highlighting the significant ecological regulations of ecosystem fluxes. Many identified unique groups were from under-sampled ecoregions and biome types of the International Geosphere-Biosphere Programme (IGBP), with distinct flux dynamics compared to the rest of the network. At the finer spatial scale, local topography, disturbance, management, edaphic, and hydrological regimes further enlarge the difference in flux dynamics within the groups. Nonetheless, our clustering approach is a data-driven method to interpret the AmeriFlux network, informing future cross-site syntheses, upscaling, and model-data benchmarking research. Finally, we highlighted the unique and underrepresented sites in the AmeriFlux network, which were found mainly in Hawaii and Latin America, mountains, and at under-sampled IGBP types (e.g., urban, open water), motivating the incorporation of new/unregistered sites from these groups.
","language":"English","publisher":"Elsevier B.V.","doi":"10.1016/j.agrformet.2025.110686","usgsCitation":"Reed, D., Chu, H., Peter, B.G., Chen, J., Abraha, M., Amiro, B., Anderson, R.G., Arain, M., Arruda, P., Barron-Gafford, G.A., Bernacchi, C., Beverly, D., Biraud, S., Black, T.A., Blanken, P.D., Bohrer, G., Bowler, R., Bowling, D., Bret-Harte, M., Bretfeld, M., Brunsell, N., Bullock, S., Celis, G., Chen, X., Classen, A., Cook, D., Cueva, A., Dalmagro, H.J., Davis, K.J., Desai, A., Duff, A., Dunn, A., Durden, D., Edgar, C.W., Euskirchen, E., Bracho, R., Ewers, B.E., Flanagan, L.B., Florian, C.R., Foord, V., Forbrich, I., Forsythe, B., Frank, J., Garatuza-Payan, J., Goslee, S., Gough, C.M., Green, M.B., Griffis, T., Helbig, M., Hill, A., Hinkle, R., Horne, J., Humphreys, E., Ikawa, H., Iwahana, G., Jassal, R., Johnson, B.K., Johnson, M.S., Kannenberg, S., Kelsey, E., King, J., Knowles, J.F., Knox, S., Kobayashi, H., Kolb, T., Kolka, R., Krauss, K., Kutzbach, L., Lamb, B.T., Law, B.E., Lee, S., Lee, X., Liu, H., Loescher, H.W., Malone, S.L., Matamala, R., Mauritz, M., Metzger, S., Meyer, G., Mitra, B., Munger, J., Nesic, Z., Noormets, A., O'Halloran, T., O'Keeffe, P., Oberbauer, S.F., Oechel, W., Oikawa, P., Olivas, P., Ouimette, A., Pastorello, G., Perez-Quezada, J., Phillips, C., Posse, G., Qu, B., Quinton, W.L., Reba, M.L., Richardson, A.D., Picasso, V., Rocha, A., Rodriguez, J., Ruzol, R., Saleska, S., Scott, R.L., Schreiner-McGraw, A.P., Schuur, E., Silveira, M., Sonnentag, O., Spittlehouse, D., Staebler, R., Starr, G., Staudhammer, C., Still, C., Sturtevant, C., Sullivan, R., Suyker, A., Trejo, D., Ueyama, M., Vargas, R., Viner, B., Vivoni, E.R., Wang, D., Ward, E.J., Wiesner, S., Windham-Myers, L., Yannick, D., Yepez, E., Zenone, T., Zhao, J., and Zona, D., 2025, Network of networks: Time series clustering of AmeriFlux sites: Agricultural and Forest Meteorology, v. 372, 110686, 18 p., https://doi.org/10.1016/j.agrformet.2025.110686.","productDescription":"110686, 18 p.","ipdsId":"IP-167572","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":492047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2025.110686","text":"Publisher Index Page"},{"id":491777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","noUsgsAuthors":false,"publicationDate":"2025-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Reed, David E.","contributorId":349160,"corporation":false,"usgs":false,"family":"Reed","given":"David E.","affiliations":[{"id":83451,"text":"School of the Environment, Yale University, New Haven","active":true,"usgs":false}],"preferred":false,"id":942108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Housen","contributorId":330059,"corporation":false,"usgs":false,"family":"Chu","given":"Housen","affiliations":[{"id":78784,"text":"Lawrence Berkeley National Lab, Berkeley, CA 94702, USA","active":true,"usgs":false}],"preferred":false,"id":942109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peter, Brad G.","contributorId":192813,"corporation":false,"usgs":false,"family":"Peter","given":"Brad","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":942110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Jiquan","contributorId":330058,"corporation":false,"usgs":false,"family":"Chen","given":"Jiquan","affiliations":[{"id":78783,"text":"Michigan State University, East Lansing, MI 48823, USA","active":true,"usgs":false}],"preferred":false,"id":942111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abraha, Michael","contributorId":357644,"corporation":false,"usgs":false,"family":"Abraha","given":"Michael","affiliations":[{"id":85486,"text":"Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, 48823, USA","active":true,"usgs":false}],"preferred":false,"id":942112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amiro, Brian","contributorId":357645,"corporation":false,"usgs":false,"family":"Amiro","given":"Brian","affiliations":[{"id":85487,"text":"Department of Soil Science, University of Manitoba, Winnipeg, MB, R3T2N2, Canada","active":true,"usgs":false}],"preferred":false,"id":942113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Ray G.","contributorId":269952,"corporation":false,"usgs":false,"family":"Anderson","given":"Ray","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":942114,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arain, M. 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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}]}} ,{"id":70269575,"text":"70269575 - 2025 - Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies","interactions":[],"lastModifiedDate":"2025-07-28T14:51:32.83067","indexId":"70269575","displayToPublicDate":"2025-06-24T07:48:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22149,"text":"Environmental and Sustainability Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies","docAbstract":"Tradeoffs are part of the inherent challenge of making decisions. Defaulting to a prevalent method can mask methodological variation and potential improvement in decision quality. We applied and compared methods for multi-criteria decision analysis (MCDA) in real-world environmental planning. Decision makers at a global conservation organization formed teams to review and prioritize the allocation of resources across a set of existing strategies across seven teams. Each team evaluated and rated strategies based on a common scale composed of weighted objectives and criteria. Sensitivity analysis included implementing two different MCDA methods, varying strategy ratings, and using two different criteria weighting techniques. The MCDA methods were SMART (Simple Multi-Attribute Rating Technique) and ELECTRE (ELimination and Choice Expressing The REality). We tested user satisfaction between methods, overall rankings between methods, and whether MCDA improved the decision-making process. The methods did not differ in most comparisons, although participants were more likely to use the SMART method in future tradeoff decisions. We found evidence of rank correlation between methods. Lastly, the teams’ final recommendations were consistent with MCDA results. This study highlights the advantages and disadvantages of MCDA in real-world applications.","language":"English","publisher":"Elsevier","doi":"10.1016/j.indic.2025.100764","usgsCitation":"Martin, D.M., and Smith, D.R., 2025, Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies: Environmental and Sustainability Indicators, v. 27, 100764, 12 p., https://doi.org/10.1016/j.indic.2025.100764.","productDescription":"100764, 12 p.","ipdsId":"IP-153399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.indic.2025.100764","text":"Publisher Index Page"},{"id":493000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, David M. 0000-0002-1514-5734","orcid":"https://orcid.org/0000-0002-1514-5734","contributorId":210575,"corporation":false,"usgs":false,"family":"Martin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":944094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":944095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268358,"text":"ofr20251033 - 2025 - Select elements of concern in surface water of three hydrologic basins (Delaware River, Illinois River, and Upper Colorado River)—Data screening for the development of spatial and temporal models","interactions":[],"lastModifiedDate":"2025-06-24T13:43:22.987262","indexId":"ofr20251033","displayToPublicDate":"2025-06-23T14:10:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1033","displayTitle":"Select Elements of Concern in Surface Water of Three Hydrologic Basins (Delaware River, Illinois River, and Upper Colorado River)—Data Screening for the Development of Spatial and Temporal Models","title":"Select elements of concern in surface water of three hydrologic basins (Delaware River, Illinois River, and Upper Colorado River)—Data screening for the development of spatial and temporal models","docAbstract":"The report focuses on the screening of previously published concentration data associated with 12 elements of concern (aluminum, arsenic, cadmium, chromium, copper, iron, mercury, manganese, lead, selenium, uranium, and zinc) measured in stream surface waters of three hydrologic basins (Delaware River Basin, Illinois River Basin, and the Upper Colorado River Basin). The purpose of this analysis is to determine what subsets of the original dataset (containing more than 1,500,000 observations) may be most suitable for each of two types of modeling efforts. The first type of modeling envisions a machine learning approach to determine which geospatial attributes are most significant in describing the spatial distribution of elemental concentrations within a basin. The second type of modeling envisions a stepwise regression approach to develop multivariable models that can be used to determine high resolution time-series estimates of elemental concentrations or loads at discrete U.S. Geological Survey real-time stream surface water sites. These site-specific temporal models are based on continuous measurements of available discharge and (or) in situ sensor data (temperature, pH, turbidity, dissolved oxygen, specific conductance, and (or) fluorescent dissolved organic matter) as the explanatory variables. The data screening for both model types considered historical trends in analytical methods and detection quantitation limits, the extent of censored data, data density, and environmental relevance with respect to three U.S. Environmental Protection Agency water quality thresholds (drinking water guidelines, human health criteria, and aquatic life criteria). The result of this analysis was the production of a final list of potential models deemed suitable for further development based upon the data exclusion (or inclusion) scheme developed herein for each model type. In both cases, the final models included mostly the three crustal elements (iron, manganese, and aluminum) that are found at comparatively high concentrations in surface water, whereas most of the more pernicious elements were excluded from the final model lists owing to various data limitations. 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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251033","programNote":"Water Quality Program","usgsCitation":"Marvin-DiPasquale, M.C., McCleskey, R.B., Sullivan, S.L., Root, J.C., Seawolf, S.M., Ransom, K.M., Wherry, S.A., Kakouros, E., and Baesman, S., 2025, Select elements of concern in surface water of three hydrologic basins (Delaware River, Illinois River, and Upper Colorado River)—Data screening for the development of spatial and temporal models: U.S. Geological Survey Open-File Report 2025–1033, 25 p., https://doi.org/10.3133/ofr20251033.","productDescription":"Report: v, 25 p.; 2 Data Releases","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151463","costCenters":[{"id":37277,"text":"WMA - Earth System Processes 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Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Ave, Suite 1950
Portland, OR 97204
Thiamine (vitamin B1) deficiency in marine systems is a globally significant threat to marine life. In 2020, newly hatched Chinook salmon (Oncorhynchus tshawytscha) fry in California’s Central Valley (CCV) hatcheries swam in corkscrew patterns and died at unusually high rates due to a lack of this essential vitamin. We subsequently investigated the impacts and causes of thiamine deficiency in California’s anadromous salmonids. Our laboratory studies defined the relationship between thiamine concentrations in Chinook salmon eggs and early life-stage survival in offspring; we used these data to develop a model that estimated 26 to 48% thiamine-dependent fry mortality across consecutive years (2020–2021) for winter-run Chinook salmon. We established an egg surveillance effort that found widespread thiamine deficiency in CCV Chinook salmon in 2020 and 2021, and emerging thiamine deficiency in Klamath River and Trinity River coho salmon (Oncorhynchus kisutch) in 2021. We determined that thiamine injections into adults raised egg thiamine concentrations above levels found to impact early life-stage survival and swimming behavior. Ocean surveys, prey nutrition, salmon gut contents, and stable isotope data link thiamine deficiency to an ocean diet dominated by a booming population of northern anchovy (Engraulis mordax). This forage fish had low thiamine, high lipid, and high thiaminase activity levels consistent with both a thiaminase and oxidative stress hypothesis for causing thiamine deficiency in California salmon. Our research suggests California’s already stressed anadromous salmonids will continue to be impacted by thiamine deficiency as long as their ocean forage base and diet are dominated by northern anchovy.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2426011122","usgsCitation":"Mantua, N., Bell, H.M., Todgham, A.E., Daniels, M.E., Rinchard, J., Ludwig, J.R., Field, J., Lindley, S., Rowland, F.E., Richter, C.A., Walters, D., Finney, B., Haskell, A., Tillitt, D., Honeyfield, D.C., Lipscomb, T.N., Kwak, K., Kindopp, J., Cocherell, D.E., Ward, A., Williams, T.H., Harding, J., Fangue, N., Jeffres, C., Ruiz-Cooley, R., Litvin, S., Foott, S., Adkison, M., Kormos, B., Harte, P., Colwell, F.S., Suffridge, C., Shannon, K., Cranford, A., Ambrose, C., Reed, A.N., and Johnson, R.C., 2025, Widespread thiamine deficiency in California salmon linked to an anchovy-dominated marine prey base: Proceedings of the National Academy of Sciences, v. 122, no. 26, e2426011122, 12 p., https://doi.org/10.1073/pnas.2426011122.","productDescription":"e2426011122, 12 p.","ipdsId":"IP-168561","costCenters":[{"id":192,"text":"Columbia Environmental Research 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These deltas also receive total suspended solids (TSS), which may shade sunlight absorption by CDOM, thus limiting photomineralization. To quantify this interaction for the first time, we measured photomineralization rates at 11sites in the Peace‐Athabasca Delta (PAD), Canada. We sampled waters during a July 2022 field campaign for TSS concentration, CDOM concentration (αCDOM,λ), total downwelling sunlight attenuation coefficients (Kd,tot,λ), and light attenuation coefficients due to CDOM (Kd,CDOM,λ). TSS ranged from <1 to 112 mg/L with an average of 19 ± 34 mg/L (mean ± one standard deviation), an order of magnitude lower than TSS reported in rivers entering the PAD earlier in the open water season. αCDOM,λ at 305 nm (αCDOM,305) ranged from 23.3 to 65.2 m-1, Kd,CDOM,305 ranged from 26.3 to 74.1 m−1, and Kd,tot,305 ranged from 19.0 to 63.7 m−1. The ratio of sunlight absorbed by CDOM relative to total sunlight attenuation Kd,CDOM,λ/Kd,tot,λ was inversely correlated with TSS concentration across all wavelengths measured (305–412 nm). TSS thus limited photomineralization rates by shading CDOM from ultraviolet A and visible wavelengths of sunlight, reducing photomineralization rates by up to 56% compared to rates in the absence of TSS or other non-CDOM particles that attenuate sunlight. Results suggest that shifts in delta hydrology that affect TSS concentration likely influence photomineralization rates within TSS-rich northern deltas.
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