Noise exposure is a potential stressor for free-ranging marine mammals and is often studied in the absence of other environmental factors. Here, a multi-investigator, interdisciplinary effort was undertaken to examine the response of elephant seals to multiple stressors. An integrated physiological and ecological approach was taken, including immunology, stress physiology, toxicology, animal behavior, population biology, and life history theory, to examine the cumulative effects of exposure to multiple stressors in elephant seals. While we measured the response of individual animals, a population response can be predicted by incorporating these results into the long-term data on elephant seal demographics.
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In vagile species with high gene flow or recently established populations, such characterizations can be difficult to undertake using traditional genetic markers, and genetic stock identification (GSI) may be confounded by allele-sharing between populations. Loggerhead sea turtles (Caretta caretta) in the southeastern United States comprise seven management units (MUs) based on female philopatry inferred via mitochondrial DNA sequences, yet nuclear microsatellite data do not reflect divergence. Further, loci for accurate GSI are not currently known. To address this, we generated genome-wide single nucleotide polymorphism (SNP) data from 146 females nesting at individual sites representative of each southeastern United States MU. We found weak (FST=0.001–0.003) but significant divergence among all MUs, with more notable divergence between the Gulf Coast and Atlantic Ocean MUs, and amongst the Atlantic Ocean MUs. 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In 2024, the U.S. Department of Energy received $2.7 billion in congressional funding to bolster the domestic uranium production and nuclear fuel supply chain and address reliance on imports from foreign suppliers. In 2025, the U.S. Government issued several Executive and Secretary’s orders aimed at revitalizing the U.S. nuclear sector. If SMRs are to be as widely deployed in the United States and worldwide as envisioned, demand for uranium (nuclear reactor fuel) will likely increase.
After the Fukushima nuclear accident in 2011, the market spot price of uranium began a decline, followed by a decrease in U.S. and global uranium exploration and mine development expenditures that led to a uranium supply deficit until 2020, when prices started to recover, prompting a resurgence in uranium exploration and development. In January of 2024, the uranium spot price rose to a 17-year high $106 (U.S. dollars) per pound of U3O8 (triuranium oxide, commonly known as “yellowcake”), which is expected to increase uranium exploration, mine development, and uranium production domestically and worldwide.
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Building 19, 350 N. Akron Rd.
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Metallurgical coal (met coal; consumed to produce coke for steelmaking) must meet specific chemical and physical specifications. In 2023, the conterminous United States produced 66 million short tons (mst) of met coal, consumed 15.85 mst domestically, exported 51.1 mst, and imported 0.7 mst. Most met coal was produced in the Appalachian Basin, but there are also resources that meet the specifications for met coal in the Western United States.
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U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Cyanobacterial harmful algal blooms (cyanoHABs) pose risks to human and animal health.
We investigated the relationship between cyanoHABs and asthma or wheeze-related emergency department (ED) visits near three Wisconsin cities (Green Bay, Madison, and Oshkosh) during 2017–2019. CyanoHAB exposure was approximated using the Cyanobacterial Assessment Network remotely sensed satellite indicator of cyanobacterial biomass, a chlorophyl algorithm (ChlBS) aggregated by water-adjacent ZIP Code Tabulation Areas (ZCTA), and distance weighted from the nearest waterbody. Weekly counts of ED visits for asthma or wheeze were aggregated by ZCTA. Poisson generalized linear models estimated the association between the weekly number of ED visits and weekly ChlBS, adjusting for maximum temperature, dewpoint, fine particulate matter (PM2.5), month, and correlation within ZCTA.
During 2017–2019, 7,057 ED visits for asthma or wheeze occurred in the study area (42 ZCTAs). Peaks in ChlBS occurred between June and October, with higher values in Lake Winnebago and Lake Mendota compared to Green Bay. ChlBS was not associated with ED visits for asthma or wheeze (adjusted rate ratio = 1.00, 95% confidence interval = 0.99, 1.00), and the presence of onshore winds did not change this result. Monthly aggregations of ED visits and ChlBS showed a monotonic trend between increasing ChlBS and ED visits during July–September.
This study demonstrates the utility of remote sensing data in environmental health research. Future studies could explore individual-level exposure and outcomes to refine health risks associated with cyanoHABs.
","language":"English","publisher":"Wolters Kluwer","doi":"10.1097/EE9.0000000000000439","collaboration":"Center for Disease Control and Prevention, Wisconsin Dept of Health Services, United States Environmental Protection Agency, National Aeronautics and Space Administration, Morgan State University","usgsCitation":"Lavery, A.M., Murray, J., Pennington, A.F., Schaeffer, B., Seegers, B., Hilborn, E.D., Loftin, K., Scroggins, S., and Backer, L., 2026, Cyanobacterial bloom occurrence and emergency department visits for asthma or wheeze, Wisconsin, 2017–2019: Environmental Epidemiology, v. 10, no. 3, e439, https://doi.org/10.1097/EE9.0000000000000439.","productDescription":"e439","ipdsId":"IP-178648","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":503551,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503769,"rank":1,"type":{"id":40,"text":"Open Access 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Center","active":false,"usgs":true}],"preferred":true,"id":960305,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scroggins, Stephen","contributorId":370413,"corporation":false,"usgs":false,"family":"Scroggins","given":"Stephen","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":960306,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Backer, Lorraine","contributorId":334295,"corporation":false,"usgs":false,"family":"Backer","given":"Lorraine","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":960307,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington","interactions":[{"subject":{"id":70275112,"text":"70275112 - 2025 - Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington","indexId":"70275112","publicationYear":"2025","noYear":false,"title":"Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington","indexId":"ofr20261004","publicationYear":"2026","noYear":false,"title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington"},"id":1}],"lastModifiedDate":"2026-04-23T13:56:24.60608","indexId":"ofr20261004","displayToPublicDate":"2026-04-22T14:45:00","publicationYear":"2026","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":"2026-1004","displayTitle":"Development of a Two-Stage Lifecycle Model to Inform the Trap-and-Haul Program for Oncorhynchus kisutch (Coho Salmon) in the Lewis River, Washington","title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington","docAbstract":"Restoration of salmon populations in the upper Lewis River Basin, Washington, depends on a trap-and-haul program owing to the Lewis River Hydroelectric Project (hereinafter referred to as “Project”) operated by PacifiCorp and Cowlitz Public Utilities District (hereinafter referred to as “Utilities”), which has been a barrier to salmon passage since the 1930s. Thus, sustaining the Oncorhynchus kisutch (Walbaum, 1792; coho salmon) population upstream from the Project currently depends on two fundamental factors: (1) the collection of upstream migrating adult coho salmon at Merwin Dam, the lowermost dam within the Project, and transporting them by truck to spawn above Swift Dam, the uppermost dam within the Project; and (2) the collection of out-migrating juvenile coho salmon at the downstream collection facility at Swift Dam for transport and release below the Project. The reintroduction program began once the downstream collection facility at Swift Dam was commissioned in late 2012, with the first year of transport data being collected in 2013. Over the past decade, the Utilities have been collecting data on juvenile outmigrants and adult fish returns at the dams. The need to construct a lifecycle model for Lewis River anadromous fish was identified by the Lewis River Aquatic Technical Subgroup, with the understanding that many years (more than 15 years) of data collection are needed to adequately measure the lifecycle production of salmon. The U.S. Geological Survey was contracted to develop and apply the model to past data at the Lewis River dams to help inform future data collection and provide a framework that can be updated annually to measure trap-and-haul program performance within a lifecycle context.
Because coho salmon can live as long as 5 years, estimating demographic parameters for coho salmon populations over their lifecycle requires at least 10 or more years of data collection. Over the past decade, PacifiCorp has been collecting data on fish collection efficiency and the numbers of adult and juvenile salmon transported around the Lewis River dams, making this an ideal time to formulate a lifecycle model that can guide future data collection efforts and provide preliminary information to resource managers. The goal of the statistical lifecycle model is to estimate annual production and survival during two critical life-stage transitions: (1) the freshwater production from escapement of adults released upstream from Swift Dam, and the collection of downstream migrating juveniles at the downstream passage facility at Swift Dam; and (2) the smolt-to-adult survival from the time of collection at Swift Dam to their return as adults. We used the Beverton-Holt stock-recruitment model to estimate juvenile production from the number of spawners (Beverton and Holt, 1957). This approach allowed us to test for density dependence at current spawner abundances while estimating annual productivity, defined as the number of juveniles produced per spawner at low spawner abundance. Productivity was then expressed as a function of the number of juveniles collected and transported downstream from the Project. Because juvenile fish collection efficiency (FCE) directly affects the number of juveniles that survive to continue downstream migration, FCE is a primary determinant of fish production. Consequently, the modeling framework is well suited to evaluate the performance of trap-and-haul programs within a lifecycle context.
The objectives of this study were to (1) gather and collate available data on adult and juvenile coho salmon at Merwin and Swift Dams; (2) quantify adult escapement, juvenile abundance, and the age at outmigration and adult return; (3) describe, formulate and fit the integrated population model to the data; and (4) summarize our findings, identify data gaps, and identify opportunities for future studies that could improve model estimation and inference. Our key findings were: (1) over and above the number of spawning females, FCE was the primary factor affecting productivity of coho salmon above Swift Dam; (2) smolt-to-adult return (SAR) rates were relatively high considering that harvest was included in the estimate, averaging about 4.5 percent and ranging as high as 12.9 percent; and (3) juvenile capacity upstream from Swift Dam was difficult to estimate due to the limited range in spawning females over the time series of data, suggesting the model may be improved by collecting data at higher spawner abundances. In addition, by including FCE in the model, we estimated that the median pre-collection productivity, defined as the number of juveniles produced per spawner when FCE=1, was 64 juveniles per spawner. Because the two-stage lifecycle model partitions factors that affect fish production in rivers versus the ocean, the model estimates may help inform fishery managers about the overall role that fish collection at Swift Dam plays in the recovery and sustainability of Lewis River coho salmon. By providing the model with (1) more years of data, (2) higher numbers of spawning females, and (3) data on age at juvenile migration in relation to age at adult return, greater certainty in the estimates of capacity and SAR can be attained. Ultimately, information provided by the model may assist in the evaluation and continued improvement of the current trap-and-haul program to support anadromous fishes in the Lewis River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261004","collaboration":"Prepared in cooperation with PacifiCorp","usgsCitation":"Plumb, J.M., and Perry, R.W., 2026, Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington: U.S. Geological Survey Open-File Report 2026–1004, 24 p., https://doi.org/10.3133/ofr20261004. [Supersedes preprint https://doi.org/10.1101/2025.04.30.651546.]","productDescription":"vii, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170103","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1004/coverthb.jpg"},{"id":502781,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1004/ofr20261004.pdf","size":"5.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1004 PDF"},{"id":502782,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261004/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1004 HTML"},{"id":502783,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1004/ofr20261004.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1004 XML"},{"id":502784,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1004/images/"}],"country":"United States","state":"Washington","otherGeospatial":"Lewis River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.99926718616892,\n 46.128547340095906\n ],\n [\n -122.8039992422735,\n 46.12907889994935\n ],\n [\n -122.80484882535518,\n 45.8612743686528\n ],\n [\n -122.00013863515652,\n 45.86266272702096\n ],\n [\n -121.99926718616892,\n 46.128547340095906\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
5501-A Cook Underwood Road
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Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 80.1 trillion cubic feet of shale gas in the Grand Erg/Ahnet Basin Province of Algeria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263005","programNote":"National and Global Petroleum Assessment","usgsCitation":"Brownfield, M.E., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Woodall, C.A., Finn, T.M., Le, P.A., Leathers-Miller, H.M., Pitman, J.K., Drake, R.M., II, and Gaswirth, S.B., 2026, Assessment of undiscovered shale-gas resources in the Grand Erg/Ahnet Basin Province of Algeria, 2026: U.S. Geological Survey Fact Sheet 2026–3005, 4 p., https://doi.org/10.3133/fs20263005.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":503311,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3005/images"},{"id":503212,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3005/fs20263005.pdf","text":"Report","size":"1.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3005"},{"id":503324,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263005/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3005"},{"id":503312,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3005/fs20263005.xml"},{"id":503224,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BHMMZ","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Grand Erg/Ahnet Basin Province—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":503211,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3005/coverthb.jpg"}],"country":"Algeria","otherGeospatial":"Grand Erg/Ahnet Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -6,\n 34\n ],\n [\n -6,\n 24\n ],\n [\n 6,\n 24\n ],\n [\n 6,\n 34\n ],\n [\n -6,\n 34\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
A rapid transition to renewable energy is necessary for achieving global decarbonization targets, but siting conflicts, particularly beyond the built environment, remain a key barrier to sustainable development. At the same time, climate-induced pressures on biodiversity intensify the socio-ecological trade-offs within the energy-agriculture-biodiversity nexus. Using New York State as a case study, we assess the geographic implications of utility-scale solar energy development under competing land-use priorities. We apply a mixed-integer linear programming (MILP) optimization model to evaluate solar buildout across three distinct scenarios: minimizing cost, prioritizing agricultural preservation, and conserving biodiversity, employing a lexicographic hierarchy to enforce a strict ordering of stakeholder priorities. Results indicate that New York can meet its mid-century decarbonization goals by deploying 46,216 MWdc of solar energy, however, achieving this goal involves considerable land-use trade-offs. A cost-minimizing scenario disproportionately targets pasture and hay lands (>40,000 ha), nearly half of which overlap with grassland bird habitat and broader biodiversity areas. Prioritizing agriculture spares ∼80 % of farmland but creates potential for deforestation of over 41,000 ha. Biodiversity-conscious siting avoids ecologically sensitive areas and increases the annualized total costs by 0.17 %, indicating economic feasibility. Our findings highlight the need for spatially informed, integrative land-use strategies that reconcile climate goals with ecological and agricultural values. By linking geospatial optimization with socio-ecological criteria, this work contributes a transferable framework to inform just and ecologically responsible energy transitions in multifunctional landscapes, offering new insights into how geography can advance sustainable development.
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This paper presents a new algorithm to translate continuous body midlines of fish into a series of interconnected segments by identifying favorable joint positions along the body. The algorithm employs binary search to generate parsimonious kinematic models, aiming at minimizing the number of segments yet keeping approximation error below a user-defined threshold. To achieve this, the algorithm maximizes the length of each segment by determining the most distal joint position through repetitive shrinking of the search space. Theoretical and empirical analysis using two different datasets show that the binary search algorithm is substantially faster when compared to segment growing algorithm, which employs linear search to generate its models. There is four-fold improvement in computation time when generating models with less than 10 segments, which are typically sufficient to describe fish and fish-inspired robot movements. Furthermore, the multi-segment models generated by the binary search algorithm matched the ground truth models obtained through dynamic programming in over 97% of cases, and on average, contained one fewer segment than those produced by the Ramer–Douglas–Peucker algorithm, which is widely used in curvature simplification tasks. Our findings suggest that the binary search algorithm provides a computationally efficient approach for generating compact kinematic models and may facilitate the analysis of large datasets with high temporal and spatial resolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.compag.2026.111789","usgsCitation":"Sterling, R.M., Goerig, E.M., Buzdalov, M., Castro-Santos, T., and Akanyeti, O., 2026, Fish body midline segmentation using binary search: Computers and Electronics in Agriculture, v. 248, 111789, 14 p., https://doi.org/10.1016/j.compag.2026.111789.","productDescription":"111789, 14 p.","ipdsId":"IP-171912","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.compag.2026.111789","text":"Publisher Index Page"},{"id":503348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"248","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sterling, Robert M.H.","contributorId":370360,"corporation":false,"usgs":false,"family":"Sterling","given":"Robert","middleInitial":"M.H.","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goerig, Elsa Marie-Catherine 0000-0003-1430-4657","orcid":"https://orcid.org/0000-0003-1430-4657","contributorId":370312,"corporation":false,"usgs":true,"family":"Goerig","given":"Elsa","middleInitial":"Marie-Catherine","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buzdalov, M","contributorId":370313,"corporation":false,"usgs":false,"family":"Buzdalov","given":"M","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akanyeti, O.","contributorId":269927,"corporation":false,"usgs":false,"family":"Akanyeti","given":"O.","email":"","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960156,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275332,"text":"70275332 - 2026 - Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","interactions":[{"subject":{"id":70262007,"text":"70262007 - 2025 - Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022","indexId":"70262007","publicationYear":"2025","noYear":false,"title":"Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022"},"predicate":"SUPERSEDED_BY","object":{"id":70275332,"text":"70275332 - 2026 - Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","indexId":"70275332","publicationYear":"2026","noYear":false,"title":"Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022"},"id":1}],"lastModifiedDate":"2026-04-29T15:01:54.607734","indexId":"70275332","displayToPublicDate":"2026-04-22T09:57:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6465,"text":"Journal of American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","docAbstract":"Illinois contributes substantial nutrient loads to the Gulf of America, warranting watershed-scale assessment. This study estimated nitrate-nitrogen (nitrate-N) and total phosphorus (TP) loads and yields for 49 Illinois 8-digit hydrologic unit code (HUC8) watersheds draining to the Mississippi River Basin from 1997–2022, comparing recent (2018–2022) to baseline (1997–2011) conditions. Estimates included point and nonpoint source contributions, dissolved phosphorus, and water yields. During the recent period, nonpoint sources dominated nutrient export (82% nitrate-N, 78% TP), though point sources drove high yields in the Chicago area. Spatially, nonpoint source nutrient hotspots persisted with nitrate-N yields highest in east-central and northern Illinois and TP yields higher in southern and western Illinois. Temporally, statewide nitrate-N loads decreased 9%, while TP loads increased 27%. Nitrate-N yields increased in 22 HUC8s and decreased in 20, while TP yields increased in 32 HUC8s and decreased in 9. For both nutrients, baseline yields were negatively correlated with yield changes, indicating high-yielding watersheds tended toward larger decreases or smaller increases. Water yields increased 19% on average but were weakly correlated with nutrient yield changes (r = 0.23 and 0.20 for nitrate-N and TP). These results reveal spatially persistent yet temporally divergent nutrient export across Illinois, with contrasting nitrate-N and TP trajectories for nonpoint sources.
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Ayn 0000-0001-7074-0619","orcid":"https://orcid.org/0000-0001-7074-0619","contributorId":290229,"corporation":false,"usgs":true,"family":"Schafer","given":"Lindsey","email":"","middleInitial":"Ayn","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIsaac, Gregory F. 0000-0001-7761-6231","orcid":"https://orcid.org/0000-0001-7761-6231","contributorId":370630,"corporation":false,"usgs":false,"family":"McIsaac","given":"Gregory","middleInitial":"F.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":960594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275228,"text":"70275228 - 2026 - Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime","interactions":[],"lastModifiedDate":"2026-04-23T14:59:21.164096","indexId":"70275228","displayToPublicDate":"2026-04-22T09:50:01","publicationYear":"2026","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":"Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime","docAbstract":"Salt marsh vulnerability to sea-level rise (SLR) is typically assessed using point measurements of vertical accretion, neglecting three-dimensionality of geomorphic evolution and spatial variability. Recent studies suggest links between vertical and horizontal vulnerability, with differences between oligohaline and polyhaline marshes, yet these relationships remain untested in estuary-marsh systems. Here we combine geospatial analysis with hydrodynamic modeling to evaluate how unvegetated/vegetated marsh ratio (UVVR), a metric of marsh degradation, relates to elevation across hydrological regions and salinity regimes in the Albemarle-Pamlico Estuarine System, the largest lagoonal estuary in U.S. We show that at given normalized elevation, UVVR decreases across hydrological regions and salinity regimes from offshore to inland. UVVR-elevation relationship varies systematically with both hydrological setting and salinity regime, with hydrology exerting stronger influence. These findings challenge the assumption of a universal marsh deterioration trajectory and underscore the need to account for spatial heterogeneity when predicting responses to SLR.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL119461","usgsCitation":"Yin, D., Defne, Z., Ganju, N., Warner, J., Ralston, D.K., Harris, C.K., and Li, B., 2026, Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime: Geophysical Research Letters, v. 53, no. 8, e2025GL119461, 12 p., https://doi.org/10.1029/2025GL119461.","productDescription":"e2025GL119461, 12 p.","ipdsId":"IP-183090","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl119461","text":"Publisher Index Page"},{"id":503344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle‐Pamlico Estuarine System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.5,\n 36.692983362167894\n ],\n [\n -75.19410206255961,\n 36.692983362167894\n ],\n [\n -75.19410206255961,\n 34.5\n ],\n [\n -77.5,\n 34.5\n ],\n [\n -77.5,\n 36.692983362167894\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Dongxiao","contributorId":294535,"corporation":false,"usgs":false,"family":"Yin","given":"Dongxiao","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":960173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralston, David K.","contributorId":370316,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":960177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Courtney K.","contributorId":370317,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":960178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":960179,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275367,"text":"70275367 - 2026 - Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend","interactions":[],"lastModifiedDate":"2026-05-01T15:26:27.966229","indexId":"70275367","displayToPublicDate":"2026-04-22T09:38:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend","docAbstract":"The modern drainage network of eastern Tibet is widely believed to have developed through a series of river capture and flow reversal events; however, the timing and mechanisms driving this reorganization remain contentious. Among these events, the river capture that formed the First Bend of the Yangtze River (YFB) stands out as both iconic and particularly debated. Here we present sedimentary provenance data from the Late Miocene–Quaternary Dali Basin, located south of the YFB, which indicate that a southward-flowing Jinsha River (i.e., the present-day upper Yangtze River) sourced sediment to the Dali basin at ∼7.4–6.4 Ma in a drainage configuration different from that of today. Because this interval postdates the initial establishment of a near-modern Jinsha River system prior to the Miocene, our results imply at least two discrete fluvial reorganizations occurred at the YFB—one preceding ∼7.4 Ma and another following ∼6.4 Ma. By integrating these findings with landscape evolution modeling, we infer that the initiation of rapid uplift of the Yulong-Haba Mountains and the Diancang Shan may have been responsible for these drainage reorganizations. These results underscore that Cenozoic drainage systems on the eastern Tibetan Plateau have evolved dynamically on a short timescale of ∼105–106-year, rather than remaining in a long-term stationary configuration on ∼107-year timescales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2026.120054","usgsCitation":"Zhao, X., Li, Y., Zhang, H., Lease, R.O., Wang, Y., Hao, Y., Ma, Z., Xie, H., Kang, H., Xiong, J., and Zhang, P., 2026, Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend: Earth and Planetary Science Letters, v. 686, 120054, 13 p., https://doi.org/10.1016/j.epsl.2026.120054.","productDescription":"120054, 13 p.","ipdsId":"IP-157349","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":503886,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"eastern Tibetan Plateau, first bend of the Yangtze River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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China","active":true,"usgs":false}],"preferred":false,"id":960739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Huiping","contributorId":197172,"corporation":false,"usgs":false,"family":"Zhang","given":"Huiping","email":"","affiliations":[],"preferred":false,"id":960740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":960741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, 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Hao","contributorId":370770,"corporation":false,"usgs":false,"family":"Xie","given":"Hao","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kang, Huan","contributorId":370771,"corporation":false,"usgs":false,"family":"Kang","given":"Huan","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Xiong, Jianguo","contributorId":370772,"corporation":false,"usgs":false,"family":"Xiong","given":"Jianguo","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960747,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Peizhen","contributorId":370773,"corporation":false,"usgs":false,"family":"Zhang","given":"Peizhen","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":960748,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70275286,"text":"70275286 - 2026 - Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?","interactions":[],"lastModifiedDate":"2026-04-27T15:02:08.192248","indexId":"70275286","displayToPublicDate":"2026-04-22T07:55:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?","docAbstract":"The Neoarchean Mentor anorthosite intrusive complex (MAIC) lies within the Wawa subprovince in northwestern Minnesota, in a region where the Wawa, Quetico, and Wabigoon subprovinces are juxtaposed in close proximity. Archean rocks are entirely concealed, and interpretations are developed from aeromagnetic, gravity, and borehole samples. The MAIC includes both anorthosite (dense, weakly magnetized) and oxide-rich gabbro (strongly magnetized) lithologies. Anorthosite is coarse-grained to megacrystic, intensely altered, and locally brecciated. Pervasive epidote alteration enhanced the density of the anorthosite via introduction of higher-density mineral assemblages, explaining why the MAIC produces a significant gravity high. Oxide-rich gabbro forms a border phase of the MAIC and has potential for vanadium, chromium, and titanium mineralization, and produces a strong aeromagnetic high. The MAIC is interpreted to extend over an area of 640 km2, making it the largest known anorthosite complex of the Superior Province, as measured by preserved areal extent. Modeling indicates the MAIC extends more than 6 km into the subsurface. A new Pb–Pb zircon age of 2737.2 ± 4.5 Ma is interpretated as the crystallization age of anorthosite within the MAIC, showing that the MAIC formed well before the ca. 2690 Ma Shebandowanian orogeny, and raising new questions about correlations with other parts of the Wawa subprovince. A low-density batholith, here informally called the Fertile batholith, is interpreted to intrude the southern part of the MAIC. A new Pb–Pb zircon age of 2701.1 ± 6 Ma is interpreted as the magmatic age of the Fertile batholith.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2025-0089","usgsCitation":"Drenth, B.J., Radakovich, A.L., Souders, A., Hudak, G.J., and Saari, S., 2026, Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?: Canadian Journal of Earth Sciences, v. 63, p. 1-15, https://doi.org/10.1139/cjes-2025-0089.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-182404","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":503765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjes-2025-0089","text":"Publisher Index Page"},{"id":503548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"northwestern Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.07620613768854,\n 48.191635179203104\n ],\n [\n -97.07620613768854,\n 47.53413690391682\n ],\n [\n -95.69318804170514,\n 47.53413690391682\n ],\n [\n -95.69318804170514,\n 48.191635179203104\n ],\n [\n -97.07620613768854,\n 48.191635179203104\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radakovich, Amy L.","contributorId":370430,"corporation":false,"usgs":false,"family":"Radakovich","given":"Amy","middleInitial":"L.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":960339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Souders, Amanda Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda Kate","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, George J.","contributorId":370431,"corporation":false,"usgs":false,"family":"Hudak","given":"George","middleInitial":"J.","affiliations":[{"id":88028,"text":"retired from Natural Resources Research Institute","active":true,"usgs":false}],"preferred":false,"id":960341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saari, Stacy","contributorId":346927,"corporation":false,"usgs":false,"family":"Saari","given":"Stacy","email":"","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":960342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275607,"text":"70275607 - 2026 - A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making","interactions":[],"lastModifiedDate":"2026-05-05T14:55:27.565619","indexId":"70275607","displayToPublicDate":"2026-04-22T07:47:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making","docAbstract":"Resource managers are tasked with protecting natural areas from invasive species with limited resources. Further, invasive management goals can vary greatly based on different management priorities specific to management agencies or taxa of interest. The site prioritization tool for invasive species management addresses these challenges by creating a platform to view and combine diverse spatial data layers to estimate cumulative invasion risk based on user-specific needs. For this tool, we developed a human transport risk layer, estimating invasion risk based on proximity to human population centers and transportation corridors, and created maps of non-native species richness across the conterminous United States. The tool also includes spatial layers showing projected changes in key climate variables through the end of the century to identify areas where invasion risk may shift. Users can explore these layers to prioritize sites based on the invasive taxa of interest, likely invasion pathways, and disturbances that may elevate invasion risk. This interactive tool will allow managers to make the spatial comparisons needed to focus efforts on areas that are highly susceptible to invasion and efficiently target monitoring and suppression efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2026.103779","usgsCitation":"Prevéy, J.S., Reimer, C.J., Engelstad, P.S., Belamaric, P.N., Hogan, T., LaRoe, J.M., Mumford, C.J., Sieracki, J.L., and Jarnevich, C.S., 2026, A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making: Ecological Informatics, v. 95, 103779, 11 p., https://doi.org/10.1016/j.ecoinf.2026.103779.","productDescription":"103779, 11 p.","ipdsId":"IP-170865","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2026.103779","text":"Publisher Index Page"},{"id":503992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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N.","contributorId":371100,"corporation":false,"usgs":false,"family":"Belamaric","given":"Pairsa","middleInitial":"N.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":961033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogan, Terri","contributorId":240929,"corporation":false,"usgs":false,"family":"Hogan","given":"Terri","email":"","affiliations":[{"id":48162,"text":"National Park Service, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":961034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaRoe, Jillian M.","contributorId":371101,"corporation":false,"usgs":false,"family":"LaRoe","given":"Jillian","middleInitial":"M.","affiliations":[{"id":88096,"text":"Applied Analysis Solutions LLC","active":true,"usgs":false}],"preferred":false,"id":961035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mumford, Colter J.","contributorId":371102,"corporation":false,"usgs":false,"family":"Mumford","given":"Colter","middleInitial":"J.","affiliations":[{"id":85205,"text":"Montana State University Institute on Ecosystems, National Park Service Greater Yellowstone Network","active":true,"usgs":false}],"preferred":false,"id":961036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sieracki, Jennifer L.","contributorId":371103,"corporation":false,"usgs":false,"family":"Sieracki","given":"Jennifer","middleInitial":"L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":961037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961038,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275358,"text":"70275358 - 2026 - Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot","interactions":[],"lastModifiedDate":"2026-04-30T15:17:01.314898","indexId":"70275358","displayToPublicDate":"2026-04-21T10:11:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot","docAbstract":"A serious emerging threat to southern California riparian ecosystems is the invasive shot hole borer (Euwallacea spp.; SHB), a non-native beetle that cultivates a pathogenic fungus that kills trees of 66 reproductive host species. We examined the response of the bird community at the Tijuana River, California, to a massive SHB infestation in 2015 using data from a Monitoring Avian Productivity and Survivorship (MAPS) station operated during 7 pre-infestation (2009-15) and 7 post-infestation (2017-23) years. Species richness did not change between pre- and immediate (2017-18) post-SHB periods, but average annual adult captures declined by 27%. Among the species making up ≥ 5% of the total individuals caught in any one year (n=15), abundance declined by up to 76% in 10 species, including those most abundant at the station (Bushtit (Psaltriparus minimus), Song Sparrow (Melospiza melodia), Common Yellowthroat (Geothlypis trichas), Orange-crowned Warbler (Leiothlypis celata), and Wilson’s Warbler (Cardellina pusilla)). Mean annual abundance increased slightly for the endangered Least Bell’s Vireo (Vireo bellii pusillus) and Northern Yellow Warbler (Setophaga aestiva) and doubled for House Finch (Haemorhous mexicanus) and Western Warbling-Vireo (V. swainsoni). We compared species trends at the Tijuana River to those at a nearby uninfested MAPS station on the Santa Margarita River to isolate the effect of SHB from other factors influencing annual abundance. The contribution of SHB to changes in abundance post-SHB was high (63-80%) for 7 declining species, moderate (22-45%) for 4 species, and weakly to moderately positive (18-40%) for 3 species. By 2019, the SHB infestation at the Tijuana River had abated and canopy cover was recovering through resprouting of mature willows (Salix spp.) and seedling establishment. Bird abundance tracked this regrowth, with all of the species strongly affected by SHB increasing between 2019-23. The rapid recovery of the Tijuana River habitat and the associated response by the bird community are encouraging signs that the threat of the invasive shot hole borer to regional biodiversity may not be as great as originally anticipated.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2026.1810966","usgsCitation":"Kus, B., Yee, J.L., and Mendia, S., 2026, Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot: Frontiers in Ecology and Evolution, v. 14, 1810966, 9 p., https://doi.org/10.3389/fevo.2026.1810966.","productDescription":"1810966, 9 p.","ipdsId":"IP-186817","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2026.1810966","text":"Publisher Index Page"},{"id":503679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Tijuana River and Santa Margarita River Monitoring Avian Productivity and Survivorship (MAPS) stations","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.12478011611208,\n 32.57418261517307\n ],\n [\n -117.06869623089518,\n 32.57418261517307\n ],\n [\n -117.06869623089518,\n 32.54037521854214\n ],\n [\n -117.12478011611208,\n 32.54037521854214\n ],\n [\n -117.12478011611208,\n 32.57418261517307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":370734,"corporation":false,"usgs":false,"family":"Yee","given":"Julie","middleInitial":"L.","affiliations":[{"id":88067,"text":"USGS- Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":960703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275602,"text":"70275602 - 2026 - Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","interactions":[],"lastModifiedDate":"2026-05-19T15:48:31.65209","indexId":"70275602","displayToPublicDate":"2026-04-21T09:27:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Surface rupture and slip distribution of the 2025 Mw 7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","title":"Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","docAbstract":"The 2025 Mw 7.7 Mandalay, Burma (Myanmar), earthquake ruptured 475 km of the central Sagaing fault and is the longest continental strike-slip rupture on record. The observed rupture length is 1.6–4.7 times the value expected (100–300 km) from existing length-magnitude scaling relations for strike-slip earthquakes. The earthquake resulted from shallow dextral faulting and ruptured bilaterally with supershear speeds south of the epicenter, rupturing close to three major cities in Myanmar and exposing over six million people to violent or extreme shaking. We report on the surface rupture character, length, and slip distribution based on sub-pixel correlation of Sentinel-2 (10 m) and Planet Dove (3 m) optical images and visual analysis of SkySat and WorldView (0.3–0.5 m) optical images. The earthquake had moderate surface slip (average = 3.3 m, maximum = 5.6 m, 25–75% range = 3.0–4.0 m), narrow deformation zone width (1–10 pixels in sub-pixel correlation and up to 190 meters for the detailed surface rupture mapping), and simple fault geometry (no stepovers or large changes in strike, 87% of the rupture that was mapped in detail is single-stranded). We attribute the extreme length of the Mandalay earthquake to supershear rupture speed, simple fault geometry, narrow down-dip width, and moderate surface slip. Based on a compilation of 25 supershear strike-slip earthquakes (Mw 6.5–8.6; 1979–2025), we find that the rupture length of supershear earthquakes does not fit empirical scaling relationships for strike-slip earthquakes that predict length from magnitude. A length-magnitude scaling relationship based on supershear earthquakes has a best fit of log10(surface rupture length) = 0.89 Mw – 4.44, indicating that supershear earthquakes tend to be longer than their subshear counterparts for any given magnitude and thus may expose a greater population to shaking.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220250257","usgsCitation":"Reitman, N.G., Wang, Y., Kuo, Y., Hanagan, C., Hatem, A.E., DuRoss, C.B., Chen, C., Goldberg, D.E., Yin, H.Z., Briggs, R.W., Thompson Jobe, J.A., Nicovich, S.R., Lynch, E.M., Powell, J.H., Barnhart, W.D., and Schmitt, R.G., 2026, Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes: Seismological Research Letters, v. 97, no. 3, p. 1697-1720, https://doi.org/10.1785/0220250257.","productDescription":"24 p.","startPage":"1697","endPage":"1720","ipdsId":"IP-178831","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":504001,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504200,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250257","text":"Publisher Index Page"}],"country":"Myanmar","city":"Mandalay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 91.44734729185865,\n 22.74215156941196\n ],\n [\n 91.44734729185865,\n 16.683007730061675\n ],\n [\n 97.08162433862276,\n 16.683007730061675\n ],\n [\n 97.08162433862276,\n 22.74215156941196\n ],\n [\n 91.44734729185865,\n 22.74215156941196\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":961007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuo, Yu-Ting","contributorId":371095,"corporation":false,"usgs":false,"family":"Kuo","given":"Yu-Ting","affiliations":[{"id":88090,"text":"National Chung Cheng University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":961008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanagan, Catherine Elise 0000-0002-2966-5175","orcid":"https://orcid.org/0000-0002-2966-5175","contributorId":358930,"corporation":false,"usgs":true,"family":"Hanagan","given":"Catherine Elise","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Chun-Chi","contributorId":371096,"corporation":false,"usgs":false,"family":"Chen","given":"Chun-Chi","affiliations":[{"id":88091,"text":"National Taiwan University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":961012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Harriet Zoe 0000-0002-0670-6579","orcid":"https://orcid.org/0000-0002-0670-6579","contributorId":364882,"corporation":false,"usgs":true,"family":"Yin","given":"Harriet","middleInitial":"Zoe","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":961015,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961016,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961017,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":961018,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lynch, Emerson Madelyn 0000-0003-1419-1373","orcid":"https://orcid.org/0000-0003-1419-1373","contributorId":360726,"corporation":false,"usgs":true,"family":"Lynch","given":"Emerson","middleInitial":"Madelyn","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":961019,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Powell, Joseph Hoss 0009-0004-8272-1043","orcid":"https://orcid.org/0009-0004-8272-1043","contributorId":371097,"corporation":false,"usgs":true,"family":"Powell","given":"Joseph","middleInitial":"Hoss","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":961020,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Barnhart, William D. 0000-0003-0498-1697 wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":961149,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961021,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70275144,"text":"tm5E1 - 2026 - Standardized method for logging drill core at the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2026-04-21T14:52:03.318781","indexId":"tm5E1","displayToPublicDate":"2026-04-21T09:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5-E1","displayTitle":"Standardized Method for Logging Drill Core at the Idaho National Laboratory, Idaho","title":"Standardized method for logging drill core at the Idaho National Laboratory, Idaho","docAbstract":"The U.S. Geological Survey’s (USGS) Lithologic Core Storage Library (CSL) at the Idaho National Laboratory stores more than 120,000 feet of drill core that is accessible to the public for research and sampling. To effectively convey the physical and descriptive properties of the drill core, USGS staff at the Idaho National Laboratory Project Office log the drill core and publish the lithologic logs as data releases. The logs provide essential data on the lithology, texture, mineralogy, alteration, and other physical properties of the core, which serve as valuable information for researchers to guide their research and sampling efforts. To ensure consistent, quality, and dependable lithologic logs, this document outlines the procedures and expectations for logging drill core at the CSL. This document describes the processes for storing, photographing, and logging core, and includes a variety of resources, reference materials, and appendixes designed to standardize and aid the logging process. Following the procedures outlined in this document will produce consistent, detailed logs that facilitate dependable observations and serve as an easy reference for researchers and other interested parties.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5E1","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Dietz, H., 2026, Standardized method for logging drill core at the Idaho National Laboratory, Idaho: U.S. Geological Survey Techniques and Methods, book 5, chapter E1, 54 p., https://doi.org/10.3133/tm5E1.","productDescription":"Report: vi, 54 p.; 2 Appendixes","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159218","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":502933,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/05/e1/images/"},{"id":502932,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 5-E1 XML"},{"id":502931,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm5E1/full","linkFileType":{"id":5,"text":"html"},"description":"TM 5-E1 HTML"},{"id":502930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1.pdf","size":"5.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 5-E1 PDF"},{"id":502929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/05/e1/coverthb.jpg"},{"id":503257,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1_appendix1.xlsx","text":"Appendix 1","size":"57 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Digital Logbook"},{"id":503266,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1_appendix1_csv.xlsx","text":"Appendix 1","size":"4.86 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Digital Logbook (in CSV format)"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.25,\n 44\n ],\n [\n -112.4,\n 44\n ],\n [\n -112.4,\n 43.333\n ],\n [\n -113.25,\n 43.333\n ],\n [\n -113.25,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, ID 83702-4520
The U.S. Geological Survey (USGS) manages the Lithologic Core Storage Library (CSL) at Idaho National Laboratory in southeastern Idaho. The CSL stores drill core, which are long cylinders of rock that have been removed from the subsurface of the Earth through drilling. USGS staff describe these drill cores in detail to create lithologic logs, which record features of the drill core like rock type, mineralogy, and appearance. This report explains how to describe drill cores at the CSL so that the lithologic logs are consistent and dependable. The report also includes helpful tools and resources like charts and dictionaries. Following the steps outlined in this report ensures that researchers have detailed and reliable information about the subsurface geology of southeastern Idaho.
","publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietz, Haley M. 0000-0001-9741-9366","orcid":"https://orcid.org/0000-0001-9741-9366","contributorId":350974,"corporation":false,"usgs":true,"family":"Dietz","given":"Haley","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959641,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276244,"text":"70276244 - 2026 - Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","interactions":[],"lastModifiedDate":"2026-05-20T14:13:52.678977","indexId":"70276244","displayToPublicDate":"2026-04-21T08:56:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","docAbstract":"In 2014, California's Sustainable Groundwater Management Act (SGMA) mandated local agencies to devise and implement groundwater sustainability plans to address critically overdrafted conditions throughout the state's aquifers. However, the feasibility of these agencies' sustainability goals has not previously been assessed through a regional-scale, integrative lens. Here, we develop and analyze a novel, basin-wide database of 936 sustainability indicator wells located within Central Valley subbasins designated as critically overdrafted, most of which lie in the San Joaquin Valley. Our database shows 2040 groundwater elevation goals vary widely from 60 m above to 80 m below 2020 levels, with variability within and between adjacent subbasins. To evaluate the feasibility of achieving these goals, we coupled the database with a regional hydrologic model (Central Valley Hydrologic Model version 2) and simulated multiple future pumping scenarios. Results show that under increased groundwater demand, 60%–70% of indicator wells may fail to meet their 2040 goals. Even a 50% reduction from 2020 demand levels leaves nearly 40% of wells failing to meet their sustainability thresholds by 2040. Baseline models show that by 2070, up to 70% of wells could fail to meet their goals due to large-scale, spatially connected regions of groundwater depletion. This integrated framework, linking the first region-wide compilation of SGMA indicator wells with a regional groundwater model, demonstrates that many local sustainability goals may be unattainable with substantial (up to 50%) reductions in pumping. Additional management interventions, such as expanded recharge or coordinated demand reductions, may help achieve sustainability goals.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040639","usgsCitation":"Platt, L., Weingarten, M., Faunt, C., Traum, J.A., and Boyce, S., 2026, Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070): Water Resources Research, v. 62, no. 4, e2025WR040639, 21 p., https://doi.org/10.1029/2025WR040639.","productDescription":"e2025WR040639, 21 p.","ipdsId":"IP-177585","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040639","text":"Publisher Index Page"},{"id":504548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.4080957,\n 34.9782649\n ],\n [\n -117.4924999,\n 36.0958145\n ],\n [\n -121.8550448,\n 40.6736669\n ],\n [\n -122.9860749,\n 40.4691133\n ],\n [\n -121.8550448,\n 38.0720337\n ],\n [\n -119.7007016,\n 35.484185\n ],\n [\n -118.4080957,\n 34.9782649\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Platt, Logan 0009-0009-3390-8043","orcid":"https://orcid.org/0009-0009-3390-8043","contributorId":371426,"corporation":false,"usgs":true,"family":"Platt","given":"Logan","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weingarten, Mathew 0000-0002-1289-5935","orcid":"https://orcid.org/0000-0002-1289-5935","contributorId":371427,"corporation":false,"usgs":false,"family":"Weingarten","given":"Mathew","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":961808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275163,"text":"sir20265136 - 2026 - Assessment of groundwater quantity and quality contributions to Lake Huron","interactions":[],"lastModifiedDate":"2026-04-24T18:36:33.989868","indexId":"sir20265136","displayToPublicDate":"2026-04-20T14:45:02","publicationYear":"2026","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":"2026-5136","displayTitle":"Assessment of Groundwater Quantity and Quality Contributions to Lake Huron","title":"Assessment of groundwater quantity and quality contributions to Lake Huron","docAbstract":"Lake Huron, one of the five Great Lakes, borders the United States and Canada, with Michigan as the only U.S. State on its shoreline. Like other freshwater lakes, it faces water-quality challenges from nutrients and chemicals applied across its drainage basin. Although past studies focused on surface-water sources, groundwater contributions remain less understood. To address this gap, the U.S. Geological Survey, as part of the Cooperative Science and Monitoring Initiative, classified drainage basins to Lake Huron into eight hydrogeologic zones based on bedrock rock type and glacial sediment transmissivity. Utilizing existing data and empirical field data, we quantified groundwater discharge and identified areas of concern for loading of chloride and nitrate to Lake Huron. Groundwater contributions, including indirect and shoreline discharge, ranged from 5.8 to 11.5 inches annually, totaling 1.9 cubic miles and 0.09 cubic mile, respectively. Hydrogeologic zones with higher glacial sediment transmissivity yielded greater indirect groundwater discharge. Chloride levels above the U.S. Environmental Protection Agency’s 250-mg/L recommendation were mainly in the Saginaw lowlands, whereas nitrate above the 10-mg/L standard was rare—found in only 11 wells. Together, the analysis of where groundwater discharge is occurring in the Lake Huron Basin and the identification of areas with potential groundwater-quality concerns can help prioritize areas that are critical to protecting the long-term health of Lake Huron.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265136","collaboration":"Prepared in cooperation with the Great Lakes Cooperative and Science Monitoring Initiative","usgsCitation":"Kaemming, B.B., Ford, C.M., and Martin, S.L., 2026, Assessment of groundwater quantity and quality contributions to Lake Huron: U.S. Geological Survey Scientific Investigations Report 2026–5136, 41 p., https://doi.org/10.3133/sir20265136.","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-174874","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503529,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119372.htm","linkFileType":{"id":5,"text":"html"}},{"id":503229,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P133AHTG","text":"USGS data release","linkHelpText":"Data to improve the understanding of groundwater quantity and quality contributions to Lake Huron"},{"id":503228,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5136/images/"},{"id":503227,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5136/sir20265136.XML","description":"SIR 2026–5136 XML"},{"id":503226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5136/sir20265136.pdf","text":"Report","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026–5136 PDF"},{"id":503225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5136/coverthb.jpg"},{"id":503230,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265136/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026–5136 HTML"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.8593869,\n 46.759902\n ],\n [\n -82.56847017910663,\n 46.759902\n ],\n [\n -82.56847017910663,\n 42.11813735680883\n ],\n [\n -85.8593869,\n 42.11813735680883\n ],\n [\n -85.8593869,\n 46.759902\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Lake Huron is one of the five Great Lakes and is solely bordered by the State of Michigan on the U.S. side of the lake. Nutrients like nitrate and chemicals like chloride are commonly applied to the land surface in the form of agricultural fertilizers and road salts. Nutrients and chemicals can then be transported to downstream water bodies, such as Lake Huron, through streams and groundwater flow. However, neither the volume of groundwater nor the nutrients and chemicals it contributes to Lake Huron are well understood. As part of the Cooperative Science and Monitoring Initiative program, the goals of this study were to assess how much groundwater annually enters Lake Huron and identify if groundwater may be causing nitrate or chloride contamination to Lake Huron. In this study, we quantified groundwater contributions to Lake Huron for drainage areas with similar geology, analyzed existing datasets of groundwater quality with respect to nitrate and chloride, and collected field samples to compare to the other analyses. The results showed that most of the groundwater entering Lake Huron came from groundwater that discharges to streams that flow into the lake, and smaller amounts of groundwater enter Lake Huron through groundwater that directly discharges to the lake shore. Chloride was found to be a greater contaminant risk to Lake Huron because elevated chloride was identified in many groundwater samples from both the bedrock and glacial aquifers. Nitrate was less prevalent in the groundwater samples analyzed. Most groundwater samples did not have detectable levels of nitrate, and the samples that did were primarily from groundwater in the glacial aquifer that lay under agricultural areas.
","publicationDate":"2026-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaemming, Bridget B. 0009-0000-7163-2126","orcid":"https://orcid.org/0009-0000-7163-2126","contributorId":306251,"corporation":false,"usgs":true,"family":"Kaemming","given":"Bridget","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Chanse M. 0000-0002-7159-5051","orcid":"https://orcid.org/0000-0002-7159-5051","contributorId":347040,"corporation":false,"usgs":true,"family":"Ford","given":"Chanse","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Sherry L. 0000-0001-7471-0476","orcid":"https://orcid.org/0000-0001-7471-0476","contributorId":343444,"corporation":false,"usgs":true,"family":"Martin","given":"Sherry","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275176,"text":"ofr20261006 - 2026 - Annotated bibliography of scientific research on new world screwworm (Cochliomyia hominivorax) myiasis in wildlife","interactions":[],"lastModifiedDate":"2026-04-28T16:24:42.208011","indexId":"ofr20261006","displayToPublicDate":"2026-04-20T11:08:53","publicationYear":"2026","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":"2026-1006","displayTitle":"Annotated Bibliography of Scientific Research on New World Screwworm (Cochliomyia hominivorax) Myiasis in Wildlife","title":"Annotated bibliography of scientific research on new world screwworm (Cochliomyia hominivorax) myiasis in wildlife","docAbstract":"The New World screwworm (Cochliomyia hominivorax; NWS) is a parasitic blowfly that lays its eggs in open wounds of live, warm-blooded animals including livestock, wildlife, and potentially humans. The larvae consume living animal tissue, and if untreated, the infestation can lead to death. Although NWS was eradicated in the United States in 1966, it has been moving northward from its endemic range in South America during the past decade and could seriously threaten the health of U.S. wildlife populations, making detection, treatment, and surveillance of the disease far more difficult across this multi-sector disease system.
As the likelihood of NWS reintroduction to the United States increases, veterinarians, wildlife managers, and conservation specialists need to be informed and prepared to respond. The existing knowledge about NWS interactions with wildlife hosts is lacking, especially regarding North American species where the NWS has been eradicated for more than 50 years. To address this knowledge gap, we compiled an annotated bibliography that consolidates key information from the existing literature on NWS infestation in wild animals.
Director, National Wildlife Health Center
U.S. Geological Survey
6006 Schroeder Road
Madison, WI 53711
Objectives:
Pacific salmon and steelhead hatcheries are central to fisheries management along the West Coast of North America, yet they remain a source of persistent controversy. While often framed in binary terms of pro- or anti-hatchery, public perspectives are more nuanced.
Methods:
We conducted 18 in-depth interviews with members of Oregon’s non-tribal fishing communities, including recreational anglers, professional fishers, non-governmental organizations, hatchery workers, and policymakers, to explore perceptions of salmonid hatcheries.
Results:
We developed a typology of perceptions of salmonid hatcheries in Oregon, identifying five distinct belief-based types, which we label Advocates, Reformers, Balancers, Skeptics, and Restorers. These types differed in how they evaluated hatcheries’ social and ecological impacts, governance legitimacy, and management acceptability. While Advocates and Reformers emphasized hatcheries’ social, economic, cultural, and ecological benefits, Skeptics and Restorers prioritized minimizing ecological harm and questioned hatchery effectiveness. Balancers acknowledged both social benefits and ecological risks, supporting context-specific management. All groups articulated different meanings of the term “wild,” suggesting that different perspectives across typologies may exacerbate fundamental miscommunications.
Conclusion:
Our findings highlight the complexity of stakeholder views and the limitations of binary framings. We suggest that tailored communication and engagement strategies, informed by typologies, may foster more inclusive and productive dialogue in hatchery policy and management.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqag016","usgsCitation":"Erickson, B.D., Jones, M.S., and Biedenweg, K., 2026, Beyond pro-vs-anti hatchery: A typology of fishing community perceptions of salmonid hatcheries in Oregon: North American Journal of Fisheries Management, v. 46, p. 636-652, https://doi.org/10.1093/najfmt/vqag016.","productDescription":"17 p.","startPage":"636","endPage":"652","ipdsId":"IP-184594","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/najfmt/vqag016","text":"Publisher Index Page"},{"id":505257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"46","noUsgsAuthors":false,"publicationDate":"2026-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Brian D.","contributorId":372066,"corporation":false,"usgs":false,"family":"Erickson","given":"Brian","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":962707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biedenweg, Kelly","contributorId":372067,"corporation":false,"usgs":false,"family":"Biedenweg","given":"Kelly","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":962709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275777,"text":"70275777 - 2026 - Thematic accuracy assessment of the National Land Cover Database (NLCD2021) for the conterminous United States","interactions":[],"lastModifiedDate":"2026-05-19T14:40:53.82663","indexId":"70275777","displayToPublicDate":"2026-04-20T09:29:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8118,"text":"GIScience & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Thematic accuracy assessment of the National Land Cover Database (NLCD2021) for the conterminous United States","docAbstract":"The MultiResolution Land Characteristics (MRLC) consortium’s National Land Cover Database (NLCD) was established as an operational, stakeholder-oriented land cover monitoring program with the release of the NLCD2001 database. Both land cover and land cover change data became available with the release of NLCD2006. Here, we report the land cover and land cover change accuracies for NLCD2021, documenting Level II and I accuracies for the 2016, 2019, and 2021 land cover datasets and 2016–2021 land cover change. An additional objective, not addressed in previous NLCD assessments, is the estimation of the total variance of area estimates, where total variance includes sampling variance and variability in reference label assignment. We estimate the total variance of the area estimates for the stable and change classes targeted by the strata used in the sampling design. For the 16 Level II classes, the overall accuracy (OA) was 73% ± 1% when agreement was defined using only the primary reference class label and 89% ± 0.7% when agreement was defined as a match between the map label and either the primary or alternate reference label (± standard error, SE). For the eight Level I classes, the corresponding OA estimates were 81% ± 0.9% and 89% ± 0.7%. Level II and Level I OA tended to be higher for 2016 land cover and lower and more similar for 2019 and 2021 land cover. Land cover change user and producer accuracies (UA and PA) tended to be <50%. When the alternate reference label was included in the definition of agreement, exceptions of high class-specific accuracies (≥75%) were more prevalent for PA than UA. The consistency of reference label interpretations was greater for no-change classes than for change classes. The estimates of the total variance incorporating interpreter variability were often smaller than the standard variance estimates, indicating the possibility that the total variance estimator is highly unstable. Further study is needed to improve the utility of this total variance estimator for practical applications.
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USA","active":true,"usgs":false}],"preferred":false,"id":961749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":371385,"corporation":false,"usgs":false,"family":"Stehman","given":"Stephen","middleInitial":"V.","affiliations":[{"id":39524,"text":"College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":961750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorenson, Daniel G. 0000-0003-0365-9444 dsorenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0365-9444","contributorId":2898,"corporation":false,"usgs":true,"family":"Sorenson","given":"Daniel","email":"dsorenson@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":961751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gass, Leila 0000-0002-3436-262X","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":371386,"corporation":false,"usgs":false,"family":"Gass","given":"Leila","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":961752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dewitz, Jon 0000-0002-0458-212X","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":215192,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":961753,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasa Kilaru, Johnathan","contributorId":371413,"corporation":false,"usgs":false,"family":"Vasa Kilaru","given":"Johnathan","affiliations":[],"preferred":false,"id":961792,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275320,"text":"70275320 - 2026 - A novel drive-point multilevel system to investigate PFAS and other contaminants of global concern in the hyporheic zone of a wastewater effluent dominated stream","interactions":[],"lastModifiedDate":"2026-04-29T14:14:57.192235","indexId":"70275320","displayToPublicDate":"2026-04-20T09:06:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A novel drive-point multilevel system to investigate PFAS and other contaminants of global concern in the hyporheic zone of a wastewater effluent dominated stream","docAbstract":"Contaminants found in treated wastewater discharged to streams, including pharmaceuticals and per- and polyfluoroalkyl substances (PFAS), are of global concern due to their deleterious effects on aquatic ecosystems and potential impacts to human health. Hyporheic zones have strong potential for contaminant attenuation. Assessing this potential requires collection of physical and biogeochemical data within the hyporheic zone. This study tested the applicability of a novel drive-point multilevel system (DP-MLS) for quantifying head profiles and characterizing contaminant concentrations in the hyporheic zone of a temperate region effluent dominated stream (EDS). DP-MLS, each with 4 ports, were installed in the stream bed at two sites, DS-1 and DS-2, 0.2 and 4.7 km downstream of the effluent outfall, respectively. Head profiles were measured and groundwater collected for analysis of pharmaceuticals and PFAS temporally over two years. The DP-MLS withstood rapid changes in stage, ice formation, and floating debris. Vertical hydraulic gradients (VHG) were generally upward but varied in magnitude indicating heterogeneity in hydraulic conductivity and variability in flow conditions. Upward VHG were also about 2X larger at DS-1 than at DS-2. Contaminant concentration profiles consistently showed penetration of pharmaceuticals and PFAS to 1 m below the bed at DS-2 while there was less penetration, lower groundwater concentrations, and more temporal variability in concentrations at DS-1. Integration of the physical and chemical data suggests weaker upwelling conditions at DS-2 are more easily reversed during periods of high stream stage, which could facilitate migration of wastewater contaminants into the bed. However, further studies incorporating other transport processes and reach scale dynamics are required to fully characterize these exchanges. Overall, this study demonstrates the efficacy of these novel DP-MLSs for characterization of the hyporheic zone and provides new insights into the occurrence, composition, and persistence of wastewater derived contaminants in the hyporheic zone of a well-studied EDS.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70517","usgsCitation":"Meyer, J.R., Mianecki, A.L., Occhi, E., Kolpin, D., and LeFevre, G.H., 2026, A novel drive-point multilevel system to investigate PFAS and other contaminants of global concern in the hyporheic zone of a wastewater effluent dominated stream: Hydrological Processes, v. 40, no. 4, e70517, 20 p., https://doi.org/10.1002/hyp.70517.","productDescription":"e70517, 20 p.","ipdsId":"IP-182710","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70517","text":"Publisher Index Page"},{"id":503619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Iowa","county":"Johnson County","otherGeospatial":"Muddy Creek","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.3677,41.8603],[-91.3673,41.7745],[-91.3675,41.6855],[-91.3671,41.5987],[-91.3679,41.5107],[-91.3687,41.4235],[-91.4839,41.4222],[-91.4843,41.4286],[-91.492,41.4405],[-91.5033,41.4493],[-91.5026,41.452],[-91.4989,41.4538],[-91.4988,41.4592],[-91.5145,41.4676],[-91.5156,41.4704],[-91.5136,41.4767],[-91.5038,41.4779],[-91.5029,41.4874],[-91.5039,41.4933],[-91.5076,41.4939],[-91.5107,41.4944],[-91.5112,41.4971],[-91.508,41.5016],[-91.5098,41.5034],[-91.5117,41.5016],[-91.5148,41.4985],[-91.5197,41.4981],[-91.5196,41.5027],[-91.5281,41.5078],[-91.528,41.511],[-91.5991,41.5107],[-91.7138,41.511],[-91.8291,41.5116],[-91.827,41.6001],[-91.8337,41.6006],[-91.8335,41.6865],[-91.8327,41.775],[-91.8318,41.8617],[-91.716,41.862],[-91.5989,41.8612],[-91.4836,41.8608],[-91.3677,41.8603]]]},\"properties\":{\"name\":\"Johnson\",\"state\":\"IA\"}}]}","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, J. 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L.","contributorId":370597,"corporation":false,"usgs":false,"family":"Mianecki","given":"A.","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Occhi, E.","contributorId":370598,"corporation":false,"usgs":false,"family":"Occhi","given":"E.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeFevre, G. H.","contributorId":370599,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":960564,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275739,"text":"70275739 - 2026 - Line transect distance sampling and genetic analyses reveal a small but genetically diverse coastal Gopher Tortoise (Gopherus polyphemus) population","interactions":[],"lastModifiedDate":"2026-05-15T13:40:58.246685","indexId":"70275739","displayToPublicDate":"2026-04-20T08:36:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Line transect distance sampling and genetic analyses reveal a small but genetically diverse coastal Gopher Tortoise (Gopherus polyphemus) population","docAbstract":"Gopher Tortoises inhabit coastal systems, including barrier islands, across the southeastern U.S. St. Vincent National Wildlife Refuge is an uninhabited barrier island located off the coast of northwestern Florida. Although tortoises have been observed on the island, no information is available on the status of the population. We conducted a line transect distance sampling survey to evaluate the Gopher Tortoise population on St. Vincent Island. Additionally, we collected samples for genetic analyses from 11 individual tortoises captured opportunistically and via bucket traps on the island and 15 tortoises captured at nearby mainland sites. Surveys covered approximately 43% of the sampling frame and resulted in 55 burrows, 28 of which were occupied. The abundance estimate for the island was 52 tortoises (95% confidence interval [CI] = 27–100) and the density was relatively low at 0.071 tortoises/ha (95% CI = 0.037–0.136). Genetic analyses of two mtDNA markers identified a new haplotype unique to St. Vincent Island and another three haplotypes previously found across the southeastern U.S. The genetic composition of Gopher Tortoises on St. Vincent Island is representative of the entire southeastern U.S. but most closely aligns with tortoise populations east of the Apalachicola-Chattahoochee River system. Although the tortoise population on this island is small, the extent of seemingly appropriate habitat on the island and the genetic diversity of the population suggests the potential for growth with added management intervention.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Lamont, M., Gallardo-Alanis, I., Chordia, D., Palandri, M., and Chiari, Y., 2026, Line transect distance sampling and genetic analyses reveal a small but genetically diverse coastal Gopher Tortoise (Gopherus polyphemus) population: Herpetological Conservation and Biology, v. 21, no. 1, p. 199-212.","productDescription":"14 p.","startPage":"199","endPage":"212","ipdsId":"IP-173748","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504408,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/"}],"country":"United States","state":"Florida","otherGeospatial":"St. Vincent Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.23188159477037,\n 29.696658487854037\n ],\n [\n -85.05295475550918,\n 29.696658487854037\n ],\n [\n -85.05295475550918,\n 29.613508264154774\n ],\n [\n -85.23188159477037,\n 29.613508264154774\n ],\n [\n -85.23188159477037,\n 29.696658487854037\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206258,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallardo-Alanis, Irlanda","contributorId":371343,"corporation":false,"usgs":false,"family":"Gallardo-Alanis","given":"Irlanda","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":961584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chordia, Diya","contributorId":371344,"corporation":false,"usgs":false,"family":"Chordia","given":"Diya","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":961585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palandri, Michael","contributorId":266063,"corporation":false,"usgs":false,"family":"Palandri","given":"Michael","email":"","affiliations":[{"id":54875,"text":"Cherokee Nation Systems Services","active":true,"usgs":false}],"preferred":false,"id":961586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiari, Ylenia 0000-0003-2338-8602","orcid":"https://orcid.org/0000-0003-2338-8602","contributorId":266062,"corporation":false,"usgs":false,"family":"Chiari","given":"Ylenia","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":961587,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274714,"text":"70274714 - 2026 - Quantitative mineral resource assessment of lithium pegmatite deposits in the northern Appalachian orogen, USA","interactions":[],"lastModifiedDate":"2026-04-20T15:29:50.579796","indexId":"70274714","displayToPublicDate":"2026-04-18T10:21:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative mineral resource assessment of lithium pegmatite deposits in the northern Appalachian orogen, USA","docAbstract":"Lithium demand is projected to increase more than 48 times by 2040 due to electric vehicle production and other energy storage needs. Most lithium production is outside of the USA, thereby increasing supply chain vulnerability. The combined end use importance and heightened supply risk of lithium make this lightest metallic element a critical commodity to the USA. To mitigate this supply risk, the US Geological Survey is actively assessing lithium deposits in the USA. Herein, we detail an assessment for lithium-mineralized pegmatites in the US northern Appalachian Mountains. Permissive tracts were generated by cross-referencing tectonic and geologic maps and mineral occurrence data with mappable criteria derived from generalized and region-specific lithium pegmatite ore deposit models; tracts were then ranked as having high, medium, or low permissibility. Available geophysical and geochemical data were found to be of minimal utility for this deposit type at the scale of the assessment. The number of undiscovered deposits were estimated and integrated into probabilistic simulations, which included an expanded and updated global grade and tonnage model of pegmatite-hosted lithium ore. The estimated total amount of undiscovered resources for the northern Appalachian Orogen has a median value of 1,410,000 metric tons of Li2O when considering moderate correlation across sub-regions. At a confidence level of 90%, a resource of at least 90,000 metric tons of Li2O remains undiscovered, and at a 10% confidence level, a resource of as much as 7,380,000 metric tons Li2O remains undiscovered. After applying an up-to-date economic filter to convert median contained lithium to recoverable material, a correlated total of 900,000 metric tons of Li2O may be economically extractable, equating to enough Li2O to provide the current annual US lithium supply deficit (presently obtained through net imports) for 127 years at 2025 rates of apparent consumption. This period of provision will inevitably shorten with projected increasing consumption rates, emphasizing that further research could be completed to better delineate regions of high lithium resource potential and support exploration and domestic production.
","language":"English","publisher":"Springer","doi":"10.1007/s11053-026-10652-9","usgsCitation":"Wintzer, N.E., Holm-Denoma, C., Poletti, J.E., McCaffrey, D.M., Mordensky, S.P., Tharalson, E., and Cronkite-Ratcliff, C., 2026, Quantitative mineral resource assessment of lithium pegmatite deposits in the northern Appalachian orogen, USA: Natural Resources Research, https://doi.org/10.1007/s11053-026-10652-9.","ipdsId":"IP-175117","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":503437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-026-10652-9","text":"Publisher Index Page"},{"id":503246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, 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0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poletti, Jacob Evan 0000-0002-3091-1249","orcid":"https://orcid.org/0000-0002-3091-1249","contributorId":345933,"corporation":false,"usgs":true,"family":"Poletti","given":"Jacob","email":"","middleInitial":"Evan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":958773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffrey, Dalton M. 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