In unconventional petroleum reservoirs hydrocarbon fluids are hosted by both mineral and organic matter pores. These pores can have diameters that range from microns to less than a single nanometer and, for unconventional reservoirs, there is evidence that small pores ( <20 nm diameter) may constitute a large proportion of the available space. Understanding subsurface volumes and how fluids behave in them can be helpful for predicting hydrocarbon production and storage in the subsurface. One area with knowledge gaps regarding hydrocarbon behavior in small pores is the possibility for mixtures to fractionate (i.e., unmix) based on pore size or pore type. Mixture fractionation as a function of pore size could impact recovery of hydrocarbons, drive compositional shifts during production, and limit fluid storage within candidate reservoirs. To investigate natural gas fractionation in small geologic pores, we applied total neutron scattering to probe methane-ethane mixtures at reservoir pressures (up to ≈30 MPa) and temperature (60°C) within a sample from the Upper Cretaceous Niobrara Formation. Neutron scattering data reveal only minor fractionation occurs between methane and ethane in 20-nm diameter sample mesopores. Increased fractionation is observed for sample micropores, with up to 72% (±1% at 1-sigma) methane found in 2 nm diameter pores following injection of a 50%-50% methane-ethane mixture. These data provide rarely available direct experimental observations of hydrocarbon mixture behavior under nanoconfinement in a sample from an important unconventional petroleum reservoir. Our results are discussed in the context of evaluating hydrocarbon resources in unconventional reservoir meso- and micropores, reconciling observed gas composition changes during production, and more broadly, understanding subsurface pore volumes within an energy storage framework.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2026.140015","usgsCitation":"Jubb, A., Birdwell, J.E., Ruppert, L., Stokes, M., Wiens, A.M., Headen, T., and Youngs, T.G., 2027, Neutron scattering reveals fractionation of natural gas mixtures in unconventional petroleum reservoir pores: Perspectives on energy resource recovery and storage: Fuel, v. 427, no. Part E, 140015, 9 p., https://doi.org/10.1016/j.fuel.2026.140015.","productDescription":"140015, 9 p.","ipdsId":"IP-178718","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":505040,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fuel.2026.140015","text":"Publisher Index Page"},{"id":504908,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"427","issue":"Part E","noUsgsAuthors":false,"publicationDate":"2026-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":962161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":242600,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":962163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Headen, Thomas","contributorId":239572,"corporation":false,"usgs":false,"family":"Headen","given":"Thomas","affiliations":[],"preferred":false,"id":962165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Youngs, Tristan G. A.","contributorId":202502,"corporation":false,"usgs":false,"family":"Youngs","given":"Tristan","email":"","middleInitial":"G. A.","affiliations":[{"id":36465,"text":"Disordered Materials Group (ISIS), STFC Rutherford Appleton Laboratory, U.K.","active":true,"usgs":false}],"preferred":false,"id":962166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276398,"text":"fs20263002 - 2026 - Arizona Water Science Center activities at Lees Ferry, Arizona","interactions":[],"lastModifiedDate":"2026-06-04T13:47:02.94877","indexId":"fs20263002","displayToPublicDate":"2026-06-03T14:15:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3002","displayTitle":"Arizona Water Science Center Activities at Lees Ferry, Arizona","title":"Arizona Water Science Center activities at Lees Ferry, Arizona","docAbstract":"In 1921, the U.S. Geological Survey (USGS) established a streamgage on the Colorado River at Lees Ferry, Arizona, to monitor the river’s flow and level as it enters Grand Canyon. The following year, the seven States encompassing the Colorado River Basin (Arizona, California, Colorado, Nevada, New Mexico, Utah, and Wyoming) negotiated the 1922 Colorado River Compact to regulate distribution of the river’s waters between them. The compact divided the basin into two regions—the Upper Basin and the Lower Basin—and established the dividing point between them about one mile downstream from Lees Ferry, just below the confluence of the Colorado and Paria Rivers.
The Colorado River at Lees Ferry streamgage (USGS station 09380000) is one of the most important streamgages in the United States because it is used to measure how much water passes from the Upper Basin to the Lower Basin through Glen Canyon Dam. The dam, constructed between 1956 and 1966, generates hydropower and stores water in Lake Powell reservoir, which is used to provide Upper and Lower Basin states with the water allotted to them by the compact. Lower Basin states depend on releases from the dam to receive their allotments. The Lees Ferry streamgage, located less than 16 miles downstream from Glen Canyon Dam, produces publicly available, real-time water data that allows the Colorado River’s streamflow below the dam to be monitored.
Most years, the Colorado River runs dry before reaching its historical terminus at the Gulf of California in Mexico, so measuring and monitoring the river at Lees Ferry is critical for the Lower Basin ecosystems, agricultural resources, and municipal industries that rely on the river’s every drop. Additionally, Grand Canyon river guides and recreationalists depend on water level data from the Lees Ferry streamgage to determine when to run rapids and camp on sandbars. Streamflow and water-quality data collected at Lees Ferry are also important for monitoring the health of the Colorado River’s aquatic life because some species, including fish and macroinvertebrates, require certain water conditions to survive, reproduce, and spawn.
The Arizona Water Science Center is responsible for maintaining and collecting water data from the Lees Ferry streamgage. The Arizona Water Science Center is a branch of the USGS dedicated to providing high quality, impartial water data to resource managers and the public for their use in understanding and managing critical water resources in Arizona and the Southwest.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20263002","usgsCitation":"Cooney, K., 2026, Arizona Water Science Center activities at Lees Ferry, Arizona: U.S. Geological Survey Fact Sheet 2026–3002, 4 p., https://doi.org/10.3133/fs20263002.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-168012","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":504979,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3002/coverthb.jpg"},{"id":504982,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3002/fs20263002.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2026–3002 XML"},{"id":504983,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3002/images"},{"id":504980,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3002/fs20263002.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026–3002 PDF"},{"id":504981,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263002/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2026–3002 HTML"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.37564572779584,\n 36.99849467623304\n ],\n [\n -111.65910481382933,\n 36.99849467623304\n ],\n [\n -111.65910481382933,\n 36.827943533328465\n ],\n [\n -111.37564572779584,\n 36.827943533328465\n ],\n [\n -111.37564572779584,\n 36.99849467623304\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue, Suite 221
Tucson, AZ 85719
The U.S. Geological Survey monitors a suite of intertidal black abalone (Haliotis cracherodii) sites at San Nicolas Island, California, in cooperation with the U.S. Navy, which owns the island. The nine rocky intertidal sites were established in 1980 to study the potential effect of translocated sea otters on the intertidal black abalone population at the island. The sites were monitored from 1981 to 1997, typically annually or biennially. Monitoring resumed in 2001 and has been completed annually thereafter. Since 2018, the work has been carried out by the U.S. Geological Survey Western Ecological Research Center. The study sites became particularly important, from a management perspective, after a virulent disease decimated black abalone populations throughout southern California beginning in the mid-1980s. The disease, withering syndrome (Candidatus Xenohaliotis californiensis), was first observed on San Nicolas Island in 1992 and over the next few years, withering syndrome reduced the black abalone population on San Nicolas Island by more than 99 percent. In 2009, the black abalone subsequently was listed as endangered under the Endangered Species Act.
The subject of this report is the 2023 survey of the sites and the status of the measured population in comparison to long-term patterns (based on data collected since 1981) at San Nicolas Island. Between the years 2000 and 2023, the total monitored black abalone population at the island has grown from roughly 200 to more than 2,500 abalone following disease-related decline. Since it was first consistently measured in 2005, the average distance between adjacent black abalone has decreased substantially from approximately 50 centimeters to less than 15 centimeters, indicating that abalone are sufficiently close together at several of the sites to reproduce successfully. The total abalone count in 2023 was 2,570, which was 19.2 percent higher than in 2022 and the highest count since 1993. All nine sites had higher counts in 2023 than in the previous year. Over 25 percent of the black abalone counted in 2023 were classified as recruits, defined as having a shell length of 3 centimeters or less.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261015","collaboration":"Prepared in cooperation with the U.S. Navy","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Kenner, M.C., and Yee, J.L., 2026, Black abalone surveys at Naval Base Ventura County, San Nicolas Island, California—2023 annual report: U.S. Geological Survey Open- File Report 2026–1015, 39 p., https://doi.org/10.3133/ofr20261015.","productDescription":"viii, 39 p","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166956","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504926,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1015/ofr20261015.pdf","text":"Report","size":"10.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1015 PDF"},{"id":504929,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1015/images"},{"id":504928,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1015/ofr20261015.XML","description":"OFR 2026-1015 XML"},{"id":504927,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261015/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1015 HTML"},{"id":504925,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1015/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Naval Base Ventura County, San Nicolas Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.58614016989262,\n 33.29639489260616\n ],\n [\n -119.41438488619465,\n 33.29639489260616\n ],\n [\n -119.41438488619465,\n 33.201948055912865\n ],\n [\n -119.58614016989262,\n 33.201948055912865\n ],\n [\n -119.58614016989262,\n 33.29639489260616\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
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The 2023 monitoring of black abalone at San Nicolas Island shows strong signs of population recovery following the severe declines caused by withering syndrome in the 1990s. The island-wide summed count from the study sites reached 2,570 individuals—the highest since 1993—and increased nearly 20 percent from 2022, with higher numbers recorded at all nine study sites. Recruitment was particularly strong, with over a quarter of individuals classified as young abalone, and densities and spacing between individuals indicate increasing likelihood of successful reproduction. Although one historically important transect at Site 8 continues to show reduced numbers of larger adults despite high recruitment, the overall population trend across the island remains positive. Continued monitoring is important to track long-term recovery, habitat conditions, and potential risks.
","publicationDate":"2026-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70276287,"text":"sir20255018B - 2026 - Summaries of goals, actions, and information needs by management entity","interactions":[],"lastModifiedDate":"2026-06-03T16:05:30.771038","indexId":"sir20255018B","displayToPublicDate":"2026-06-02T16:30:00","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":"2025-5018","chapter":"B","displayTitle":"Summaries of Goals, Actions, and Information Needs by Management Entity","title":"Summaries of goals, actions, and information needs by management entity","docAbstract":"The grasslands in the North Central region are managed by a diverse group of Federal, State, and Tribal agencies; nongovernmental organizations; partnerships; and private landowners. This chapter highlights these various grassland management entities, provides background information on their mission and organizational structure, and describes some of their key grassland management activities, including the way in which each entity engages private landowners in grassland management. Each section also describes emerging challenges and opportunities and high-level information needs. The review and synthesis of grassland management-related documents identified specific information needs, which are listed in an appendix to provide additional detail for anyone looking to collaborate with grassland management entities on shared interests in grassland management or research.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255018B","collaboration":"Prepared in cooperation with the University of Colorado Boulder","programNote":"Climate Adaptation Science Centers","usgsCitation":"Miller Hesed, C.D., and Yocum, H.M., eds., 2026, Summaries of goals, actions, and information needs by management entity, chap. B of Grassland management priorities for the North Central region: U.S. Geological Survey Scientific Investigations Report 2025–5018–B, 151 p., https://doi.org/10.3133/sir20255018B.","productDescription":"Report: xviii, 151 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-154862","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":504886,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20255018A","text":"SIR 2025-5018-A","linkHelpText":"Background, Methods, Goals, Challenges, Opportunities, and Information Needs"},{"id":504714,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5018/B/coverthb.jpg"},{"id":504715,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5018/B/sir20255018-B.pdf","text":"Report","size":"61.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5018-B"},{"id":504716,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PCQHA2","text":"USGS data release","description":"SIR 2025-5018-B data release","linkHelpText":"Broadly Shared Information Needs Among Grassland Managers in the North Central Region"}],"contact":"Regional Administrator, North Central Climate Adaptation Science Center
U.S. Geological Survey
University of Colorado - Boulder
Sustainability, Energy and Environment Community
4001 Discovery Dr., Suite 348
Boulder, CO 80303
In the United States, cooling-dominated commercial building loads can cause geothermal heat pump-based district energy systems to accumulate a long-term subsurface thermal imbalance, motivating the incorporation of seasonal underground thermal energy storage. We developed a transferable workflow to evaluate geothermal district systems that pair ground heat exchangers with seasonal underground thermal energy storage. Using standardized hourly loads for seven commercial buildings and a uniform cost framework, we simulated ten U.S. cities with a physics-based ground heat exchanger model, subsurface storage simulations, and economic assessment to isolate the roles of climate and hydrogeology. In cooling-dominated cities, underground thermal energy storage supplied the majority of annual cooling, cutting electricity use and summer peaks substantially while achieving levelized costs comparable to or below conventional chiller-boiler plants. In cooler climates, the storage share shrunk, required borefield size and costs rose, and levelized cost of energy increased nearly linearly with declining underground thermal energy storage fraction, indicating storage fraction as the primary economic lever. Sensitivity analysis showed capital risk dominated by borefield drilling and surface heating, ventilation, and air-conditioning and piping, with underground thermal energy storage costs secondary. This workflow provides a transparent foundation for site-specific design and screening of next-generation geothermal district energy systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.renene.2026.125540","usgsCitation":"Mello, S., Oh, H., Trainor-Guitton, W.J., Cahalan, R.C., Pepin, J.D., and Burns, E., 2026, Geothermal district energy systems coupled with seasonal underground thermal energy storage: A U.S. techno-economic screening by climate and geology: Renewable Energy, v. 271, 125540, 15 p., https://doi.org/10.1016/j.renene.2026.125540.","productDescription":"125540, 15 p.","ipdsId":"IP-183806","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":505043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.renene.2026.125540","text":"Publisher Index Page"},{"id":504946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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communities","interactions":[],"lastModifiedDate":"2026-06-01T13:56:29.395433","indexId":"70276343","displayToPublicDate":"2026-05-29T08:51:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Co-occurrence of pesticides and pharmaceuticals and personal care products (PPCPs) across Zostera marina (common eelgrass) communities","title":"Co-occurrence of pesticides and pharmaceuticals and personal care products (PPCPs) across Zostera marina (common eelgrass) communities","docAbstract":"Anthropogenic pressures are driving changes in eelgrass communities, which are altering baseline conditions in estuarine environments. Field detections have validated the transport of land-sourced pollutants to aquatic systems; however, studies rarely sample concurrently for pesticides, and pharmaceuticals and personal care products (PPCPs) across environmental compartments. Moreover, studies on contaminant uptake by eelgrass and associated species are even more limited. In collaboration with the Confederated Tribes of the Coos, Lower Umpqua and Siuslaw Indians (CTCLUSI), this study collected samples of water, eelgrass, clams, and sediment at sites of Tribal significance in Southern Oregon to test for organic contaminants (i.e., herbicides and pharmaceuticals). Paired sampling was conducted for analysis by the CTCLUSI in tandem with the United States Geological Survey (USGS) in order for the Tribe to develop analytical standards for future sampling efforts. Ten pesticides and eight pharmaceuticals were detected across the four sites, with the highest number of overall detections (27) at the Florence Marina site. The insecticide bifenthrin was most frequently detected across all media (0.012–1.565 μg/g organic carbon in sediment, 2.7–30 ng/g in organismal tissue) and the anti-diabetic agent metformin was the most detected PPCP in clam tissues (1.33–3.78 ng/g). Pesticides and PPCPs were observed to co-occur in eelgrass habitats, with numerous pesticide detections across media types. These findings demonstrate numerous routes of exposure for estuarine organisms which could be addressed with pharmaceutical disposal strategies or pesticide use restrictions near these habitats.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2026.119908","usgsCitation":"Tissot, A.G., Niessner, J.C., Granek, E.F., Brown, K., and Hladik, M.L., 2026, Co-occurrence of pesticides and pharmaceuticals and personal care products (PPCPs) across Zostera marina (common eelgrass) communities: Marine Pollution Bulletin, v. 231, 119908, 14 p., https://doi.org/10.1016/j.marpolbul.2026.119908.","productDescription":"119908, 14 p.","ipdsId":"IP-179711","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Coos Bay estuary, Siuslaw River estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.24478795433298,\n 43.43457841847609\n ],\n [\n -124.3973913382971,\n 43.43457841847609\n ],\n [\n -124.3973913382971,\n 43.2765459832344\n ],\n [\n -124.24478795433298,\n 43.2765459832344\n ],\n [\n -124.24478795433298,\n 43.43457841847609\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.1162674030572,\n 43.99953029917708\n ],\n [\n -124.0308931847648,\n 43.99953029917708\n ],\n [\n -124.0308931847648,\n 43.95215009258666\n ],\n [\n -124.1162674030572,\n 43.95215009258666\n ],\n [\n -124.1162674030572,\n 43.99953029917708\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"231","noUsgsAuthors":false,"publicationDate":"2026-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Tissot, Alexandra G.","contributorId":371617,"corporation":false,"usgs":false,"family":"Tissot","given":"Alexandra","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":962173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niessner, Janet C.","contributorId":371618,"corporation":false,"usgs":false,"family":"Niessner","given":"Janet","middleInitial":"C.","affiliations":[{"id":88193,"text":"Confederated Tribes of the Coos, Lower Umpqua, and Siuslaw Indians","active":true,"usgs":false}],"preferred":false,"id":962174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granek, Elise F.","contributorId":371619,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","middleInitial":"F.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":962175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Kimberly","contributorId":371620,"corporation":false,"usgs":false,"family":"Brown","given":"Kimberly","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":962176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276268,"text":"ofr20261017 - 2026 - Range-wide relative abundance of the Appalachian grizzled skipper (Pyrgus centaureae wyandot) in the Eastern United States","interactions":[],"lastModifiedDate":"2026-05-29T13:09:53.489973","indexId":"ofr20261017","displayToPublicDate":"2026-05-28T10:15:05","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":"2026-1017","displayTitle":"Range-Wide Relative Abundance of the Appalachian Grizzled Skipper (Pyrgus centaureae wyandot) in the Eastern United States","title":"Range-wide relative abundance of the Appalachian grizzled skipper (Pyrgus centaureae wyandot) in the Eastern United States","docAbstract":"The U.S. Fish and Wildlife Service has designated the Pyrgus centaureae wyandot (Appalachian Grizzled Skipper [AGS]) to be at-risk, based on its declining populations and the lack of information on its status. 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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261017","collaboration":"Maryland Department of Natural Resources; Michigan State University Extension; New Jersey Department of Environmental Protection; New York Natural Heritage Program; North Carolina Department of Natural and Cultural Resources; Ohio Department of Natural Resources; Western Pennsylvania Conservancy; U.S. Fish and Wildlife Service; Virginia Department of Conservation and Recreation; West Virginia Division of Natural Resources","usgsCitation":"Vyas, N.B., Selfridge, J., Cuthrell, D., Somes, R., White, E., Ratcliffe, J., Lynch, J., Hamon, L., Wyza, E., Leppo, B., Woods, P., Tur, A., Drummey, D., Nolan, K., Orcutt, E., Rapp, A., Card, L., Goldner, J., and Olcott, S., 2026, Range-wide relative abundance of the Appalachian grizzled skipper (Pyrgus centaureae wyandot) in the Eastern United States: U.S. Geological Survey Open-File Report 2026–1017, 57 p., 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\"}}]}","contact":"Center Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
Prescribed fire is a common approach to reduce fuels and mitigate fire hazards. The accumulation of live and dead fuels following initial treatment means that repeated application of prescribed fire could be used to maintain this benefit. However, the effect of repeated prescribed fires is not well documented in many dry coniferous forests in the western United States. Here, we present observations of changes in live trees and surface fuels following two prescribed fires in dry coniferous forests in national parks of California.
Changes in forest structure and accumulation of surface fuels were similar over time following initial-entry and second-entry fires. An exception was that repeated fires were associated with substantial reductions in stem density. There were smaller changes in live tree basal area and stem biomass.
Our results indicate that following initial-entry fires, subsequent burning maintained reductions in surface fuel loads without major inadvertent losses of live tree basal area and stem biomass, implying the survival of large trees.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-026-00479-3","usgsCitation":"van Mantgem, P., Wright, M.C., Farris, C.A., Engber, E., McClure, E., Caprio, A., and Keifer, M., 2026, Effects of repeat prescribed burning in dry coniferous forests in national parks of California: Fire Ecology, v. 22, 64, 12 p., https://doi.org/10.1186/s42408-026-00479-3.","productDescription":"64, 12 p.","ipdsId":"IP-156305","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":505044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00479-3","text":"Publisher Index Page"},{"id":504947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lava Beds National Monument, Lassen Volcanic National Park, Sequoia and Kings Canyon National Parks, Whiskeytown National Recreation Area), Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1080277,\n 38.048227194156595\n ],\n [\n -118.79094941920485,\n 38.048227194156595\n ],\n [\n -118.79094941920485,\n 37.130674\n ],\n [\n -120.1080277,\n 37.130674\n ],\n [\n -120.1080277,\n 38.048227194156595\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.137383,\n 36.994117430423145\n ],\n [\n -117.90254915270303,\n 36.994117430423145\n ],\n [\n -117.90254915270303,\n 35.5594697\n ],\n [\n -119.137383,\n 35.5594697\n ],\n [\n -119.137383,\n 36.994117430423145\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.7300358,\n 41.918368292356064\n ],\n [\n -121.2641104817198,\n 41.918368292356064\n ],\n [\n -121.2641104817198,\n 41.4876012\n ],\n [\n -121.7300358,\n 41.4876012\n ],\n [\n -121.7300358,\n 41.918368292356064\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.70837683858048,\n 40.8929042\n ],\n [\n -120.585063,\n 40.8929042\n ],\n [\n -120.585063,\n 40.30526774036363\n ],\n [\n -121.70837683858048,\n 40.30526774036363\n ],\n [\n -121.70837683858048,\n 40.8929042\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.7170431,\n 40.6657101\n ],\n [\n -122.4776842,\n 40.6657101\n ],\n [\n -122.4776842,\n 40.5463867\n ],\n [\n -122.7170431,\n 40.5463867\n ],\n [\n -122.7170431,\n 40.6657101\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2026-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farris, Calvin A.","contributorId":292802,"corporation":false,"usgs":false,"family":"Farris","given":"Calvin","email":"","middleInitial":"A.","affiliations":[{"id":63015,"text":"National Park Service, Division of Fire and Aviation Management, P.O. Box 1713, Klamath Falls, OR 97601, USA","active":true,"usgs":false}],"preferred":false,"id":962224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engber, Eamon","contributorId":202777,"corporation":false,"usgs":false,"family":"Engber","given":"Eamon","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClure, Emma J. 0009-0007-1285-4977","orcid":"https://orcid.org/0009-0007-1285-4977","contributorId":352134,"corporation":false,"usgs":false,"family":"McClure","given":"Emma J.","affiliations":[{"id":84121,"text":"National Park Service, Redwood National and State Parks","active":true,"usgs":false}],"preferred":false,"id":962226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caprio, Anthony C.","contributorId":35863,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony C.","affiliations":[],"preferred":false,"id":962227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keifer, MaryBeth","contributorId":194887,"corporation":false,"usgs":false,"family":"Keifer","given":"MaryBeth","email":"","affiliations":[],"preferred":false,"id":962228,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276319,"text":"70276319 - 2026 - Geochemical, mineralogical, and isotopic evidence for multi-stage genesis of the Hicks Dome REE + Y-HFSE-fluorite deposit, Illinois, USA","interactions":[],"lastModifiedDate":"2026-05-28T14:13:31.247592","indexId":"70276319","displayToPublicDate":"2026-05-27T09:02:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical, mineralogical, and isotopic evidence for multi-stage genesis of the Hicks Dome REE + Y-HFSE-fluorite deposit, Illinois, USA","docAbstract":"Hicks Dome hosts breccias enriched in rare earth elements (REE), Y, Th, F, Ba, Ti, Nb, and Be, alongside spatially associated lamprophyre dikes (ca. 271 Ma). Hicks Dome is located within the Illinois–Kentucky Fluorspar District, which hosts fluorite, Pb–Zn, and barite resources. This study investigates the genetic relationships between Hicks Dome mineralization in breccias, alkaline magmatism, and Illinois–Kentucky Fluorspar District mineralization. Lamprophyre dikes are light REE–enriched with chondrite-normalized abundances decreasing from La to Lu. The Host Breccia exhibits middle and heavy REE–enriched patterns that mirror those of the principal REE–Th host minerals, including fluorapatite, xenotime, and thorite. Textural evidence suggests recrystallization of phosphates, sulfates, and Ti–Nb oxides in the Host Breccia. U–Pb geochronology constrains multiple mineralizing events, with ages of 277 ± 18 Ma from low-Th apatite interpreted as main-stage mineralization, and 121.6 ± 9.7 Ma from high-Th apatite indicating later overprinting. O–H–C stable isotope data provide evidence for multiple stages of fluid-rock interaction and fluid mixing: (1) early magmatic fluids dissolved limestone country rock, (2) mixing between magmatic fluids and basinal brines led to main-stage mineralization in the Host Breccia, and (3) late-stage mineralization occurred following mixing of meteoric water and basinal brine. These results indicate that heavy REEs, high field strength elements, and fluorine precipitated proximal to its alkaline magmatic source because of fluid–rock interactions and fluid mixing. Subsequent fluid mixing drove late-stage recrystallization and additional fluorite formation, a process that may be similar to mineralization in the Illinois-Kentucky Fluorspar District.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2026.107328","usgsCitation":"McIntosh, J.A., Andersen, A.K., Bennett, M.M., Thompson, J.M., Johnson, C.A., Hofstra, A.H., and Nuelle, L., 2026, Geochemical, mineralogical, and isotopic evidence for multi-stage genesis of the Hicks Dome REE + Y-HFSE-fluorite deposit, Illinois, USA: Ore Geology Reviews, v. 194, 107328, 23 p., https://doi.org/10.1016/j.oregeorev.2026.107328.","productDescription":"107328, 23 p.","ipdsId":"IP-180590","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2026.107328","text":"Publisher Index Page"},{"id":504772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Hicks Dome","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.383333,\n 37.55\n ],\n [\n -88.3,\n 37.55\n ],\n [\n -88.3,\n 37.466667\n ],\n [\n -88.383333,\n 37.466667\n ],\n [\n -88.383333,\n 37.55\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"194","noUsgsAuthors":false,"publicationDate":"2026-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":962098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":962099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":962100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":962101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nuelle, Laurence","contributorId":371609,"corporation":false,"usgs":false,"family":"Nuelle","given":"Laurence","affiliations":[{"id":88191,"text":"Hicks Dome LLC","active":true,"usgs":false}],"preferred":false,"id":962104,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276326,"text":"70276326 - 2026 - Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2025","interactions":[],"lastModifiedDate":"2026-05-29T13:52:57.889658","indexId":"70276326","displayToPublicDate":"2026-05-27T08:46:24","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2025","docAbstract":"Fall bottom trawl (fall BT) and lakewide acoustic (AC) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan. The fall BT survey has been conducted each fall since 1973 using 12-m trawls at depths ranging from 9 to 110 m at fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species [i.e., Alewife (Alosa pseudoharengus), Bloater (Coregonus hoyi), Rainbow Smelt (Osmerus mordax), Deepwater Sculpin (Myoxocephalus thompsonii), Slimy Sculpin (Cottus cognatus), Round Goby (Neogobius melanostomus), Ninespine Stickleback (Pungitius pungitius)]. The AC survey has been conducted each late summer/early fall since 2004 (except 2020). The 2025 AC survey consisted of 26 transects [470 km total (292 miles)] covering bottom depths ranging from 5 to 259 m and 44 midwater trawl tows at 1.4 to 82.4 m fishing depth; this survey estimates densities of three prey fish species (i.e., Alewife, Bloater, and Rainbow Smelt). The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks.
For the AC survey, total biomass density of prey fish equaled 9.3 kg/ha, continuing a recent trend of index values above the long-term average of 5.4 kg/ha. For the fall BT, total biomass density of prey fish equaled 3.4 kg/ha, close to values observed since 2014 and well below historic numbers and those observed earlier in the 2000s. Over the period both surveys have been conducted (2004-2025), the total biomass density index had trended downward in the fall BT through the mid-2010s and appears to have stabilized at low values, while the AC survey biomass density index has remained relatively stable over the time series.
Mean biomass of yearling and older (YAO) Alewife was 4.3 kg/ha in the AC survey and 0.45 kg/ha in the fall BT. Since 2014, annual survey results suggest that the catchability of YAO Alewife for the fall BT is substantially lower than the AC survey. The 2025 AC survey YAO Alewife biomass density estimate was 57% higher than the average from 2004-2024. The Alewife population of Lake Michigan appears to be composed mostly of young fish and the proportion of age-4 and older Alewife was ~5% in both surveys. Age-0 Alewife numeric density from the AC survey was 259 fish/ha in 2025, lower than the long-term mean (487 fish/ha). Biomass density of large (≥120 mm) Bloater was 3.5 kg/ha in the AC survey and 1.9 kg/ha in the fall BT. The density of small (<120 mm) Bloater was 540 fish/ha in the AC survey, the second highest value in the time series. Meanwhile, small Bloater density estimated in the fall BT was only 6.1 fish/ha. Biomass density of large Rainbow Smelt (≥90 mm) was 0.69 kg/ha in the AC survey and 0.04 kg/ha in the fall BT survey. Numeric density of small (<90 mm) Rainbow Smelt was 541 fish/ha in the AC survey, the highest value in the time series, and 41 fish/ha in the fall BT. All four prey fish species indexed only by the fall BT had below-average biomass densities. Deepwater Sculpin biomass density was 0.21 kg/ha, which makes 15 of the past 16 years with biomass <1 kg/ha. Slimy Sculpin was estimated to be 0.03 kg/ha, an order of magnitude lower than the long-term average from the fall BT. Round Goby biomass density was 0.44 kg/ha and Ninespine Stickleback density was 0.20 kg/ha, the highest value since 2007.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Tingley, R.W., O’Brien, T.P., Madenjian, C.P., Esselman, P., Dieter, P., Phillips, K., Turschak, B., Hanson, D., and Farha, S.A., 2026, Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2025, 26 p.","productDescription":"26 p.","ipdsId":"IP-189835","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504860,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.6436767578125,\n 45.69083283645816\n ],\n [\n 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In response to the increased number of earthquakes in this region, rapid and accurate characterization of earthquake sources is necessary to understand the evolution of seismic activity and level of seismic hazard associated with these earthquakes. This study re-evaluates earthquake magnitudes, estimating moment magnitude (MW) for small earthquakes in the Delaware Basin using 1) moment-rate spectra derived from S-wave coda envelopes, and 2) a relative magnitude method that relies exclusively on the ratio of waveform amplitudes between highly correlated waveform pairs. The coda-envelope method produces accurate MW estimates for small earthquakes (M 1.5 – 3) that are consistent with independent, waveform modeled moment magnitudes for events with MW > 3. Using the relative amplitudes method to extend these MW magnitudes to many other events, we successfully provide relative moment magnitude (MW,rel) values for 81% of the Texas Seismological Network catalog in the Delaware Basin region, and 45% of the USGS Induced Seismicity Project’s catalog of events in southeast New Mexico. The adoption and integration of the calibrated MW,rel method with current magnitude estimation methods offers valuable insights into the relationships between local and moment magnitude and will contribute to improved characterization of widespread induced seismicity.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250246","usgsCitation":"Gable, S., Huang, Y., Shelly, D.R., and Rubinstein, J.L., 2026, Moment magnitude for small earthquakes in the Delaware basin of west Texas and southeast New Mexico, USA: Seismological Research Letters, 13 p., https://doi.org/10.1785/0220250246.","productDescription":"13 p.","ipdsId":"IP-183105","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":505047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250246","text":"Publisher Index Page"},{"id":504950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"southeast New Mexico, west Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.50900660650426,\n 32.93869833342073\n ],\n [\n -102.78073180819358,\n 32.861136118194196\n ],\n [\n -102.84970324032894,\n 30.88089004482086\n ],\n [\n -106.51434494246497,\n 30.96526183674557\n ],\n [\n -106.50900660650426,\n 32.93869833342073\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Gable, Sydney","contributorId":371633,"corporation":false,"usgs":false,"family":"Gable","given":"Sydney","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Yihe","contributorId":276214,"corporation":false,"usgs":false,"family":"Huang","given":"Yihe","email":"","affiliations":[{"id":56937,"text":"Univ Michigan","active":true,"usgs":false}],"preferred":false,"id":962205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":215341,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":962207,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275747,"text":"sir20265010 - 2026 - Continuous and high-resolution longitudinal profiles of the water surface and riverbed elevation for 282 miles of the Colorado River from Lees Ferry to Pearce Ferry, Arizona, 2021","interactions":[],"lastModifiedDate":"2026-05-26T18:25:26.706081","indexId":"sir20265010","displayToPublicDate":"2026-05-26T10:00:00","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":"2026-5010","displayTitle":"Continuous and High-Resolution Longitudinal Profiles of the Water Surface and Riverbed Elevation for 282 Miles of the Colorado River From Lees Ferry To Pearce Ferry, Arizona, 2021","title":"Continuous and high-resolution longitudinal profiles of the water surface and riverbed elevation for 282 miles of the Colorado River from Lees Ferry to Pearce Ferry, Arizona, 2021","docAbstract":"Longitudinal profiles of water surface and riverbed elevations capture key geomorphic characteristics that can be affected by water infrastructure and natural processes. Continuous water surface profiles of the Colorado River in Grand Canyon, a river influenced by two of the largest dams in the United States, have been measured infrequently. The water surface profile was first measured in 1923, 13 years before the completion of Hoover Dam, which impounded water into western Grand Canyon, and 40 years before the completion of Glen Canyon Dam, which affected streamflow and sediment supply for all of Grand Canyon. The water surface profile was next measured in 2000, 37 years after the completion of Glen Canyon Dam, although this profile did not include the segment affected by Hoover Dam. A continuous profile of riverbed elevations has never been published. Here, we present the first complete, coupled water surface and riverbed elevation profiles, collected in 2021 during a period of steady releases from Glen Canyon Dam. The profiles were constructed from positions and elevations measured by boat-based global navigation satellite systems and from bathymetry collected by multibeam sonar. Data collected by boat were supplemented by data from a photogrammetry-derived digital surface model that was created from concurrently collected aerial images. Independent measurements made by conventional total stations referenced to a common geodetic control network were used to evaluate accuracy of all measurements. The final water surface and riverbed elevation profiles improved the accuracy and precision reported for previous profiles. In this study, the mean absolute vertical accuracy of water surface elevations was 0.07 meter for 85 percent of river miles and 0.19 meter for 11 percent of river miles. For the remaining 4 percent of river miles, water surface elevations were interpolated between measured values. The profiles reported herein can be used for current assessment of Colorado River geomorphic conditions, quantification of changes in the river over time, and predictive modeling of river resources for potential future management scenarios.quantification of changes in the river over time, and predictive modeling of river resources for potential future management scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265010","usgsCitation":"Sartain, S.L., Kaplinski, M.A., Kohl, K., Chapman, K.A., Bransky, N.D., Sankey, J.B., and Grams, P.E., 2026, Continuous and high-resolution longitudinal profiles of the water surface and riverbed elevation for 282 miles of the Colorado River from Lees Ferry to Pearce Ferry, Arizona, 2021: U.S. Geological Survey Scientific Investigations Report 2026–5010, 40 p., https://doi.org/10.3133/sir20265010.","productDescription":"Report: vii, 40 p.; Data Release","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179784","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504710,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119446.htm","linkFileType":{"id":5,"text":"html"}},{"id":504453,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5010/sir20265010.pdf","text":"Report","size":"6.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5010 PDF"},{"id":504457,"rank":2,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265010/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5010 HTML"},{"id":504458,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5010/sir20265010.XML","description":"SIR 2026-5010 XML"},{"id":504459,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5010/images"},{"id":504460,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5010/coverthb.jpg"},{"id":504461,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P135FNFM","text":"USGS data release","linkHelpText":"Continuous and high-resolution profiles of the water surface and riverbed elevation for 282 miles of the Colorado River from Lees Ferry to Pearce Ferry, AZ, 2021—Data"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.415697136473,\n 36.90189262731032\n ],\n [\n -114.01161104871596,\n 36.90189262731032\n ],\n [\n -114.01161104871596,\n 35.51758910449131\n ],\n [\n -111.415697136473,\n 35.51758910449131\n ],\n [\n -111.415697136473,\n 36.90189262731032\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
We measured the elevation of 282 miles of the water surface and riverbed of the Colorado River in Grand Canyon, from Lees Ferry, Arizona, to Pearce Ferry, Ariz. We collected water surface and riverbed elevations during a period of steady releases from Glen Canyon Dam in 2021. We used multiple, concurrent methods to measure the elevation of the water surface and assessed error for each measurement method to use the most accurate data possible in the final elevation profile. The final water surface profile is measured to the centimeter every river hundredth mile, with vertical uncertainty less than or equal to 0.07 meter for 85 percent of the river and less than or equal to 0.19 meter for the remainder of the river. We collected bathymetry of the river centerline everywhere possible, which did not include rapids and shallow areas. This study is the third measurement of a complete water surface profile; the first was collected in 1923, 40 years before Glen Canyon Dam was completed, and the second was collected in 2000, 37 years after Glen Canyon Dam was completed. A continuous riverbed profile had not been collected previously.
","publicationDate":"2026-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Sartain, Shannon L. 0000-0003-2395-6825","orcid":"https://orcid.org/0000-0003-2395-6825","contributorId":290222,"corporation":false,"usgs":true,"family":"Sartain","given":"Shannon","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaplinski, Matthew A. 0000-0001-6232-8325","orcid":"https://orcid.org/0000-0001-6232-8325","contributorId":333646,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohl, Keith 0000-0001-6812-0373","orcid":"https://orcid.org/0000-0001-6812-0373","contributorId":371349,"corporation":false,"usgs":false,"family":"Kohl","given":"Keith","affiliations":[{"id":88119,"text":"NOAA, National Geodetic Survey, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":961629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Katherine A. 0009-0009-1806-6474 kchapman@usgs.gov","orcid":"https://orcid.org/0009-0009-1806-6474","contributorId":345014,"corporation":false,"usgs":true,"family":"Chapman","given":"Katherine","email":"kchapman@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bransky, Nathaniel D. 0000-0003-3113-7491","orcid":"https://orcid.org/0000-0003-3113-7491","contributorId":305709,"corporation":false,"usgs":true,"family":"Bransky","given":"Nathaniel","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":212943,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961633,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276396,"text":"70276396 - 2026 - Effects of warming on growth and leaf colonization by litter mat-forming fungi in a wet tropical forest in Puerto Rico","interactions":[],"lastModifiedDate":"2026-06-03T15:05:55.295457","indexId":"70276396","displayToPublicDate":"2026-05-24T07:56:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1045,"text":"Biotropica","active":true,"publicationSubtype":{"id":10}},"title":"Effects of warming on growth and leaf colonization by litter mat-forming fungi in a wet tropical forest in Puerto Rico","docAbstract":"Wet tropical forests are experiencing rising temperatures and increased frequency and intensity of extreme climatic events, such as cyclones, which can increase rates of soil erosion and surface runoff. Fungal litter mats, formed by agaric decomposer fungi, play a crucial role in stabilizing slopes, preventing erosion, and aiding nutrient cycling; however, little is known about how warming affects litter mat growth and function. We investigated two litter mat-forming fungi, Gymnopus johnstonii and Marasmius aff. crinis-equi, in warmed (+4°C above ambient) and control plots in the Luquillo Experimental Forest, Puerto Rico. Growth and time-to-leaf colonization were monitored over 6 weeks in spring (both species) and summer (G. johnstonii only). We hypothesized that warming would inhibit fungal mat growth and slow leaf colonization, particularly for G. johnstonii since it is drought sensitive. As expected, warming significantly reduced relative growth rates (RGR) in spring, though M. aff. crinis-equi showed slightly higher RGR than G. johnstonii. Leaf colonization was also delayed by 22% in warmed plots, with M. aff. crinis-equi colonizing leaves 4.3 times faster than G. johnstonii. There were significant seasonal differences in response to warming for G. johnstonii, with warming increasing RGR during the consistently wetter summer sampling period. Overall, warming led to significant inhibition of leaf colonization when conditions were dry, whereas there was a trend toward increased colonization in warm and wet conditions. Our findings suggest that warming, combined with drier conditions, is likely to suppress drought-sensitive fungal mat growth, reducing their ability to prevent nutrient and soil loss via erosion.
","language":"English","publisher":"Wiley","doi":"10.1111/btp.70201","usgsCitation":"Puentes, A.E., Lodge, D.J., Ortiz-Iglesias, D.A., Barreto-Vélez, T., Rubio-Lebrón, L.C., Chu, H.P., O'Connell, C.S., Reed, S., and Wood, T.E., 2026, Effects of warming on growth and leaf colonization by litter mat-forming fungi in a wet tropical forest in Puerto Rico: Biotropica, v. 58, no. 3, e70201, 11 p., https://doi.org/10.1111/btp.70201.","productDescription":"e70201, 11 p.","ipdsId":"IP-188043","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":505053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/btp.70201","text":"Publisher Index Page"},{"id":504965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","city":"Luquillo","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.74774638275966,\n 18.39550185948083\n ],\n [\n -65.69933410917939,\n 18.395502069992858\n ],\n [\n -65.6993445535559,\n 18.350550942876936\n ],\n [\n -65.74770534215118,\n 18.350567752943277\n ],\n [\n -65.74774638275966,\n 18.39550185948083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Puentes, Ari E.","contributorId":371754,"corporation":false,"usgs":false,"family":"Puentes","given":"Ari","middleInitial":"E.","affiliations":[{"id":88213,"text":"Department of Ecology and Evolutionary Biology, University of Tennessee-Knoxville, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":962311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lodge, D. 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Forest Service, International Institute of Tropical Forestry, Río Piedras, Jardin Botanico Sur, 1201 C. Ceiba, San Juan, 00926, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":962314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubio-Lebrón, Laura C.","contributorId":371757,"corporation":false,"usgs":false,"family":"Rubio-Lebrón","given":"Laura","middleInitial":"C.","affiliations":[{"id":88215,"text":"USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, USA; Ciudadanos del Karso, San Juan, Puerto Rico, USA","active":true,"usgs":false}],"preferred":false,"id":962315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chu, Hieu P.","contributorId":371746,"corporation":false,"usgs":false,"family":"Chu","given":"Hieu","middleInitial":"P.","affiliations":[{"id":88207,"text":"Department of Math, Stats and Computer Science, Macalester College, 1600 Grand Ave, St Paul, MN 55105, United States of America","active":true,"usgs":false}],"preferred":false,"id":962316,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Connell, Christine S.","contributorId":371758,"corporation":false,"usgs":false,"family":"O'Connell","given":"Christine","middleInitial":"S.","affiliations":[{"id":88216,"text":"Department of Environmental Studies, Macalester College, St. Paul, MN, USA; Biology Program, Chapman University, Orange, CA, USA","active":true,"usgs":false}],"preferred":false,"id":962317,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":962318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, Tana E.","contributorId":371759,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[{"id":88220,"text":"USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, USA","active":true,"usgs":false}],"preferred":false,"id":962319,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276395,"text":"70276395 - 2026 - Lowland tropical forests remain a methane sink under warming and long-term hurricane disturbance recovery","interactions":[],"lastModifiedDate":"2026-06-03T14:22:19.038808","indexId":"70276395","displayToPublicDate":"2026-05-23T09:14:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Lowland tropical forests remain a methane sink under warming and long-term hurricane disturbance recovery","docAbstract":"Methane (CH4) is a potent greenhouse gas, and tropical forests account for roughly one–third of global atmospheric CH4 uptake by soils. Projected warming and more frequent hurricanes in these ecosystems may alter soil CH4 sink strength, as warmer and wetter soils enhance methanogenesis activity. We measured soil CH4 and CO2 efflux during the calendar summer months of 2023 and 2024 alongside continuous records of soil moisture, soil and air temperature, and precipitation in an in–situ warming experiment (TRACE) located in a lowland tropical forest in Puerto Rico, six to seven years after Hurricanes Irma and Maria (2017). The realized warming (∼1.95°C) enhanced soil respiration only in summer 2023 (p < 0.05), but net soil CH4 uptake was invariant in both campaigns (p > 0.05). Instead, sampling day and between–plot variability explained soil CH4 dynamics much more than treatment contrasts. Importantly, CH4 uptake was consistently coupled to CO2 efflux, suggesting tight linkages between methanotrophic and heterotrophic activities. Between treatments, CH4 and CO2 responses to soil temperature variation were less sensitive in warmed plots, which may suggest weak metabolic upregulation under elevated temperatures. Together, these findings indicate that lowland tropical soils remain CH4 sink even under warming and years after hurricane disturbance, with CH4 dynamics driven more by spatial and temporal variability than experimental warming. Long–term, high–resolution monitoring integrating soil biogeochemistry and microbial processes will be critical to determine whether the observed net CH4 uptake signal represents a sustainable or transient response under continued warming and disturbance.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2026.111225","usgsCitation":"Larocca Conte, G., Zuvela, L., Cruz-Perez, R., Barreto-Vélez, T., Becerra-Santillan, N., Campbell, S.F., Chu, H.P., Dam, T., Grullón-Penkova, I.F., Kleit, M., Ortiz-Iglesias, D.A., Rubio-Lebrón, L.C., Cavaleri, M.A., Reed, S., Sihi, D., Wood, T.E., and O'Connell, C.S., 2026, Lowland tropical forests remain a methane sink under warming and long-term hurricane disturbance recovery: Agricultural and Forest Meteorology, v. 386, 111225, 19 p., https://doi.org/10.1016/j.agrformet.2026.111225.","productDescription":"111225, 19 p.","ipdsId":"IP-188749","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":505051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2026.111225","text":"Publisher Index Page"},{"id":504960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, Sabana Field Research Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.66450414218644,\n 18.4096612\n ],\n [\n -65.8397851,\n 18.4096612\n ],\n [\n -65.8397851,\n 18.3\n ],\n [\n -65.66450414218644,\n 18.3\n ],\n [\n -65.66450414218644,\n 18.4096612\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"386","noUsgsAuthors":false,"publicationDate":"2026-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Larocca Conte, Gabriele","contributorId":371740,"corporation":false,"usgs":false,"family":"Larocca Conte","given":"Gabriele","affiliations":[{"id":88199,"text":"Department of Biology, Schmid College of Science and Technology, Chapman University, 1 University Dr, Orange, CA 92866, USA","active":true,"usgs":false}],"preferred":false,"id":962296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuvela, Lucia","contributorId":371741,"corporation":false,"usgs":false,"family":"Zuvela","given":"Lucia","affiliations":[{"id":88200,"text":"Department of Environmental Studies, Macalester College, 1600 Grand Ave, St Paul, MN 55105, United States of America","active":true,"usgs":false}],"preferred":false,"id":962297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruz-Perez, Rachel","contributorId":371742,"corporation":false,"usgs":false,"family":"Cruz-Perez","given":"Rachel","affiliations":[{"id":88201,"text":"Department of Ecosystem Science and Management, Penn State, 201 Old Main, University Park, PA 16802, United States of America","active":true,"usgs":false}],"preferred":false,"id":962298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barreto-Vélez, Tatiana","contributorId":371743,"corporation":false,"usgs":false,"family":"Barreto-Vélez","given":"Tatiana","affiliations":[{"id":88204,"text":"U.S.D.A. 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Ceiba, San Juan, 00926, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":962307,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cavaleri, Molly A.","contributorId":371752,"corporation":false,"usgs":false,"family":"Cavaleri","given":"Molly","middleInitial":"A.","affiliations":[{"id":88210,"text":"College of Forest Resources and Environmental Science, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, United States of America","active":true,"usgs":false}],"preferred":false,"id":962308,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":962309,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sihi, Debjani","contributorId":371753,"corporation":false,"usgs":false,"family":"Sihi","given":"Debjani","affiliations":[{"id":88212,"text":"Departments of Plant and Microbial Biology and Crop and Soil Sciences, N.C. Plant Sciences Initiative, North Carolina State University, Raleigh, NC 27695, United States of America","active":true,"usgs":false}],"preferred":false,"id":962310,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wood, Tana E.","contributorId":197805,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[],"preferred":false,"id":962320,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"O'Connell, Christine S.","contributorId":371758,"corporation":false,"usgs":false,"family":"O'Connell","given":"Christine","middleInitial":"S.","affiliations":[{"id":88216,"text":"Department of Environmental Studies, Macalester College, St. Paul, MN, USA; Biology Program, Chapman University, Orange, CA, USA","active":true,"usgs":false}],"preferred":false,"id":962321,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70276280,"text":"70276280 - 2026 - Biochar modulates the dynamics of legacy nutrients in enhancing soil health and crop productivity","interactions":[],"lastModifiedDate":"2026-05-26T14:24:39.646272","indexId":"70276280","displayToPublicDate":"2026-05-22T09:17:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Biochar modulates the dynamics of legacy nutrients in enhancing soil health and crop productivity","docAbstract":"Most major crops in agricultural soils exhibit relatively low nutrient use efficiency for nitrogen (N), phosphorus (P), and potassium (K), often necessitating supplemental nutrient inputs to achieve sustainable yields. Furthermore, the increasing use of biowastes such as compost, manure, and biosolids, which frequently have nutrient ratios that do not match crop requirements, has contributed to excessive nutrient inputs and subsequent accumulation in soils. This situation has been further exacerbated by intensive farming practices involving multiple cropping cycles per season. Overuse of nutrients causes them to accumulate in the soil, creating a legacy nutrient pool. The application of biochar as soil amendment is considered a potential strategy to control legacy nutrients dynamics. The current review inspects the possible value of biochar in modulating legacy nutrient reserves in the soil, thereby increasing the bioavailability of nutrients and improving crop yield. This review discusses the search scope and synthesis approaches for the bibliometric methodological component through rigorous screening process (Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)), focusing on journal articles published in last 20 years that specifically address legacy nutrient management. The significance of the economic and environmental effects of legacy nutrients and the insufficient knowledge of how biochar application influences nutrient dynamics in soil highlight the necessity for additional research to address current gaps.
","language":"English","publisher":"MDPI","doi":"10.3390/land15060896","usgsCitation":"Kumar, M., Bolan, S., Kumar, R., Gupta, J., Chen, D., Wu, H., Stackpoole, S.M., Chandel, N., Mukherjee, S., Chandra Garg, M., Mayilswami, S., Siddique, K.H., and Bolan, N., 2026, Biochar modulates the dynamics of legacy nutrients in enhancing soil health and crop productivity: Land, v. 15, no. 6, 896, 38 p., https://doi.org/10.3390/land15060896.","productDescription":"896, 38 p.","ipdsId":"IP-178871","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":504809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land15060896","text":"Publisher Index Page"},{"id":504694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kumar, Manish 0000-0002-1444-5508","orcid":"https://orcid.org/0000-0002-1444-5508","contributorId":371510,"corporation":false,"usgs":false,"family":"Kumar","given":"Manish","affiliations":[{"id":88165,"text":"Amity Institute of Environmental Sciences (AIES), Amity University Uttar Pradesh (AUUP), Noida, India","active":true,"usgs":false}],"preferred":false,"id":961932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolan, Shiv","contributorId":371511,"corporation":false,"usgs":false,"family":"Bolan","given":"Shiv","affiliations":[{"id":88166,"text":"UWA School of Agriculture and Environment, The University of Western Australia, Perth, Western Australia 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":961933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Rakesh 0000-0001-7264-5682","orcid":"https://orcid.org/0000-0001-7264-5682","contributorId":371512,"corporation":false,"usgs":false,"family":"Kumar","given":"Rakesh","affiliations":[{"id":88167,"text":"Department of Biosystems Engineering, Auburn University, Auburn, Alabama, USA","active":true,"usgs":false}],"preferred":false,"id":961934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gupta, Juhi","contributorId":371513,"corporation":false,"usgs":false,"family":"Gupta","given":"Juhi","affiliations":[{"id":88165,"text":"Amity Institute of Environmental Sciences (AIES), Amity University Uttar Pradesh (AUUP), Noida, India","active":true,"usgs":false}],"preferred":false,"id":961935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Dingjiang","contributorId":371514,"corporation":false,"usgs":false,"family":"Chen","given":"Dingjiang","affiliations":[{"id":88168,"text":"College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China","active":true,"usgs":false}],"preferred":false,"id":961936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Hao","contributorId":254382,"corporation":false,"usgs":false,"family":"Wu","given":"Hao","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":961937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":211238,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandel, Nitika","contributorId":371516,"corporation":false,"usgs":false,"family":"Chandel","given":"Nitika","affiliations":[{"id":88171,"text":"School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan 173229, India","active":true,"usgs":false}],"preferred":false,"id":961940,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mukherjee, Santanu","contributorId":371515,"corporation":false,"usgs":false,"family":"Mukherjee","given":"Santanu","affiliations":[{"id":88171,"text":"School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan 173229, India","active":true,"usgs":false}],"preferred":false,"id":961939,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chandra Garg, Manoj","contributorId":371532,"corporation":false,"usgs":false,"family":"Chandra Garg","given":"Manoj","affiliations":[],"preferred":false,"id":961962,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mayilswami, Srinithi 0000-0002-9480-4522","orcid":"https://orcid.org/0000-0002-9480-4522","contributorId":371517,"corporation":false,"usgs":false,"family":"Mayilswami","given":"Srinithi","affiliations":[{"id":88172,"text":"Practical Environmental technologies Pvt Ltd, Site no. 40/41, Super Garden extension, Vadavalli, Coimbatore, Tamil Nadu, India - 641041","active":true,"usgs":false}],"preferred":false,"id":961941,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Siddique, Kadambot H. 0000-0001-6097-4235","orcid":"https://orcid.org/0000-0001-6097-4235","contributorId":371518,"corporation":false,"usgs":false,"family":"Siddique","given":"Kadambot","middleInitial":"H.","affiliations":[{"id":88173,"text":"The UWA Institute of Agriculture, The University of Western Australia, Perth, Western Australia 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":961942,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bolan, Nanthi 0000-0003-2056-1692","orcid":"https://orcid.org/0000-0003-2056-1692","contributorId":371519,"corporation":false,"usgs":false,"family":"Bolan","given":"Nanthi","affiliations":[{"id":88166,"text":"UWA School of Agriculture and Environment, The University of Western Australia, Perth, Western Australia 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":961943,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70276275,"text":"70276275 - 2026 - Tracking toxins: A pilot investigation of cyanotoxins in north-central Tennessee’s surface waters and wells","interactions":[],"lastModifiedDate":"2026-05-26T14:02:41.487505","indexId":"70276275","displayToPublicDate":"2026-05-22T08:56:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21640,"text":"Toxins","active":true,"publicationSubtype":{"id":10}},"title":"Tracking toxins: A pilot investigation of cyanotoxins in north-central Tennessee’s surface waters and wells","docAbstract":"Cyanobacterial toxins (cyanotoxins) threaten aquatic ecosystems and human health, yet the factors influencing their production and distribution in freshwater remain unclear. In north-central Tennessee, nutrient-rich runoff from agricultural and urban areas, combined with a karst landscape that supports drinking and recreational water use, heightens the need to understand cyanotoxin behavior. To examine cyanotoxin patterns, the U.S. Geological Survey and the Tennessee Department of Environment and Conservation monitored 18 sites, including two wells under the influence of surface water, every two weeks from September 2022 to November 2024. At least one cyanotoxin was detected at all sites, with the highest concentrations in deep reservoirs and lower levels in shallow systems. Most detections occurred during summer and fall, aligning with high temperatures and rapid-onset drought. Statistical analysis indicated that increased specific conductivity and pH raised the likelihood of detecting total microcystin, likely resulting from drought conditions and nutrient-laden runoff. Additionally, dissolved microcystin showed an inverse relationship with Cumberland River water levels, and principal component analysis showed that Secchi depth, chlorophyll a, pH, temperature, and conductivity explained most water quality variability. These results help increase understanding of cyanotoxin distribution and associated water quality conditions during detections to guide future freshwater cyanotoxin monitoring studies.
","language":"English","publisher":"MDPI","doi":"10.3390/toxins18060239","usgsCitation":"Hill, K., Jaegge, A., Moore, D.M., and Byl, T.D., 2026, Tracking toxins: A pilot investigation of cyanotoxins in north-central Tennessee’s surface waters and wells: Toxins, v. 18, no. 6, 239, 27 p., https://doi.org/10.3390/toxins18060239.","productDescription":"239, 27 p.","ipdsId":"IP-176988","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":504806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxins18060239","text":"Publisher Index Page"},{"id":504691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.2198843,\n 36.3818454\n ],\n [\n -86.7499179,\n 36.3854487\n ],\n [\n -86.2620481,\n 36.3782418\n ],\n [\n -86.25309635196582,\n 35.83582592918192\n ],\n [\n -87.22212220072319,\n 35.83582592918192\n ],\n [\n -87.2198843,\n 36.3818454\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Kristi Lynn 0000-0003-2771-0849","orcid":"https://orcid.org/0000-0003-2771-0849","contributorId":296396,"corporation":false,"usgs":true,"family":"Hill","given":"Kristi Lynn","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaegge, Andrea 0000-0002-4414-2620","orcid":"https://orcid.org/0000-0002-4414-2620","contributorId":371504,"corporation":false,"usgs":false,"family":"Jaegge","given":"Andrea","affiliations":[{"id":81602,"text":"Tennessee Department of Environment and Conservation","active":true,"usgs":false}],"preferred":false,"id":961925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Devin M.","contributorId":371505,"corporation":false,"usgs":false,"family":"Moore","given":"Devin","middleInitial":"M.","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":961926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byl, Thomas D. 0000-0001-6907-9149 tdbyl@usgs.gov","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":583,"corporation":false,"usgs":true,"family":"Byl","given":"Thomas","email":"tdbyl@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961927,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276302,"text":"70276302 - 2026 - Waves, watersheds, and sediment in a coral reef embayment: Towards parsimonious models of accumulation and composition","interactions":[],"lastModifiedDate":"2026-05-27T14:03:54.905785","indexId":"70276302","displayToPublicDate":"2026-05-22T08:55:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Waves, watersheds, and sediment in a coral reef embayment: Towards parsimonious models of accumulation and composition","docAbstract":"High sedimentation rates can damage coral reef ecosystems. Sedimentation rates are controlled by both sediment loads from watersheds and resuspension by waves and associated circulation patterns, but the outcomes are system specific and difficult to predict. The percent terrigenous (non-organic and non-carbonaceous) material in sediment is also often used as an indicator of watershed influence, but its dynamics are poorly understood. Sediment accumulation rates, particle size, and percent terrigenous were monitored quasi-monthly for one year (March 2014-April 2015) at nine sites in a coral reef-fringed embayment in American Samoa, where an aggregate quarry had increased sediment loads to the coast but mitigation reduced loads during the monitored period. Gross and net sediment accumulation rates were measured using sediment traps and SedPods (pods), respectively. Gross accumulation rates exceeded thresholds for impacts on coral health during at least one collection period at most sites, with more exceedances on the northern reef where water residence times and sediment availability are higher and corals show signs of sediment stress. Percent terrigenous of coarse sediment was higher in the traps and pods compared with the surrounding benthic sediment, indicating that some of the terrigenous sediment was advected through the bay without accumulating on the reef. The 95th percentile of hourly wave energy density (E95) taken from a global wave model (WaveWatch 3) was the best predictor of gross accumulation rates of both total and carbonate sediment in a log-log regression at most (n = 6) sites (R2 range 0.72-0.92), indicating a strong role of resuspension of benthic sediment. Gross accumulation rates of terrigenous sediment were not correlated with E95 and only correlated with SSY at the site nearest the stream mouth, indicating that most terrigenous sediment was not from resuspended benthic material but rather from a consistent watershed source. Percent terrigenous decreased with increasing wave energy due to high accumulation rates of carbonates during periods of high wave energy. Detection of the impact of sediment mitigation at the quarry on sediment accumulation was complicated by low wave energy in the period following mitigation. The use of gross accumulation rates and percent terrigenous as indicators of the magnitude and sources of sediment accumulation over time needs to account for wave-induced resuspension, which can be modelled with a simple power function using inputs from a global wave model.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2026.109952","usgsCitation":"Biggs, T., Messina, A., and Storlazzi, C.D., 2026, Waves, watersheds, and sediment in a coral reef embayment: Towards parsimonious models of accumulation and composition: Estuarine, Coastal and Shelf Science, no. 339, 109952, 16 p., https://doi.org/10.1016/j.ecss.2026.109952.","productDescription":"109952, 16 p.","ipdsId":"IP-176787","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2026.109952","text":"Publisher Index Page"},{"id":504731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"American Samoa, Faga'alu Bay, Tutuila Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.686,\n -14.286\n ],\n [\n -170.674,\n -14.286\n ],\n [\n -170.674,\n -14.296\n ],\n [\n -170.686,\n -14.296\n ],\n [\n -170.686,\n -14.286\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"339","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Biggs, Trent","contributorId":208268,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","affiliations":[],"preferred":false,"id":962036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messina, Alex","contributorId":174670,"corporation":false,"usgs":false,"family":"Messina","given":"Alex","email":"","affiliations":[],"preferred":false,"id":962037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":962038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276333,"text":"70276333 - 2026 - High-resolution transboundary vegetation community maps of the Sonoran and Mojave Desert ecoregion to support critical landscape conservation planning and habitat management needs","interactions":[],"lastModifiedDate":"2026-05-29T14:04:44.858669","indexId":"70276333","displayToPublicDate":"2026-05-22T08:54:15","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"High-resolution transboundary vegetation community maps of the Sonoran and Mojave Desert ecoregion to support critical landscape conservation planning and habitat management needs","docAbstract":"We produced a 30-m resolution binational land cover map of Bird Conservation Region 33 (BCR 33) for the U.S. North American Bird Conservation Initiative. The region covers large portions of the Sonoran and Mojave Deserts. The map can support the U.S. Fish and Wildlife Service (FWS) Migratory Bird Program’s recovery planning efforts and constitutes the first known binational land cover dataset spanning sections of the United States–Mexico border and using a consistent classification system for both countries. The mapped region includes 152 distinct land cover classes, covering a total area of 38,421,453 ha (148,345 mi2), of which 13,148,345 ha (52,706 mi2) are located in Mexico and 24,770,640 ha (95,639 mi2) in the United States.
We primarily used Landsat 8 (OLI) imagery, supplemented by limited ground surveys from two field campaigns, drone-based aerial data, and existing vegetation classification frameworks from both countries. The classification applied a data-fusion approach integrating 30-m Landsat 8 imagery, decadal phenology metrics from vegetation indices, and a random forest model trained mainly with datasets from a comprehensive national mapping project from the U.S. Geological Survey (USGS) GAP Analysis Project (GAP) and federal wildland fire agencies’ Landscape Fire and Resource Management Planning Tools (LANDFIRE) (GAP/LANDFIRE) [United States side] and the National Institute of Statistics and Geography (INEGI) [Mexico side] as well as land cover maps and opportunistic open-access and field observations.
Mapping of the full BCR 33 region was carried out in two phases: 1) Phase I, the prototype map, covered a smaller portion of the transboundary area and identified 31 land cover classes, and 2) Phase II, the full BCR 33 map (refer to Figure 1), which resulted in 152 land cover classes. Using a Random Forest classifier, we achieved an overall prediction accuracy of 92% for the Phase I map and 87% for the Phase II full region map. This slight decrease can be attributed to working on a larger, more complex area with a greater number of land cover classes. No formal validation was conducted, aside from using a subset of the collected field observations and training data to assess model performance during and after training. The training sites were further verified using Google Earth (Google, 2026) imagery. Two undergraduate students who worked for over a year visually inspected imagery and open access public images to confirm each training site during model training using in-house developed, online, visual tools. A portion of this field training data was reserved for model validation, and the corresponding results are to be presented in later sections.
The project developed an end-to-end, medium- and fine-resolution remote sensing–based data fusion mapping approach. This effort produced a map (Nagler et al., 2025) and the online tools to support a dynamic, live, online map for visualizing the transboundary vegetation communities in BCR 33. The toolset is currently hosted by the University of Arizona (UofA) Vegetation Index and Phenology (VIP) Lab to support FWS partners (https://vip.arizona.edu/viplab_data_explorer?LCM_BCR33). The online map is designed to allow rapid updates using new training, validation, or correction data, making it dynamic and maintainable.
The approach we took established a framework for rapid updating and correction of land cover maps, as the model can be quickly retrained with new field observations, updated training data, or other sources. This enables dynamic mapping and change detection of the region’s vegetation. This framework is an advance in data fusion and crowdsourced mapping of complex, vulnerable regions, providing support to regional stakeholders and the wider user community.
This transboundary map can inform the protection, conservation, and restoration of vegetation, habitat, and ecosystems, particularly for threatened and endangered species across the two nations using consistent and harmonized binational mapping systems. Beyond supporting land management decisions and stakeholders in the transboundary desert ecoregions, this BCR 33 mapping effort establishes a foundation for future rapid, low-cost, cross-border land cover mapping that can benefit and advance ecosystem management.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Nagler, P.L., Duberstein, J., Broska, J., Didan, K., and Traphagen, M.B., 2026, High-resolution transboundary vegetation community maps of the Sonoran and Mojave Desert ecoregion to support critical landscape conservation planning and habitat management needs: Cooperator Report, Report: 79 p.; Appendix.","productDescription":"Report: 79 p.; Appendix","ipdsId":"IP-170033","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504862,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iris.fws.gov/APPS/ServCat/Reference/Profile/178257"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Nevada, Sinaloa, Sonora","otherGeospatial":"Sonoran and Mojave Desert ecoregion","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.6219144,\n 24.5008461\n ],\n [\n -108.3403468,\n 26.2416244\n ],\n [\n -109.9404918,\n 28.3885241\n ],\n [\n -110.7895483,\n 33.3745204\n ],\n [\n -114.3490544,\n 37.6779633\n ],\n [\n -118.0391846,\n 38.0389224\n ],\n [\n -118.8882411,\n 35.5285396\n ],\n [\n -115.7206072,\n 32.1940187\n ],\n [\n -115.0674868,\n 30.2674399\n ],\n [\n -114.7409266,\n 30.2674399\n ],\n [\n -114.6429586,\n 31.6118369\n ],\n [\n -113.597966,\n 31.2775142\n ],\n [\n -113.2060937,\n 30.8299019\n ],\n [\n -112.8142215,\n 29.7584522\n ],\n [\n -111.6059488,\n 28.3885241\n ],\n [\n -111.0507964,\n 27.9278682\n ],\n [\n -110.4979306,\n 27.216354\n ],\n [\n -109.8448102,\n 26.7215756\n ],\n [\n -109.2570019,\n 26.3417564\n ],\n [\n -109.3549699,\n 25.7843897\n ],\n [\n -107.6219144,\n 24.5008461\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363785,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L","affiliations":[],"preferred":true,"id":962127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duberstein, Jennie N.","contributorId":342635,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jennie N.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broska, James","contributorId":371614,"corporation":false,"usgs":false,"family":"Broska","given":"James","affiliations":[{"id":88192,"text":"Assistant Regional Director, Science Applications, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":962129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":962131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Traphagen, Myles B.","contributorId":299076,"corporation":false,"usgs":false,"family":"Traphagen","given":"Myles","email":"","middleInitial":"B.","affiliations":[{"id":64759,"text":"Wildlands Network","active":true,"usgs":false}],"preferred":false,"id":962130,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276289,"text":"70276289 - 2026 - Rearing method has limited effect on post-release movement of reintroduced age-0 Lake Sturgeon","interactions":[],"lastModifiedDate":"2026-06-03T14:37:38.515382","indexId":"70276289","displayToPublicDate":"2026-05-22T08:41:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rearing method has limited effect on post-release movement of reintroduced age-0 Lake Sturgeon","docAbstract":"Overfishing, habitat loss, and pollution caused the extirpation of Lake Sturgeon (Acipenser fulvescens) throughout much of the Great Lakes. A Lake Sturgeon reintroduction program using two rearing strategies began in 2018 in the Maumee River, a tributary of Lake Erie. We assessed the movement of streamside or traditionally reared age-0 Lake Sturgeon using acoustic telemetry to determine if rearing strategy affected river residency, movement, and the habitat area used. Tagged sturgeon generally left the Maumee River for Lake Erie on average 3–47 days after stocking and spent most of their time in the western basin of Lake Erie. The majority of sturgeon moved through nearshore areas along the south shore of Lake Erie. While we found no differences in post-stocking movements or habitat area used between the two rearing strategies, understanding how older life stages respond to rearing strategy is needed. Adding upstream stocking sites, using source water to raise eggs or larvae if excessive straying becomes evident, and increased acoustic receiver coverage are options to facilitate and evaluate successful recovery of Lake Sturgeon.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0328","usgsCitation":"McKenna, J.R., Chiotti, J.A., Vandergoot, C.S., Kraus, R., Faust, M.D., Slagle, Z.J., Weimer, E.J., Cross, M.D., and Hintz, W.D., 2026, Rearing method has limited effect on post-release movement of reintroduced age-0 Lake Sturgeon: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, 13 p., https://doi.org/10.1139/cjfas-2025-0328.","productDescription":"13 p.","ipdsId":"IP-183390","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504963,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70276289/images/"},{"id":504962,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70276289/full"},{"id":504961,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70276289/70276289.XML"},{"id":504730,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie, Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.27194190387294,\n 41.7578525\n ],\n [\n -82.1528812,\n 41.7578525\n ],\n [\n -82.1528812,\n 41.2309989857614\n ],\n [\n -84.27194190387294,\n 41.2309989857614\n ],\n [\n -84.27194190387294,\n 41.7578525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, Jorden R.","contributorId":371533,"corporation":false,"usgs":false,"family":"McKenna","given":"Jorden","middleInitial":"R.","affiliations":[{"id":88176,"text":"US-FWS","active":true,"usgs":false}],"preferred":false,"id":961980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiotti, Justin A.","contributorId":371534,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin","middleInitial":"A.","affiliations":[{"id":88176,"text":"US-FWS","active":true,"usgs":false}],"preferred":false,"id":961981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergoot, Christopher S.","contributorId":371535,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":961982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faust, Matthew D.","contributorId":371536,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slagle, Zak J.","contributorId":371537,"corporation":false,"usgs":false,"family":"Slagle","given":"Zak","middleInitial":"J.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weimer, Eric J.","contributorId":371538,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","middleInitial":"J.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cross, Matthew D.","contributorId":371539,"corporation":false,"usgs":false,"family":"Cross","given":"Matthew","middleInitial":"D.","affiliations":[{"id":85203,"text":"Toledo Zoo","active":true,"usgs":false}],"preferred":false,"id":961987,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hintz, William D.","contributorId":371540,"corporation":false,"usgs":false,"family":"Hintz","given":"William","middleInitial":"D.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":961988,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276416,"text":"70276416 - 2026 - Effects of fipronil bait pellets on two cricetid species: Potential implications for plague mitigation and wildlife conservation","interactions":[],"lastModifiedDate":"2026-06-04T14:58:03.2037","indexId":"70276416","displayToPublicDate":"2026-05-22T07:47:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Effects of fipronil bait pellets on two cricetid species: Potential implications for plague mitigation and wildlife conservation","docAbstract":"We evaluated the effects of fipronil bait pellets on two cricetids that commonly occupy colonies of black-tailed prairie dogs (Cynomys ludovicianus; BTPDs): western deer mice (Peromyscus sonoriensis) and northern grasshopper mice (Onychomys leucogaster). In one experiment, bait pellets (0.96 mg fipronil/bait) were applied at 75 baits/ha to three 1.44-ha plots on a BTPD colony. Mouse abundance declined by 70% from before to 6-10 d after treatment. In a second experiment, bait pellets (0.46 or 1.52 mg fipronil/bait) were applied at 125 baits/ha to four plots (0.85-1.86 ha) on two BTPD colonies; two non-treated plots were baselines (1.09 and 2.06 ha). From before to 11-15 d after treatment, mouse abundance declined by 51%- 67% on the treated plots vs. a decline of 9% on the non-treated plots. Mouse survival from before to 11-15 d after treatment was 51% lower on the treated plots. In a third experiment, bait pellets (0.84 mg fipronil/bait) were applied at 125 baits/acre on two 1.44-ha plots on a BTPD colony; two 1.44-ha non-treated plots were baselines. Mouse survival from before to 30-44 d after treatment was 45% lower on the treated plots; the abundance of deer mice on the treated plots remained similar from before to 30-44 d after treatment, perhaps due to juvenile recruitment and/or immigration. In a laboratory experiment, 33 deer mice offered one bait pellet (0.86 mg fipronil/bait) consumed 27% of their bait, on average (range = 0-100%). Over 3 d, deer mouse mortality was estimated at 53%; mortality increased with fipronil dose, which averaged 11 mg fipronil/kg body mass (range = 3-46 mg/kg). Brain samples were available from 31 deer mice; all tested positive for fipronil sulfone, the primary mammalian metabolite of fipronil, at 19 to 61,205 ng fipronil sulfone/g. Additional experiments could determine if these findings scale up to larger landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2026.101239","usgsCitation":"Eads, D., Matchett, M.R., Livieri, T.M., Bowen, R.A., Hartwig, A.E., Porter, S., Wright, M.L., Fly, J., Hartlaub, M., Dobesh, P., Roghair, P., Childers, E., Hughes, J.P., Hladik, M.L., Dooley, G.P., Smith, B.J., LaCasse, R.A., Bly, K., and Biggins, D.E., 2026, Effects of fipronil bait pellets on two cricetid species: Potential implications for plague mitigation and wildlife conservation: International Journal for Parasitology: Parasites and Wildlife, v. 30, 101239, 8 p., https://doi.org/10.1016/j.ijppaw.2026.101239.","productDescription":"101239, 8 p.","ipdsId":"IP-185087","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":505056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2026.101239","text":"Publisher Index Page"},{"id":504996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park, Buffalo Gap National Grassland, Conata Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.04267080008232,\n 43.74864279609875\n ],\n [\n -102.52658012683477,\n 43.74965920358849\n ],\n [\n -102.52641374070147,\n 43.00190734602177\n ],\n [\n -104.04407516751215,\n 43.00194275417252\n ],\n [\n -104.04267080008232,\n 43.74864279609875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A.","contributorId":198976,"corporation":false,"usgs":false,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":962370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matchett, Marc R.","contributorId":365360,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livieri, Travis M.","contributorId":279912,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","middleInitial":"M.","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":962372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Richard A.","contributorId":297376,"corporation":false,"usgs":false,"family":"Bowen","given":"Richard","middleInitial":"A.","affiliations":[{"id":64386,"text":"Colorado State University, Department of Biomedical Sciences, 3107 Rampart Road, Fort Collins, Colorado 80523 USA","active":true,"usgs":false}],"preferred":false,"id":962373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartwig, Airn E.","contributorId":297373,"corporation":false,"usgs":false,"family":"Hartwig","given":"Airn","middleInitial":"E.","affiliations":[{"id":64383,"text":"Colorado State University, Department of Biomedical Sciences, 3107 Rampart Road, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":962374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Porter, Stephanie","contributorId":371801,"corporation":false,"usgs":false,"family":"Porter","given":"Stephanie","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Mary L.","contributorId":371802,"corporation":false,"usgs":false,"family":"Wright","given":"Mary","middleInitial":"L.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962376,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fly, Jason","contributorId":299225,"corporation":false,"usgs":false,"family":"Fly","given":"Jason","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hartlaub, Madisen","contributorId":371803,"corporation":false,"usgs":false,"family":"Hartlaub","given":"Madisen","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":962378,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dobesh, Phillip","contributorId":279889,"corporation":false,"usgs":false,"family":"Dobesh","given":"Phillip","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":962379,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roghair, Paul","contributorId":299231,"corporation":false,"usgs":false,"family":"Roghair","given":"Paul","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962380,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Childers, Eddie","contributorId":279890,"corporation":false,"usgs":false,"family":"Childers","given":"Eddie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962381,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hughes, John P.","contributorId":317320,"corporation":false,"usgs":false,"family":"Hughes","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":962382,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962383,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dooley, Gregory P.","contributorId":347021,"corporation":false,"usgs":false,"family":"Dooley","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962384,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, Brian J.","contributorId":223906,"corporation":false,"usgs":false,"family":"Smith","given":"Brian","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962385,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"LaCasse, Rachel A.","contributorId":371816,"corporation":false,"usgs":false,"family":"LaCasse","given":"Rachel","middleInitial":"A.","affiliations":[{"id":88225,"text":"National Insitute of Health","active":true,"usgs":false}],"preferred":false,"id":962386,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bly, Kristy","contributorId":279935,"corporation":false,"usgs":false,"family":"Bly","given":"Kristy","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":962387,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Biggins, Dean E.","contributorId":367942,"corporation":false,"usgs":false,"family":"Biggins","given":"Dean","middleInitial":"E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962388,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70276267,"text":"gip266 - 2026 - Critical minerals memory match game","interactions":[],"lastModifiedDate":"2026-05-22T14:41:55.858947","indexId":"gip266","displayToPublicDate":"2026-05-21T18:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"266","displayTitle":"Critical Minerals Memory Match Game","title":"Critical minerals memory match game","docAbstract":"An educational information packet about the 2025 List of Critical Minerals, which includes a memory match game about select critical minerals and how they are used.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/gip266","usgsCitation":"Olinger, D.A., 2026, Critical minerals memory match game: U.S. Geological Survey General Information Product 266, 4 p., https://doi.org/10.3133/gip266.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-186695","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/266/coverthb.jpg"},{"id":504593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/266/gip266.pdf","text":"Report","size":"7.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 266"}],"contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225-0046
People are exposed to mercury (Hg) through the consumption of fish. State and federal governments provide broad, often-generalized food safety guidance to reduce exposure; however, numerous rural fishing areas lack testing and location- or species-specific guidance. The aim of this study was to provide tangible, visible, or easily measured characteristics of Lake Trout Salvelinus namaycush that could convey information on Hg exposure to people harvesting and consuming fish where no location-specific guidance exists.
We investigated potential indicators of Lake Trout total Hg (THg) concentrations in muscle across 10 lakes in Alaska's national parks. Potential indicators, including lake, lake zone (i.e., littoral, pelagic, profundal), fish length, head size, body condition, and general appearance, were evaluated by competing linear mixed-effects models.
Lake Trout THg concentrations ranged widely from 22 to 1,306 ng/g wet weight. Much of the variation (48%) in THg concentrations was attributed to differences among individual lakes, but the interaction of the fish's lake zone, body length, and head size accounted for an additional 21%. Predicted THg concentrations increased with Lake Trout length and head : body proportion, but the rate of THg concentration increase with length varied by head : body proportion and lake zone.
Given the overwhelming evidence of high lake-to-lake variability in Lake Trout THg concentrations, we find support for use of lake-specific guidance when data are available. When lake-specific THg concentrations are not available, the best potential way to reduce exposure is to harvest and consume Lake Trout with mean predicted THg concentrations that are within state and federal safe consumption guidelines. This included Lake Trout from surface waters (i.e., pelagic or littoral zone) that are ≤70 cm in length; if harvesting fish from deep waters (i.e., profundal zone), lower THg concentrations were found in Lake Trout with heads ≤25% of their body length. The indicators—lake zone, length, and head size—of Lake Trout THg concentrations can provide harvesters with additional information in the absence of data for specific lakes.
Translocations have been widely used to restore and conserve bighorn sheep (Ovis canadensis) populations in North America. Some translocations have been successful, but many populations remain small and genetically isolated. Population structure can influence the viability and long-term success of reintroductions. Social ungulates often function as interconnected subpopulations (metapopulations); however, few studies evaluate subpopulation sizes, connectivity, and genetic diversity within metapopulations. To address this gap, we conducted a comprehensive study of a reintroduced Rocky Mountain bighorn sheep (Ovis canadensis canadensis) population in Dinosaur National Monument in Colorado and Utah, USA, between 2006–2020. We analyzed global positioning system (GPS) radio-collar data, genetic samples, and results of health testing to evaluate abundance, distribution, genetic structure and diversity, habitat use, movement and connectivity, and presence of or exposure to respiratory pathogens. We integrated these analyses to evaluate the outcomes of a reintroduction effort that began in 1952, over 70 years ago, and to inform management decisions in Dinosaur National Monument. We also provide a framework for evaluating metapopulation processes, including a non-invasive approach that links genetic structure with Bayesian spatial capture-recapture analyses to estimate subpopulation sizes. Despite models indicating continuous suitable habitat, we found a spatially structured population with at least 4 subpopulations with constrained connectivity. Evidence from step selection and density analyses suggested that movement among subpopulations may be limited by semi-permeable barriers including rivers and human disturbance, which could contribute to maintenance of spatial structure over time. In 2006, antibody to Mycoplasma ovipneumoniae was detected in all geographically and genetically distinct subpopulations. Widespread clinical signs of disease and a confirmed exposure to M. ovipneumoniae in 2019 indicate a long-term disease challenge. Proximity to domestic sheep creates repeated opportunities for introduction of new M. ovipneumoniae strains. We estimated abundance in 2019 at 109 (95% CrI = 87–133), composed of subpopulations ranging from 18–39 animals (95% CrIs from 11–50). Genetic diversity was relatively high compared to other reintroduced and native Rocky Mountain bighorn sheep populations, which is likely a consequence of multiple translocations from different sources. Three of 4 subpopulation centers generally aligned with the locations of original translocation release sites. Persistence in the presence of pathogens may be facilitated by metapopulation structure and moderately high genetic diversity. Conversely, metapopulation structure can also facilitate pathogen persistence. Our approach offers a path to advance understanding of the population ecology of reintroduced bighorn sheep and can inform effective conservation and management of their populations.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wmon.70011","usgsCitation":"Carroll, S., Flesch, E.P., Scoresby, S., Spencer, E., Crowhurst, R.S., Epps, C.W., Galloway, N., Janousek, W.M., and Graves, T., 2026, Ecology of reintroduced Rocky Mountain bighorn sheep in Dinosaur National Monument: Wildlife Monographs, https://doi.org/10.1002/wmon.70011.","ipdsId":"IP-170036","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":504813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wmon.70011","text":"Publisher Index Page"},{"id":504734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","otherGeospatial":"Dinosaur National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.68629167900906,\n 43.55694885042547\n ],\n [\n -104.42518255194071,\n 43.55694885042547\n ],\n [\n -104.42518255194071,\n 38.60536698151091\n ],\n [\n -110.68629167900906,\n 38.60536698151091\n ],\n [\n -110.68629167900906,\n 43.55694885042547\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Carroll, Sarah Louise 0000-0002-5391-7627","orcid":"https://orcid.org/0000-0002-5391-7627","contributorId":352227,"corporation":false,"usgs":true,"family":"Carroll","given":"Sarah Louise","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flesch, Elizabeth P 0000-0002-7592-8124","orcid":"https://orcid.org/0000-0002-7592-8124","contributorId":222685,"corporation":false,"usgs":false,"family":"Flesch","given":"Elizabeth","email":"","middleInitial":"P","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":961990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scoresby, Salix","contributorId":352228,"corporation":false,"usgs":false,"family":"Scoresby","given":"Salix","affiliations":[{"id":84134,"text":"Contractor, USGS (Northern Arizona University)","active":true,"usgs":false}],"preferred":false,"id":961991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Emily","contributorId":292165,"corporation":false,"usgs":false,"family":"Spencer","given":"Emily","email":"","affiliations":[],"preferred":false,"id":961992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crowhurst, Rachel S.","contributorId":198153,"corporation":false,"usgs":false,"family":"Crowhurst","given":"Rachel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":961993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Epps, Clinton W.","contributorId":359530,"corporation":false,"usgs":false,"family":"Epps","given":"Clinton","middleInitial":"W.","affiliations":[{"id":85841,"text":"Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Nash Hall Room 104, Corvallis, OR, 97331, USA","active":true,"usgs":false}],"preferred":false,"id":961994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galloway, Nathan L.","contributorId":271191,"corporation":false,"usgs":false,"family":"Galloway","given":"Nathan L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":961995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Janousek, William Michael 0000-0003-3978-1775","orcid":"https://orcid.org/0000-0003-3978-1775","contributorId":237980,"corporation":false,"usgs":true,"family":"Janousek","given":"William","email":"","middleInitial":"Michael","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961997,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276282,"text":"70276282 - 2026 - Modeling the seasonality of wind-driven hydrocarbon waves in Titan’s polar lakes","interactions":[],"lastModifiedDate":"2026-05-27T13:31:02.903319","indexId":"70276282","displayToPublicDate":"2026-05-21T09:25:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the seasonality of wind-driven hydrocarbon waves in Titan’s polar lakes","docAbstract":"Titan, the only body in the solar system aside from Earth with standing liquids on its surface, has polar hydrocarbon lakes and seas. As Titan’s atmosphere generates light winds, there should be waves on the surface of these lakes and seas, yet, direct wave observations are scant. We introduce and use PlanetWaves, an open source 4D spectral wave model, to study Titan’s waves and create seasonal maps of wave shape and propagation on Ontario Lacus and Ligeia Mare. Titan’s modeled waves grow up to 30 times larger than terrestrial waves for the same wind speed, are seasonally present and are largest in the spring and summer when winds are strongest. Average daily winds almost never exceed the wave generation threshold of 0.5–0.7 m/s. Average storm winds (∼1.5 m/s) generate waves 15–48 cm in height with a period ranging 6–10.5 s while maximum storm winds (∼4 m/s) generate waves 2.7–3.2 m in height with a period up to 32 s. Titan’s waves become fetch-independent at ∼40 km for average storm winds occurring ∼1% of a Titan year and ∼100 kilometers for maximum storm winds occurring 2-3 times per Titan decade. On Ontario Lacus, storm winds blow nearly parallel to the eastern shore, potentially driving wave modification of the smooth eastern shoreline. On Ligeia Mare, waves rarely propagate toward a hypothesized wave modified shoreline suggesting that another process, such as tectonics, may contribute to a straight shoreline morphology.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2026JE009693","usgsCitation":"Detelich, C.E., Schneck, U.G., Hayes, A.G., Curcic, M., Palermo, R.E., Ashton, A.D., Perron, J.T., Lora, J.M., and Steckloff, J., 2026, Modeling the seasonality of wind-driven hydrocarbon waves in Titan’s polar lakes: JGR Planets, v. 131, no. 6, e2026JE009693, 26 p., https://doi.org/10.1029/2026JE009693.","productDescription":"e2026JE009693, 26 p.","ipdsId":"IP-185621","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504810,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2026je009693","text":"Publisher Index Page"},{"id":504695,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"131","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Detelich, Charlene E.","contributorId":371520,"corporation":false,"usgs":false,"family":"Detelich","given":"Charlene","middleInitial":"E.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":961946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneck, Una G.","contributorId":371521,"corporation":false,"usgs":false,"family":"Schneck","given":"Una","middleInitial":"G.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Alexander G.","contributorId":371522,"corporation":false,"usgs":false,"family":"Hayes","given":"Alexander","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":961948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curcic, Milan","contributorId":371523,"corporation":false,"usgs":false,"family":"Curcic","given":"Milan","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":961949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palermo, Rose Elizabeth 0000-0002-7438-361X","orcid":"https://orcid.org/0000-0002-7438-361X","contributorId":300046,"corporation":false,"usgs":true,"family":"Palermo","given":"Rose","email":"","middleInitial":"Elizabeth","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ashton, Andrew D.","contributorId":371524,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","middleInitial":"D.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":961951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perron, J. Taylor","contributorId":371526,"corporation":false,"usgs":false,"family":"Perron","given":"J.","middleInitial":"Taylor","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961953,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lora, Juan M.","contributorId":371525,"corporation":false,"usgs":false,"family":"Lora","given":"Juan","middleInitial":"M.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":961952,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steckloff, Jordan","contributorId":371527,"corporation":false,"usgs":false,"family":"Steckloff","given":"Jordan","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":961954,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275769,"text":"fs20263010 - 2026 - The Great Lakes Geologic Mapping Coalition—Working collaboratively to understand the geology of the Great Lakes Region","interactions":[],"lastModifiedDate":"2026-05-26T18:37:48.030145","indexId":"fs20263010","displayToPublicDate":"2026-05-20T13:25:18","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3010","displayTitle":"The Great Lakes Geologic Mapping Coalition—Working Collaboratively to Understand the Geology of the Great Lakes Region","title":"The Great Lakes Geologic Mapping Coalition—Working collaboratively to understand the geology of the Great Lakes Region","docAbstract":"The Great Lakes Geologic Mapping Coalition (GLGMC), commonly referred to as the “Coalition,” is a partnership between the U.S. Geological Survey (USGS), the U.S. States of Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, and Wisconsin and the Canadian province of Ontario. The member States receive funding for geologic mapping work from the USGS National Cooperative Geologic Mapping Program (NCGMP), whereas Ontario participates as a nonfunded partner. The mission of the GLGMC is to produce three-dimensional (3D) geologic maps that depict unconsolidated sediments and near-surface bedrock in the Great Lakes region of North America. Geologic maps are the basis of most earth science investigations and help support resource exploration (energy, minerals, groundwater), natural hazard mitigation, infrastructure development, and land-use planning, all of which can be used to advance economic development and strengthen national security in the Great Lakes region.
During the last few million years, the Great Lakes region has experienced repeated glacial advances and retreats, leaving behind extensive sediments, abundant natural resources, and widespread effects on the underlying bedrock geology (Swezey and others, 2022). Linked by shared histories of past glaciations, industrial agriculture, and legacy automotive, coal, steel, and manufacturing industries, the GLGMC member States collaborate to improve the understanding of the 3D distribution of the sediments overlying the region’s bedrock (fig. 1). Developing a comprehensive subsurface 3D framework of this glaciated terrain can provide earth science data to policymakers at all levels. These insights facilitate informed decisions on the exploration, use, and protection of vital resources, such as critical minerals, industrial materials, and aquifers, thereby supporting economic prosperity and the well-being of the citizens of this region.
Since its inception in 1998, the Coalition has completed more than 100 geologic mapping projects across the Great Lakes region. Each project aims to deliver geologic maps, 3D datasets, and other information that improves understanding of the geology of the Great Lakes region, with an emphasis on economic and water resources. Key deliverables include 3D geologic maps and models typically portraying sediment thickness, often derived from top-of-bedrock and borehole data. These products are developed through a combination of fieldwork, subsurface modeling, and the collection and analysis of rock and sediment cores.
To support Coalition goals, member States collaborate with scientists working on related STATEMAP, EDMAP, and FEDMAP projects. Coalition scientists also engage with Tribal Nations in the Great Lakes region to ensure that Tribal interests pertaining to Coalition work are addressed. Through this collaboration, the Coalition unites the efforts of State, Federal, and Tribal Nation stakeholders to advance geologic data production and enhance understanding of the geologic resources of the Great Lakes region.
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12201 Sunrise Valley Drive, Mail Stop 913
Reston, VA 20192