Many inland waters are shrinking due to shifts in climate and water diversion for human uses. As they dry out, their exposed sediments emit large amounts of carbon dioxide (CO2) to the atmosphere. However, current global estimates of CO2 emissions from dry inland waters are derived exclusively from bare sediment dark-chamber measurements that do not account for the colonization of desiccated areas by vegetation. To understand the impact of vegetation on CO2 emissions from dry sediments, we analyzed 164 dry inland water bodies across five climatic regions and five inland water body types (lakes, ponds, reservoirs, streams and wetlands). On average, within vegetated zones, vegetation occupied 47 ± 35% in measured biomass quadrants. Light-induced decreases in instantaneous CO2 emissions in vegetated dry sediments were lower (mean ± SD = −3.7 ± 12.9 mmol CO2 m−2 hr−1) than increases during dark conditions (14.7 ± 20.1 mmol CO2 m−2 hr−1). Diel (24-hr) CO2 emissions from dry, vegetated sediments (mean ± SD = 100 ± 261 mmol CO2 m−2 d−1) were 25% lower than in bare sediments (133 ± 245 mmol CO2 m−2 d−1). These results indicate that vegetation can partially off-set sediment respiration, although the magnitude of this effect is insufficient to switch dry beds from net sources to net sinks of carbon.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GB008801","usgsCitation":"Sharma, K., Brothers, S., Bernal, S., Catalán, N., Keller, P., Koschorreck, M., Kosten, S., Leigh, C., von Schiller, D., Pastor, A., Larrañaga, A., Ari, A., Camacho-Santamans, A., Grinham, A., Lupon, A., Linkhorst, A., Elosegi, A., Obrador, B., Eyre, B.D., Trochine, C., Muniz, C.C., Feijoo, C., Duvert, C., Moreno-Ostos, E., Garcia, E.J., Oliveria, E.S., Cuassolo, F., Fernandez, H.R., Yeo, J., Oakes, J., Paranaíba, J.R., Pegg, J., Anselmo, J., Montes-Perez, J.J., van den Heuvel, L., Ran, L., Wilkinson, L.L., Gomez-Gener, L., Arroita, M., Shanafield, M., Gultemirian, M.L., Arce, M.I., Cobo, M., Sanchez-Montoya, M.M., Barros, N., Wells, N., Karakaya, N., Erturk Ari, P., Struik, Q., Aben, R., Rimas, R., Kumar, S., Bansal, S., Sarkar, S., Rodriguez-Gomez, S., Huang, T., Silverthorn, T., Datry, T., Diaz Villanueva, V., and Marce, R., 2026, Net CO2 emissions from dry inland waters persist in the presence of vegetation: Global Biogeochemical Cycles, v. 40, no. 3, e2025GB008801, 17 p., https://doi.org/10.1029/2025GB008801.","productDescription":"e2025GB008801, 17 p.","ipdsId":"IP-180179","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":501672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gb008801","text":"Publisher Index Page"},{"id":501450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharma, K.","contributorId":367754,"corporation":false,"usgs":false,"family":"Sharma","given":"K.","affiliations":[],"preferred":false,"id":957646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, 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The sulfates range in composition from barite to celestine and locally occur with sparse sulfide minerals. We investigate the origin of sulfur enrichment and the occurrence of sulfur-bearing minerals in the Mountain Pass carbonatite with in-situ sulfur isotope and mineral chemistry. Barite cores with δ34S of 1 to 3‰ do not coexist with sulfides, whereas celestine rims with δ34S of > 3‰ are associated with sulfides with δ34S < -10‰. We propose a model in which sulfur-bearing sediments were subducted during episodes of plate convergence in the Mojave Province that preceded Mountain Pass magmatism. Metasomatism of the overlying mantle by melts derived from the subducted sediments generated an unusually carbon- and sulfur-rich source to yield carbonatite magmas. Sulfur from primary carbonatite magmas and ~ 1 to 7% sulfur from subducted sediment melts yielded a slightly enriched δ34S composition (relative to depleted mantle δ34S of -1‰) for early crystallizing barite. Celestine rims on magmatic barite cores formed at low, hydrothermal temperatures (< 350 °C) based on S isotope thermometry for equilibrium celestine-galena and celestine-pyrite pairs. The sparse sulfides in the carbonatite stock are not in equilibrium with the primary barite cores and therefore do not permit S isotope thermometry estimates of magmatic temperatures. The S/Se ratios of sulfide minerals (> 3,400) typically exceed primitive mantle values (S/Se of 3,340), also consistent with their derivation from hydrothermal fluids. Trace occurrences of sulfide and sulfate minerals in alkaline silicate stocks related to the carbonatite stock have similar δ34S compositions and yield similarly low formation temperatures, suggesting regionally extensive and chemically similar sulfur-bearing hydrothermal fluids that imparted lithologically diverse rocks with a consistent sulfur isotope fingerprint.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-026-01438-3","usgsCitation":"Benson, E.K., Watts, K., Pribil, M.J., Thompson, J.M., and Lowers, H.A., 2026, Insights into Mountain Pass carbonatite formation from in-situ sulfur isotopes and geochemistry of sulfate and sulfide minerals: Mineralium Deposita, 25 p., https://doi.org/10.1007/s00126-026-01438-3.","productDescription":"25 p.","ipdsId":"IP-179323","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-026-01438-3","text":"Publisher Index Page"},{"id":501457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mountain Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.24550849872043,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 35.963211671328224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957626,"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":957627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, 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":957628,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274251,"text":"sir20265126 - 2026 - Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","interactions":[],"lastModifiedDate":"2026-03-23T18:16:34.529968","indexId":"sir20265126","displayToPublicDate":"2026-03-20T12:25:00","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":"2026-5126","displayTitle":"Estimation of Impounded Sediment Volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","title":"Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","docAbstract":"The Enloe Dam was built in 1920 for hydropower generation and impounds a steep-banked, narrow reach of the Similkameen River in north-central Washington. During the subsequent century, sediment from the Similkameen River watershed, which includes historical mining operations, accumulated within Enloe Dam’s impoundment. Enloe Dam ceased hydropower production in 1958 and is currently under consideration for removal, but there are concerns that the remobilization of sediments may have harmful impacts on downstream water quality. To complement previously published analyses of heavy metal concentrations within sediments and assess the total volume that may be transported following dam removal, this report presents estimates of the volume of sediment trapped behind Enloe Dam which was measured in 2020. The volume of sediment was estimated by comparing a bathymetric survey, collected using an acoustic Doppler continuous profiler, and a survey of the bedrock-sediment interface, collected using a continuous resistivity profiler.
The study area spanned a 2.6-kilometer reach of the Similkameen River upstream from Enloe Dam. The volume of impounded sediment was calculated in 2020 by subtracting the elevation of the bedrock-sediment interface measured using the continuous resistivity profiler from a bathymetric surface measured by the acoustic Doppler current profiler. In 2020, the estimated volume of sediment impounded by Enloe Dam was 2.17±0.04 million cubic meters (Mm3) compared to 1.37 Mm3 measured in 1971. This equates to a deposition rate of approximately 16,300 cubic meters per year from 1971 to 2020. Continuous resistivity profiles revealed that bedrock within Enloe Dam’s impoundment was deepest (about 20 m) in the southern, downstream end of the profiles and shallowest (less than 5 m) in the northern upstream end of the profiles.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265126","collaboration":"Prepared in cooperation with the Confederated Tribes of the Colville Reservation","usgsCitation":"Headman, A.O., Wilkerson, O.A., Curran, C.A., and Gendaszek, A.S., 2026, Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington: U.S. Geological Survey Scientific Investigations Report 2026–5126, 24 p., https://doi.org/10.3133/sir20265126.","productDescription":"Report: v, 24 p.; 2 Data Releases","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-144072","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":501399,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119320.htm","linkFileType":{"id":5,"text":"html"}},{"id":501344,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NUBE8","text":"USGS data release","linkHelpText":"Continuous resistivity profiling (CRP) in the Similkameen River above Enloe Dam, Okanogan County, Washington"},{"id":501338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5126/coverthb.jpg"},{"id":501339,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5126/sir20265126.pdf","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5126 PDF"},{"id":501343,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VI2ZIX","text":"USGS data release","linkHelpText":"Sediment volume and bedrock of the Similkameen River above Enloe Dam near Oroville, Washington"},{"id":501340,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265126/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5126 HTML"},{"id":501341,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5126/sir20265126.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5126 XML"},{"id":501342,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5126/images/"}],"country":"United States","state":"Washington","county":"Okanogan County","otherGeospatial":"lower Similkameen River upstream from Enloe Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.52897239705791,\n 48.98921327416954\n ],\n [\n -119.52897239705791,\n 48.95605821757019\n ],\n [\n -119.49191341839283,\n 48.95605821757019\n ],\n [\n -119.49191341839283,\n 48.98921327416954\n ],\n [\n -119.52897239705791,\n 48.98921327416954\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
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Pervasive chemical weathering on stable cratons may form thick regoliths and elemental enrichment, but constraining the age of regolith formation is challenging. In this study we utilize multiple geochronological techniques on different minerals from the world-class Mount Weld rare earth element (REE) deposit, formed by lateritic weathering of a carbonatite, to constrain the age of formation and provide insight into landscape evolution. The oldest dates, ca. 100 to 38 Ma, are from Lu-Hf dating of churchite [HREE(PO4)·2(H2O)], a heavy REE phosphate mineral. Growth bands on individual minerals show a younging outwards. 40Ar/39Ar geochronology of cryptomelane [K(Mn4+,Mn2+)₈O₁₆] yielded dates from ca. 40 to 27 Ma. Similarly, (U-Th)/He geochronology of goethite [FeO(OH)] yielded dates ranging from ca. 45 to 19 Ma.
Integrating results into regional constraints, suggests 1) churchite formed by mineral saturation in a karst-like setting below the water table from ca. 100 to 40 Ma, 2) with minor uplift and erosion, cryptomelane and goethite formed at or near the water table between ca. 45 and 19 Ma, 3) after ca. 15 to 10 Ma chemical weathering within the profile had ended. Other studies document that the region experienced minimal uplift and a wet, warm climate from ca. 100 Ma to 15 Ma. These conditions and the high carbonate content of the carbonatite promote extensive chemical weathering, a deep weathering profile, and the preservation of the weathered section. This study highlights the use of multiple geochronological techniques utilizing different minerals to provide insight into how laterites form and to constrain the timing and history of the formation of this important mineral deposit.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2026.123326","usgsCitation":"Verplanck, P.L., Mercer, C.M., Thompson, J.M., Danišík, M., Lowers, H.A., Morgan, L.E., and Bhat, G., 2026, Utilization of multiple geochronology techniques to constrain the age of laterization and mineralization of the world-class Mount Weld rare earth element deposit, Western Australia: Chemical Geology, v. 709, 123326, 19 p.; Data Release, https://doi.org/10.1016/j.chemgeo.2026.123326.","productDescription":"123326, 19 p.; Data Release","ipdsId":"IP-178073","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502215,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P138SMEV","linkFileType":{"id":5,"text":"html"}},{"id":501478,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501685,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2026.123326","text":"Publisher Index Page"}],"country":"Australia","otherGeospatial":"Western Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 113.32192697285603,\n -18.55510584054609\n ],\n [\n 113.32192697285603,\n -35.16051771148953\n ],\n [\n 127.2170611077915,\n -35.16051771148953\n ],\n [\n 127.2170611077915,\n -18.55510584054609\n ],\n [\n 113.32192697285603,\n -18.55510584054609\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"709","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":957629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":957631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danišík, Martin 0000-0003-3909-6102","orcid":"https://orcid.org/0000-0003-3909-6102","contributorId":361709,"corporation":false,"usgs":false,"family":"Danišík","given":"Martin","affiliations":[{"id":86336,"text":"Curtin University, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":957632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957634,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bhat, Ganesh","contributorId":329666,"corporation":false,"usgs":false,"family":"Bhat","given":"Ganesh","email":"","affiliations":[{"id":78683,"text":"Lynas Rare Earths Ltd","active":true,"usgs":false}],"preferred":false,"id":957635,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275038,"text":"70275038 - 2026 - Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","interactions":[],"lastModifiedDate":"2026-04-13T15:05:16.761878","indexId":"70275038","displayToPublicDate":"2026-03-20T10:01:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23283,"text":"Environmental Research: Water","active":true,"publicationSubtype":{"id":10}},"title":"Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","docAbstract":"Consistent, large-scale estimates of water availability are needed to identify and avoid potential conflicts among human and ecosystem uses of water. We present an assessment of water limitation, defined as the monthly balance (difference) between water supply (ws) and human consumptive water use (wc), for the conterminous United States (CONUS) during water years 2010–2020. We estimate that 26.7 million Americans, 8% of CONUS population, live in areas with chronic high or severe water limitation. Although ws greatly exceeds wc at the CONUS scale, water is limited locally or regionally due to spatial and temporal patterns in climate and wc. Our water limitation metric, the monthly supply and use index (SUI), peaked in 2012 during a widespread drought when 38% of the CONUS land area experienced elevated water stress. The central and Southwestern U.S. experienced the highest SUI due to the combination of low ws and high wc, especially for irrigation. Spatial overlays of SUI and fish habitat ranges, including those of conservation concern, revealed that several species had notable proportions of their habitat exposed to high or severe water limitation during spawning season over the modeled time period, especially the Arkansas River shiner. ws was calculated from two CONUS, physically-based, hydrologic models while wc was calculated from three CONUS models of water use for crop irrigation, thermoelectric power generation, and public supply. The ws and wc values were routed through a stream network and compared to calculate water limitation and SUI for human populations and fish species at the scale of 12-digit hydrologic unit codes. Evaluation of water availability at higher spatial and temporal resolution promotes more comprehensive analyses of the drivers of water availability and can be combined with complementary studies of water quality and water limiting thresholds to better understand the limitations on water availability.
","language":"English","publisher":"IOP Science","doi":"10.1088/3033-4942/ae4d7e","usgsCitation":"Stets, E.G., Cashman, M.J., Miller, O.L., Powlen, K., Martinez, A., Padilla, J., and Archer, A.A., 2026, Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States: Environmental Research: Water, v. 2, 025001, 18 p., https://doi.org/10.1088/3033-4942/ae4d7e.","productDescription":"025001, 18 p.","ipdsId":"IP-183005","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/3033-4942/ae4d7e","text":"Publisher Index Page"},{"id":502745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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PROSPER nonperennial stream classifications may be considered generally reliable in arid regions relative to other ecoregions within the Pacific Northwest study area but less reliable for high elevation mountain regions and larger streams and rivers. More than 75% of NHDPlusHR classifications may be considered reliable when evaluating reliability based on approximate climate conditions associated with the year that the NHDPlus HR classification was assigned. The decision procedure is reproducible, flexible to varying criteria of end user applications, and is intended to help provide cost saving opportunities for land managers by providing information for more strategic field verification of streamflow class determination based on available yet imperfect data sources.
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Typically, climate change vulnerability assessments (CCVAs) evaluate three components: exposure, sensitivity, and adaptive capacity. Adaptive capacity, defined as the ability of a species to adjust to changing conditions, provides critical insight into how species may persist under future scenarios and can strengthen conservation planning by highlighting opportunities for resilience and targeted management strategies. Trait-based approaches offer a promising path for managers to operationalize adaptive capacity by identifying measurable biological and ecological traits that influence climate change response strategies. However, these insights are rarely integrated into broader vulnerability frameworks that support conservation decision making. We build on previous research to synthesize current understanding of adaptive capacity for three freshwater taxa in North America: fishes, mussels, and crayfishes. Our objectives were to: (1) assess the relevance of adaptive capacity factors for fishes, mussels, and crayfishes; (2) identify key opportunities and gaps in linking trait-based information into adaptive capacity assessments; and (3) illustrate how incorporating adaptive capacity can enhance management decisions for freshwater species under climate change. We used an expert workshop, literature review, and case studies to identify relevant adaptive capacity factors, assess available information, and evaluate inclusion in management contexts. We found that all three taxa had sufficient information to inform adaptive capacity assessments. In addition to existing adaptive capacity factors, we identified Morphology as an important yet underutilized cross-cutting diagnostic category when information was limited. By explicitly linking trait-based approaches with adaptive capacity frameworks, we offer practical guidance for improving climate adaptation strategies and prioritizing management actions for freshwater biodiversity under accelerating global change.
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awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":957592,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Westhoff, Jacob Thomas 0000-0002-2347-5098","orcid":"https://orcid.org/0000-0002-2347-5098","contributorId":288958,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"Thomas","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":957593,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70274247,"text":"dr1219 - 2026 - Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 Data Summary","interactions":[],"lastModifiedDate":"2026-03-20T16:56:45.130236","indexId":"dr1219","displayToPublicDate":"2026-03-20T07:27:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1219","displayTitle":"Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 Data Summary","title":"Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 Data Summary","docAbstract":"We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) along Bull Creek, Haskell Creek, and the Los Angeles River (Sepulveda Dam project area) in Los Angeles County, California, in 2025. Four vireo surveys were completed between April 16 and July 2, 2025, and three flycatcher surveys were completed between May 21 and July 2, 2025. We found 11 territorial male vireos, 4 of which were confirmed as paired, and 3 transient vireos. Of the 11 territorial vireos, 6 were detected along the Los Angeles River, 3 along Haskell Creek, and 2 along Bull Creek. Forty-three percent of vireos were detected in habitat characterized as mixed willow riparian, and most vireos were detected in habitat with greater than 50-percent native plant cover. No flycatchers were observed in the Sepulveda Dam project area in 2025.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1219","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Allen, L., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Sepulveda Dam Basin, Los Angeles County, California—2025 data summary: U.S. Geological Survey Data Report 1219, 7 p., https://doi.org/10.3133/dr1219.","productDescription":"vi, 7 p.","numberOfPages":"7","onlineOnly":"Y","ipdsId":"IP-183448","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1219/coverthb.jpg"},{"id":501300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1219/dr1219.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1219 PDF"},{"id":501301,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1219/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1219 HTML"},{"id":501302,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1219/dr1219.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1219 XML"},{"id":501303,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1219/images"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Sepulveda Dam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.51999625652957,\n 34.18688849159706\n ],\n [\n -118.51999625652957,\n 34.16368403373161\n ],\n [\n -118.46625895917532,\n 34.16368403373161\n ],\n [\n -118.46625895917532,\n 34.18688849159706\n ],\n [\n -118.51999625652957,\n 34.18688849159706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
We surveyed for Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) at five survey areas within the City of Carlsbad Preserve, Carlsbad, California, in 2025. Three flycatcher surveys were completed between May 16 and June 30, 2025. One transient flycatcher was observed at the Lake Calavera survey area in the City of Carlsbad Preserve in 2025.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1223","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Allen, L.D., and Kus, B.E., 2026, Southwestern Willow Flycatcher (Empidonax traillii extimus) surveys at the city of Carlsbad Preserve, San Diego County, California—2025 data summary: U.S. Geological Survey Data Report 1223,\n12 p., https://doi.org/10.3133/dr1223.","productDescription":"vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-182732","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501298,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1223/images"},{"id":501297,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1223/dr1223.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1223 XML"},{"id":501296,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1223/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1223 HTML"},{"id":501295,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1223/dr1223.pdf","text":"Report","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1223 PDF"},{"id":501294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1223/coverthb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"City of Carlsbad Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.377308461014,\n 33.193661270823796\n ],\n [\n -117.377308461014,\n 33.10266370263524\n ],\n [\n -117.25583692207024,\n 33.10266370263524\n ],\n [\n -117.25583692207024,\n 33.193661270823796\n ],\n [\n -117.377308461014,\n 33.193661270823796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo), Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher), and Coastal California Gnatcatchers (Polioptila californica californica; gnatcatcher) at the Carbon Canyon Dam study area near Brea, California, in 2025. Four gnatcatcher and vireo surveys were completed between April 22 and June 25, 2025, and three flycatcher surveys were completed between May 15 and June 25, 2025.
We detected 14 territorial male vireos, 12 of which were paired. We also detected a transient vireo. Juvenile vireos were observed in two territories during surveys. Of the five vireo nests incidentally located during surveys, three were parasitized by Brown-headed Cowbirds (Molothrus ater). Vireos were reported in four habitat types: (1) mixed willow riparian, (2) riparian scrub, (3) upland, and (4) non-native vegetation. The dominant tree species in vireo territories was Goodding’s black willow (Salix gooddingii). Most vireo territories (12) were in habitat with greater than 50-percent native vegetation. The most common exotic species in vireo territories was poison hemlock (Conium maculatum). No flycatchers or gnatcatchers were observed during surveys.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1221","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus), Southwestern Willow Flycatchers (Empidonax traillii extimus), and Coastal California Gnatcatchers (Polioptila californica californica) at the Carbon Canyon Dam, Orange County, California—2025 data summary: U.S. Geological Survey Data Report 1221, 11 p., https://doi.org/10.3133/dr1221.","productDescription":"vi, 11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-183132","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501287,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1221/coverthb.jpg"},{"id":501288,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1221/dr1221.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1221 PDF"},{"id":501289,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1221/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1221 HTML"},{"id":501290,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1221/dr1221.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1221 XML"},{"id":501291,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1221/images"}],"country":"Unted States","state":"California","county":"Orange County","otherGeospatial":"Carbon Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.84688454153519,\n 33.92960059426852\n ],\n [\n -117.84688454153519,\n 33.904524714665456\n ],\n [\n -117.81718931471414,\n 33.904524714665456\n ],\n [\n -117.81718931471414,\n 33.92960059426852\n ],\n [\n -117.84688454153519,\n 33.92960059426852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Methane is a potent greenhouse gas that plays an important role in atmospheric chemistry and global warming. The current global methane budget has large uncertainties, and a better understanding of the budget would help to guide strategies for reducing anthropogenic emissions to fight climate change. Natural geologic methane emissions are a particularly poorly constrained source, with top-down estimates from 14C in ice cores suggesting much lower geologic emissions than bottom-up scaling of direct flux measurements. Our study aims to contribute to resolving this discrepancy through improved bottom-up characterization of geologic methane seepage in the San Juan Basin in southwestern Colorado and northwestern New Mexico, USA. We performed 983 new flux chamber measurements in this basin during summer 2022 and winter 2023 field campaigns. Our results, in combination with prior measurements, suggest that natural seepage in the San Juan Basin only occurs on or near the Fruitland coal outcrop. Specifically, our new measurements confirm previous measurements of seepage along the northwestern exposure of the Fruitland outcrop in Colorado (a known hydrodynamic overpressure region) and for the first time, identified seepage locations along the southernmost Fruitland outcrop exposure in New Mexico, in association with a coal cleat and a fault. Overall, seepage along the Fruitland coal outcrop is heterogeneously distributed, with both positive and negative (interpreted as microbial soil sink) methane fluxes. Features that are hypothesized to be predictive of seepage (e.g., faults) were not associated with positive methane fluxes in areas outside of the Fruitland outcrop. Our best estimate for total geologic methane seepage in the San Juan Basin from spatial interpolation and statistical upscaling is approximately 0.14 Tg CH4/yr, with a range from 0.029 to 0.48 Tg CH4/yr. This best-estimate value is lower than a previous bottom-up estimate from a gridded seepage inventory, but higher than a previous top-down estimate.
","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.2025.00061","usgsCitation":"Scholer, M., Hall, K.R., Weber, T.S., Buursink, M., Zhu, M., Ihle, A.C., Hencmann, D., Smith, A.M., Anthony, K.W., and Petrenko, V.V., 2026, Bottom-up characterization of geologic methane emissions in the San Juan Basin in the southwestern USA: Elementa: Science of the Anthropocene, v. 14, no. 1, 00061, 22 p., https://doi.org/10.1525/elementa.2025.00061.","productDescription":"00061, 22 p.","ipdsId":"IP-172178","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":502089,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.2025.00061","text":"Publisher Index Page"},{"id":502013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.5689454607876,\n 37.40107713040729\n ],\n [\n -108.82473788846157,\n 37.40107713040729\n ],\n [\n -108.85098927466855,\n 35.182844028063656\n ],\n [\n -106.5837118655294,\n 35.193551773194685\n ],\n [\n -106.5689454607876,\n 37.40107713040729\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Scholer, Margaret","contributorId":369198,"corporation":false,"usgs":false,"family":"Scholer","given":"Margaret","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Kathleen R.","contributorId":365776,"corporation":false,"usgs":false,"family":"Hall","given":"Kathleen","middleInitial":"R.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Thomas S.","contributorId":369199,"corporation":false,"usgs":false,"family":"Weber","given":"Thomas","middleInitial":"S.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":958601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Mingzhe","contributorId":365779,"corporation":false,"usgs":false,"family":"Zhu","given":"Mingzhe","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ihle, Alexander C.","contributorId":369200,"corporation":false,"usgs":false,"family":"Ihle","given":"Alexander","middleInitial":"C.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hencmann, Devin","contributorId":369202,"corporation":false,"usgs":false,"family":"Hencmann","given":"Devin","affiliations":[{"id":87736,"text":"Ensolum, LLC, Durango, CO 81301","active":true,"usgs":false}],"preferred":false,"id":958604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Andrew M.","contributorId":369204,"corporation":false,"usgs":false,"family":"Smith","given":"Andrew","middleInitial":"M.","affiliations":[{"id":87737,"text":"Australian Nuclear Science and Technology Organisation, Sydney, Australia, NSW 2234","active":true,"usgs":false}],"preferred":false,"id":958605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anthony, Katey W.","contributorId":369205,"corporation":false,"usgs":false,"family":"Anthony","given":"Katey","middleInitial":"W.","affiliations":[{"id":87218,"text":"University of Alaska Fairbanks, Fairbanks, AK 99775-5910","active":true,"usgs":false}],"preferred":false,"id":958606,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petrenko, Vasilii V.","contributorId":365781,"corporation":false,"usgs":false,"family":"Petrenko","given":"Vasilii","middleInitial":"V.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":958607,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274581,"text":"70274581 - 2026 - Constraining source and path effects of large magnitude earthquakes using ground motion simulations","interactions":[],"lastModifiedDate":"2026-04-01T17:30:17.899683","indexId":"70274581","displayToPublicDate":"2026-03-19T10:24:20","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Constraining source and path effects of large magnitude earthquakes using ground motion simulations","docAbstract":"The purpose of this study is to use ground‐motion simulations to investigate ways in which source and path effects for large‐magnitude earthquakes can be represented in nonergodic ground‐motion models (GMMs). To achieve this, we designed a ground‐motion study in the San Francisco Bay Area that includes earthquakes with a broad range of magnitudes distributed uniformly on a fault plane, and sites covering a large range of rupture distances and azimuths. After running a large suite of kinematic simulations (magnitude 4–7), we then develop a nonergodic GMM with the simulated data. We find that trends in the within‐site residuals are affected significantly by the earthquake radiation pattern, rupture directivity, and slip patterns. Next, we modify an existing rupture directivity model to fit and remove the observed radiation pattern and rupture directivity from the residuals. We also minimize the contributions of slip patterns by averaging the within‐site residuals among multiple source realizations. Finally, after removing the source effects from the within‐site residuals, we compare the path effects computed with different magnitude groups using two approaches. The first approach only considers the small events that have the same shortest path to a site as the large events, whereas the second approach considers all small events on the fault plane. The results indicate that it is difficult to satisfactorily approximate the path effects of large events with those of small events using either approach, at least in the case of simulations.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120250161","usgsCitation":"Meng, X., Graves, R., and Goulet, C.A., 2026, Constraining source and path effects of large magnitude earthquakes using ground motion simulations: Bulletin of the Seismological Society of America, 19 p., https://doi.org/10.1785/0120250161.","productDescription":"19 p.","ipdsId":"IP-180707","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.17098655449547,\n 39.4081868475823\n ],\n [\n -124.17098655449547,\n 36.13153010429927\n ],\n [\n -120.37323428562047,\n 36.13153010429927\n ],\n [\n -120.37323428562047,\n 39.4081868475823\n ],\n [\n -124.17098655449547,\n 39.4081868475823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Meng, Xiaofeng","contributorId":350798,"corporation":false,"usgs":false,"family":"Meng","given":"Xiaofeng","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":958367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulet, Christine A 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":336587,"corporation":false,"usgs":true,"family":"Goulet","given":"Christine","email":"","middleInitial":"A","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958369,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274203,"text":"ofr20261067 - 2026 - Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation","interactions":[],"lastModifiedDate":"2026-04-03T15:40:49.693596","indexId":"ofr20261067","displayToPublicDate":"2026-03-19T10:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1067","displayTitle":"Field Performance Evaluation of a Bayluscide 20-Percent Suspension Concentrate Formulation","title":"Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation","docAbstract":"Petromyzon marinus (sea lamprey) is a parasitic, invasive fish of the Laurentian Great Lakes. Since the late 1950s, the Great Lakes Fishery Commission has implemented an integrated Sea Lamprey Control Program (SLCP) that relies on two lampricidal chemicals: 3-(trifluoromethyl)-4-nitrophenol (TFM) and niclosamide. Niclosamide is applied using a bayluscide 20-percent emulsifiable concentrate; however, a solvent in this formulation, N-methyl-2-pyrrolidone, has been linked with worker safety concerns and has contributed to equipment degradation and clogging. To address these limitations, the U.S. Geological Survey, in collaboration with Battelle UK, developed a bayluscide 20-percent suspension concentrate (SC) as a potential alternative formulation.
In this study, we evaluated the field performance of SC on the Indian River in Schoolcraft County, Michigan. The objective was to assess the formulation’s compatibility with SLCP application procedures and equipment, and to determine its ability to deliver precise lampricide concentrations in a timely manner. SC was found to dilute easily with stream water and readily combined with TFM. As a result, target lampricide concentrations in the stream were achieved within 1 hour of initiating delivery. Moreover, concentrations remained within 9 percent of target values, with less than 2 percent variation across the width of the stream, demonstrating consistent and uniform distribution. These findings indicate that SC can support accurate and timely lampricide applications. When considered alongside previous research highlighting its favorable selectivity for sea lamprey and improved environmental safety, the results support the pursuit of registration and adoption of SC as a new tool for controlling invasive sea lamprey.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261067","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service Sea Lamprey Control Program","usgsCitation":"Carmosini, N., Schueller, J.R., Kirkeeng, C.A., Wood, A.M., Criger, L.A., and Luoma, J.A., 2026, Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation (ver. 1.1, March 19, 2026): U.S. Geological\nSurvey Open-File Report 2026–1067, 9 p., https://doi.org/10.3133/ofr20261067.","productDescription":"Report: vii, 9; Data Release","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177724","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":500972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1067/coverthb2.jpg"},{"id":500976,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1067/images/"},{"id":500975,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1067/ofr20261067.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1067 XML"},{"id":500973,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1067/ofr20261067.pdf","size":"961 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1067 PDF"},{"id":500974,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261067/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1067 HTML"},{"id":500977,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1ZIEH77","text":"USGS Data Release","linkHelpText":"Evaluation of bayluscide 20% suspension concentrate formulation field performance (Indian River, Schoolcraft County, MI)"},{"id":501267,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2026/1067/versionHist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Michigan","county":"Schoolcraft County","otherGeospatial":"Indian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.25,\n 45.98\n ],\n [\n -86.25,\n 45.97\n ],\n [\n -86.23,\n 45.97\n ],\n [\n -86.23,\n 45.98\n ],\n [\n -86.25,\n 45.98\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: March 17, 2026; Version 1.1: March 19, 2026","contact":"Center Director, Upper Midwest Ecological Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
This report presents a new three-dimensional geologic framework model (GFM) of the northern Great Plains region, encompassing parts of Montana, North Dakota, South Dakota, and Wyoming. The model provides a regionally consistent, geographic information system (GIS)-ready representation of Phanerozoic sedimentary strata, major fault systems, and Precambrian basement geometry across two sedimentary basins and adjacent uplifts. More than 300,000 geologic and geophysical data inputs were synthesized to model 41 stratigraphic horizons and 47 faults, yielding an internally coherent, sealed-volume interpretation of the subsurface. The modeling workflow developed for this study demonstrates an efficient and scalable approach for constructing basin-to regional-scale GFMs in geologically complex and data-variable settings. Although model fidelity varies with data density and quality, the resulting geometry is broadly consistent with 1:500,000-scale geologic mapping and highlights areas where additional geologic study is most needed. The three-dimensional GFM provides a foundational framework to support groundwater, energy, and mineral resource assessments, and offers a transferable methodology for potential future U.S. Geological Survey efforts to build large-area subsurface models in underexplored regions of the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265127","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Spangler, L.R., 2026, A three-dimensional geologic framework model of the northern Great Plains region of Montana, North Dakota, South Dakota, and Wyoming, USA: U.S. Geological Survey Scientific Investigations Report 2026–5127, 51 p., https://doi.org/10.3133/sir20265127.","productDescription":"Report: viii, 51 p.; 7 Plates: 40.15 x 40.82 inches: 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-169097","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501169,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13RSCBV","text":"USGS data release","linkHelpText":"Digital database of a 3D Geological Model of the Powder River Basin and Williston Basin Regions, USA"},{"id":501167,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5127/coverthb.jpg"},{"id":501292,"rank":12,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5127/images"},{"id":501170,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LK4QHJ","text":"USGS data release","linkHelpText":"Digital database of a 3D Geological Model of western South Dakota"},{"id":501221,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate02.pdf","text":"Plate 2","size":"2.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 2","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Interlake Dolomite Unit Produced in the Three-Dimensional Geologic Model"},{"id":501225,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate06.pdf","text":"Plate 6","size":"3.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 6","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Greenhorn Formation Unit Produced in the Three-Dimensional Geologic Model"},{"id":501224,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate05.pdf","text":"Plate 5","size":"4.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 5","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Inyan Kara Group Unit Produced in the Three-Dimensional Geologic Model"},{"id":501223,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate04.pdf","text":"Plate 4","size":"5.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 4","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Minnelusa Formation and Tensleep Sandstone Unit Produced in the Three-Dimensional Geologic Model"},{"id":501222,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate03.pdf","text":"Plate 3","size":"5.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 3","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Madison Group Unit Produced in the Three-Dimensional Geologic Model"},{"id":501398,"rank":14,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119319.htm","linkFileType":{"id":5,"text":"html"}},{"id":501293,"rank":13,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127.xml"},{"id":501226,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate07.pdf","text":"Plate 7","size":"5.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 7","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Pierre Shale Unit Produced in the Three-Dimensional Geologic Model"},{"id":501171,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate01.pdf","text":"Plate 1","size":"6.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 1","linkHelpText":"Elevation from Sea Level for the Uppermost Horizon of the Precambrian Basement Rock Unit Produced in the Three-Dimensional Geologic Model"},{"id":501168,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127"}],"country":"United States","state":"Montana, North Dakota, South Dakota, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.01760304216045,\n 42.18074830613793\n ],\n [\n -104.01940051819325,\n 42.96961821600968\n ],\n [\n -98.65957340563033,\n 43.01299991081737\n ],\n [\n -99.41029713935428,\n 43.66615176363095\n ],\n [\n -100.24117083870094,\n 43.8917209316659\n ],\n [\n -100.29375040573721,\n 44.247038889450664\n ],\n [\n -100.71263038522197,\n 44.71498675029835\n ],\n [\n -100.34267561847032,\n 44.95949891843\n ],\n [\n -100.6445391698451,\n 46.899090456327855\n ],\n [\n -100.38858240463932,\n 49.00440688663221\n ],\n [\n -102.17174745521996,\n 48.97955071277116\n ],\n [\n -104.10285947693174,\n 47.15382556530247\n ],\n [\n -106.00020337189423,\n 45.73378363240559\n ],\n [\n -105.44163962196222,\n 42.4720968180645\n ],\n [\n -104.01760304216045,\n 42.18074830613793\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046
This report presents a new three-dimensional map of underground rock layers and faults in the northern Great Plains, covering parts of Montana, North Dakota, South Dakota, and Wyoming. The model was built from thousands of data points collected from wells, maps, and geophysical surveys. It shows the shape, depth, and thickness of multiple rock layers—many of which are important for water, energy, and mineral resources. The map helps scientists, land managers, and decisionmakers better understand the region’s subsurface geology. This work also shows that reliable geologic models can be made even in areas with limited data, using a repeatable method that can be applied in other underexplored areas.
","publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Spangler, Leland R. 0000-0002-2223-7047","orcid":"https://orcid.org/0000-0002-2223-7047","contributorId":295310,"corporation":false,"usgs":true,"family":"Spangler","given":"Leland","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":957093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274325,"text":"70274325 - 2026 - Deep critical zone controls on shallow landslides","interactions":[],"lastModifiedDate":"2026-03-26T19:40:22.332984","indexId":"70274325","displayToPublicDate":"2026-03-18T12:36:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deep critical zone controls on shallow landslides","docAbstract":"The deep critical zone (CZ) has long been recognized for its importance in influencing shallow landslides but was not considered feasible to include in slope stability models at the watershed scale. In this study, we demonstrate that simple approximations of the CZ in a fully coupled hydrologic and soil slope stability model can effectively capture the location, timing, and likely size of shallow landslides. To achieve this, we use coupled, process-based models that incorporate the effects of 1) deep CZ structures, 2) three-dimensional transient hydrology, and 3) multidimensional slope stability, calibrated with data from an intensively monitored field site. Our results show that the hydrologically active deep CZ guides groundwater flow, influencing where it drains from or exfiltrates to the soil mantle, producing distinct patterns of soil saturation and seepage forces at the soil-bedrock boundary. Deep conductive weathered critical zone drains the soil mantle, reducing the likelihood of destabilizing pore pressures, while the downslope thinning of the CZ forces groundwater to the surface. This creates localized instability and a tendency for similar-sized landslides across the landscape. In contrast, the absence of conductive weathered bedrock results in more widespread destabilizing pore pressures, leading to larger landslides and the likelihood of landslides earlier in a storm than in landscapes underlain by a deep CZ. Our findings suggest that first-order variations of deep CZ can provide physical explanations for variations observed in the susceptibility, magnitude, and timing of shallow landslides, and that CZ structure may be inferred from patterns and timing of landsliding.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2524542123","usgsCitation":"Moon, S., Formetta, G., Higa, J.T., Busti, R., Bellugi, D.G., Milledge, D.G., Ebel, B., and Dietrich, W.E., 2026, Deep critical zone controls on shallow landslides: Proceedings of the National Academy of Sciences, v. 123, no. 12, e2524542123, 12 p., https://doi.org/10.1073/pnas.2524542123.","productDescription":"e2524542123, 12 p.","ipdsId":"IP-159353","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2524542123","text":"Publisher Index Page"},{"id":501638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"12","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":957885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Formetta, Giuseppe 0000-0002-0252-1462","orcid":"https://orcid.org/0000-0002-0252-1462","contributorId":210296,"corporation":false,"usgs":false,"family":"Formetta","given":"Giuseppe","email":"","affiliations":[{"id":38100,"text":"Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":957886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higa, Justin T.","contributorId":367913,"corporation":false,"usgs":false,"family":"Higa","given":"Justin","middleInitial":"T.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":957887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busti, Riccardo","contributorId":367914,"corporation":false,"usgs":false,"family":"Busti","given":"Riccardo","affiliations":[{"id":25322,"text":"University of Trento","active":true,"usgs":false}],"preferred":false,"id":957888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellugi, Dino G.","contributorId":367915,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","middleInitial":"G.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Milledge, David G.","contributorId":367916,"corporation":false,"usgs":false,"family":"Milledge","given":"David","middleInitial":"G.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":957890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietrich, William E.","contributorId":367923,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","middleInitial":"E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957892,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274194,"text":"sir20265143 - 2026 - Urban stormwater treatment using biofiltration—Variable performance across solids, nutrients, major ions, and metals","interactions":[],"lastModifiedDate":"2026-03-19T13:54:51.847251","indexId":"sir20265143","displayToPublicDate":"2026-03-18T12:21:23","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":"2026-5143","displayTitle":"Urban Stormwater Treatment Using Biofiltration—Variable Performance Across Solids, Nutrients, Major Ions, and Metals","title":"Urban stormwater treatment using biofiltration—Variable performance across solids, nutrients, major ions, and metals","docAbstract":"Urban runoff from streets and parking lots carries pollutants that degrade receiving waters. Green infrastructure, such as biofilters, is increasingly used to treat this runoff by mimicking natural hydrologic processes. The U.S. Geological Survey, in cooperation with the Milwaukee Metropolitan Sewerage District, evaluated a biofilter receiving roadway runoff from an industrial area in Milwaukee, Wisconsin, over a 3-year period (2022–24). Paired inlet and outlet samples were analyzed for changes in runoff volume, peak discharge, and concentrations of solids, nutrients, major ions, and metals. The biofilter reduced runoff volume by 86 percent and peak discharge by 92 percent, with substantial reductions in total suspended solids (99 percent), total phosphorus (86 percent), and particulate metals (greater than 80 percent for most analytes). However, dissolved constituents showed variable performance; dissolved phosphorus and several metals exhibited net export, likely influenced by media composition, redox conditions, and winter road salt inputs. Sodium export, despite stable chloride loads, suggests cation exchange and seasonal release dynamics. These findings highlight limitations of conventional biofilter designs for dissolved pollutants and underscore the need for improved media, vegetation management, and consideration of winter deicing practices.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265143","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Selbig, W.R., and Romano, J., 2026, Urban stormwater treatment using biofiltration—Variable performance across solids, nutrients, major ions, and metals: U.S. Geological Survey Scientific Investigations Report 2026–5143, 27 p., https://doi.org/10.3133/sir20265143.","productDescription":"Report: vii, 27 p.; Data Release","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179736","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5143/coverthb.jpg"},{"id":500780,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5143/sir20265143.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5143"},{"id":500781,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5143/sir20265143.XML"},{"id":500782,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5143/images/"},{"id":500783,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265143/full"},{"id":500784,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13E8BMK","text":"USGS data release","linkHelpText":"Water quality concentration and load data for a biofilter at Green Tech Station in Milwaukee, Wisconsin, 2022–24"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Green Tech Station stormwater plaza","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.95385389802549,\n 43.092593420276046\n ],\n [\n -87.95385389802549,\n 43.09035056067961\n ],\n [\n -87.9520609229932,\n 43.09035056067961\n ],\n [\n -87.9520609229932,\n 43.092593420276046\n ],\n [\n -87.95385389802549,\n 43.092593420276046\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Urban stormwater runoff can carry sediment, nutrients, salts, and metals into nearby rivers and lakes, contributing to flooding and water-quality problems. To reduce these impacts, communities are increasingly using shallow, planted systems called biofilters to capture and soak up runoff. This study evaluates how well a biofilter in Milwaukee, Wisconsin, performed over three years and what its results mean for managing stormwater in urban areas.
The biofilter was highly effective at managing stormwater volume and flow. On average, it reduced the amount of runoff leaving the site by 86 percent and reduced peak flow rates by 92 percent. These reductions help lower the risk of flooding downstream, especially during heavy rain.
The biofilter also worked very well at removing pollutants attached to soil and debris. Nearly all suspended sediment was removed, and total phosphorus was reduced by more than 80 percent. Most metals attached to sediment, such as lead and copper, were also greatly reduced. These results show that biofilters are reliable tools for controlling particulate forms of pollutants from roads, even when sediment loads are high.
However, the biofilter was less effective at treating dissolved phase pollutants. For example, dissolved phosphorus and several dissolved metals, including iron and manganese, were often higher in water leaving the biofilter than in water entering it. Sodium, a major component of road salt, was also released from the system at times. Export of dissolved phase pollutants from the biofilter likely reflects interactions between runoff, organic material in the soil, and winter deicing practices. Improving soil mixtures, managing vegetation, and reducing salt inputs may help biofilters better protect urban water quality in the future.
","publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romano, James 0000-0002-1885-2178","orcid":"https://orcid.org/0000-0002-1885-2178","contributorId":366936,"corporation":false,"usgs":true,"family":"Romano","given":"James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956898,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274237,"text":"sir20265131 - 2026 - Investigation of fish communities in natural channel sections of the Mohawk River, New York","interactions":[],"lastModifiedDate":"2026-04-16T17:26:26.892035","indexId":"sir20265131","displayToPublicDate":"2026-03-18T11:18:07","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":"2026-5131","displayTitle":"Investigation of Fish Communities in Natural Channel Sections of the Mohawk River, New York","title":"Investigation of fish communities in natural channel sections of the Mohawk River, New York","docAbstract":"Little is known about the natural resources in the natural channel sections of the Mohawk River between Rome and Frankfort, New York, where the river channel runs separately from and parallel to the Erie Canal. This river section runs through multiple locations that are listed as active remediation sites under New York’s Inactive Hazardous Waste Disposal Site Program and has negligible public or commercial access. As a result, there is minimal recreational usage of this river section, and efforts to conduct biological sampling have been limited. To better understand the composition of fish communities and contaminant concentrations in the natural channel of the Mohawk River, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, sampled resident fish in the 34-kilometer section from the mouth of Oriskany Creek downstream to Frankfort. Fish communities were sampled using boat electrofishing during 2021, 2023, and 2024 across multiple reaches within this section. These data were used to estimate species richness (number of species), relative abundance and biomass (catch rates), population size structure (distribution of lengths), and fish condition (a proxy for health). Some gamefish specimens were also analyzed to determine contaminant concentrations in fish tissue.
A total of 1,531 individual fish and 38 fish species were captured across all surveys. Seventeen of the 38 (45 percent) species were classified as native to the Mohawk River watershed, whereas 21 of the 38 (55 percent) species were classified as nonnative. Some popular gamefish species such as largemouth bass (Micropterus salmoides) and smallmouth bass (Micropterus dolomieu) were abundant in most reaches, whereas others such as walleye (Sander vitreus) and northern pike (Esox lucius) were found sporadically. Only one round goby (Neogobius melanostomus) was captured, indicating that this high-profile invasive species remains uncommon in this habitat. A backwater reach had the greatest relative abundance and condition of many species. This indicates connected lentic habitats such as oxbows and backwaters may be important nursery and refuge areas in the aquatic ecosystem.
Polychlorinated biphenyl (PCB) concentrations in fish tissue were highly elevated relative to the New York State Department of Health (NYSDOH) fish consumption “don’t eat” advisory guideline. Some specimens exceeded the guideline by an order of magnitude or more, particularly those from a localized area downstream from the Utica Harbor Dam. Concentrations of perfluorooctanesulfonic acid (PFOS) often approached the NYSDOH “don’t eat” consumption guideline but only one sample exceeded the guideline. Concentrations of other contaminants such as mercury and pesticides were consistently measured at less than the “don’t eat” consumption guidelines. These data indicate PCBs remain the primary contaminant of concern in the natural channel of the Mohawk River and are readily bioaccumulating in aquatic organisms despite prior remediation measures. Taken together, the findings in this report are intended to inform future decisions related to fisheries management, public access, recreational usage, and fish consumption advisories.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265131","collaboration":"New York State Department of Environmental Conservation","usgsCitation":"George, S.D., Sadekoski, T.R., Darling, M.J., Baldigo, B.P., Wells, S.M., Erway, D.B., Conine, A.L., Becker, J.C., and Dieterle, K.J., 2026, Investigation of fish communities in natural channel sections of the Mohawk River, New York:\nU.S. Geological Survey Scientific Investigations Report 2026–5131, 20 p., https://doi.org/10.3133/sir20265131.","productDescription":"Report: ix, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-177241","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501249,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5131/coverthb.jpg","linkHelpText":"https://pubs.usgs.gov/manager/#links-pane"},{"id":501253,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5131/images"},{"id":501404,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119322.htm","linkFileType":{"id":5,"text":"html"}},{"id":502179,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265131/full","text":"HTML Document","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5131 HTML"},{"id":501254,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13JVPW7","text":"USGS Data Release","linkHelpText":"Fish Community Data from Natural Channel Sections of the Mohawk River, NY (ver. 1.1, January 2026)"},{"id":501252,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5131/sir20265131.XML","description":"SIR 2026-5131 XML"},{"id":501250,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5131/sir20265131.pdf","text":"Report","size":"5.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5131"}],"country":"United States","state":"New York","otherGeospatial":"Mohawk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.00127321730884,\n 43\n ],\n [\n -75.00127321730884,\n 43.1667\n ],\n [\n -75.333,\n 43.1667\n ],\n [\n -75.333,\n 43\n ],\n [\n -75.00127321730884,\n 43\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Collaborative governance structures (CGS) have been increasingly adopted to address joint-jurisdictional management challenges. While the establishment of CGSs has been widely studied, their practical development has remained a conspicuous gap. CGSs are variable systems with several developmental stages (activation, collectivity, and institutionalization) which eventually lead to stabilization, decline, re-creation, or re-orientation. CGSs in decline may need to revisit earlier developmental stages if members choose to re-create or re-orient the structure. The Atlantic Salmon Recovery Framework (ASRF) was the CGS responsible for managing the Gulf of Maine Distinct Population Segment of Atlantic Salmon (Salmo salar) from 2011 until 2019 when it was replaced by the Collaborative Management Strategy (CMS) pilot program. The CMS was designed to address concerns identified in the ASRF; 1. slow and ineffective decision-making, 2. confusion surrounding leadership, and 3. low adaptive capacity. Building upon a previous evaluation of the ASRF, we used a parallel design to compare the structural components and participant perceptions of the two structures using a comparative case study methodology. The changes that occurred between the ASRF and the CMS constitute a re-creation, providing a unique opportunity to study this developmental phase of a CGS. The issues observed in the CMS may result from a misalignment between participant expectations and the current developmental stage of the re-created CGS. The CMS reorganized ASRF members and created roles for participants without direct management jurisdiction. The implementation of the CMS addressed many concerns identified in the ASRF while others remained (i.e., high membership uncertainty and confusion surrounding decision-making procedures). Formal leadership roles have created more equal representation, but participants still reported uncertainty regarding status and formalization of non-leadership roles.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpol.2026.107122","usgsCitation":"Flye, M.E., Sponarski, C.C., Frechette, D., and Zydlewski, J.D., 2026, Is new actually better? 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Resources","active":true,"usgs":false}],"preferred":false,"id":958580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":958581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274594,"text":"70274594 - 2026 - Behavioral shifts mask the success of legislation and outreach for endangered species recovery","interactions":[],"lastModifiedDate":"2026-04-01T17:06:24.458043","indexId":"70274594","displayToPublicDate":"2026-03-18T09:53:12","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral shifts mask the success of legislation and outreach for endangered species recovery","docAbstract":"A fundamental challenge in conservation is assessing the efficacy of recovery actions to optimize endangered species management. Considerable recent attention has focused on effective measures to counter the endangerment of avian scavengers, which have declined worldwide, primarily due to poisoning. One iconic example is efforts to recover the critically endangered California condor (Gymnogyps californianus), whose leading cause of death is poisoning from ingesting lead-based ammunition in carcasses. Despite enormous resources expended in California, USA, including implementation of public outreach campaigns and two legislative bans on lead ammunition, lead-related mortality of condors has increased. Here we show that two types of behavioral shifts explain the observed increases in condor lead exposure: wilder foraging and ranging by condors and increased shooting of wild pigs (Sus scrofa) by humans. After accounting for these trends, we show that both lead ammunition bans and public outreach efforts have significantly reduced condor blood lead levels in California, lowering mortality. Our analyses uncover a dynamic in which changing ecological conditions mask the true efficacy of legislation and outreach. Given rapid global change, such dynamics are likely operating in many settings, underscoring the importance of comprehensive evaluations of recovery actions, which can be obscured by shifting behaviors and threats.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-026-69617-4","usgsCitation":"Bakker, V.J., Doak, D.F., Welch, A., Burnett, L., Porras Peña, M.C., Brandt, J., Poessel, S.A., Kirkland, S., Wolstenholme, R., Ryan, D., Stake, M., Punzalan, A., Vilchis, N., Braham, M.A., and Finkelstein, M.E., 2026, Behavioral shifts mask the success of legislation and outreach for endangered species recovery: Nature Communications, no. 17, 1819, 14 p., https://doi.org/10.1038/s41467-026-69617-4.","productDescription":"1819, 14 p.","ipdsId":"IP-179032","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":502051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-69617-4","text":"Publisher Index Page"},{"id":501954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Baja California, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.76371371072838,\n 37.61228020369509\n ],\n [\n -117.05805204693235,\n 29.393821450671695\n ],\n [\n -113.48068213234063,\n 29.521683607477\n ],\n [\n -115.99645808970025,\n 34.83642347081334\n ],\n [\n -119.05465886480684,\n 38.10068387191136\n ],\n [\n -122.76371371072838,\n 37.61228020369509\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"17","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bakker, Victoria J.","contributorId":369092,"corporation":false,"usgs":false,"family":"Bakker","given":"Victoria","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":958435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doak, Daniel F.","contributorId":369093,"corporation":false,"usgs":false,"family":"Doak","given":"Daniel","middleInitial":"F.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":958436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Alacia","contributorId":206083,"corporation":false,"usgs":false,"family":"Welch","given":"Alacia","email":"","affiliations":[{"id":37236,"text":"Pinnacles National Park","active":true,"usgs":false}],"preferred":false,"id":958437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burnett, L. 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While traditional metrics like air temperature (Tair) and satellite-derived surface temperature dominate urban heat studies, these measures often fail to reflect how people actually experience thermal exposure intensity. More human-oriented metrics, such as mean radiant temperature (MRT), and the wet bulb globe temperature (WBGT), better capture this lived experience, particularly at locations where people are likely to encounter outdoor heat, such as bus stops. Human demographics further complicate heat exposure, as access to cooling resources like trees and greenspaces can vary by neighborhood income. Our study addresses these complications by collecting thermal data across 60 commuting locations in Denver, Colorado in the summer. We evaluate (1) the extent to which more human-oriented metrics capture thermal exposure compared to Tair and LST, and (2) how heat exposure varies by neighborhood income levels. We observed that bus stops in low-income neighborhoods had an MRT increase 2.8 °C compared wealthier neighborhoods, and that income-driven differences in MRT and WBGT strongly depended on bus stop aspect. After accounting for solar orientation, differences in MRT increased to as much as 6.3 °C at north-facing stops. Our results suggest tree canopy shade explains some observed heat exposure patterns, with south facing bus stops seeing a MRT and WBGT decrease of 0.42 °C and 0.11 °C from a percent increase in tree canopy. Interestingly, depending on bus stop aspect, nearby buildings can increase MRT and WBGT (facing east), or decrease MRT and WBGT (facing south) If planners aim to address this issue, consideration of bus stops, and land covers configuration may help.
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These pressures are especially acute in arid and semi-arid regions, where eco-hydrologic connectivity is fragile and recovery is slow. This study quantifies the efficacy of nature-based solutions, particularly the ‘Zeedyk approach,’ which employs low-tech Natural Infrastructure in Dryland Streams (NIDS)—including rock detention structures—to slow surface water, raise groundwater tables, and restore wetland function at a spring-fed wetland in Cebolla Canyon, New Mexico, U.S.A. Our results depict a Restoration Feedback Loop that captures stages of change from a healthy wetland in 1935, altered by 20th-century agriculture and grazing, to the re-establishment of the historical flow regime by 2024 documented through an 89-year archive of aerial imagery (1935–2024). By the end of our study period, the Spring-Fed Wetland had expanded by roughly 229% of the original 1935 area, to 4.13 ha. Using 40 years of satellite data, we assess changes in vegetation and hydrology with remote sensing indices. Spatial and temporal analyses reveal significant increases in vegetation greenness and wetness, particularly in an Expanded Wetland subregion, which exhibited ∼3.5x higher wetness and ∼1.5x higher greenness trends compared to adjacent areas. Monthly metrics highlight seasonal variability, with increases in greenness linked to monsoonal rainfall and lateral water redistribution, indicating that restoration impacts extend beyond the primary wetland. This study demonstrates the utility of cloud-based platforms like Google Earth Engine and USGS EarthExplorer for long-term monitoring of wetland restoration, while quantifying the efficacy of the ‘Zeedyk approach’ and demonstrating its potential as a scalable method to restore and conserve wetland meadows in other arid and semi-arid landscapes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsase.2026.101964","usgsCitation":"Petrakis, R.E., Norman, L., McGraw, M., Carson, S., Sponholtz, C., Weber, C., and Zeedyk, B.D., 2026, Regreening, restoring, and reconnecting a southwestern wetland ecosystem – the Zeedyk wetland: Remote Sensing Applications: Society and Environment, v. 42, 101964, 25 p., https://doi.org/10.1016/j.rsase.2026.101964.","productDescription":"101964, 25 p.","ipdsId":"IP-181171","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":501673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsase.2026.101964","text":"Publisher Index Page"},{"id":501451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Cebolla Creek Restoration Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.02529096003872,\n 35.144508927313936\n ],\n [\n -108.02529096003872,\n 34.9960395169455\n ],\n [\n -107.84876055969504,\n 34.9960395169455\n ],\n [\n -107.84876055969504,\n 35.144508927313936\n ],\n [\n -108.02529096003872,\n 35.144508927313936\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Petrakis, Roy E. 0000-0001-8932-077X rpetrakis@usgs.gov","orcid":"https://orcid.org/0000-0001-8932-077X","contributorId":174623,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy","email":"rpetrakis@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":957501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":957502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGraw, Maryann","contributorId":367703,"corporation":false,"usgs":false,"family":"McGraw","given":"Maryann","affiliations":[{"id":87604,"text":"New Mexico Environment Department","active":true,"usgs":false}],"preferred":false,"id":957503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carson, Steve","contributorId":367704,"corporation":false,"usgs":false,"family":"Carson","given":"Steve","affiliations":[{"id":87605,"text":"Rangeland Hands, Inc.","active":true,"usgs":false}],"preferred":false,"id":957504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sponholtz, Craig","contributorId":367705,"corporation":false,"usgs":false,"family":"Sponholtz","given":"Craig","affiliations":[{"id":87606,"text":"Watershed Artisans, Inc.","active":true,"usgs":false}],"preferred":false,"id":957505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weber, Cameron","contributorId":367706,"corporation":false,"usgs":false,"family":"Weber","given":"Cameron","affiliations":[{"id":87607,"text":"Rio Grande Return","active":true,"usgs":false}],"preferred":false,"id":957506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zeedyk, Bill D.","contributorId":367707,"corporation":false,"usgs":false,"family":"Zeedyk","given":"Bill","middleInitial":"D.","affiliations":[{"id":87608,"text":"Zeedyk Ecological Consulting, LLC","active":true,"usgs":false}],"preferred":false,"id":957507,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273837,"text":"70273837 - 2026 - Unprecedented burning in tropical peatlands during the 20th century compared to the previous two millennia","interactions":[],"lastModifiedDate":"2026-04-07T15:22:51.898019","indexId":"70273837","displayToPublicDate":"2026-03-17T09:51:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Unprecedented burning in tropical peatlands during the 20th century compared to the previous two millennia","docAbstract":"Tropical peatland wildfire incidence has risen in recent decades, driven by drainage for land use and intensified by severe droughts with global climate change. These disturbances have altered vegetation structure, disrupted ecosystem functioning, and increased carbon emissions, particularly in Southeast Asia. However, the long-term history and characteristics of wildfires in tropical peatlands remain largely unknown. Here, we compiled fifty-eight macro-charcoal records from peatlands across the tropics, ranging from lowland forested to montane peatlands, to assess millennia-scale changes and controlling factors of tropical peatland burning. We divided the datasets into four main sub-regions: Neotropical, Afrotropical, Indomalayan and Australasian ecoregions to explore regional variability. Tropical peatlands had high burning levels between 0 and 850 ce, followed by a relatively low and stable period until a marked increase during the 20th century. The general trend in tropical peatland burning follows changes in global temperature, and climate variables that control the length and severity of drought events have a notable influence on peat burning before 1900 ce. During the 20th century, regional differences were observed, with declining fire trends in the Neotropical and Afrotropical regions and increasing fire trends in the Indomalayan and Australasian regions. This difference is likely attributable to human activities, and such intervention is also evident in palm swamps and hardwood swamps under similar wet, weakly seasonal climates. With the increase in anthropogenic pressures on peatlands and greater climate variability, future wildfires in peatlands are likely to become more frequent and widespread across all tropical ecoregions. Conservation and sustainable land-use practices could be used to mitigate and control peatland burning and protect these carbon-rich sinks.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70717","usgsCitation":"Wang, Y., Feldpausch, T.R., Swindles, G.T., Moss, P., McGowan, H.A., Sim, T.G., Morris, P.J., Benfield, A., Courtney-Mustaphi, C., Wahl, D., Montoya, E., Githumbi, E.N., Honorio Coronado, E.N., Augustijns, F., Verstraeten, G., O'Donnell, J., Tibby, J., Benavides, J.C., Hapsari, K.A., Schittek, K., Mohamed Ramdzan, K.N., Bao, K., Cole, L.E., Anderson, L., Galka, M., Emuobosa Akpo, O., Strobel, P., Ramya Bala, P., Dommain, R., Marchant, R., Sukumar, R., Chawchai, S., Pullyottum Kavil, S., Mooney, S., Kelly, T.J., Gao, Y., Voulgarakis, A., Boom, A., Burton, C., Berrio, J.C., Ribeiro, K., Anderson, L.O., Hardiman, M., Spater, M., Page, S.E., and Gallego-Sala, A., 2026, Unprecedented burning in tropical peatlands during the 20th century compared to the previous two millennia: Global Change Biology, v. 32, no. 3, e70717, 16 p., https://doi.org/10.1111/gcb.70717.","productDescription":"e70717, 16 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poorly understood. Herein, we report on 50 years of studies at a slowly spreading castellate ridge in the Sawatch Range in central Colorado. The orientations of geomorphic-structural features indicate that the fractured Precambrian granitic rock underlying the ridge has extended and spread northwestward toward the formerly glacier-covered Busk Creek valley. Results from surveying, field-based geomorphic-structural mapping using lidar, rock mass quality measurements, a passive seismic survey, and satellite radar provide a major update to research started by U.S. Geological Survey researchers in the 1970s and 1980s. New insights include a recognition that the entire ridge has slowly moved by concurrent sliding along an inferred northwest dipping, compound basal-slip surface (or zone), and through the formation of multiple grabens by normal faulting and flexural toppling along sets of pre-existing fractures that dip moderately (∼45°) to the southeast. We were unable to distinguish the presence of a sudden and strong contrast in seismic velocity across the inferred slip surface. Movement during the 50-year study period has been episodic and gradually decreasing, in correspondence with decreasing cumulative annual precipitation and increasing mean annual air temperatures. The fastest moving area, just upslope from the glacier trimline, had an average horizontal velocity of 3–4 mm/yr. Evidence suggests that movement started as a paraglacial response mechanism, but because of the site’s proximity to the Rio Grande Rift, we cannot exclude earthquake shaking as a mechanism for initiation or enhancement of slope movement. An estimate of longer-term horizontal movement from the exposed basal-slip surface at the uphill side of the ridgetop graben is ∼1.1 mm/yr for the 13–14 ky post-glacial period.
Broad implications of our work are that: (1) long-term measurements (decades or longer) of slope movement can add insights into how sackungen form and evolve through time; (2) the identification of thrust faults and toes in zones of compression near valley bottoms can be crucial for interpreting sackung failure mechanisms, and (3) the use of passive-seismic techniques to identify the depth to a slip surface may not be successful in granitic terrain dominated by planar fractures and subtle changes in rock-mass characteristics.
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demand for ecological models of aquatic species that can inform the management of national freshwater resources, we leveraged manager input to develop suites of environmental data layers characterizing freshwater habitats for the contiguous United States. Using the National Hydrography Dataset, these new data cover lentic and lotic systems under current and near-future environmental conditions. The data include a variety of covariate categories including climate, soil chemistry, land use and land cover, and human modification of the surrounding landscape. The predictor resolution for atmospheric climate predictors was the lake (wetland) or stream reach, and, for the terrestrial proxies, the subwatershed (HUC12) surrounding the lake or stream reach was chosen to capture the relevant land features surrounding the habitat. Future land use, land cover and streamflow predictions were included from present to mid-century. These data are available for the development of freshwater ecological models in the contiguous United States for a variety of applications, including species distribution modeling and exploring change in spatially diverse aquatic systems in time.
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