Historical, future, and potential stream capture from groundwater pumping in the middle Humboldt River Basin (MHRB), Nevada, is estimated using a calibrated numerical groundwater flow model. The model was developed to estimate (1) stream capture, which is the change in flux between the groundwater system and the Humboldt River and tributaries, and (2) change in streamflow, which is the change in streamflow estimated for the Imlay gage on the Humboldt River (U.S. Geological Survey streamgage 10333000). Historical stream capture for water years (WYs) 1961–2015 is estimated using recorded and estimated groundwater pumping during that period. Future (predictive) stream capture was based on historical stresses (WYs 1961–2015) using a scenario that simulated non-mine pumping from WY 2015 at a uniform rate for 100 years into the future. Potential stream capture throughout the middle Humboldt River Basin from groundwater pumping during varying durations of time are presented in a series of capture maps. Maps also are presented that show the potential to capture from groundwater evapotranspiration, as well as the storage changes for pumping duration of 100 years.
Estimates of historical stream capture from the mainstem Humboldt River during the early 1960s are less than 400 acre-feet per year (acre-ft/yr) when groundwater withdrawals and pumping rates were relatively small compared to more recent times. In the late 1980s and early 1990s, groundwater withdrawals increased and estimated historical stream capture also increased from about 4,000 acre-ft/yr in the late 1980s and early 1990s to as much as 18,800 acre-feet (acre-ft) in WY 1998. In WY 2015, estimated historical stream capture declined to about 13,000 acre-ft because of decreasing groundwater withdrawals and lower streamflow during the drought of WYs 2012–15, resulting in less stream water available for capture. Stream capture was estimated for 100 years into the future based on WY 2015 non-mine pumping rates and mine-dewatering activity through WY 2015. Stream capture is forecast to increase to about 23,000 acre-ft/yr, and streamflow in the Humboldt River could decrease by as much as 19,000 acre-ft/yr.
Pumping for mine-dewatering and the associated discharge of that water affects streamflow in the Humboldt River at Imlay, Nevada (U.S. Geological Survey streamgage 10333000). Historically, from WYs 1991 to 2015, streamflow was greater at Imlay gage during active mine-dewatering from mine-water discharge operations and increased by as much as 105,000 acre-ft in WY 1998. The increase was attributed mostly to the discharge of groundwater from mine-related dewatering operations directly into the mainstem Humboldt River or its tributaries, with some of this increase associated with return flows from discharge to rapid infiltration basins. Results indicate that streamflow at Imlay gage is expected to decrease by as much as 1,600 acre-ft/yr 30 years after mine-related pumping and discharge are discontinued. The streamflow reductions at the Imlay gage are expected to then decrease to around 500 acre-ft/yr, 100 years after mine-related pumping and discharge are discontinued.
Potential capture maps were produced for pumping durations of 10, 25, 50, and 100 years. Capture map results indicate that areas of greater potential stream capture occur adjacent to the Humboldt River and for upstream tributaries areas north of the Humboldt River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1906","collaboration":"Prepared in cooperation with the Nevada Division of Water Resources","programNote":"Water Resources Mission Area—Cooperative Water Program and Hydrologic Research and Development","usgsCitation":"Davis, K.W., Eldridge, W.G., Allander, K.K., Prudic, D.E., Gardner, M.A., Pavelko, M.T., and Nadler, C.A., 2026, Evaluation of stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada: U.S. Geological\nSurvey Professional Paper 1906, 176 p., https://doi.org/10.3133/pp1906.","productDescription":"Report: xiv, 176 p.; 2 Data Releases","numberOfPages":"176","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-089162","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1906/pp1906.pdf","text":"Report","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1906 PDF"},{"id":504433,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119414.htm","linkFileType":{"id":5,"text":"html"}},{"id":504303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1906/coverthb.jpg"},{"id":504309,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YZUT70","text":"USGS data release","linkHelpText":"Humboldt River Basin model grids and potential groundwater capture results"},{"id":504308,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UPZJJH","text":"USGS data release","linkHelpText":"MODFLOW- 6 models to evaluate stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada"},{"id":504305,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1906/full","linkFileType":{"id":5,"text":"html"},"description":"PP 1906 HTML"},{"id":504306,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1906/pp1906.XML","description":"PP 1906 XML"},{"id":504307,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1906/images"}],"country":"United States","state":"Nevada","otherGeospatial":"middle Humboldt River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 42\n ],\n [\n -119,\n 42\n ],\n [\n -119,\n 39\n ],\n [\n -114.5,\n 39\n ],\n [\n -114.5,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road, Suite 3
Carson City, Nevada 89701
The Humboldt River in the middle Humboldt River Basin (MHRB) is a water source that supports substantial agricultural development in northern Nevada. Additionally, groundwater in the MRHB is pumped to support agriculture, energy, municipal, and mining operations. This study evaluates the effects of groundwater pumping on streamflow and estimates stream capture for the Humboldt River and MHRB. A calibrated numerical groundwater-flow model was used in this study to estimate historical and future stream capture from groundwater pumping in the MHRB. Historical stream capture for the Humboldt River and its tributaries, specifically from water year 1961 to water year 2015, was determined based on recorded and estimated groundwater pumping during that period and was about 400 acre-feet per year during the early 1960s, 4,000 acre-feet per year in the late 1980s and early 1990s, and 13,000 acre-feet per year in water year 2015. Stream capture from the Humboldt River is forecasted to increase to as much as 23,000 acre-feet per year 100 years into the future, an increase from the estimated historical stream capture. Forecasted streamflow in the Humboldt River could decrease by as much as 19,000 acre-feet per year after 100 years of pumping for agricultural, municipal, and energy-related uses. Historical pumping for mine-dewatering and the associated mine-water discharge are forecasted to reduce streamflow at the Imlay streamgage in the Humboldt River by as much as 1,600 acre-feet per year 30 years after mining operations are discontinued. Streamflow reductions from historical mining operations are forecasted to be 500 acre-feet per year 100 years after mining operations are discontinued.
","publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kyle W. 0000-0002-8723-0110","orcid":"https://orcid.org/0000-0002-8723-0110","contributorId":201549,"corporation":false,"usgs":true,"family":"Davis","given":"Kyle W.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eldridge, William G. 0000-0002-3562-728X","orcid":"https://orcid.org/0000-0002-3562-728X","contributorId":208529,"corporation":false,"usgs":true,"family":"Eldridge","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allander, Kip K. 0000-0002-3317-298X","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":371314,"corporation":false,"usgs":false,"family":"Allander","given":"Kip","middleInitial":"K.","affiliations":[{"id":88112,"text":"Nevada Division of Water Resources","active":true,"usgs":false}],"preferred":false,"id":961513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prudic, David E.","contributorId":371315,"corporation":false,"usgs":false,"family":"Prudic","given":"David","middleInitial":"E.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":961514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Murphy A. 0000-0002-3951-6667","orcid":"https://orcid.org/0000-0002-3951-6667","contributorId":279996,"corporation":false,"usgs":false,"family":"Gardner","given":"Murphy","middleInitial":"A.","affiliations":[],"preferred":false,"id":961515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadler, Cara A. 0000-0002-8711-7249","orcid":"https://orcid.org/0000-0002-8711-7249","contributorId":371316,"corporation":false,"usgs":false,"family":"Nadler","given":"Cara","middleInitial":"A.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":961517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276297,"text":"70276297 - 2026 - Predictable seismic cycles result from structural rupture barriers on oceanic transform faults","interactions":[],"lastModifiedDate":"2026-05-27T14:26:16.078038","indexId":"70276297","displayToPublicDate":"2026-05-14T09:22:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictable seismic cycles result from structural rupture barriers on oceanic transform faults","docAbstract":"Earthquakes of magnitude (M) >5.5 on oceanic transform faults (OTFs) repeatedly rupture the same locked patches, sometimes quasiperiodically. These patches are separated by “barriers” that halt earthquake propagation and slip mostly aseismically. However, the physical processes governing this systematic behavior remain unclear. We analyzed two barriers along the Gofar transform fault that have arrested ~15 M6 earthquakes over the past three decades. Ocean bottom seismometer data indicate that the barriers hosted intense microseismicity before the mainshocks and comprise multistrand faults and transtensional stepovers with 100- to 400-m lateral offset. These characteristics contradict earthquake rupture termination models invoking velocity-strengthening friction or large geometric steps and instead point to damage-enhanced porosity and dilatancy-strengthening mechanisms. By isolating rupture segments, the barriers regulate the quasiperiodic recurrence of OTF earthquakes.
","language":"English","publisher":"AAAS","doi":"10.1126/science.ady6190","usgsCitation":"Gong, J., Fan, W., McGuire, J.J., Behn, M.D., Warren, J.M., Roland, E., Boettcher, M.S., Collins, J.A., Liu, Y., and German, C.R., 2026, Predictable seismic cycles result from structural rupture barriers on oceanic transform faults: Science, v. 392, p. 718-723, https://doi.org/10.1126/science.ady6190.","productDescription":"6 p.","startPage":"718","endPage":"723","ipdsId":"IP-183378","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":504733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gofar transform fault, Pacific Ocean","volume":"392","noUsgsAuthors":false,"publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Jianhua","contributorId":317847,"corporation":false,"usgs":false,"family":"Gong","given":"Jianhua","email":"","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":962009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":962010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":220939,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":962011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Behn, Mark D.","contributorId":371550,"corporation":false,"usgs":false,"family":"Behn","given":"Mark","middleInitial":"D.","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":962012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Jessica M. 0000-0002-4046-4200","orcid":"https://orcid.org/0000-0002-4046-4200","contributorId":206098,"corporation":false,"usgs":false,"family":"Warren","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":962013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roland, Emily","contributorId":247881,"corporation":false,"usgs":false,"family":"Roland","given":"Emily","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":962014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boettcher, M. S.","contributorId":371551,"corporation":false,"usgs":false,"family":"Boettcher","given":"M.","middleInitial":"S.","affiliations":[{"id":38082,"text":"Univ. of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":962015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collins, J. A.","contributorId":371552,"corporation":false,"usgs":false,"family":"Collins","given":"J.","middleInitial":"A.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":962016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Y.","contributorId":127400,"corporation":false,"usgs":false,"family":"Liu","given":"Y.","email":"","affiliations":[{"id":6940,"text":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":962017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"German, C. R.","contributorId":371555,"corporation":false,"usgs":false,"family":"German","given":"C.","middleInitial":"R.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":962018,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276331,"text":"70276331 - 2026 - Syn-magmatic subsidence during the early stages of continental rifting in the Mesoproterozoic—A reanalysis of legacy data for the Midcontinent Rift, western Lake Superior","interactions":[],"lastModifiedDate":"2026-05-29T13:44:35.665335","indexId":"70276331","displayToPublicDate":"2026-05-14T08:37:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Syn-magmatic subsidence during the early stages of continental rifting in the Mesoproterozoic—A reanalysis of legacy data for the Midcontinent Rift, western Lake Superior","docAbstract":"The Midcontinent Rift system (ca. 1.1 Ga) is a 2000-km-long series of elongated volcanic and sedimentary troughs and associated intrusive centers exposed chiefly in the Lake Superior region of North America. The rift system represents a long history of intense magmatism and subsequent sedimentation that was arrested by far-field tectonic events before sea-floor spreading was established. The premature cessation preserved a record of processes related to the beginning of continental rifting.
The rift system under Lake Superior has been long studied using seismic-reflection data collected as part of the Great Lakes International Multidisciplinary Program on Crustal Evolution (GLIMPCE). We reexamine GLIMPCE Line C by developing a detailed velocity model for time to depth conversion constrained by other legacy data. We corroborate the model and develop a geologic interpretation using gravity and magnetic modeling and ties to geology mapped onshore.
We recognize superposed subsiding sedimentary and volcanic basins for the southern half of the Line C depth section. This interpretation differs from previous paradigms that show major crustal faults that bound half-grabens or full grabens. We conclude that high-velocity (6.9 km/s) intrusive zones rather than major crustal faults border the sides of the basins. We speculate that the volcanic basin represents the initiation of seaward dipping reflectors.
The syn-magmatic subsidence can be explained by dike injection and volcanic loading. Discrete lava basins throughout the region likely subsided at different times in a disorganized manner along the rift trend, raising questions about the long-term role of lithospheric thinning and melt generation.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02899.1","usgsCitation":"Grauch, V.J., Woodruff, L.G., Heller, S.J., and Stewart, E.K., 2026, Syn-magmatic subsidence during the early stages of continental rifting in the Mesoproterozoic—A reanalysis of legacy data for the Midcontinent Rift, western Lake Superior: Geosphere, https://doi.org/10.1130/GES02899.1.","ipdsId":"IP-170910","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":505038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02899.1","text":"Publisher Index Page"},{"id":504863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Ontario, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.0406105319069,\n 49.21454141131284\n ],\n [\n -93.54881325461385,\n 49.21454141131284\n ],\n [\n -93.54881325461385,\n 46\n ],\n [\n -87.0406105319069,\n 46\n ],\n [\n -87.0406105319069,\n 49.21454141131284\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":962123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":962124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heller, Samuel J. 0000-0002-6579-5620 sheller@usgs.gov","orcid":"https://orcid.org/0000-0002-6579-5620","contributorId":201350,"corporation":false,"usgs":true,"family":"Heller","given":"Samuel","email":"sheller@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":962125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Esther K. 0000-0001-7362-3020","orcid":"https://orcid.org/0000-0001-7362-3020","contributorId":371613,"corporation":false,"usgs":false,"family":"Stewart","given":"Esther","middleInitial":"K.","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":962126,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275209,"text":"sir20265137 - 2026 - Practical guidance for engaging end-users and experts in developing scientific tools","interactions":[],"lastModifiedDate":"2026-05-14T14:21:59.669974","indexId":"sir20265137","displayToPublicDate":"2026-05-13T11:55:00","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":"2026-5137","displayTitle":"Practical Guidance for Engaging End-Users and Experts in Developing Scientific Tools","title":"Practical guidance for engaging end-users and experts in developing scientific tools","docAbstract":"This report provides actionable guidance for scientists developing scientific tools that inform on-the-ground decision making. Scientific tools, in the context of this report, are technology or protocols that help practitioners collect and analyze their own data, and information products and web tools that practitioners could use to inform decisions. Engaging end-users and fellow experts is fundamental to the creation of useful scientific tools. Scientists can use clear and specific direction on action steps and activities to effectively engage with end-users and fellow experts during development. Our study explores lessons learned from six U.S. Geological Survey projects that designed and implemented engagement activities with end-users and experts to coproduce scientific tools for natural resource managers. U.S. Geological Survey teams engaged end-users and experts across the United States from Federal, State, and local governments; universities; Tribes; territories; and nongovernmental organizations in designing and developing scientific tools intended to support end-users in their work. An online survey with 98 participants measured satisfaction across several indicators of successful engagement, including engagement activity frequency, sufficient opportunities to provide feedback, feedback implementation, inclusion of necessary perspectives, and functionality of the tool for end-users. Semistructured interviews were held with project leads, during which the project leads reviewed a summary of the survey results. The project leads reflected on the engagement efforts used in their project, then described lessons learned from the engagement experience and participant feedback. Common themes for ensuring effective engagement identified through thematic analysis included engaging end-users during product conceptualization; establishing clear roles and expectations; considering who end-users are and how end-users may use the tool; recruiting participants through your network, boundary spanners, and leadership; understanding individual use cases; communicating how feedback was integrated into the product; and strategically using virtual meeting tools. This guide shares practical steps and exercises for planning and facilitating effective engagement based on lessons learned from project leads and case study summaries of each project.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265137","programNote":"Biological Threats and Invasive Species Research Program","usgsCitation":"Clements, K.R., English, J.J., Wilkins, E.J., Moore, M.A., and Schuster, R., 2026, Practical guidance for engaging end-users and experts in developing scientific tools: U.S. Geological Survey Scientific Investigations Report 2026–5137, 63 p., https://doi.org/10.3133/sir20265137.","productDescription":"Report: vii, 63 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-176050","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504301,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265137/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5137"},{"id":503322,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5137/sir20265137.xml"},{"id":503321,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5137/images"},{"id":503320,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TZJ7B","text":"USGS data release","linkHelpText":"Survey Responses Collected in 2024 Measuring End-users' and Experts' Experiences Being Engaged in Development of Scientific Tools"},{"id":503319,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5137/sir20265137.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5137"},{"id":503318,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5137/coverthb.jpg"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
While conservation goals have long been pursued through traditional species-augmenting actions, a broader set of episodic ecosystem modification (EEM) actions, such as hydropower dam releases, prescribed fire, and beach nourishment, is garnering attention. EEM actions face several implementation challenges stemming from high opportunity costs, delayed effect mechanisms, reliance on monitoring for deployment timing, and outcome uncertainty due to infrequent use. In this paper, we study the use of EEM actions in the form of designer flows—ecologically-motivated releases of water into regulated river segments—to maintain a viable population of a threatened native fish species in the Colorado River. We demonstrate how the cost-effectiveness of EEM actions can be hampered by the complex and delayed effects on species viability, but enhanced through targeted monitoring for timing deployment and experimentation for reducing uncertainty about effectiveness.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jeem.2026.103358","usgsCitation":"Donovan, P., Bair, L., Reimer, M.N., Springborn, M.R., and Yackulic, C.B., 2026, Timing, uncertainty, and opportunity cost: Lessons for ecosystem modification on the Colorado River: Journal of Environmental Economics and Management, v. 139, 103358, 18 p., https://doi.org/10.1016/j.jeem.2026.103358.","productDescription":"103358, 18 p.","ipdsId":"IP-173247","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Colorado River, Little Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.92578388894441,\n 36.31842888072495\n ],\n [\n -111.64115996990965,\n 36.31842888072495\n ],\n [\n -111.64115996990965,\n 36.080581116654784\n ],\n [\n -111.92578388894441,\n 36.080581116654784\n ],\n [\n -111.92578388894441,\n 36.31842888072495\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.24642454429791,\n 37.03707643041851\n ],\n [\n -111.65363184207222,\n 37.03707643041851\n ],\n [\n -111.65363184207222,\n 36.808423431037184\n ],\n [\n -111.24642454429791,\n 36.808423431037184\n ],\n [\n -111.24642454429791,\n 37.03707643041851\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"139","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Pierce","contributorId":216838,"corporation":false,"usgs":false,"family":"Donovan","given":"Pierce","email":"","affiliations":[{"id":39527,"text":"University of California, Davis, CA; Agricultural and Resource Economics","active":true,"usgs":false}],"preferred":false,"id":961712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":961714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":961715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276253,"text":"70276253 - 2026 - Integrating mark-recapture, catch, and expert habitat assessments to quantify recent increases in humpback chub abundance over a 200 km long river segment of the Colorado River in western Grand Canyon","interactions":[],"lastModifiedDate":"2026-05-20T14:27:41.016836","indexId":"70276253","displayToPublicDate":"2026-05-13T09:20:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Integrating mark-recapture, catch, and expert habitat assessments to quantify recent increases in humpback chub abundance over a 200 km long river segment of the Colorado River in western Grand Canyon","docAbstract":"Humpback chub, Gila cypha, were historically distributed throughout large portions of the Colorado River basin and were federally listed in 1967. In the Grand Canyon segment of the Colorado River, located below Glen Canyon Dam, chub abundances continued to decline through the early 2000s. Recently, catch has increased substantially, especially in the western Grand Canyon. Here, we integrate mark-recapture and catch data of subadult and adult humpback chub, with expert assessments of habitat suitability and an underlying model of spatial autocorrelation, to estimate abundance in western Grand Canyon from 2010 to 2024, a time of rapid population increase and expansion. Our model suggests that adult abundance grew ∼160 fold during this 15-year period, with a median adult population abundance of 70 000 (40 000–200 000; 95% credible interval) in 2024. Our approach identifies years with high population growth and indicates that the spatial distribution has changed over time. We test the sensitivity of our results to movement into sampling reaches during sampling with baited hoop nets. Despite rapid population growth, the resilience of humpback chub in western Grand Canyon is unknown.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0169","usgsCitation":"Dzul, M.C., Van Haverbeke, D.R., Young, K., Yackulic, C.B., Rinker, P., and Yard, M., 2026, Integrating mark-recapture, catch, and expert habitat assessments to quantify recent increases in humpback chub abundance over a 200 km long river segment of the Colorado River in western Grand Canyon: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, p. 1-13, https://doi.org/10.1139/cjfas-2025-0169.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-178563","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2025-0169","text":"Publisher Index Page"},{"id":504549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.34788327857946,\n 36.947330456174\n ],\n [\n -114.00462379390913,\n 36.947330456174\n ],\n [\n -114.00462379390913,\n 35.57748137962305\n ],\n [\n -111.34788327857946,\n 35.57748137962305\n ],\n [\n -111.34788327857946,\n 36.947330456174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Haverbeke, David R.","contributorId":371444,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David","middleInitial":"R.","affiliations":[{"id":88144,"text":"retired, US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Kirk","contributorId":139191,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":961831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rinker, Pilar","contributorId":333651,"corporation":false,"usgs":false,"family":"Rinker","given":"Pilar","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":291738,"corporation":false,"usgs":false,"family":"Yard","given":"Michael D.","affiliations":[{"id":62744,"text":"Retired, US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":961834,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275725,"text":"70275725 - 2026 - Storm surge barriers reduce seaward sediment supply to lagoonal estuaries","interactions":[],"lastModifiedDate":"2026-05-14T13:56:24.356393","indexId":"70275725","displayToPublicDate":"2026-05-13T08:51:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Storm surge barriers reduce seaward sediment supply to lagoonal estuaries","docAbstract":"Numerical simulations with realistic forcing of fixed infrastructure for a proposed storm surge barrier for a lagoonal estuary, Jamaica Bay (New York, USA), are analyzed during typical forcing conditions to assess alterations to flow and sediment transport with the barrier open. Lagoonal estuaries are shallow and have modest watershed freshwater and sediment inputs, so sediment delivery is primarily from offshore by tidal transport. The storm surge barrier infrastructure across the inlet channel reduces cross-sectional area and increases tidal velocities, increasing frictional and form drag. The overall reduction in tidal amplitude is about 1%, but the quarterdiurnal M4 component decreases by 11%. The salinity and stratification in the estuary are only slightly modified by mixing by stronger velocities near the barrier. Sediment transport in the inlet scales approximately with tidal velocity cubed and net landward transport is driven by flood-dominant tidal asymmetry. Additionally, tidal asymmetry in the jet flow through barrier openings causes a divergence in sediment transport within several kilometers. The alterations to the tidal currents reduce sediment import to the bay by 20% for fine sand; transport of sediment with slower settling velocities is less affected, with reductions of 3% for medium silt and <1% for fine silt. The study examined tidal exchange with an open barrier, but the overall impact also depends on barrier operations during major storm events. The impacts of barrier infrastructure on lagoonal estuaries are distinct from other estuary types due to their modest freshwater input, predominance of tidal transport, and offshore sediment supply.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF007875","usgsCitation":"Ralston, D.K., Orton, P.M., Warner, J., and Kasaei, S., 2026, Storm surge barriers reduce seaward sediment supply to lagoonal estuaries: Earth's Future, v. 14, no. 5, e2025EF007875, 16 p., https://doi.org/10.1029/2025EF007875.","productDescription":"e2025EF007875, 16 p.","ipdsId":"IP-183962","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef007875","text":"Publisher Index Page"},{"id":504326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.74586877963497,\n 40.67986236990268\n ],\n [\n -73.95095086054383,\n 40.67986236990268\n ],\n [\n -73.95095086054383,\n 40.52706254930354\n ],\n [\n -73.74586877963497,\n 40.52706254930354\n ],\n [\n -73.74586877963497,\n 40.67986236990268\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ralston, David K.","contributorId":371319,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":88115,"text":"Applied Ocean Physics & Engineering, Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":961537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orton, Philip M.","contributorId":371320,"corporation":false,"usgs":false,"family":"Orton","given":"Philip","middleInitial":"M.","affiliations":[{"id":88116,"text":"Civil, Environmental & Ocean Engineering, Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasaei, Shima","contributorId":369142,"corporation":false,"usgs":false,"family":"Kasaei","given":"Shima","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","interactions":[{"subject":{"id":70265808,"text":"70265808 - 2025 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"70265808","publicationYear":"2025","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"predicate":"SUPERSEDED_BY","object":{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"sir20265005","publicationYear":"2026","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"id":1}],"lastModifiedDate":"2026-05-15T17:52:16.098628","indexId":"sir20265005","displayToPublicDate":"2026-05-12T10:30:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5005","displayTitle":"Salinas Valley Integrated Hydrologic and Reservoir Operations Models, Monterey and San Luis Obispo Counties, California","title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","docAbstract":"The area surrounding the Salinas Valley groundwater basin in Monterey and San Luis Obispo Counties of California is a highly productive agricultural area, contributes substantially to the local economy, and provides a substantial portion of vegetables and other agricultural commodities to the Nation. This region of California provides about half of the Nation’s lettuce, celery, broccoli, and spinach each year. Thus, this agricultural area provides substantial volumes of agricultural products not just for California but for the United States.
Changes in population and increased agricultural development, which includes a shift toward more water-intensive crops, and climate variability, have put increasing demand on both surface-water and groundwater resources in the valley. This situation has resulted in water management challenges in the Salinas Valley that generally relate to the distribution of the water supply throughout the basin. Where and when the water is present in the surface and subsurface does not coincide with where and when the water is needed. Historically, to deal with the distribution issue, water has been used conjunctively in the valley. Conjunctive use is a water management strategy that coordinates surface-water and groundwater use to maximize water availability. Groundwater is used throughout the Salinas Valley to meet water demands when surface-water supplies are insufficient. The availability of surface water is constrained by climate. Precipitation and streamflow vary seasonally and year to year. Although there are two reservoirs in the Salinas Valley to capture and store water during wet periods, the only conveyance of reservoir water to coastal agricultural areas is the Salinas River. Increasing demand for groundwater and surface-water resources throughout the Salinas Valley has resulted in undesirable effects from unsustainable water use, such as surface-water depletion, groundwater-level declines, storage depletion in the principal aquifers, and seawater intrusion. To address these escalating issues, local communities, water management agencies, and groundwater sustainability agencies are evaluating how to sustainably manage both their surface-water and groundwater resources. To meet water demands and reduce the undesirable effects of unsustainable water use, continued conjunctive management of surface water and groundwater would ideally incorporate strategies to deal with increases in demand and climate variability.
To evaluate the challenging water management issues in the Salinas Valley, the U.S. Geological Survey, Monterey County Water Resources Agency, and the Salinas Valley Basin Groundwater Sustainability Agency developed a comprehensive suite of models that represent the Salinas Valley hydrogeologic system called the Salinas Valley System Model. The geologic framework is known as the Salinas Valley Geologic Framework and was developed to characterize the subsurface using various topographic and geologic data sources, including information on hydrogeologic units, their surfaces and extents, geologic structures, lithology, and elevations from borehole data and cross sections, as well as details on faults and existing models. The surface-water model is called the Salinas Valley Watershed Model and simulates the Salinas River watershed. Monthly surface-water inflows into the integrated hydrologic model domain were simulated using the Salinas Valley Watershed Model. The historical model uses historical climate data, water and land use data, and reservoir releases to simulate agricultural operations, including landscape water demands, diversions, and reclaimed wastewater. The operational model adds an embedded reservoir operations framework to the simulation of the historical model that allows specified operational rules to simulate reservoir releases and changes in reservoir storage. The operational model assumes current reservoir operations and constant land use, which differs from historical conditions. Thus, the operational model is a hypothetical baseline model that can be used by local water managers to evaluate and quantify potential benefits of water supply projects. Together, the geologic framework, watershed, historical, and operational models form a tool that can be used to simulate irrigated agriculture and associated reservoir operations of the integrated hydrologic system of the Salinas Valley.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265005","collaboration":"Prepared in cooperation with Monterey County Resources Agency, Monterey County, and the Salinas Valley Basin Groundwater Sustainability Agency","usgsCitation":"Henson, W.R., Hanson, R., Boyce, S., Hevesi, J., Earll, M.M., Herbert, D.M., and Jachens, E.R., 2026, Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California: U.S. Geological Survey Scientific Investigations Report 2026–5005, 166 p., https://doi.org/10.3133/sir20265005. 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California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Essential to pasture health, dung beetles (Coleoptera: Scarabaeidae) provide key ecosystem services across natural and managed rangeland habitats. Insecticide residues in livestock dung can negatively impact dung beetle populations, and synergized pyrethroid products are commonly used to combat resistant pest fly populations. Here, permethrin residues were measured by GC-MS/MS in fresh cattle feces on Days −2 (pretreatment), 4, 8, 16, and 30 after the label rate application of a formulated pour-on treatment (a.i. 5% permethrin, 5% piperonyl butoxide [PBO]). Mean (± SE) measured permethrin concentrations were the highest on Day 4 at 1400 ± 360 ng of permethrin/g of dung (dry weight) with a maximum concentration of 2200 ng/g. Approximately, 99% of applied permethrin was excreted by Day 16, with no detection by Day 30. Field-collected dung was used in a 48-hour toxicity test and with three treatment groups (control [Day −2], low risk [Day 16], and high risk [Day 4]). Two temperate dung beetle species were tested: Onthophagus pennsylvanicus Harold and Canthon chalcites Haldeman. Mean (± SE) mortality of O. pennsylvanicus was 28 ± 5% and 58 ± 13% for low and high risk treatments, respectively. Mean (± SE) mortality of C. chalcites was lower than O. pennsylvanicus with 10 ± 4% and 40 ± 10% for low and high risk treatments, respectively. PBO was detected on Days 4 and 8, and the permethrin:PBO ratio was 10:1 on Day 4, i.e., high risk treatment. Data presented highlight episodic risks of pour-on products and support threshold-based, integrated pest management approaches.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2026.110511","usgsCitation":"Cavallaro, M.C., Hladik, M.L., Soares, R., Anderson, M., and Hoback, W.W., 2026, Toxicity of synergized permethrin residues in cattle dung to two temperate dung beetle species after application of common livestock pour-on treatment: Agriculture, Ecosystems, and Environment, v. 408, 110511, 8 p., https://doi.org/10.1016/j.agee.2026.110511.","productDescription":"110511, 8 p.","ipdsId":"IP-186435","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","county":"Lincoln County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-97.1428,35.9442],[-96.6228,35.9427],[-96.6228,35.7248],[-96.6233,35.6377],[-96.6247,35.5564],[-96.6253,35.4634],[-96.6254,35.4602],[-96.8274,35.4646],[-97.0381,35.4651],[-97.1437,35.4645],[-97.1452,35.6361],[-97.1436,35.7246],[-97.1438,35.8112],[-97.1433,35.8988],[-97.1405,35.8988],[-97.1409,35.9283],[-97.1428,35.9442]]]},\"properties\":{\"name\":\"Lincoln\",\"state\":\"OK\"}}]}","volume":"408","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":371379,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","middleInitial":"C.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soares, Rodrigo","contributorId":371380,"corporation":false,"usgs":false,"family":"Soares","given":"Rodrigo","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Mikaela","contributorId":371382,"corporation":false,"usgs":false,"family":"Anderson","given":"Mikaela","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoback, W. Wyatt","contributorId":371383,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275667,"text":"sir20265023 - 2026 - Top Elevation of Glacial Till and Thickness of the Big Sioux Aquifer Delineated From Electrical Resistivity Tomography Surveys Near Sioux Falls, South Dakota, 2022 and 2025","interactions":[],"lastModifiedDate":"2026-05-15T17:44:04.18892","indexId":"sir20265023","displayToPublicDate":"2026-05-12T09:48:23","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":"2026-5023","displayTitle":"Top Elevation of Glacial Till and Thickness of the Big Sioux Aquifer Delineated From Electrical Resistivity Tomography Surveys Near Sioux Falls, South Dakota, 2022 and 2025","title":"Top Elevation of Glacial Till and Thickness of the Big Sioux Aquifer Delineated From Electrical Resistivity Tomography Surveys Near Sioux Falls, South Dakota, 2022 and 2025","docAbstract":"The City of Sioux Falls, South Dakota, requested the U.S. Geological Survey perform electrical resistivity surveys on three parcels of land north of the city. Electrical resistivity data were collected along a total of 22 transects during March 14–18, 2022, and November 17–21, 2025. Results from electrical resistivity surveys were used to delineate the top of glacial till deposits for the purpose of characterizing the Big Sioux aquifer near the city. Delineating geologic contacts provides important information on groundwater storage, flow dynamics, well design and placement, contaminant transport, groundwater–surface-water interactions, and regional water modeling. The top elevation of glacial till and the thickness of the Big Sioux aquifer varied among the three survey areas. The interpreted top elevation of glacial till in the North survey area decreases from east to west toward a slough, with elevations ranging from 1,403 to 1,418 feet (ft). The estimated thickness of the Big Sioux aquifer in the North survey area increased from east to west, with thicknesses ranging from 23 to 38 ft. The top elevation of glacial till in the Well 72 survey area generally decreases from northwest to southeast. Top elevations of the glacial till in the Well 72 survey area ranged from 1,400 to 1,409 ft along the southern end of transect W72_2. The estimated thickness of the Big Sioux aquifer in the Well 72 survey area was greatest along a southeast to northwest trending channel, with thicknesses ranging from 28 to 40 ft. The top elevation of glacial till in the Nose survey area generally decreases west toward the Big Sioux River. Top elevations of the glacial till in the Nose survey area ranged from 1,362 to 1,395 ft. The estimated thickness of the Big Sioux aquifer in the Nose survey area ranged from 33 to 70 ft.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265023","collaboration":"Prepared in cooperation with City of Sioux Falls, South Dakota","usgsCitation":"Medler, C.J., and Anderson, T.M., 2026, Top elevation of glacial till and thickness of the Big Sioux aquifer delineated from electrical resistivity tomography surveys near Sioux Falls, South Dakota, 2022 and 2025: U.S. Geological Survey Scientific Investigations Report 2026–5023, 29 p., https://doi.org/10.3133/sir20265023.","productDescription":"Report: vi, 29 p.; Data Release","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-183750","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504431,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119412.htm","linkFileType":{"id":5,"text":"html"}},{"id":504116,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5023 XML"},{"id":504120,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P18XCLZT","text":"USGS data release","linkHelpText":"Electrical resistivity tomography (ERT) data collected March 14–18 and November 17–21 north of Sioux Falls, South Dakota"},{"id":504119,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5023/images"},{"id":504115,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265023/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5023 HTML"},{"id":504113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.pdf","text":"Report","size":"18.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5023"},{"id":504112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5023/coverthb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Big Sioux Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.783333,\n 43.58\n ],\n [\n -96.683333,\n 43.58\n ],\n [\n -96.683333,\n 43.666667\n ],\n [\n -96.783333,\n 43.666667\n ],\n [\n -96.783333,\n 43.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702
We present Paleocene-Eocene calcareous nannofossil biostratigraphy and paleoecology for the Surprise Hill core, U.S. Atlantic Coastal Plain, Virginia. Calcareous nannofossil datums ranging from Zone NP3 to NP14 were identified. The Danian-aged Brightseat Formation rests unconformably atop the Lower Cretaceous Potomac Group at 211.4 m and disconformably underlies the Aquia Formation at 208.8 m. The absence of Zone NP7 suggests a hiatus is present in the Aquia Formation (Zones NP5 – NP9a). The contact between the Marlboro Clay and the overlying Nanjemoy Formation (Zones NP10 – NP14) at 189.5 m is truncated. The Paleocene-Eocene transition is marked by a shift from glauconitic sands of the Aquia Formation to pelitic muds of the Marlboro Clay at 202.7 m. A 3–3.5‰ negative δ13C excursion of benthic foraminifer and a thin dissolution interval (201.6–202.5 m) are recorded in the basal Marlboro Clay. Nannofossil response to the Paleocene-Eocene Thermal Maximum (PETM) include (1) a bloom in taxa with affinities for changing salinity conditions just prior to the PETM basin wide (Hornibrookina australis arca), (2) a decline in taxa with ecological affinities for cool, eutrophic waters (Chiasmolithus bidens) during PETM, (3) fluctuations in mesotrophic to eutrophic, opportunistic taxa (e.g., Neochiastozygus junctus) during PETM, (4) successive turnovers in species of Toweius spp. during core-PETM and its recovery. Our findings suggest that overall nannofossil assemblages in the southernmost portion of the Salisbury Embayment responded similarly to assemblages from South Dover Bridge, but had differing response to local changes in nearshore paleoecology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2026.102579","usgsCitation":"Utsunomiya, M., Self-Trail, J., Kelly, D.C., Zhang, X., Gardner, K.F., and Zachos, J.C., 2026, Calcareous nannofossil assemblage changes in the Surprise Hill core and their implications for floral response to the Paleocene-Eocene Thermal Maximum across the Salisbury Embayment of Virginia, USA: Marine Micropaleontology, v. 204, 102579, 16 p., https://doi.org/10.1016/j.marmicro.2026.102579.","productDescription":"102579, 16 p.","ipdsId":"IP-177717","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":504528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Salisbury Embayment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.08415155370504,\n 39.13957782741775\n ],\n [\n -74.69851013944654,\n 39.13957782741775\n ],\n [\n -74.69851013944654,\n 36.704250606489865\n ],\n [\n -78.08415155370504,\n 36.704250606489865\n ],\n [\n -78.08415155370504,\n 39.13957782741775\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"204","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Utsunomiya, Masayuki","contributorId":347801,"corporation":false,"usgs":false,"family":"Utsunomiya","given":"Masayuki","affiliations":[{"id":83252,"text":"Research Institute of Geology and Geoinformation, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":961733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":961734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, D. Clay","contributorId":371372,"corporation":false,"usgs":false,"family":"Kelly","given":"D.","middleInitial":"Clay","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":961735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Xiaodong","contributorId":367741,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaodong","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":961736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":961737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zachos, James C.","contributorId":371373,"corporation":false,"usgs":false,"family":"Zachos","given":"James","middleInitial":"C.","affiliations":[],"preferred":false,"id":961738,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275712,"text":"70275712 - 2026 - Watershed Continuum Monitoring Approach: Combining multiple water quality patterns along stream and river flowpaths to track sources, pathways, and processing of pollutants","interactions":[],"lastModifiedDate":"2026-05-13T14:33:57.943771","indexId":"70275712","displayToPublicDate":"2026-05-12T09:25:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Watershed Continuum Monitoring Approach: Combining multiple water quality patterns along stream and river flowpaths to track sources, pathways, and processing of pollutants","docAbstract":"There is a growing need to improve and expand water quality monitoring approaches to more accurately track the sources, fate, and transport of multiple chemicals and pollutants holistically and quantify the effects of best management practices (BMPs) at the watershed scale. An overarching question raised by scientists, environmental managers, and the general public is: how far can water quality impacts from disturbances or benefits from watershed management and restoration propagate along stream and river flowpaths? Many studies using the classic watershed approach focus on analyzing changes in water quality over time at one or a few sampling stations, whereas theories such as the River Continuum Concept focus on predicting shifts in energy sources and biological communities along rivers but have not been directly applied to water quality. We propose to merge these concepts to create a Watershed Continuum Monitoring Approach (WCMA) that combines both spatial and temporal monitoring in order to better detect and quantify trends and transitions in multiple water quality indicators along flowpaths. Specifically, an array of multiple water quality indicators are analyzed at multiple downstream points along a watershed flowpath over time. These multiple water quality indicators are analyzed together for making comparisons to infer hydrological, biological, and geochemical processes controlling sources, transport, and attenuation of pollutants (e.g., analagous to stream tracer studies at the watershed scale). The WCMA leverages the natural expansion of watershed areas along a flowpath, which reflect transitions in land use, land cover, and environmental management across spatial and temporal dimensions for making direct comparisons across different stream reaches and spatial trend analysis. WCMA facilitates monitoring of multiple water quality indicators together, and identifcation of hot spots in sources and attenuation of pollutants or mixtures of pollutants. We illustrate practical applications of the WCMA to analyze water quality trends, transitions, and tradeoffs (i.e., a tradeoff occurs when one pollutant is reduced but another is directly or indirectly increased downstream). We explore case studies that quantify: (1) downstream reductions in concentrations of multiple pollutants along a stream flowing to a major drinking water source due to engineered and nature-based solutions, (2) downstream reductions in multiple pollutants and water quality tradeoffs along streams experiencing stormwater BMPs and stream restoration, (3) comparisons in downstream reductions of multiple pollutants and nutrient uptake along streams draining into major drinking water sources based on types of stream restoration, (4) comparisons of downstream pollutant reductions along streams experiencing riparian forest conservation vs. stream restoration, and (5) mapping and visualizing hot spots of increasing water quality problems such as hypoxia, contaminant mobilization, and freshwater salinization that extend downstream to tidal rivers of the Chesapeake Bay. We explore future applications of WCMA for tracking decreasing trends in salinity, E. coli, and other pollutants of emerging concern. WCMA can holistically inform progress towards achieving multiple water quality goals and also be used as a screening tool for selecting monitoring sites and targeting management in strategic locations. Overall, WCMA enables the simultaneous quantification and comparison of sources and transport and attenuation rates for different chemicals and pollutants across a broader range of watershed sizes and flowpath lengths, which is critical for understanding ecological, hydrological, geochemical, and biogeochemical processes along human-impacted streams and rivers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2026.107971","usgsCitation":"Kaushal, S., Mon, A., Grant, S., Mayer, P.M., Porter, A.J., Sekellick, A.J., Chase, J., Bhide, S., Jastram, J.D., Newcomer-Johnson, T., Shelton, S.A., Yaculak, A.M., Malin, J.T., Maas, C.M., Salanitri, N., Silberstein, D.J., Hohman, S.P., Dann, A.B., Slaughter, W.M., Rippy, M.A., Monofy, A., Shatkay, R.R., Reimer, J.E., Seppi, M., Noel, R., Mussa, J., Kellmayer, B., Sivirichi, G., Grese, M., Boger, W.L., Chanat, J.G., Duan, S., and Belt, K.T., 2026, Watershed Continuum Monitoring Approach: Combining multiple water quality patterns along stream and river flowpaths to track sources, pathways, and processing of pollutants: Ecological Engineering, v. 229, 107971, 23 p., https://doi.org/10.1016/j.ecoleng.2026.107971.","productDescription":"107971, 23 p.","ipdsId":"IP-180496","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":504373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2026.107971","text":"Publisher Index Page"},{"id":504302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"229","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaushal, Sujay","contributorId":210117,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":961478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mon, Ashley","contributorId":371274,"corporation":false,"usgs":false,"family":"Mon","given":"Ashley","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":961479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Stanley 0000-0001-6221-7211","orcid":"https://orcid.org/0000-0001-6221-7211","contributorId":298684,"corporation":false,"usgs":false,"family":"Grant","given":"Stanley","email":"","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":961480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Paul M. 0000-0002-8550-1386","orcid":"https://orcid.org/0000-0002-8550-1386","contributorId":371275,"corporation":false,"usgs":false,"family":"Mayer","given":"Paul","middleInitial":"M.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":961481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sekellick, Andrew J. 0000-0002-0440-7655","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":215462,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chase, Jason Hamilton 0000-0002-6923-4281","orcid":"https://orcid.org/0000-0002-6923-4281","contributorId":331638,"corporation":false,"usgs":true,"family":"Chase","given":"Jason Hamilton","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bhide, Shantanu 0000-0002-5248-0646","orcid":"https://orcid.org/0000-0002-5248-0646","contributorId":371280,"corporation":false,"usgs":false,"family":"Bhide","given":"Shantanu","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":961485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jastram, John D. 0000-0002-9416-3358 jdjastra@usgs.gov","orcid":"https://orcid.org/0000-0002-9416-3358","contributorId":3531,"corporation":false,"usgs":true,"family":"Jastram","given":"John","email":"jdjastra@usgs.gov","middleInitial":"D.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961486,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newcomer-Johnson, Tammy 0000-0002-2496-7641","orcid":"https://orcid.org/0000-0002-2496-7641","contributorId":248369,"corporation":false,"usgs":false,"family":"Newcomer-Johnson","given":"Tammy","email":"","affiliations":[{"id":49870,"text":"US EPA, Watershed & Ecosystem Characterization Division, Center for Envtl Measurement","active":true,"usgs":false}],"preferred":false,"id":961487,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shelton, Sydney A. 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Maryland","active":true,"usgs":false}],"preferred":false,"id":961507,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961508,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Duan, Shuiwang","contributorId":248866,"corporation":false,"usgs":false,"family":"Duan","given":"Shuiwang","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":961509,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Belt, Kenneth T. 0000-0002-4067-1541","orcid":"https://orcid.org/0000-0002-4067-1541","contributorId":371299,"corporation":false,"usgs":false,"family":"Belt","given":"Kenneth","middleInitial":"T.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":961510,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}} ,{"id":70275726,"text":"70275726 - 2026 - Effects of wildfire on soil hydraulic properties in the western Oregon Cascades","interactions":[],"lastModifiedDate":"2026-05-14T13:32:52.060066","indexId":"70275726","displayToPublicDate":"2026-05-12T08:22:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of wildfire on soil hydraulic properties in the western Oregon Cascades","docAbstract":"Wildfires can substantially impact the hydrology of forested watersheds, increasing the risk of hydrologic hazards such as flash floods and debris flows. Soil hydraulic properties related to infiltration are a key control in determining the timing and magnitude of these hydrogeomorphic events. In our study, we collected 445 soil cores from burned (216 cores) and unburned (229 cores) reference catchments and analyzed them for soil hydraulic properties 10 months after the 2022 Cedar Creek Fire in Oregon, USA. We observed significantly greater field-saturated hydraulic conductivity (Kfs), sorptivity (S), and wetting front potential (Ψf) in burned soils relative to unburned soils, with median ratios of 5.7, 4.4, and 5.0, respectively. Among low-, moderate-, and high burn severity groups, soil hydraulic properties were not statistically different. Reductions in median soil bulk density with increasing burn severity suggested an expansion of pore sizes, which may have been partially responsible for increasing Kfs and S. Additionally, in some burned soil samples, the increase in soil hydraulic properties may have been partially related to a concurrent reduction in “natural background” water repellency that is characteristic of dry, unburned soils in the Western Cascades. We observed no evidence of spatial autocorrelation in Kfs using semivariogram analysis. Principal component analysis paired with a k-means cluster analysis suggested that soil physical properties explained variations in soil hydraulic properties better than landscape attributes. Although there is a lack of regional results for comparison, our results trend in the opposite direction from drier, lower net primary productivity regions that are typically studied for post-wildfire soil hydraulic properties.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG009611","usgsCitation":"Pimont, C., Thaler, E.A., Ebel, B., and Bladon, K.D., 2026, Effects of wildfire on soil hydraulic properties in the western Oregon Cascades: JGR Biogeosciences, v. 131, no. 5, e2025JG009611, 20 p., https://doi.org/10.1029/2025JG009611.","productDescription":"e2025JG009611, 20 p.","ipdsId":"IP-184231","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":504374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jg009611","text":"Publisher Index Page"},{"id":504323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"western Oregon Cascades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3784,\n 43.8\n ],\n [\n -122.23,\n 43.8\n ],\n [\n -122.23,\n 43.62\n ],\n [\n -122.3784,\n 43.62\n ],\n [\n -122.3784,\n 43.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Pimont, Cedric","contributorId":371321,"corporation":false,"usgs":false,"family":"Pimont","given":"Cedric","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":961541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thaler, Evan A.","contributorId":371322,"corporation":false,"usgs":false,"family":"Thaler","given":"Evan","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":961542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":961543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bladon, Kevin D.","contributorId":371323,"corporation":false,"usgs":false,"family":"Bladon","given":"Kevin","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":961544,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275060,"text":"sir20265009 - 2026 - Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022","interactions":[],"lastModifiedDate":"2026-05-11T17:07:27.925508","indexId":"sir20265009","displayToPublicDate":"2026-05-11T11:05:55","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":"2026-5009","displayTitle":"Hydrogeologic Framework and Conceptual Groundwater-Flow Model of the Panhandle and Northwest Parts of the High Plains (Ogallala) Aquifer in Oklahoma, 1998–2022","title":"Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022","docAbstract":"This study was conducted by the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, to update the hydrogeologic framework and conceptual flow model for the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, which together compose the Ogallala aquifer focus area. The study included the construction of a potentiometric surface, and available geologic and hydrologic data were used to evaluate saturated thickness of the aquifer. The water budget for the updated conceptual groundwater-flow model was based on estimated inflows and outflows for the 1998–2022 study period.
Saturated thickness of the Ogallala aquifer averaged 127 and 116 feet for the panhandle and northwest parts, respectively. Groundwater withdrawals from the Ogallala aquifer for 1998–2022 averaged 422,054 and 39,645 acre-feet per year (acre-ft/yr) for the panhandle and northwest parts, respectively. Recharge, the primary inflow, was estimated at 0.63 inch per year for the 1998–2022 study period, with the panhandle part of the Ogallala aquifer receiving 175,068 acre-ft/yr and the northwest part of the Ogallala aquifer receiving 49,376 acre-ft/yr. Additional inflows included irrigation return flows, estimated at 8,111 and 642 acre-ft/yr for the panhandle and northwest parts, respectively, of the Ogallala aquifer. Net lateral groundwater flows, considered to be aquifer outflows, were estimated to account for 31,908 acre-ft/yr for the Ogallala aquifer focus area. Streambed seepage, which was an outflow of 5,535 acre-ft/yr, was only present in the northwest part of the Ogallala aquifer. Vertical leakage and saturated-zone evapotranspiration were considered negligible outflows. These findings provide a revised conceptual groundwater-flow model water budget for the Ogallala aquifer focus area in Oklahoma.
Compound flood events, the co-occurrence of multiple flood drivers, can result in flood hazard potential exceeding that of any single driver alone. To evaluate compound flooding in a semi-urbanized coastal area, historical records dating back to 1970 are used to study the co-occurrences of high precipitation, storm surge, and shallow groundwater conditions along the coastlines of New York and Connecticut. Joint return periods for coincident precipitation-surge events were computed using statistical dependence models and compared to the assumption of independence as a ratio, referred to here as a return period adjustment. Results indicate distinct seasonality where compound events in the area disproportionately occur in the cold season between October and April. Return period adjustments range from a factor of 1 to almost 9, demonstrating the range in precipitation-storm surge dependence across the study area. Across all 24 station triad locations, groundwater levels were elevated during times of precipitation- surge co-occurrence, reflecting the tendency for coastal storms and shallow groundwater conditions to co-occur seasonally. The result is a pseudo-trivariate compound flood hazard score and corresponding hazard map that integrates dependence between daily precipitation-surge events and overall monthly groundwater levels (as a precondition) into a relative compound hazard score. The location with the highest compound flood hazard score is on the south shore of Long Island, as well as locations across coastal Connecticut where groundwater levels compound the co-occurrence of heavy precipitation and storm surge.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-26-2169-2026","usgsCitation":"Glas, R.L., Herdman, L.M., Cook, S.E., Howlader, A., and Masterson, K., 2026, Hazard potential of compound flooding from rainfall, storm surge, and groundwater in coastal New York and Connecticut: Natural Hazards and Earth System Sciences, v. 26, p. 2169-2188, https://doi.org/10.5194/nhess-26-2169-2026.","productDescription":"20 p.","startPage":"2169","endPage":"2188","ipdsId":"IP-180131","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":504268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.81060260994941,\n 41.491420762682566\n ],\n [\n -73.98021540895226,\n 41.491420762682566\n ],\n [\n -73.98021540895226,\n 40.53771152556905\n ],\n [\n -71.81060260994941,\n 40.53771152556905\n ],\n [\n -71.81060260994941,\n 41.491420762682566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Salme Ellen 0000-0003-1129-6209","orcid":"https://orcid.org/0000-0003-1129-6209","contributorId":303775,"corporation":false,"usgs":true,"family":"Cook","given":"Salme","email":"","middleInitial":"Ellen","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howlader, Archi","contributorId":363192,"corporation":false,"usgs":false,"family":"Howlader","given":"Archi","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":951243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masterson, Kristina Kirkyla 0000-0001-7717-0751","orcid":"https://orcid.org/0000-0001-7717-0751","contributorId":357505,"corporation":false,"usgs":true,"family":"Masterson","given":"Kristina Kirkyla","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275753,"text":"70275753 - 2026 - Quantitative mineral resource assessment of lithium pegmatite deposits in the southern Appalachian orogen","interactions":[],"lastModifiedDate":"2026-05-18T15:50:01.253912","indexId":"70275753","displayToPublicDate":"2026-05-11T10:40:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative mineral resource assessment of lithium pegmatite deposits in the southern Appalachian orogen","docAbstract":"The first quantitative mineral resource assessment for undiscovered lithium pegmatite deposits in the southern Appalachian region of the United States was conducted. Permissive tracts for lithium pegmatite deposits were delineated by integrating lithological, tectonic, geochemical, geophysical and mineral occurrence data. Lithium pegmatite prospectivity of the tracts was ranked with simplified mappable criteria, including proximity to Paleozoic felsic intrusions and major lithotectonic structures, stream sediment geochemical anomalies, and pegmatite occurrence data. The geospatial data and permissive tracts were used to estimate the number of undiscovered lithium pegmatite deposits. These estimates were integrated into probabilistic simulations along with a new global lithium pegmatite grade and tonnage dataset to quantify potential contained undiscovered lithium resources. An economic filter was applied to convert the probabilistic estimates of contained lithium into recoverable material. The identified lithium pegmatite resources for the Carolina Lithium and Kings Mountain deposits, North Carolina, contain 1589 thousand tons (kt) of Li2O. The median contained undiscovered resource for the southern Appalachian orogen was estimated to be 2240 kt Li2O. At 90% confidence, the region contains at least 130 kt Li2O, and 10,700 kt at 10% confidence. After applying economic filters, the median recoverable contained resource was 1430 kt Li2O, corresponding to approximately 201 years of current lithium imports for consumption in the United States. North and South Carolina are likely to contain most of these resources. Coarse data resolution and intra-state variations in the geological data contribute to uncertainty of undiscovered lithium pegmatite resources. Continued efforts to harmonize disparate geospatial datasets with updated or new information can improve the accuracy and precision of estimated undiscovered lithium pegmatite resources in the study area and at broader scales.
","language":"English","publisher":"Springer","doi":"/10.1007/s11053-026-10689-w","usgsCitation":"Rosera, J.M., Crocker, K., Pianowski, L., Murchek, J., Wiens, A.M., Sanders, M.M., Evart, L., DeAngelo, J., Lederer, G.W., and Coyan, J.A., 2026, Quantitative mineral resource assessment of lithium pegmatite deposits in the southern Appalachian orogen: Natural Resources Research, https://doi.org//10.1007/s11053-026-10689-w.","ipdsId":"IP-173525","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-026-10689-w","text":"Publisher Index 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improve wild python detection","docAbstract":"The ongoing invasion of Python bivittatus (Burmese Python; henceforth, Python) across the Greater Everglades Ecosystem (GEE) has led to near total collapse of the affected mammal community over the past few decades. Management efforts to eliminate Pythons and control their spread have been hampered by the Python's low detectability, which may be improved by using a lure. In controlled settings, male Pythons show an attraction to the scent from reproductively active females. To test the effectiveness of using reproductively active female Pythons as a lure for attracting wild male Pythons in the field, we conducted a paired experiment with wild-caught female Pythons in pens and empty control pens. We monitored Python visitation at all sites using camera traps, which resulted in >3,000,000 photographs that we filtered to 4 independent detections of Pythons using AI software. Python detection was low at sites with female Pythons (3 observations) and control sites (1 observation) over 90 days at 12 sites. Stress associated with captivity may have halted reproductive females from producing pheromones, eliminating the chemosensory cue that lures males. Identifying and implementing husbandry techniques to reduce stress in wild-caught female Pythons could improve the effectiveness of this technique. Little is currently known about the chemical ecology of Pythons, and pheromonal communication in particular, and further research in this area could aid in the identification and production of effective, low-cost lures to increase detection and removal of this invasive species.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.025.0202","usgsCitation":"Potash, A.D., Jones, M., Kirkland, M., Cole, J., Hart, K., and McCleery, R.A., 2026, Not so fatal attraction: Captive female Burmese Python lures do not improve wild python detection: Southeastern Naturalist, v. 25, no. 2, p. 191-200, https://doi.org/10.1656/058.025.0202.","productDescription":"10 p.","startPage":"191","endPage":"200","ipdsId":"IP-171939","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504814,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1656/058.025.0202","text":"Publisher Index Page"},{"id":504737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.9113633,\n 25.0828411\n ],\n [\n -80.2821334,\n 25.2766925\n ],\n [\n -80.3892363,\n 25.8925219\n ],\n [\n -80.3624606,\n 26.2412774\n ],\n [\n -80.3490727,\n 26.529114\n ],\n [\n -81.9020657,\n 26.6727626\n ],\n [\n -81.9823929,\n 26.4212593\n ],\n [\n -81.7949628,\n 26.0970908\n ],\n [\n -81.460266,\n 25.8081843\n ],\n [\n -81.2058964,\n 25.3735024\n ],\n [\n -81.152345,\n 25.0828411\n ],\n [\n -80.9113633,\n 25.0828411\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Potash, Alex D.","contributorId":371572,"corporation":false,"usgs":false,"family":"Potash","given":"Alex","middleInitial":"D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":962039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Maggie","contributorId":371542,"corporation":false,"usgs":false,"family":"Jones","given":"Maggie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":962040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirkland, Michael","contributorId":301069,"corporation":false,"usgs":false,"family":"Kirkland","given":"Michael","email":"","affiliations":[{"id":36603,"text":"SFWMD","active":true,"usgs":false}],"preferred":false,"id":962041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Jenna","contributorId":371543,"corporation":false,"usgs":false,"family":"Cole","given":"Jenna","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":962042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":962043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCleery, Robert A. 0000-0001-7018-005X","orcid":"https://orcid.org/0000-0001-7018-005X","contributorId":364399,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","middleInitial":"A.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":962044,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276249,"text":"70276249 - 2026 - Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","interactions":[],"lastModifiedDate":"2026-05-20T14:57:35.282917","indexId":"70276249","displayToPublicDate":"2026-05-11T09:52:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","title":"Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","docAbstract":"The life history of hard-shelled sea turtles includes several ontogenetic shifts in habitat use and these complex permanent emigration patterns can impact estimates of stage-specific population rates, including survival. We developed several multistate mark recapture models to estimate survival of adult and juvenile loggerhead turtles from a coastal bay in the northern Gulf of America (also commonly referred to as the Gulf of Mexico) while, in some cases, accounting for permanent emigration and transient individuals. Our mark-recapture dataset consisted of 228 individual turtles with 37 total recaptures from 2011 to 2024. Of the models we fit, those that incorporated emigration produced higher estimates for annual survival than models that did not, and higher estimates than what is commonly seen in the literature for loggerheads. All models suggested a major permanent emigration pulse at the typical size of sexual maturity (70 cm straight carapace length) and another major pulse at > 90 cm. This bimodal pattern of departure may reflect differences in size at sexual maturity among loggerheads, possible genetic variability within the assemblage, or both. To assess the models’ ability to effectively recover true parameter values, we developed a simulation study of 50 randomly generated independent data sets under our specified models of similar sample size to our study dataset. Simulation results suggested that models that accounted for permanent emigration and transient individuals produced relatively unbiased estimates of survival, while models that did not often underestimated survival rates. Mark-recapture studies that may exhibit emigration and suffer from low recapture rates would benefit from auxiliary data collection such as acoustic telemetry detections to better estimate true rates of emigration and survival. Obtaining unbiased estimates of true survival by accounting for processes like emigration can support effective conservation of endangered long-lived species like loggerheads.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00227-026-04842-5","usgsCitation":"Blommel, C.M., Lamont, M., and Kendall, W.L., 2026, Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area: Marine Biology, v. 173, no. 6, 95, 15 p., https://doi.org/10.1007/s00227-026-04842-5.","productDescription":"95, 15 p.","ipdsId":"IP-182417","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504655,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-026-04842-5","text":"Publisher Index Page"},{"id":504575,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13E4PMT","text":"USGS data release","linkHelpText":"Mark recapture data for loggerhead sea turtles in St. Joseph Bay, FL from 2011-2024"},{"id":504551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.47559331382445,\n 29.90905541130931\n ],\n [\n -85.25446694849322,\n 29.90905541130931\n ],\n [\n -85.25446694849322,\n 29.64361905224979\n ],\n [\n -85.47559331382445,\n 29.64361905224979\n ],\n [\n -85.47559331382445,\n 29.90905541130931\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"173","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Blommel, Caroline M. 0000-0002-1716-2706","orcid":"https://orcid.org/0000-0002-1716-2706","contributorId":371440,"corporation":false,"usgs":false,"family":"Blommel","given":"Caroline","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":961824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206258,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":961826,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276263,"text":"70276263 - 2026 - Tropicalization of the temperate zone: Spatiotemporal variability of winter warming and declining freeze days across the United States","interactions":[],"lastModifiedDate":"2026-05-21T14:35:32.399684","indexId":"70276263","displayToPublicDate":"2026-05-11T09:30:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Tropicalization of the temperate zone: Spatiotemporal variability of winter warming and declining freeze days across the United States","docAbstract":"We investigate changes in cool-season and winter daily minimum (Tmin) and maximum (Tmax) temperatures, and the occurrence of freeze days, from 1952 to 2024 across the conterminous United States (CONUS). Emphasis is placed on the tropical-temperate transition zone (TTTz) in the southeastern CONUS. During winter, ~70% of the land area exhibited Tmin warming rates exceeding those of Tmax. The countywide coldest Tmin became milder across 57% of the CONUS, while the coldest Tmax showed little change and even cooled east of the Rocky Mountains in the central CONUS. Across the TTTz, 75% of freeze days occur within a ~25–100-day window, often fewer than 75 days in the southernmost areas. Approximately 80% of counties exhibited significant contractions in freeze-day concentration, with the largest and most spatially consistent changes occurring in the Southeast, primarily driven by later start dates. Roughly 85% of the CONUS experienced a significant decline in freeze days, with the largest relative declines in regions where average winter Tmin is above freezing, while parts of the Pacific Northwest showed no significant change. An analysis of freeze day isopleths (30, 45, 60 and 75 days) across 20-year periods showed that the mean latitude of freeze days has migrated poleward substantially. Between 101° W and 79° W in the TTTz, the 30 freeze-day isopleth for the late period (2005–2024) was, on average, 122 km (~1.1° latitude) farther north than in the early period (1952–1971). Generally, the largest latitudinal shifts and percentage losses in freeze days occurred across low-elevation, low-relief regions at lower latitudes (e.g., the Mississippi River Valley), with abrupt shifts occurring near topographic gradients. Regions with sharp elevational gradients (e.g., Balcones Escarpment, Ouachita Mountains and Tennessee Valley) exhibited smaller temporal changes, likely reflecting the barrier-like influence of higher terrain on the poleward retreat of freeze days.
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University","active":true,"usgs":false}],"preferred":false,"id":961859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFee, Buren B.","contributorId":371461,"corporation":false,"usgs":false,"family":"DeFee","given":"Buren","middleInitial":"B.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":961860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219650,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keim, Barry D.","contributorId":371467,"corporation":false,"usgs":false,"family":"Keim","given":"Barry","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":961862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275735,"text":"70275735 - 2026 - Variability and consistency in wildfire susceptibility: Insights from a national compilation","interactions":[],"lastModifiedDate":"2026-05-15T13:16:54.003888","indexId":"70275735","displayToPublicDate":"2026-05-11T09:19:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Variability and consistency in wildfire susceptibility: Insights from a national compilation","docAbstract":"Wildfire risk in the United States is rising and remains a land management priority. The quantitative wildfire risk assessment (QWRA) framework integrates fuels, topography, weather and values at risk to estimate the potential change in value from wildfire. Within this, response functions (RFs) represent how values respond to fire intensity. These are often based on expert judgment, but variation across assessments is unclear.
This study uses data from the US Geological Survey (USGS) Wildfire Hazard and Risk Assessment Clearinghouse to characterize consistency and variation across categories and contexts.
We applied descriptive statistics to summarize RFs, using tables, box-and-whisker plots and heat maps stratified by highly valued resource or asset (HVRA) category and spatial scale.
RFs and value definitions vary, especially for ecosystem-related resources. Some functions, such as for buildings in the wildland–urban interface (WUI), translate well across contexts, while others require more input.
Some functions are broadly transferable, while others need customization. This analysis provides references and starting points for improvement to RFs in QWRAs.
Expanding the clearinghouse and dataset and building more transparency in expert elicitation can build trust among communities, agencies and end-users, and can support efficient use of limited resources to mitigate wildfire risk.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF25219","usgsCitation":"Russell, A., Bair, L., Meldrum, J.R., and Hawbaker, T., 2026, Variability and consistency in wildfire susceptibility: Insights from a national compilation: International Journal of Wildland Fire, v. 35, no. 5, WF25219, 14 p., https://doi.org/10.1071/WF25219.","productDescription":"WF25219, 14 p.","ipdsId":"IP-182497","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504330,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504378,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf25219","text":"Publisher Index Page"}],"country":"United States","volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Aaron Daniel 0000-0003-3980-827X","orcid":"https://orcid.org/0000-0003-3980-827X","contributorId":355854,"corporation":false,"usgs":true,"family":"Russell","given":"Aaron Daniel","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":222615,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275703,"text":"70275703 - 2026 - Patterns of floodplain forest mortality and recruitment along the Upper Mississippi and Illinois Rivers: Associations with forest fragmentation and flood inundation","interactions":[],"lastModifiedDate":"2026-05-13T14:23:56.148281","indexId":"70275703","displayToPublicDate":"2026-05-11T09:18:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of floodplain forest mortality and recruitment along the Upper Mississippi and Illinois Rivers: Associations with forest fragmentation and flood inundation","docAbstract":"Different rates of floodplain forest recruitment and mortality can reveal important changes in ecosystem processes that drive forest dynamics, resulting in net changes in forest cover, thereby influencing a wide range of river habitat and morphological characteristics.
We evaluated characteristics of forest change areas in the Upper Mississippi River System.
An overlay technique was used to map patches of forest loss, gain, and persistence between 2010 and 2020 in relation to a series of explanatory variables.
We quantified a net decline in forest cover ranging from 3.2 to 16.8% in the uppermost five study reaches, and a net increase in forest cover ranging from 0.5 to 4.6% in the southernmost three reaches. Patches of forest loss and persistence were similarly tall (> 15 m), dense (> 90% cover), silver maple (Acer saccharinum) dominated forests, whereas forest gain patches were short (< 15 m), less dense (< 66% cover) and more likely to be dominated by willow (Salix) species. Both forest loss and gain patches were smaller than forest persistence patches and were typically found in areas with low neighborhood forest density (< 50% forested 10 ha neighborhood). Areas that experienced more than three flood events per growing season, more than 100 consecutive days of inundation during a single flood event, and more than 60 mean total days of inundation per growing season from 2011 to 2020 showed a net loss of forest cover in all study reaches. In contrast, net increases in forest cover were restricted to areas that experienced less than a single flood event per growing season, less than 40 consecutive days of inundation during a single flood event and less than 30 mean total days of inundation per growing season from 2011 to 2020.
Forest mortality along these river reaches is associated with forest fragmentation and an increasingly wetter hydrological regime.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-025-02286-8","usgsCitation":"De Jager, N.R., Rohweder, J.J., Van Appledorn, M., Weiss, S.A., Trumper, M., and Guyon, L.J., 2026, Patterns of floodplain forest mortality and recruitment along the Upper Mississippi and Illinois Rivers: Associations with forest fragmentation and flood inundation: Landscape Ecology, v. 41, 90, 25 p., https://doi.org/10.1007/s10980-025-02286-8.","productDescription":"90, 25 p.","ipdsId":"IP-180163","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02286-8","text":"Publisher Index Page"},{"id":504300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi and Illinois Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 46\n ],\n [\n -86,\n 46\n ],\n [\n -86,\n 36.633102878335635\n ],\n [\n -96,\n 36.633102878335635\n ],\n [\n -96,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Shelby A.","contributorId":368922,"corporation":false,"usgs":false,"family":"Weiss","given":"Shelby","middleInitial":"A.","affiliations":[{"id":55549,"text":"National Great Rivers Research and Education Center","active":true,"usgs":false}],"preferred":false,"id":961445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trumper, Matthew","contributorId":369810,"corporation":false,"usgs":false,"family":"Trumper","given":"Matthew","affiliations":[{"id":87852,"text":"Former Upper Midwest Environmental Sciences Employee","active":true,"usgs":false}],"preferred":false,"id":961446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guyon, Lyle J.","contributorId":215690,"corporation":false,"usgs":false,"family":"Guyon","given":"Lyle","email":"","middleInitial":"J.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":961447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275733,"text":"70275733 - 2026 - Temporal and spatial changes in seismic attenuation associated with inferred fluid migration in the 2016 central Apennines earthquake sequence","interactions":[],"lastModifiedDate":"2026-05-14T14:18:15.916408","indexId":"70275733","displayToPublicDate":"2026-05-11T09:08:37","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":"Temporal and spatial changes in seismic attenuation associated with inferred fluid migration in the 2016 central Apennines earthquake sequence","docAbstract":"Prior work suggests that high‐frequency seismic attenuation acts as a highly sensitive proxy for crustal permeability and fluid mobility in fractured media. We test the hypothesis that the fault system responsible for the 2016–2017 Amatrice–Visso–Norcia–Capitignano sequence acted as an impermeable seal, compartmentalizing pressurized fluids until dynamic rupture triggered widespread fluid diffusion. By tracking across the sequence the spatiotemporal evolution of the S‐wave anelastic attenuation parameter, we identify large, positive low‐frequency attenuation anomalies emerging within the hanging wall following the Amatrice mainshock and strictly preceding subsequent large ruptures. Conversely, we observe weaker, negative anomalies in the footwall, anticorrelated in time with those of the hanging wall, revealing a massive asymmetry in fluid redistribution and permeability evolution across the fault system. Furthermore, aftershock migration rates reveal distinct linear alignments in a distance‐reduced time space, allowing us to explicitly track and quantify episodes of lateral and upward fluid migration. These physically consistent patterns suggest that stress‐driven fluid diffusion directly weakens adjacent fault patches, dictating the spatiotemporal migration of seismicity. We conclude that near‐real‐time monitoring of seismic attenuation may help detect fluid redistribution in active fault systems and may provide useful information for time‐dependent seismic hazard assessment.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250262","collaboration":"National Institute of Geophysics and Volcanology (INGV), UC Berkeley","usgsCitation":"Malagnini, L., Lucente, F.P., Munafo, I., Dreger, D.S., Parsons, T.E., and Burgmann, R., 2026, Temporal and spatial changes in seismic attenuation associated with inferred fluid migration in the 2016 central Apennines earthquake sequence: Bulletin of the Seismological Society of America, https://doi.org/10.1785/0120250262.","ipdsId":"IP-187298","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"central Apennines","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 12.5,\n 43.333\n ],\n [\n 13.75,\n 43.333\n ],\n [\n 13.75,\n 42.333\n ],\n [\n 12.5,\n 42.333\n ],\n [\n 12.5,\n 43.333\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":961568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucente, Francesco Pio","contributorId":371339,"corporation":false,"usgs":false,"family":"Lucente","given":"Francesco","middleInitial":"Pio","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":961569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munafo, Irene","contributorId":294359,"corporation":false,"usgs":false,"family":"Munafo","given":"Irene","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":961570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dreger, Douglas S.","contributorId":371340,"corporation":false,"usgs":false,"family":"Dreger","given":"Douglas","middleInitial":"S.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":961571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burgmann, Roland","contributorId":192700,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":961573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275694,"text":"70275694 - 2026 - Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers","interactions":[],"lastModifiedDate":"2026-05-12T13:47:57.040645","indexId":"70275694","displayToPublicDate":"2026-05-11T08:46:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers","docAbstract":"Information on river velocities enhances understanding flood hazards, evaluating habitat conditions, and predicting the transport of floating materials. In this follow-up study, we used data from two new sites, one with a more complex morphology and the other with a lower suspended sediment concentration, to provide further evidence that Moving Aircraft River Velocimetry (MARV) can yield accurate velocity estimates ( R2 up to 0.87 when compared to field measurements) for long segments of large, turbid rivers. The MARV workflow is packaged in freely available software and is robust to implementation details; neither buffering to mitigate edge effects nor a new approach to aggregating velocity vectors improved performance. MARV was not sensitive to parameters used to establish overlapping image sequences, but combining a long window with a short jump between consecutive windows was the optimal configuration. Although accuracy varied from one cross section to the next, agreement between remotely sensed velocities and those measured in the field was independent of position within a frame range. As an initial step toward application of the approach to help address practical problems, we showed how MARV can drive particle tracking models. Our first-order simulations suggest that channel morphology and flow velocity are the primary controls on travel time and particle fate, with diffusive processes playing a lesser role. Although MARV can be used to characterize an instantaneous flow field, a more comprehensive framework that accounts for other physical processes would be required to model specific types of events like oil spills.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR043181","usgsCitation":"Legleiter, C.J., Kinzel, P.J., Laker, M., and Conaway, J., 2026, Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers: Water Resources Research, v. 62, no. 5, e2025WR043181, 36 p., https://doi.org/10.1029/2025WR043181.","productDescription":"e2025WR043181, 36 p.","ipdsId":"IP-184216","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr043181","text":"Publisher Index Page"},{"id":504278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanana River, Yukon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.75570313334435,\n 65.91143177654979\n ],\n [\n -149.47674302069896,\n 65.91143177654979\n ],\n [\n -149.47674302069896,\n 65.84208480633984\n ],\n [\n -149.75570313334435,\n 65.84208480633984\n ],\n [\n -149.75570313334435,\n 65.91143177654979\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.77263488160432,\n 64.18041091114998\n ],\n [\n -145.87601297288305,\n 64.18041091114998\n ],\n [\n -145.87601297288305,\n 64.1422606892462\n ],\n [\n -145.77263488160432,\n 64.1422606892462\n ],\n [\n -145.77263488160432,\n 64.18041091114998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":961428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laker, Mark","contributorId":298315,"corporation":false,"usgs":false,"family":"Laker","given":"Mark","email":"","affiliations":[{"id":64530,"text":"U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":961430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":961431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","interactions":[{"subject":{"id":70275001,"text":"70275001 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","indexId":"70275001","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire"},"predicate":"SUPERSEDED_BY","object":{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","indexId":"sir20265008","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire"},"id":1}],"lastModifiedDate":"2026-05-11T20:03:08.256856","indexId":"sir20265008","displayToPublicDate":"2026-05-11T08:11:01","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":"2026-5008","displayTitle":"Simulation of Groundwater Flow To Evaluate Hydrogeologic Controls on a PFAS Plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","docAbstract":"Per- and polyfluoroalkyl substances (PFAS), including perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), have been detected at combined concentrations above 2,000 nanograms per liter (ng/L) at groundwater seep locations near the Coakley Landfill Superfund site, in North Hampton, New Hampshire. The landfill was active from 1972 to 1985. An impermeable cap was placed on the landfill in 1998. The adjacent area to the Coakley Landfill has many water supply wells, and transport of PFAS compounds to the wells is a concern. Fracture anisotropy in the underlying bedrock aquifer complicates the understanding of PFAS transport because groundwater preferentially travels along fractures that may not align with the prevailing groundwater flow direction.
In 2018, the U.S. Environmental Protection Agency and the U.S. Geological Survey began an investigation of the groundwater flow from the Coakley Landfill site. This report describes the modification of a numerical groundwater-flow model for the local area around the Coakley Landfill and summarizes findings of the investigation. In addition, this report includes a brief description of PFOA and PFOS occurrence, a discussion of model construction, evaluation of model performance through calibration, and discussion of simulation results for two periods (before and after capping). Limitations are also discussed.
Results show that simulated groundwater flow moves from the Coakley Landfill to the west and north. Advective transport modeling using particle tracking shows that groundwater from the landfill discharges primarily to streams to the west and north, and a small amount is transported to distal wells. Dilution of contaminants through advection and dispersion likely plays a role in whether PFAS compounds from the landfill will be detected above laboratory reporting levels at distal wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265008","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Harte, P.T., and Collins, A.L., 2026, Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire: U.S. Geological Survey Scientific Investigations Report 2026–5008, 41 p., https://doi.org/10.3133/sir20265008. [Supersedes preprint https://doi.org/10.31223/X53761.]","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-107565","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":504037,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20085222","text":"Scientific Investigations Report 2008–5222","linkHelpText":"- Assessment of ground-water resources in the Seacoast region of New Hampshire"},{"id":504036,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14LJKCX","text":"USGS data release","linkHelpText":"MODFLOW-NWT and MODPATH6 files used for groundwater-flow simulation and pathline analyses in the vicinity of the Coakley Landfill Superfund site, Rockingham County, New Hampshire"},{"id":504274,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119411.htm","linkFileType":{"id":5,"text":"html"}},{"id":504035,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5008/images"},{"id":504258,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P909PUIP","text":"USGS data release","linkHelpText":"- MODFLOW-NWT upgrade and preliminary-assessment of a groundwater-flow model of the seacoast bedrock aquifer, New Hampshire"},{"id":504034,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5008/sir20265008.XML","description":"SIR 2026-5008 XML"},{"id":504033,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265008/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5008 HTML"},{"id":504032,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5008/coverthb.jpg"},{"id":504031,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5008/sir20265008.pdf","text":"Report","size":"12.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5008 PDF"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Coakley Landfill Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6749026,\n 43.0695834\n ],\n [\n -70.879635,\n 43.166483\n ],\n [\n -71.0413642,\n 42.8390034\n ],\n [\n -70.7936287,\n 42.8136348\n ],\n [\n -70.6749026,\n 43.0695834\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
A class of chemicals called per- and polyfluoroalkyl substances (PFAS) has been seeping from the Coakley Landfill in southeastern New Hampshire to the local groundwater. The movement of the groundwater is complex because of the local geology, and more information is needed about where PFAS goes after it comes out of the landfill. The U.S. Geological Survey worked with the U.S. Environmental Protection Agency to understand more about how PFAS move from the landfill through the local groundwater and why concentrations are higher in some places than in others. A computer groundwater model of the Coakley Landfill area was developed based on an older groundwater model for southeast New Hampshire, and the new model was used to explore how soil, bedrock, rain or snowmelt infiltration, and bedrock fractures affect the speed and direction of groundwater flow. The new model was refined using recently collected data from the bedrock aquifer, where the greatest contamination from the Coakley Landfill has been detected. A modeling technique called particle tracking was used to estimate where groundwater travels from the landfill. The model shows that groundwater flows primarily to the west, north, and northeast from the landfill, likely following bedrock fractures. Some groundwater flow paths originating at the landfill eventually come to the surface in streams, up to about 3 miles away from the landfill. These flow paths predicted by the model may explain why there have been PFAS detections in wells relatively far from the landfill. However, predicted groundwater flow paths do not account for some factors that could reduce the total travel distance of contaminants, like dilution, mixing, and adsorption. Model results show that an impermeable cap placed on the landfill in 1998 reduces the amount of rain and snowmelt that flow into the landfill.
","publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":217273,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275789,"text":"70275789 - 2026 - Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement","interactions":[],"lastModifiedDate":"2026-05-19T13:56:31.436489","indexId":"70275789","displayToPublicDate":"2026-05-08T08:50:54","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":"Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement","docAbstract":"Rapid global acceleration in the construction of physical barriers along international borders has greatly influenced biodiversity and animal movement. Physical barriers can fragment landscapes, hinder access to essential resources, impact long-distance migrations, and inhibit dispersal and gene flow. The effects of physical barriers on animal movement and landscape connectivity can be exacerbated in dryland environments where access to water is a limiting factor. In recent decades, the construction of border barrier infrastructure has accelerated along the international boundary between the United States and Mexico. Here, we used a landscape connectivity model to investigate the effects of barriers on wildlife access to the river in the Lower Rio Grande Valley. We used a modified omnidirectional connectivity model to compare access to the river for three large, terrestrial mammal species across three border barrier scenarios: (1) a landscape without border barriers; (2) a landscape with the existing barrier system; and (3) a potential future landscape with a continuous barrier system. The existing barrier system includes many discrete sections of barrier within tracts of the Lower Rio Grande Valley National Wildlife Refuge or on lands associated with the region's flood control system. Our results indicate that the existing border barriers can impede connectivity and wildlife access to the river in some areas, while some existing gaps between border barrier sections can serve as conduits for wildlife movement and river access. Our future scenario results show how a potential continuous border barrier system could further impede wildlife access to the river. We discuss management and landscape conservation options for enhancing wildlife access to water and riverine habitats. Collectively, our results illustrate the potential effects of border barriers on wildlife movement and access to water, providing information that can be used to better anticipate and lessen the ecological impacts of transboundary barriers.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70888","usgsCitation":"Chivoiu, B., Koen, E.L., Osland, M., Gabler, C.A., Garrett, J.T., Reyes, E., Bilodeau, S.A., Sternberg, M.A., Villarreal, M.L., Waller, E.K., Chambers, S.N., Benavides, J.A., Lawson, R.S., and Martinez, J., 2026, Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement: Global Change Biology, v. 32, no. 5, e70888, 16 p., https://doi.org/10.1111/gcb.70888.","productDescription":"e70888, 16 p.","ipdsId":"IP-178984","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504648,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13155767/","text":"External Repository"},{"id":504577,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1KT9Y3A","text":"USGS data release","linkHelpText":"Land cover dataset for the Lower Rio Grande Valley (2023)"},{"id":504576,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P16WUBDY","text":"USGS data release","linkHelpText":"Modeling data for landscape connectivity and wildlife access to water across an international border"},{"id":504522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Tamaulipas, Texas","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.31616506764966,\n 26.756446591259376\n ],\n [\n -97.12393085477446,\n 26.756446591259376\n ],\n [\n -97.12393085477446,\n 25.753367645592732\n ],\n [\n -99.31616506764966,\n 25.753367645592732\n ],\n [\n -99.31616506764966,\n 26.756446591259376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":961769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koen, Erin L. 0000-0001-9481-7692","orcid":"https://orcid.org/0000-0001-9481-7692","contributorId":330539,"corporation":false,"usgs":false,"family":"Koen","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":78927,"text":"Cherokee Nation Systems Solutions","active":true,"usgs":false}],"preferred":false,"id":961770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 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