{"pageNumber":"6","pageRowStart":"125","pageSize":"25","recordCount":184553,"records":[{"id":70274558,"text":"70274558 - 2026 - Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin","interactions":[],"lastModifiedDate":"2026-04-01T21:50:31.887349","indexId":"70274558","displayToPublicDate":"2026-02-24T14:37:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin","docAbstract":"

Accurate estimation of earthquake source parameters—such as moment magnitudes, corner frequencies, and stress drops—is essential for improving seismic hazard assessments and understanding earthquake physics. In this study, moment magnitudes (MW) are calculated for 31,581 earthquakes associated with wastewater injection in the Raton Basin (located along the border between northern New Mexico and southern Colorado) between 2016 and 2024 using radiative transfer theory to fit coda decay envelopes. Our results show that it is feasible to estimate moment magnitudes down to MW ~1 with coda envelopes from a small local monitoring network. Significant differences were found between MW and local magnitudes (ML) for small earthquakes (M < 3.0). A linear relationship was optimized to convert ML to MW: MW = 0.7ML + 0.96 and MW = 0.73 ML + 0.99 (for the events reported by the U.S. Geological Survey), which can be applied in future studies of Raton Basin seismicity. We find that b-values calculated employing different methods and using ML are approximately 1.0, while those using MWrange from 1.2 to 1.4. A larger estimate of the b-value could influence interpretations of the statistical behavior of earthquakes associated with injection and consequently seismic hazard assessments based on a magnitude–frequency distribution. The potential differences between local versus moment magnitude-based earthquake statistics should be considered in other seismically active regions.

","language":"English","publisher":"OJS/PKP","doi":"10.26443/seismica.v5i1.1959","usgsCitation":"Peña Castro, A.F., Schmandt, B., Glasgow, M.E., Jamalreyhani, M., Wang, R., and Cochran, E.S., 2026, Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin: Seismica, v. 5, no. 1, https://doi.org/10.26443/seismica.v5i1.1959.","ipdsId":"IP-184368","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v5i1.1959","text":"Publisher Index Page"},{"id":501971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Raton Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.24926766137641,\n 37.611350405105966\n ],\n [\n -105.24926766137641,\n 36.42804218168048\n ],\n [\n -103.59544227593408,\n 36.42804218168048\n ],\n [\n -103.59544227593408,\n 37.611350405105966\n ],\n [\n -105.24926766137641,\n 37.611350405105966\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Peña Castro, Andres Felipe","contributorId":369025,"corporation":false,"usgs":false,"family":"Peña Castro","given":"Andres","middleInitial":"Felipe","affiliations":[{"id":87700,"text":"University of New Mexico Dept of Earth and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":958303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":958304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jamalreyhani, Mohammadreza","contributorId":236673,"corporation":false,"usgs":false,"family":"Jamalreyhani","given":"Mohammadreza","affiliations":[{"id":47513,"text":"1: Institute of Geophysics, University of Tehran, Iran. 2: GFZ German research centre for geosciences, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":958306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ruijia","contributorId":357742,"corporation":false,"usgs":false,"family":"Wang","given":"Ruijia","affiliations":[{"id":85546,"text":"Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China","active":true,"usgs":false}],"preferred":false,"id":958307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274567,"text":"70274567 - 2026 - Reproduction partially compensates for human-caused mortality in a cooperative breeder","interactions":[],"lastModifiedDate":"2026-04-01T17:20:24.198263","indexId":"70274567","displayToPublicDate":"2026-02-24T10:14:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction partially compensates for human-caused mortality in a cooperative breeder","docAbstract":"

Reproductive output can vary widely among mammalian species. There are many drivers that affect reproductive output including evolutionary, environmental, population, social, and individual traits. Although several factors, including human-caused mortality, can affect reproductive output, we generally have a poor understanding of how such factors interact to affect reproduction, particularly in cooperative breeders. Gray wolves (Canis lupus) in Idaho, USA, are exposed to annual hunting and trapping. Thus, they are an ideal species to answer questions about how turnover within groups affects reproduction in cooperative breeders. I hypothesized that the reproductive output of wolves would be affected by individual, social, and environmental factors. Contrary to my prediction, mid-summer litter size was positively associated with wolf harvest density, suggesting a compensatory response to harvest in cooperatively breeding gray wolves. Such compensation is only partial, however, and does not fully account for all the individuals lost from harvest. At the very highest harvest densities observed, mean litter size increased nearly 28%. In contrast, mid-summer litter size was negatively associated with multiple breeding in groups, suggesting resource limitation and competition within groups. I show that characteristics associated with harvest and breeding strategies predict variations in litter size in a cooperative breeder.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70555","usgsCitation":"Ausband, D.E., 2026, Reproduction partially compensates for human-caused mortality in a cooperative breeder: Ecosphere, v. 17, no. 2, e70555, 9 p., https://doi.org/10.1002/ecs2.70555.","productDescription":"e70555, 9 p.","ipdsId":"IP-170591","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70555","text":"Publisher Index Page"},{"id":501955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.08175980071034,\n 48.977227421240826\n ],\n [\n -117.12527879331986,\n 46.369424070044275\n ],\n [\n -116.51198640229667,\n 45.65976473215335\n ],\n [\n -117.25772134712818,\n 44.642676640703385\n ],\n [\n -117.08175980071034,\n 41.99782369604466\n ],\n [\n -111.02219152374933,\n 41.99782369604466\n ],\n [\n -111.03949189951564,\n 44.40883940189387\n ],\n [\n -112.71087839514591,\n 44.58985281347028\n ],\n [\n -113.75190192928613,\n 45.405327827770506\n ],\n [\n -114.55579750442473,\n 45.72018042001826\n ],\n [\n -114.3304705700495,\n 46.70099041509735\n ],\n [\n -114.95191346452555,\n 47.01751252427742\n ],\n [\n -115.46534803122942,\n 47.64914592710252\n ],\n [\n -115.82328991591629,\n 47.85069098091418\n ],\n [\n -115.87939209365824,\n 49.055195178320474\n ],\n [\n -117.08175980071034,\n 48.977227421240826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958324,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274314,"text":"70274314 - 2026 - Magnetic storms and geoelectric hazards","interactions":[],"lastModifiedDate":"2026-03-26T18:08:52.852897","indexId":"70274314","displayToPublicDate":"2026-02-24T10:09:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic storms and geoelectric hazards","docAbstract":"

Magnetic storms induce geoelectric fields at Earth's surface that can interfere with grounded long-line systems. The September 1859 storm disrupted global telegraph operations, the March 1989 storm caused a blackout in Canada and interfered with electric-power-transmission systems in the United States, and other storms have had related impacts. The geographic and temporal dependence of geoelectric fields are functions of both geomagnetic variation and local surface impedance, which differ considerably across different geological regions. These dependencies can be mapped across the contiguous United States by combining magnetotelluric impedance tensors with ground magnetometer time series. This review illustrates such mapping for the 1989 storm and shows that power-system interference was experienced where surface impedance is high, and when and where geoelectric fields were intense. Statistical analyses indicate that storms comparable to that of March 1989 occur roughly once every four solar cycles. Ongoing developments in numerical modeling and real-time monitoring are anticipated to enable prediction of geoelectric hazards.

  • ▪  Magnetic storms can induced electric fields in the solid Earth that interfere with electric-power-transmission systems.
  • ▪  Geoelectric hazards depend on the storm-time geomagnetic disturbance and the electrical conductivity structure of Earth.
  • ▪  Historically, impacts on telecommunication and power-transmission systems in the United States have been concentrated in the East and Midwest.
  • ▪  The future occurrence of a magnetic superstorm could cause widespread disruption of electric-power-transmission systems.


","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-032524-012356","usgsCitation":"Love, J.J., Bedrosian, P.A., Kelbert, A., Rigler, E.J., Lucas, G.M., and Schnepf, N.R., 2026, Magnetic storms and geoelectric hazards: Annual Review of Earth and Planetary Sciences, v. 54, https://doi.org/10.1146/annurev-earth-032524-012356.","ipdsId":"IP-180570","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":367869,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":957847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucas, Greg M.","contributorId":367872,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":957849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schnepf, Neesha R.","contributorId":367873,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":957850,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274111,"text":"70274111 - 2026 - How to accelerate advances in ecological forecasting","interactions":[],"lastModifiedDate":"2026-03-09T14:58:17.073655","indexId":"70274111","displayToPublicDate":"2026-02-24T09:53:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"How to accelerate advances in ecological forecasting","docAbstract":"Ecological forecasting offers critical insights for managing natural resources and safeguarding public well-being. Despite growing demand for these forecasts, progress is hindered by fragmented systems, redundant workflows, and limited interoperability. Drawing lessons from weather forecasting and recent successes like the NEON Ecological Forecasting Challenge, shared cyberinfrastructure is important for advancing ecological prediction. By adopting common standards, open-source tools, and scalable architectures, and fostering transdisciplinary collaboration, the ecological forecasting community can overcome technical and institutional barriers. Such investments could accelerate scientific understanding, improve forecast reliability, and empower decisionmakers to anticipate environmental change and respond effectively.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2026EO260066","usgsCitation":"Zwart, J.A., Thompson, C., Moustahfid, H., Burnett, J., and Dietze, M., 2026, How to accelerate advances in ecological forecasting: Eos, American Geophysical Union, HTML Document, https://doi.org/10.1029/2026EO260066.","productDescription":"HTML Document","ipdsId":"IP-177101","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":500558,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500559,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2026eo260066","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":956571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Cameron 0000-0003-3318-4064","orcid":"https://orcid.org/0000-0003-3318-4064","contributorId":367008,"corporation":false,"usgs":false,"family":"Thompson","given":"Cameron","affiliations":[{"id":61666,"text":"Northeastern Regional Association of Coastal Ocean Observing Systems","active":true,"usgs":false}],"preferred":false,"id":956572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moustahfid, Hassan","contributorId":146662,"corporation":false,"usgs":false,"family":"Moustahfid","given":"Hassan","email":"","affiliations":[],"preferred":false,"id":956573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burnett, Jessica","contributorId":189224,"corporation":false,"usgs":false,"family":"Burnett","given":"Jessica","affiliations":[],"preferred":false,"id":956574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietze, Michael","contributorId":248349,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","affiliations":[],"preferred":false,"id":956575,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274064,"text":"ofr20261060 - 2026 - Summary of fish communities in Underwood Creek, Milwaukee, Wisconsin, April 2021","interactions":[],"lastModifiedDate":"2026-02-24T16:34:02.291295","indexId":"ofr20261060","displayToPublicDate":"2026-02-24T09:23:03","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1060","displayTitle":"Summary of Fish Communities in Underwood Creek, Milwaukee, Wisconsin, April 2021","title":"Summary of fish communities in Underwood Creek, Milwaukee, Wisconsin, April 2021","docAbstract":"

Portions of Underwood Creek in Milwaukee County, Wisconsin were reconstructed beginning in 2010 to allow for improved fish habitat and better management of streamflow during storm events. Four reaches of Underwood Creek were sampled in April 2021 for fish abundance by species to evaluate the status of fish communities after reconstruction efforts were completed. A total of 25 fish species were collected during the April 2021 sampling events. Reach D, a recently restored reach, contained the most fish species (14) and individuals (391). White suckers (Catostomus commersonii) were present in three of four reaches, fulfilling one of the success metrics outlined in the Underwood Creek restoration plan. Another success metric, collection of young of year northern pike (Esox lucius), was not met in this sampling event. However, spawning steelhead (Oncorhynchus mykiss) were observed in several reaches, indicating that reconstruction allowed for suitable habitat and passage for some migratory fish.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261060","collaboration":"Prepared in cooperation with Milwaukee Metropolitan Sewerage District","usgsCitation":"Bell, A.H., LaFond-Hudson, S., Stefaniak, O.M., Romano, J.T., and Sullivan, D.J., 2026, Summary of fish communities in Underwood Creek, Milwaukee, Wisconsin, April 2021: U.S. Geological Survey Open-File Report 2026–1060, 17 p., https://doi.org/10.3133/ofr20261060.","productDescription":"Report: vi, 17 p.; Data Release; Dataset","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-163980","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500375,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":500374,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13FXCII","text":"USGS data release","linkHelpText":"Fish community data for rivers and streams in the Milwaukee, Wisconsin, area"},{"id":500370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1060/ofr20261060.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1060"},{"id":500369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1060/coverthb.jpg"},{"id":500372,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1060/images/"},{"id":500373,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261060/full"},{"id":500371,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1060/ofr20261060.XML"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Underwood Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.133333,\n 43.1\n ],\n [\n -88.133333,\n 43\n ],\n [\n -88.033333,\n 43\n ],\n [\n -88.033333,\n 43.1\n ],\n [\n -88.133333,\n 43.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726

Contact Pubs Warehouse

","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-02-24","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaFond-Hudson, Sophia 0000-0002-0860-2546","orcid":"https://orcid.org/0000-0002-0860-2546","contributorId":356735,"corporation":false,"usgs":true,"family":"LaFond-Hudson","given":"Sophia","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stefaniak, Owen M. 0000-0001-5394-8338 ostefaniak@usgs.gov","orcid":"https://orcid.org/0000-0001-5394-8338","contributorId":271143,"corporation":false,"usgs":true,"family":"Stefaniak","given":"Owen","email":"ostefaniak@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romano, James 0000-0002-1885-2178","orcid":"https://orcid.org/0000-0002-1885-2178","contributorId":366936,"corporation":false,"usgs":true,"family":"Romano","given":"James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":366937,"corporation":false,"usgs":false,"family":"Sullivan","given":"Daniel","middleInitial":"J.","affiliations":[{"id":87509,"text":"Upper Midwest Water Science Center-Retired","active":true,"usgs":false}],"preferred":false,"id":956404,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274089,"text":"70274089 - 2026 - Final Report for SCEC Award #25347 - A dynamic rupture workshop to improve our understanding of fault friction","interactions":[],"lastModifiedDate":"2026-02-25T15:16:24.643491","indexId":"70274089","displayToPublicDate":"2026-02-24T09:08:47","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":23312,"text":"Final Report","active":true,"publicationSubtype":{"id":3}},"title":"Final Report for SCEC Award #25347 - A dynamic rupture workshop to improve our understanding of fault friction","docAbstract":"

No abstract available.

","language":"English","publisher":"Statewide California Earthquake Center","usgsCitation":"Harris, R.A., Barall, M., 2026, Final Report for SCEC Award #25347 - A dynamic rupture workshop to improve our understanding of fault friction: Final Report, 10 p.","productDescription":"10 p.","ipdsId":"IP-186264","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":500508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500507,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://central.scec.org/proposal/report/25347"}],"noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274091,"text":"70274091 - 2026 - A tool to monitor hydrologic conditions on tree islands in the Everglades","interactions":[],"lastModifiedDate":"2026-02-26T16:50:16.661474","indexId":"70274091","displayToPublicDate":"2026-02-24T08:13:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A tool to monitor hydrologic conditions on tree islands in the Everglades","docAbstract":"

Tree islands are patchy upland forested habitats in Florida's Everglades that face degradation and disappearance due to altered hydrologic patterns. The U.S. Geological Survey coordinated with the Miccosukee Tribe of Indians of Florida and the Seminole Tribe of Florida to co-develop a decision-support tool based on tree-island hydrologic conditions. Everglades managers can use this tool to help with restoration planning and water operations decisions that affect tree-island conditions. After a series of organized workshops and meetings, a list of hydrologic metrics was selected as indicators of tree-island health, including hydroperiod, number of days since last dry, and maximum water depth at the head of the island. As a result, a web application tool, called ETree, has been developed and is publicly available online. This web application provides data on daily metrics for the current Everglades water year and annual summaries for past years, beginning in 2000.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2026.114640","usgsCitation":"Haider, S.M., van der Heiden, C., Bozas, M., and Romañach, S.S., 2026, A tool to monitor hydrologic conditions on tree islands in the Everglades: Ecological Indicators, v. 183, 114640, 7 p., https://doi.org/10.1016/j.ecolind.2026.114640.","productDescription":"114640, 7 p.","ipdsId":"IP-175495","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":500612,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2026.114640","text":"Publisher Index Page"},{"id":500509,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.08373270516965,\n 26.65815841176284\n ],\n [\n -82.08373270516965,\n 25.02905745196128\n ],\n [\n -80.69833784238166,\n 25.02905745196128\n ],\n [\n -80.69833784238166,\n 26.65815841176284\n ],\n [\n -82.08373270516965,\n 26.65815841176284\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":956505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Heiden, Craig","contributorId":366978,"corporation":false,"usgs":false,"family":"van der Heiden","given":"Craig","affiliations":[{"id":87517,"text":"Seminole Tribe of Florida","active":true,"usgs":false}],"preferred":false,"id":956506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bozas, Marcel","contributorId":366979,"corporation":false,"usgs":false,"family":"Bozas","given":"Marcel","affiliations":[{"id":87518,"text":"Miccosukee Tribe of Indians of Florida","active":true,"usgs":false}],"preferred":false,"id":956507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":956508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274096,"text":"70274096 - 2026 - Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures","interactions":[],"lastModifiedDate":"2026-02-26T14:20:20.159526","indexId":"70274096","displayToPublicDate":"2026-02-24T07:50:20","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures","docAbstract":"

Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins. Algal community composition can be monitored and analyzed by acquiring hyperspectral images that provide information on various photosynthetic and accessory pigments. Validated, traceable measurements are needed to compare data collected by different hyperspectral instruments. In this proof-of-concept study, we detail the development and validation of a custom hyperspectral microscopy imaging system and assess whether this technology can differentiate between cyanobacteria genera based on differences in their reflectance characteristics. As not all cyanobacteria produce toxins, the ability to distinguish among taxa could be used to identify potential toxin-producers and guide field sampling and further research. Spectral characterization of these taxa contributes to remote sensing efforts to characterize and identify cyanobacterial genera at larger spatial scales.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.70038","usgsCitation":"Hall, N.C., Mumford, A.C., Goldfain, A.M., Allen, D.W., Slonecker, E., Shtabnoy, A., Legleiter, C.J., Spaulding, S.A., 2026, Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures: Limnology and Oceanography Methods, e70038, 12 p., https://doi.org/10.1002/lom3.70038.","productDescription":"e70038, 12 p.","ipdsId":"IP-133686","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":501074,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.70038","text":"Publisher Index Page"},{"id":500527,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aslopubs.onlinelibrary.wiley.com/doi/10.1002/lom3.70038","linkFileType":{"id":5,"text":"html"}},{"id":500505,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.10179264385346,\n 42.48654098074368\n ],\n [\n -122.06572558931417,\n 42.407712468749764\n ],\n [\n -121.92441072839725,\n 42.280845617093135\n ],\n [\n -121.79136441818135,\n 42.21342761218082\n ],\n [\n -121.79230665775252,\n 42.39519175138423\n ],\n [\n -121.93695412023108,\n 42.506365647351515\n ],\n [\n -122.03369521935683,\n 42.50459749688622\n ],\n [\n -122.10179264385346,\n 42.48654098074368\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Natalie C. 0000-0002-6448-162X nhall@usgs.gov","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":223255,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie","email":"nhall@usgs.gov","middleInitial":"C.","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":956516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":956517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldfain, Aaron M. 0000-0002-4119-3983","orcid":"https://orcid.org/0000-0002-4119-3983","contributorId":366980,"corporation":false,"usgs":false,"family":"Goldfain","given":"Aaron","middleInitial":"M.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":956518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, David W. 0000-0001-8299-7956","orcid":"https://orcid.org/0000-0001-8299-7956","contributorId":366981,"corporation":false,"usgs":false,"family":"Allen","given":"David","middleInitial":"W.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":956519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slonecker, E. 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In the summer, juvenile Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) are vulnerable to extreme water quality conditions (i.e., temperature, dissolved oxygen [DO], and salinity) in the estuaries they inhabit. The effects of climate change on Atlantic sturgeon are largely unknown, but it may exacerbate these water quality issues. We used a 20-year dataset from the Altamaha River estuary, Georgia, USA to fit negative binomial mixed-effects models describing the relationship between water quality and catch per net hour of juvenile Atlantic sturgeon. Water temperature and DO were significant positive predictors of catch; salinity and sampling year were significant negative predictors. The interaction between temperature and DO was also significant. Water temperature, salinity, and year were significant in explaining variability in catch. Our modeling results suggest that response to water quality depends on fish age. Next, we used global climate projections to construct future climate scenarios incorporating warming water and increased salinity. By coupling these predictions with catch models, we forecast juvenile Atlantic sturgeon catch as a proxy for distribution. Water temperature increases of 1–5 °C led to predicted catch increases of 5–24%, although this result may be influenced by aggregation behavior or sampling limitations at high temperatures. Salinity increases of 1–2 ppt led to 9–17% decreases in catch, suggesting that saltwater intrusion may limit future Atlantic sturgeon estuarine habitat availability. Our study combines a long-term dataset with a robust statistical modeling approach to offer some of the first insights into future climate change effects on juvenile Atlantic sturgeon’s southern nursery habitats.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-026-01818-8","usgsCitation":"Kleinhans, M., Nibbelink, N., Irwin, B., Wenger, S., and Fox, A.G., 2026, Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia: Environmental Biology of Fishes, v. 109, 49, 20 p., https://doi.org/10.1007/s10641-026-01818-8.","productDescription":"49, 20 p.","ipdsId":"IP-176138","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-026-01818-8","text":"Publisher Index Page"},{"id":501976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Altamaha River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.92561023859767,\n 31.34995779368927\n ],\n [\n -81.92561023859767,\n 30.940577592818528\n ],\n [\n -81.32085660186459,\n 30.940577592818528\n ],\n [\n -81.32085660186459,\n 31.34995779368927\n ],\n [\n -81.92561023859767,\n 31.34995779368927\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"109","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleinhans, Maxwell","contributorId":369036,"corporation":false,"usgs":false,"family":"Kleinhans","given":"Maxwell","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nibbelink, Nathan","contributorId":369037,"corporation":false,"usgs":false,"family":"Nibbelink","given":"Nathan","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth","contributorId":261384,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Adam G.","contributorId":179021,"corporation":false,"usgs":false,"family":"Fox","given":"Adam","middleInitial":"G.","affiliations":[],"preferred":false,"id":958342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273967,"text":"tm8D3 - 2026 - Design and function of the Autonomous Benthic Imaging and Surveying System (ABISS) for remote sensing of lake and seabed environments","interactions":[],"lastModifiedDate":"2026-03-02T21:16:57.828122","indexId":"tm8D3","displayToPublicDate":"2026-02-23T13:24:26","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"8-D3","displayTitle":"Design and Function of the Autonomous Benthic Imaging and Surveying System (ABISS) for Remote Sensing of Lake and Seabed Environments","title":"Design and function of the Autonomous Benthic Imaging and Surveying System (ABISS) for remote sensing of lake and seabed environments","docAbstract":"

Lake and seabed environments are home to fisheries and other biota that are important to ecosystems and economies, yet these environments and the species that use them are difficult to accurately assess and monitor. Traditional benthic survey techniques, like bottom trawling used by the U.S. Geological Survey, are limited by substrate constraints, poor spatial resolution and precision, and operational depth limits, hindering accurate assessment of benthic species and habitats. In response to these limitations, the U.S. Geological Survey developed the Autonomous Benthic Imaging and Surveying System, a camera system integrated into underwater vehicles, to capture high- resolution images of the lakebed. The system uses color and stereo cameras to collect imagery, which can be analyzed using computational methods to detect organisms and (or) characterize habitat features, such as geologic substrate types. The system has been integrated into autonomous underwater vehicles and into an underwater housing used by self- contained underwater breathing apparatus (SCUBA) divers. Although the engineering of the system was motivated by the need for data collection in the Great Lakes, it has potential to collect high quality data in any aqueous setting with sufficient water clarity and safe operating conditions. The Autonomous Benthic Imaging and Surveying System can operate across diverse depths and light conditions to map and quantify ecological patterns that were difficult or impossible to assess using traditional methods. The Autonomous Benthic Imaging and Surveying System offers the potential for accurate and precise monitoring and assessment of native benthic biota, invasive species, and habitat, potentially providing natural resource managers with improved information to support decision making about benthic resource management.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm8D3","collaboration":"Prepared in cooperation with the Michigan Tech Research Institute and Michigan Technological University","usgsCitation":"Tilley, A.T., Esselman, P.C., Roussi, C., Hart, B., Lyons, A., Arnold, A.J., Childress, J., and Weller, C., 2026, Design and function of the Autonomous Benthic Imaging and Surveying System (ABISS) for remote sensing of lake and seabed environments: U.S. Geological Survey Techniques and Methods, book 8, chap. D3, 18 p., https://doi.org/10.3133/tm8D3.","productDescription":"vii, 18 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166195","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":500704,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119287.htm","linkFileType":{"id":5,"text":"html"}},{"id":500236,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm8D3/full"},{"id":500234,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/08/d03/tm8d3.XML"},{"id":500233,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/08/d03/tm8d3.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 8-D3"},{"id":500232,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/08/d03/coverthb.jpg"},{"id":500235,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/08/d03/images/"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.01063892280078,\n 47.27877366089439\n ],\n [\n -91.35543413680567,\n 46.717941147145126\n ],\n [\n -90.2777136719085,\n 46.50310168839282\n ],\n [\n -88.23826407235119,\n 46.58296388096409\n ],\n [\n -87.78394109420519,\n 41.748398831213464\n ],\n [\n -86.71934459174432,\n 41.563872528797475\n ],\n [\n -86.24621703611284,\n 42.50911056533822\n ],\n [\n -86.2639338934281,\n 44.136976923465724\n ],\n [\n -85.77308948048136,\n 44.648981234178216\n ],\n [\n -85.1929984838068,\n 45.06780800061678\n ],\n [\n -84.5413777607205,\n 45.541080232832265\n ],\n [\n -83.7727483111728,\n 45.16968885882632\n ],\n [\n -83.98055650052844,\n 43.74565450222198\n ],\n [\n -83.34826930072227,\n 41.05820343659316\n ],\n [\n -75.94042741553997,\n 42.959260215731945\n ],\n [\n -75.86589314858297,\n 44.605606526417205\n ],\n [\n -79.07927578793095,\n 44.29568271617555\n ],\n [\n -80.86868687054427,\n 46.151440934040515\n ],\n [\n -87.55990400977579,\n 47.556047325423705\n ],\n [\n -91.01063892280078,\n 47.27877366089439\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Great Lakes Science Center
U.S. Geological Survey
1451 Green Road
Ann Arbor, MI 48105

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-02-23","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Tilley, Alden T. 0000-0002-1056-3478","orcid":"https://orcid.org/0000-0002-1056-3478","contributorId":351036,"corporation":false,"usgs":true,"family":"Tilley","given":"Alden","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roussi, Christopher","contributorId":346495,"corporation":false,"usgs":false,"family":"Roussi","given":"Christopher","email":"","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":955941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Ben","contributorId":366465,"corporation":false,"usgs":false,"family":"Hart","given":"Ben","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":955942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, Aaron","contributorId":366466,"corporation":false,"usgs":false,"family":"Lyons","given":"Aaron","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":955943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arnold, Anthony J. 0000-0001-5711-3039","orcid":"https://orcid.org/0000-0001-5711-3039","contributorId":344122,"corporation":false,"usgs":false,"family":"Arnold","given":"Anthony J.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":955944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Childress, Jeremy 0000-0002-7595-9828","orcid":"https://orcid.org/0000-0002-7595-9828","contributorId":366467,"corporation":false,"usgs":false,"family":"Childress","given":"Jeremy","affiliations":[{"id":87488,"text":"The Sexton Corporation","active":true,"usgs":false}],"preferred":false,"id":955945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weller, Charley","contributorId":366468,"corporation":false,"usgs":false,"family":"Weller","given":"Charley","affiliations":[{"id":87488,"text":"The Sexton Corporation","active":true,"usgs":false}],"preferred":false,"id":955946,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274118,"text":"70274118 - 2026 - Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","interactions":[],"lastModifiedDate":"2026-02-26T16:36:43.114128","indexId":"70274118","displayToPublicDate":"2026-02-23T09:23:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","docAbstract":"

Coordinated, regional strategies to guide effective management and conservation of forests can be used to balance conservation with management for other objectives such as timber, scenic viewsheds, and fire. A key part of these regional strategies is incorporating knowledge of how management actions may affect certain species, especially those that are sensitive or are of concern. However, knowledge of how management actions may affect species is inferred from studies conducted across small areas where the species’ behavior and forest conditions are easily assessed. Here, we examine how occupancy of four bat species responds to forest management across the eastern United States at regional scales. We used range-wide capture and stationary acoustic surveys from the North American Bat Monitoring Program from 2010 to 2020 to estimate yearly summer occupancy for four bat species of conservation concern identified in the U.S. Department of Agriculture Forest Service (USFS) Southern and Eastern Regions Bat Conservation Strategy: little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus), and assessed the degree to which occupancy of each species changed after different vegetation management actions were implemented on USFS lands. We identified 78 different management actions that were hypothesized to influence summer bat occupancy at two spatial scales (5-km and 10-km) across the eastern United States from the Forest Service Activity Tracking System and grouped these management actions into four vegetation management types: clear-cutting, fire, thinning, and ground vegetation management. To evaluate potential effects of these vegetation management types on bat occupancy, we created a yearly management metric representing the average number of years that had passed since any one of the included management actions in each management type had been implemented in each 5-km or 10-km grid cell, weighted by the proportion of the grid cell covered by the management treatment history. We chose these metrics to ask if more management or management done recently had a larger effect on bat occupancy than less management or management done long-ago. We then fit Bayesian hierarchical multi-scale occupancy models for each species to assess how occupancy changed in response to the amount and time since implementation of each vegetation management type. Using the estimated relationships between the yearly metrics of management and bat occupancy, we created predictions for how bat occupancy responded at 1- and 5- years after implementation. We found substantial differences in the response of the four species to the four vegetation management types. Ground vegetation management provided the greatest increase in expected occupancy at 1 year after implementation for little brown bat, long-eared bat, and tricolored bat, while fire provided the greatest increase in expected occupancy for Indiana bat. Thinning provided increases for all species at 1 year after implementation, but even greater increases at 5 years after implementation. Clear-cutting, on the other hand, tended to result in decreased occupancy at both 1- and 5-years after implementation for each species and had the greatest effect on tricolored bat at 1 year after implementation. Clear evidence for how management types like these may be affecting bat populations can be used at regional scales to help private and public forest managers achieve their strategic goals.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2026.123639","usgsCitation":"Inman, R.D., Udell, B.J., Wray, A.K., Straw, B.R., Schuhmann, A.N., Davis, H.T., Sawyer, S.C., Reichert, B.E., 2026, Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices: Forest Ecology and Management, v. 609, 123639, 18 p., https://doi.org/10.1016/j.foreco.2026.123639.","productDescription":"123639, 18 p.","ipdsId":"IP-175875","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2026.123639","text":"Publisher Index Page"},{"id":500544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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Center","active":true,"usgs":true}],"preferred":true,"id":956583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wray, Amy Kristine 0000-0001-9685-8308","orcid":"https://orcid.org/0000-0001-9685-8308","contributorId":334941,"corporation":false,"usgs":true,"family":"Wray","given":"Amy","email":"","middleInitial":"Kristine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Helen Trice 0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sawyer, Sarah C.","contributorId":367020,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":956588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274083,"text":"70274083 - 2026 - Site response models based on geometric parameters for southern California sedimentary basins","interactions":[],"lastModifiedDate":"2026-03-09T14:56:34.655448","indexId":"70274083","displayToPublicDate":"2026-02-23T08:23:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Site response models based on geometric parameters for southern California sedimentary basins","docAbstract":"

Site response in sedimentary basins is influenced by complex three-dimensional (3D) features, including trapping of seismic waves, focusing of seismic energy and basin resonance. Current ground motion models (GMMs) incorporate basin effects using one-dimensional parameters like VS30 and shear wave velocity isosurface depths, which are limited in capturing lateral and 3D effects. To address these limitations, we develop seismic site response models based on novel parameters that represent multi-dimensional properties of the Los Angeles Basin (LAB) geometry and shear wave velocity. We define a basin shape for the LAB using depth to subsurface geologic interfaces associated with the oldest sedimentary deposits (depth to a particular shear wave velocity horizon, i.e., 1.5 km/s - z1.5) and the depth to the crystalline basement (zcb) which are determined using geologic cross sections and community seismic velocity model profiles. We explore a suite of geometric descriptors computed for the LAB and southern California, from which three parameters with the greatest predictive potential are selected and evaluated using empirical ground motion residual analyses in combination with the Boore et al. GMM. The results demonstrate that the zonal heterogeneity index (\"mathematical), standard deviation of the absolute difference between z1.5 and zcb (\"mathematical) and standard deviation of zcb (\"mathematical) each provide a reduction in site-to-site variability (ϕS2S) of empirical GMMs. The reduction in ϕS2S is period-dependent, with average decreases of 3%, 26% and 6% for \"mathematical, \"mathematical, and \"mathematical, respectively. Although these reductions are modest from an engineering application perspective, they are statistically significant, underscoring the inherent difficulty in fully characterising complex basin effects. Collectively, these findings indicate that the inclusion of basin-specific geometric parameters yields measurable, albeit incremental, improvements in site response prediction and establishes a framework for the progressive refinement of seismic hazard characterisation within sedimentary basins.

","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70027","usgsCitation":"Shams, R., Nweke, C.C., and Parker, G.A., 2026, Site response models based on geometric parameters for southern California sedimentary basins: Earthquake Spectra, v. 42, no. 1, e70027, 27 p., https://doi.org/10.1002/esp4.70027.","productDescription":"e70027, 27 p.","ipdsId":"IP-171681","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501101,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70027","text":"Publisher Index Page"},{"id":500479,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.53506621436776,\n 35.21356617300536\n ],\n [\n -120.79600361096189,\n 34.90448000088518\n ],\n [\n -120.75474337287181,\n 34.34368243947756\n ],\n [\n -118.73627556859424,\n 33.915392671441865\n ],\n [\n -118.45980648687038,\n 34.843303775362216\n ],\n [\n -120.53506621436776,\n 35.21356617300536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Shams, Rashid","contributorId":366973,"corporation":false,"usgs":false,"family":"Shams","given":"Rashid","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nweke, Chukwuebuka C.","contributorId":366974,"corporation":false,"usgs":false,"family":"Nweke","given":"Chukwuebuka","middleInitial":"C.","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274153,"text":"70274153 - 2026 - Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain","interactions":[],"lastModifiedDate":"2026-03-03T14:23:51.443064","indexId":"70274153","displayToPublicDate":"2026-02-23T07:44:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain","docAbstract":"

Existing reservoir management frameworks traditionally consider historical (predam) flow conditions to deliver environmental flows. Such frameworks may not be feasible because current demand and/or climate could be different from predam conditions. Hence, we developed a multireservoir framework that explicitly considers both human water demands and environmental flow requirements to minimize deviations under current hydroclimatic conditions and demand patterns. The multireservoir framework, Generalized Reservoir Analyses using Probabilistic Streamflow (GRAPS), was modified and implemented to solve the problem of minimizing the flow deviations using feasible sequential quadratic programming for three reservoirs in the Chattahoochee River Basin, Southeastern United States, which is known for its imperiled native biodiversity and productive estuarine ecosystem. Our results show that downstream reservoirs in the cascade system are less influenced by upstream reservoirs’ regulation because the downstream reservoirs receive a significant amount of natural flows. By comparing the average wavelet power spectrum at different periodicities between natural flows and downstream releases, we found that the current release policy and modified releases resulted in highly altered flows under shorter periodicities (e.g., less than 2 months) but synchronized flow variance between natural flow and downstream releases at longer periodicities (e.g., greater than 3 years). This framework of linking the multireservoir allocation model through the time–frequency analysis using wavelet power spectrum could not only advance sustainable water management policies to meet water for human and environmental needs but can also add additional value in meeting the downstream environmental demand at desired periodicities.

","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/JWRMD5.WRENG-7006","usgsCitation":"Chalise, D.R., Ford, L., Mahinthakumar, K., Ranjithan, R., Eaton, M.J., and Sankarasubramanian, A., 2026, Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain: Journal of Water Resources Planning and Management, v. 152, no. 5, 04026007, 17 p., https://doi.org/10.1061/JWRMD5.WRENG-7006.","productDescription":"04026007, 17 p.","ipdsId":"IP-167436","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500668,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Chattahoochee River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.6901375420256,\n 34.842920854432904\n ],\n [\n -85.6563734170193,\n 32.17035099082393\n ],\n [\n -85.36681091699252,\n 29.6298014571195\n ],\n [\n -84.66969319706918,\n 29.670744490356427\n ],\n [\n -84.5477651592313,\n 30.701515393857616\n ],\n [\n -83.81773860252564,\n 31.585948009453666\n ],\n [\n -83.63233065888338,\n 34.78148617202561\n ],\n [\n -84.6901375420256,\n 34.842920854432904\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"152","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chalise, Dol Raj","contributorId":367072,"corporation":false,"usgs":false,"family":"Chalise","given":"Dol","middleInitial":"Raj","affiliations":[{"id":87532,"text":"Mesa Associates Inc; NC State Univ.","active":true,"usgs":false}],"preferred":false,"id":956699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Lucas","contributorId":367073,"corporation":false,"usgs":false,"family":"Ford","given":"Lucas","affiliations":[{"id":87533,"text":"NC State Univ","active":true,"usgs":false}],"preferred":false,"id":956700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahinthakumar, Kumar","contributorId":367074,"corporation":false,"usgs":false,"family":"Mahinthakumar","given":"Kumar","affiliations":[{"id":87533,"text":"NC State Univ","active":true,"usgs":false}],"preferred":false,"id":956701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ranjithan, Ranji","contributorId":367075,"corporation":false,"usgs":false,"family":"Ranjithan","given":"Ranji","affiliations":[{"id":87534,"text":"NC State Unive","active":true,"usgs":false}],"preferred":false,"id":956702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankarasubramanian, A. 0000-0002-7668-1311","orcid":"https://orcid.org/0000-0002-7668-1311","contributorId":241034,"corporation":false,"usgs":false,"family":"Sankarasubramanian","given":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":956704,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274079,"text":"70274079 - 2026 - Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software","interactions":[],"lastModifiedDate":"2026-02-24T14:51:38.936114","indexId":"70274079","displayToPublicDate":"2026-02-23T07:42:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software","docAbstract":"

Models of the spatiotemporal evolution of earthquake slip, termed finite-fault models, are a critical component of rapid earthquake and tsunami response, earthquake forecasting, seismic ground-motion estimates, and studies of earthquake kinematics. Here, we detail a newly released finite-fault modeling software, Wavelet Inversion for SliP (WISP), in use at the U.S. Geological Survey’s National Earthquake Information Center (NEIC) and available to the public. WISP version 1.1.0 allows inversion of teleseismic body and surface waves, as well as local strong-motion, static and dynamic Global Navigation Satellite System, and satellite imagery (e.g., Interferometric Synthetic Aperture Radar) observations on single or multiple planar fault segments. The software is used in NEIC rapid response of earthquakes Mw ≥ 7, generally resulting in a published model within the first few hours after the event origin time. The rupture location and dimensions are then used as inputs to downstream products to estimate earthquake shaking, predict loss, and model the likelihood of secondary hazards, namely landslides and liquefaction. WISP is also used in research studies to evaluate the characteristics of complex ruptures including multifault ruptures and earthquake doublets, among others. The WISP version 1.1.0 software release is composed of Python-wrapped FORTRAN code to accomplish the inversion procedure. A simple command line interface facilitates ease of use even for those with only a cursory knowledge of Python scripting. WISP version 1.1.0 includes a Jupyter Notebook tutorial demonstrating use of the software for modeling the 2015 Mw 8.3 Illapel, Chile, earthquake. In parallel with the tutorial, we demonstrate the typical usage of the WISP software using the Mw 8.3 Illapel earthquake example here.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250055","usgsCitation":"Goldberg, D.E., Hunsinger, H., Koch, P., Haynie, K.L., Melgar, D., Riquelme, S., 2026, Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software: Seismological Research Letters, 17 p., https://doi.org/10.1785/0220250055.","productDescription":"17 p.","ipdsId":"IP-183439","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500754,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14RVF65","text":"USGS data release","linkHelpText":"Wavelet Inversion for SliP (WISP)"},{"id":500598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250055","text":"Publisher Index Page"},{"id":500475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.2915060047295,\n -27.438162221295535\n ],\n [\n -73.2915060047295,\n -36.968704795768254\n ],\n [\n -70.94626168478015,\n -36.968704795768254\n ],\n [\n -70.94626168478015,\n -27.438162221295535\n ],\n [\n -73.2915060047295,\n -27.438162221295535\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunsinger, Heather Elizabeth 0000-0001-7700-9087","orcid":"https://orcid.org/0000-0001-7700-9087","contributorId":352844,"corporation":false,"usgs":true,"family":"Hunsinger","given":"Heather Elizabeth","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":956481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Pablo","contributorId":294680,"corporation":false,"usgs":false,"family":"Koch","given":"Pablo","email":"","affiliations":[{"id":63624,"text":"National Seismological Center, University of Chile","active":true,"usgs":false}],"preferred":false,"id":956482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":956484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riquelme, Sebastian","contributorId":193028,"corporation":false,"usgs":false,"family":"Riquelme","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":956485,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274124,"text":"70274124 - 2026 - Aquatic reflectance derived from Sentinel-2 Multispectral Imager data for inland waters in the conterminous United States","interactions":[],"lastModifiedDate":"2026-02-26T17:13:13.630689","indexId":"70274124","displayToPublicDate":"2026-02-22T10:08:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic reflectance derived from Sentinel-2 Multispectral Imager data for inland waters in the conterminous United States","docAbstract":"

Satellite-based earth observation is a robust tool for tracking change in ecosystems. While terrestrially focused applications of remote sensing have empowered wide adoption for research and management, remote sensing of inland aquatic ecosystems remains comparably nascent. This divergence, in part, stems from the lack of standardized, accessible, and near real-time remotely sensed surface reflectance, atmospherically corrected for aquatic environments. To date, surface reflectance products at national scales and with minimal latency are typically designed exclusively for terrestrial environments. Rectifying this situation can be accomplished by applying aquatic-focused atmospheric correction algorithms independent of those used for terrestrial ecosystems. As a first step to filling this data gap, we present the first national scale, dynamically updated, analysis-ready, aquatic reflectance dataset for inland water derived from Sentinel-2 for the conterminous United States.

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Center","active":true,"usgs":true}],"preferred":true,"id":956599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":956601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hundt, Stephen A. 0000-0002-6484-0637","orcid":"https://orcid.org/0000-0002-6484-0637","contributorId":204678,"corporation":false,"usgs":true,"family":"Hundt","given":"Stephen","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Grady P.","contributorId":367030,"corporation":false,"usgs":false,"family":"Ball","given":"Grady","middleInitial":"P.","affiliations":[],"preferred":false,"id":956603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hafen, Konrad C. 0000-0002-1451-362X","orcid":"https://orcid.org/0000-0002-1451-362X","contributorId":367031,"corporation":false,"usgs":false,"family":"Hafen","given":"Konrad","middleInitial":"C.","affiliations":[],"preferred":false,"id":956604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avouris, Dulcinea Marie 0000-0001-5797-3960","orcid":"https://orcid.org/0000-0001-5797-3960","contributorId":335170,"corporation":false,"usgs":true,"family":"Avouris","given":"Dulcinea Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wakefield, Brendan Flynn 0000-0002-2695-8116","orcid":"https://orcid.org/0000-0002-2695-8116","contributorId":299025,"corporation":false,"usgs":true,"family":"Wakefield","given":"Brendan Flynn","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 vstengel@usgs.gov","orcid":"https://orcid.org/0000-0003-0481-3159","contributorId":5932,"corporation":false,"usgs":true,"family":"Stengel","given":"Victoria","email":"vstengel@usgs.gov","middleInitial":"G.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vanhellemont, Quinten","contributorId":346479,"corporation":false,"usgs":false,"family":"Vanhellemont","given":"Quinten","affiliations":[{"id":82872,"text":"Royal Belgian Institue of Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":956608,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274555,"text":"70274555 - 2026 - Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques","interactions":[],"lastModifiedDate":"2026-04-01T21:01:29.164156","indexId":"70274555","displayToPublicDate":"2026-02-21T13:51:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques","docAbstract":"

Monitoring volcanoes involves a variety of data sources and methods to maintain complete continuity of coverage. Global navigation satellite system (GNSS) and interferometric synthetic aperture radar (InSAR) are commonly used complementary methods to assess the deformation state of a volcano as magma migrates beneath the surface. The amount of data these methods produce, however, is growing rapidly beyond human analysis capabilities and is becoming difficult to manage. Here, we create a novel multimodal deep learning framework to ingest InSAR and GNSS data simultaneously and classify the deformation state of the system. We apply this methodology to Mauna Loa, Hawai‘i given its wealth of InSAR and GNSS data as well as its propensity to deform on multiple timescales. Our model performs with high accuracy and is able to identify both slow and fast deformation from 2015 to 2023. The multimodal nature of our model also allows us to identify the presence of atmospheric noise in InSAR data. Furthermore, we employ explainability algorithms to show that our model is making decisions for the right reasons and to connect complex black-box machine learning mappings to current real-world geodetic interpretations of the Mauna Loa magmatic system.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-026-01950-4","usgsCitation":"Paladino, T.G., Montgomery-Brown, E.K., Bagnardi, M., Poland, M., and Lee, R.L., 2026, Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques: Bulletin of Volcanology, v. 88, 28, 22 p., https://doi.org/10.1007/s00445-026-01950-4.","productDescription":"28, 22 p.","ipdsId":"IP-182889","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-026-01950-4","text":"Publisher Index Page"},{"id":501966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.65407582020632,\n 19.593816099063176\n ],\n [\n -155.65407582020632,\n 19.422897333729793\n ],\n [\n -155.4098890103293,\n 19.422897333729793\n ],\n [\n -155.4098890103293,\n 19.593816099063176\n ],\n [\n -155.65407582020632,\n 19.593816099063176\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Paladino, Tyler Grant 0000-0002-5443-8046","orcid":"https://orcid.org/0000-0002-5443-8046","contributorId":364568,"corporation":false,"usgs":true,"family":"Paladino","given":"Tyler","middleInitial":"Grant","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco 0000-0002-4315-0944","orcid":"https://orcid.org/0000-0002-4315-0944","contributorId":335933,"corporation":false,"usgs":true,"family":"Bagnardi","given":"Marco","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":958280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274234,"text":"70274234 - 2026 - Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","interactions":[],"lastModifiedDate":"2026-03-23T14:22:57.40506","indexId":"70274234","displayToPublicDate":"2026-02-20T14:04:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","title":"Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","docAbstract":"

Crayfish are critical functional components of aquatic ecosystems. Previous research has documented adverse effects of mineral extraction on crayfish. Here, we characterize potential risks of mining-derived waterborne nickel (Ni) to crayfish by documenting the effects of dissolved Ni on growth and food consumption of juvenile virile crayfish (Faxonius virilis) in a 28-day chronic laboratory exposure. Nominal Ni concentrations ranged from 31.25 to 500 micrograms per liter (µg/L; pH = 7.96 ± 0.20, hardness = 150 ± 1 milligrams per liter as calcium carbonate). Crayfish survival, carapace length, and wet weight were measured. After 28 days of exposure, a 24-h feeding trial was performed to determine differences in food consumption. During the growth trial, 99% of crayfish survived. Change in wet weight and final wet weight were the most sensitive endpoints, with 20% effect concentrations of 24.8 and 22.6 µg/L Ni, respectively. Crayfish exposed to an average of 438 µg/L Ni consumed 41% less, and weighed 65.1% less, than control crayfish. These results suggest chronic, sublethal exposure to waterborne Ni may have negative effects on crayfish growth. Reduced growth and consumption rates in crayfish could have wide-ranging consequences throughout aquatic ecosystems since crayfish are consumers, prey, keystone trophic regulators, and ecosystem engineers. Finally, these results could inform bioenergetics and may be coupled with population models to predict potential changes in population sizes of native and invasive crayfishes.

","language":"English","publisher":"Springer","doi":"10.1007/s10646-026-03036-5","usgsCitation":"Moore, A.P., Wildhaber, M.L., Beaman, Z.D., Bennett, K.R., Ditter, K.K., Cleveland, D.M., Blanton, J., and Grant, T.J., 2026, Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis): Ecotoxicology, v. 35, 64, https://doi.org/10.1007/s10646-026-03036-5.","productDescription":"64","ipdsId":"IP-179855","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501386,"rank":4,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274234/full"},{"id":501385,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274234/images/"},{"id":501384,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274234/70274234.XML"},{"id":501228,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Adrian Parr 0000-0001-9277-6399","orcid":"https://orcid.org/0000-0001-9277-6399","contributorId":298590,"corporation":false,"usgs":true,"family":"Moore","given":"Adrian","email":"","middleInitial":"Parr","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaman, Zachary D 0000-0001-9649-1585","orcid":"https://orcid.org/0000-0001-9649-1585","contributorId":312457,"corporation":false,"usgs":true,"family":"Beaman","given":"Zachary","email":"","middleInitial":"D","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Kendell Ray 0000-0001-6081-7002","orcid":"https://orcid.org/0000-0001-6081-7002","contributorId":334116,"corporation":false,"usgs":true,"family":"Bennett","given":"Kendell","email":"","middleInitial":"Ray","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ditter, Karlie K 0000-0001-8970-2022","orcid":"https://orcid.org/0000-0001-8970-2022","contributorId":312455,"corporation":false,"usgs":true,"family":"Ditter","given":"Karlie","email":"","middleInitial":"K","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blanton, J.","contributorId":89345,"corporation":false,"usgs":true,"family":"Blanton","given":"J.","email":"","affiliations":[],"preferred":false,"id":957115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grant, Tyler J.","contributorId":149938,"corporation":false,"usgs":false,"family":"Grant","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":17858,"text":"Iowa State U, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":957116,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274115,"text":"70274115 - 2026 - Tidal forested wetlands can be incorporated into blue carbon conservation and restoration strategies","interactions":[],"lastModifiedDate":"2026-02-27T15:48:44.05841","indexId":"70274115","displayToPublicDate":"2026-02-20T09:47:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23313,"text":"Current Forestry Reports","active":true,"publicationSubtype":{"id":10}},"title":"Tidal forested wetlands can be incorporated into blue carbon conservation and restoration strategies","docAbstract":"

Purpose of Review

Blue carbon is an important concept for environmental policy. Blue carbon strategies (conservation and restoration for carbon gain) have been primarily implemented with mangroves, though are likely to be suitable for other tidal forested wetlands. Here, we discuss the expanding definition of blue carbon encompassing all tidal forested wetlands, synthesize ecological and carbon sink knowledge of tidal forested wetlands, and reflect on key actions in mangrove blue carbon research and implementation that could be applied to other tidal forested wetlands.

Recent Findings

Conceptually, the blue carbon concept has now expanded beyond traditional coastal vegetated ecosystems to include all tidal wetlands, including tidal forested wetlands. Emerging data on carbon sequestration, emissions, and budgets from around the world now show that many tidal forested wetland ecosystems are carbon sinks at a magnitude similar to mangroves. At the global scale, mangroves have become incorporated into blue carbon strategies rapidly compared to other tidal forested wetlands, facilitated by agenda-setting papers, adequate data addressing concerns on emissions and permanence, the availability of global maps, a clear ecosystem definition, clear accounting and policy frameworks, and international stakeholders who acted as high profile ecosystem advocates, alongside long-term capacity building efforts. This provides a roadmap for implementation in other tidal forested wetlands.

Summary

Tidal forested wetlands other than mangroves have high potential for blue carbon management. Many tidal forested wetlands share biophysical similarities with mangroves, carbon stocks can be similar, and methane emissions are often no higher. An increasing evidence base, challenging assumptions around greenhouse gas fluxes, and robust engagement with policy actors and frameworks, could increase the use of blue carbon for tidal forested wetland conservation and restoration.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s40725-026-00271-1","usgsCitation":"Friess, D.A., Adame, M.F., Kelleway, J., Krauss, K.W., and Noe, G.B., 2026, Tidal forested wetlands can be incorporated into blue carbon conservation and restoration strategies: Current Forestry Reports, v. 19, 9, 14 p., https://doi.org/10.1007/s40725-026-00271-1.","productDescription":"9, 14 p.","ipdsId":"IP-183794","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":501264,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1IY7V9Q","text":"USGS data release","linkHelpText":"Greenhouse Gas Fluxes along a Tidal Gradient of Low Salinity Freshwater Forested Wetlands"},{"id":500810,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40725-026-00271-1","text":"Publisher Index Page"},{"id":500755,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1FXRJBM","text":"USGS data release","linkHelpText":"Literature rates of measured methane fluxes from tidal wetland soils to the atmosphere"},{"id":500648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":367011,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel","middleInitial":"A.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":956577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adame, Maria F.","contributorId":367012,"corporation":false,"usgs":false,"family":"Adame","given":"Maria","middleInitial":"F.","affiliations":[{"id":25525,"text":"Australian Rivers Institute","active":true,"usgs":false}],"preferred":false,"id":956578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelleway, Jeffrey","contributorId":149007,"corporation":false,"usgs":false,"family":"Kelleway","given":"Jeffrey","email":"","affiliations":[{"id":17618,"text":"Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Broadway, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":956579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W.","contributorId":367013,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":956580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":956581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274068,"text":"70274068 - 2026 - Future aquatic invaders of the Northeast U.S.: How climate change, human vectors, and natural history could bring southern and western species north","interactions":[],"lastModifiedDate":"2026-02-23T15:56:21.370233","indexId":"70274068","displayToPublicDate":"2026-02-20T09:44:25","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Future aquatic invaders of the Northeast U.S.: How climate change, human vectors, and natural history could bring southern and western species north","docAbstract":"As environmental conditions change, land managers are increasingly concerned about the potential for new aquatic invasive species to move into their jurisdictions. Because managers may have limited resources, detecting invasive species early is important as prevention is more effective and less costly than ongoing mitigation of established populations. Tools built to assist early detection efforts often use information on pathways of spread (how species move through a landscape) and maps of suitability (where habitat allows a species to live and reproduce). While each is useful, information on pathways or suitability alone provides only a part of the story of invasion risk. To better anticipate the risk of invasive species expanding their ranges into the Northeast U.S., there is a need to improve the way we combine and use pathways and suitability information, especially across large areas (e.g., states, regions). \n\nTo fill this need, we took a new approach that combines estimates of current and future suitability with a diverse variety of pathways that gives us invasion risk scores for more than 100 freshwater invaders (fishes, plants, and invertebrates) across the Northeast U.S. In this report, we provide an overview of our methodology, results, and a description of the ongoing work to make the data publicly available. This work can be used to aid early detection efforts and associated management activities at state and local levels, including the identification of invasion risk hotspots and ranking of individual species risk to help anticipate and prevent invader establishment.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Jarnevich, C.S., Engelstad, P., LeClare, S.K., Inman, R.D., Pfingsten, I., Daniel, W., 2026, Future aquatic invaders of the Northeast U.S.: How climate change, human vectors, and natural history could bring southern and western species north: Final Report, 12 p.","productDescription":"12 p.","ipdsId":"IP-183270","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":500409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500383,"rank":1,"type":{"id":15,"text":"Index 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North American beavers (Castor canadensis) are increasingly being used to achieve restoration goals, prompting practitioners to engage with private landowners in efforts to promote beaver coexistence. Through 23 semi-structured interviews with restoration practitioners in Oregon, USA, we explored how practitioners from government agencies, non-governmental organizations (NGOs), service organizations, and private businesses communicate with private landowners about nonlethal beaver management and habitat creation. Using abductive analysis, we identified trust-building as an essential element of restoration practice. Practitioners described 60 tactics for building trust, which we organized using the Shared Foundations model of trust and distrust and the adaptive management cycle to bridge theory with field-based experience. Practitioners also reported navigating tensions between tactics and adapting their approaches to individual landowners and contexts. We argue that trust-building is a craft that can be mastered, propose a potential progression from novice to master trust-builder, and highlight the need for greater attention to trust, relationships, and trust repair in environmental management. Our findings offer a theoretically grounded yet practitioner-informed framework for understanding and improving trust-building efforts in restoration practice.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00267-026-02400-9","usgsCitation":"Erickson, B.D., and Jones, M.S., 2026, Trust-building as a keystone activity in beaver-related restoration practice: Environmental Management, v. 76, 110, 16 p., https://doi.org/10.1007/s00267-026-02400-9.","productDescription":"110, 16 p.","ipdsId":"IP-184779","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-026-02400-9","text":"Publisher Index Page"},{"id":501952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.23853076911831,\n 46.240570035688165\n ],\n [\n -124.67829678787554,\n 42.66685258151891\n ],\n [\n -124.39381012914876,\n 41.995038024510364\n ],\n [\n -117.01230604375972,\n 41.97025659471865\n ],\n [\n -117.06282012339243,\n 44.48762153969409\n ],\n [\n -116.30658335589958,\n 45.585850866979015\n ],\n [\n -116.59266632544107,\n 46.0641293518556\n ],\n [\n -124.23853076911831,\n 46.240570035688165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Brian D.","contributorId":369042,"corporation":false,"usgs":false,"family":"Erickson","given":"Brian","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958344,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274517,"text":"70274517 - 2026 - Communicating darkness: Visitor preferences for dark sky interpretation","interactions":[],"lastModifiedDate":"2026-03-30T14:05:15.906102","indexId":"70274517","displayToPublicDate":"2026-02-20T08:59:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7356,"text":"Journal of Interpretation Research","active":true,"publicationSubtype":{"id":10}},"title":"Communicating darkness: Visitor preferences for dark sky interpretation","docAbstract":"

Utah parks are attracting an increasing number of visitors due to the quality dark sky viewing opportunities. Despite increasing engagement in nighttime recreation, limited research exists on visitor interest in interpretation for dark skies in state and national parks. Nighttime visitors at nine Utah state and national park units certified as dark sky parks were surveyed to evaluate their preferences for dark sky-related interpretive topics and communication methods. Visitors expressed the strongest interest in astronomy and improving dark sky viewing, with ranger-led programs emerging as the most favored delivery method. National park visitors showed greater interest than state park visitors in self-guided learning formats such as interpretive displays and mobile apps for topics such as dark sky viewing/astronomy and viewing wildlife at night. These findings highlight the benefits of diverse, yet targeted communication strategies to improve visitor experiences of dark skies and foster stewardship of natural darkness in parks.

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\"}}]}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Zachary A. 0000-0002-0242-0231","orcid":"https://orcid.org/0000-0002-0242-0231","contributorId":368911,"corporation":false,"usgs":false,"family":"Russell","given":"Zachary","middleInitial":"A.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeco, J. Adam 0000-0002-4233-7061","orcid":"https://orcid.org/0000-0002-4233-7061","contributorId":368912,"corporation":false,"usgs":false,"family":"Beeco","given":"J.","middleInitial":"Adam","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Zachary D. 0000-0001-9909-1202","orcid":"https://orcid.org/0000-0001-9909-1202","contributorId":329372,"corporation":false,"usgs":false,"family":"Miller","given":"Zachary D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Anna B. 0000-0002-4919-8156","orcid":"https://orcid.org/0000-0002-4919-8156","contributorId":368913,"corporation":false,"usgs":false,"family":"Miller","given":"Anna","middleInitial":"B.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":958086,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamborn, Chase C. 0000-0003-0854-6270","orcid":"https://orcid.org/0000-0003-0854-6270","contributorId":329371,"corporation":false,"usgs":false,"family":"Lamborn","given":"Chase","middleInitial":"C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":958087,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Jordan W. 0000-0001-7036-4887","orcid":"https://orcid.org/0000-0001-7036-4887","contributorId":368914,"corporation":false,"usgs":false,"family":"Smith","given":"Jordan","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":958088,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274039,"text":"70274039 - 2026 - American kestrel population trends and vital rates at the continental scale","interactions":[],"lastModifiedDate":"2026-02-23T17:22:11.732582","indexId":"70274039","displayToPublicDate":"2026-02-19T11:16:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"American kestrel population trends and vital rates at the continental scale","docAbstract":"

The American kestrel (Falco sparverius, hereafter referred to as kestrel) has declined across much of its North American range since at least the mid-1960s. Kestrel population dynamics have been explored through a multitude of local studies and two broad reviews of available data. Across large geographic extents, however, the demographic cause(s) of kestrel population declines remain(s) largely unknown. As part of a collaborative effort to elucidate the drivers of kestrel population declines, we developed a continental-scale integrated population model using band-recovery data, productivity data, and Breeding Bird Survey indices from 1986 to 2019 to estimate indices of annual population sizes, survival, and productivity rates across the continental United States. We detected a decline in population size of ~1%–2% per year. Overall estimates of population growth from 1986 to 2019 suggest a 29% decline in population size (95% CI = −34% to −23%). There was little evidence of a trend in brood size. However, survival of juvenile birds (mean = −0.015, SD = 0.008 and mean = −0.024, SD = 0.010 for females and males, respectively) and adult males (mean = −0.016, SD = 0.010) in the summer declined, suggesting that these vital rates could be contributing to declines in populations over time. Winter adult survival rates (mean = −0.004, SD = 0.009 and mean = −0.009, SD = 0.010 for females and males, respectively) also declined but to a lesser extent than summer survival. For juvenile birds, winter survival increased (mean = 0.006, SD = 0.008 and mean = 0.002, SD = 0.009 for females and males, respectively); however, this was not enough to offset declines in summer survival and annual survival rates declined over the time series. Annual adult survival was also low relative to previous research on kestrel survival rates. Given the importance of survival to population trends, our findings provide support for several previously proposed broad classes of factors potentially contributing to observed population declines: declines in arthropod prey, second-generation rodenticides, neonicotinoid insecticides, and predation.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70526","usgsCitation":"Howell, P.E., Lawson, A.J., Davis Kristin P., Zimmerman, G.S., Robinson, O.J., Boggie, M.A., Eaton, M.J., Abadi, F., Brown, J.L., Heath, J.A., Smallwood, J.A., Steenhof, K., Swem, T., Rolek, B.W., McClure, C.J., Therrien, J., Miller, K.E., Milsap, B.A., 2026, American kestrel population trends and vital rates at the continental scale: Ecosphere, v. 17, no. 2, e70526, 18 p., https://doi.org/10.1002/ecs2.70526.","productDescription":"e70526, 18 p.","ipdsId":"IP-166530","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500756,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1FDMI2L","text":"USGS data release","linkHelpText":"A continental-scale integrated population model for the American kestrel"},{"id":500592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70526","text":"Publisher Index Page"},{"id":500428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige E.","contributorId":366801,"corporation":false,"usgs":false,"family":"Howell","given":"Paige","middleInitial":"E.","affiliations":[],"preferred":false,"id":956247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":956248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis Kristin P.","contributorId":366802,"corporation":false,"usgs":false,"family":"Davis Kristin P.","affiliations":[],"preferred":false,"id":956249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Guthrie S.","contributorId":366803,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","middleInitial":"S.","affiliations":[],"preferred":false,"id":956250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Orin J.","contributorId":366804,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","middleInitial":"J.","affiliations":[],"preferred":false,"id":956251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boggie, Matthew A.","contributorId":366805,"corporation":false,"usgs":false,"family":"Boggie","given":"Matthew","middleInitial":"A.","affiliations":[],"preferred":false,"id":956252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956253,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brown, Jessi L.","contributorId":366807,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[],"preferred":false,"id":956255,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Heath, Julie A.","contributorId":366808,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":false,"id":956256,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smallwood, John A.","contributorId":366809,"corporation":false,"usgs":false,"family":"Smallwood","given":"John","middleInitial":"A.","affiliations":[],"preferred":false,"id":956257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":203439,"corporation":false,"usgs":false,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[],"preferred":false,"id":956258,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Swem, Ted","contributorId":200583,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":956259,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rolek, Brian W.","contributorId":366810,"corporation":false,"usgs":false,"family":"Rolek","given":"Brian","middleInitial":"W.","affiliations":[],"preferred":false,"id":956260,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McClure, Christopher J.W.","contributorId":366811,"corporation":false,"usgs":false,"family":"McClure","given":"Christopher","middleInitial":"J.W.","affiliations":[],"preferred":false,"id":956261,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Therrien, Jean-Francois","contributorId":336846,"corporation":false,"usgs":false,"family":"Therrien","given":"Jean-Francois","email":"","affiliations":[{"id":80885,"text":"Université de Moncton, Moncton, NB, Canada","active":true,"usgs":false}],"preferred":false,"id":956262,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Karl E.","contributorId":366812,"corporation":false,"usgs":false,"family":"Miller","given":"Karl","middleInitial":"E.","affiliations":[],"preferred":false,"id":956263,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Milsap, Brian A.","contributorId":366813,"corporation":false,"usgs":false,"family":"Milsap","given":"Brian","middleInitial":"A.","affiliations":[],"preferred":false,"id":956264,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70274566,"text":"70274566 - 2026 - Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization","interactions":[],"lastModifiedDate":"2026-04-01T16:50:46.824141","indexId":"70274566","displayToPublicDate":"2026-02-19T09:40:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization","docAbstract":"

Genetic structuring in wildlife populations is driven by barriers that restrict gene flow as well as the history of population demography. Mechanisms driving genetic structuring can be nuanced in group-living species, such as gray wolves (Canis lupus). Behavioral factors, such as social affiliation and resistance, natal habitat imprinting, and trade-offs between dispersal from natal packs and territorial biding, affect habitat selection of wolves despite landscape barriers providing little resistance to their extensive dispersal capabilities. Wolves were previously extirpated from Idaho, USA, and current populations are the result of both reintroductions in 1995 and 1996 and natural dispersal from Canada. In this context we examined genetic structure of wolves in Idaho using 101 individuals genotyped at 18 nuclear DNA microsatellite loci and a subset of 38 individuals genotyped at 1019 single nucleotide polymorphism markers. We hypothesized panmictic (i.e., random mating) genetic structure in Idaho due to the long-distance dispersal abilities of gray wolves. Contrary to our hypothesis, we found three genetic clusters of gray wolves in Idaho, primarily supported by SNP markers. Microsatellite data suggested similar patterns, but permutation tests indicated these differences were not statistically significant. The extent of differentiation and evidence of gene flow, however, suggests that the three genetic clusters are not wholly isolated from one another. The distinctions between clusters spatially align with areas of reintroduction into central Idaho and Yellowstone National Park, as well ongoing natural recolonization from adjacent populations in Canada and Montana. Wolves at the periphery of analysis areas showed more admixture than those in the core, consistent with territoriality and mating behaviors contributing to genetic structuring. We demonstrate how management history, including reintroduction efforts, and animal behavior may interact and contribute to patterns of genetic structure in wild populations.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01755-6","usgsCitation":"Clendenin, H.R., Ausband, D.E., Adams, J.R., Hohenlohe, P.A., and Waits, L.P., 2026, Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization: Conservation Genetics, v. 27, 30, 11 p., https://doi.org/10.1007/s10592-025-01755-6.","productDescription":"30, 11 p.","ipdsId":"IP-136208","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01755-6","text":"Publisher Index Page"},{"id":501953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Northern Rocky Mountains Wolf Recovery Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.08509261498602,\n 49.10500388508157\n ],\n [\n -117.05764655221488,\n 46.418730789204986\n ],\n [\n -116.5785938289533,\n 45.683554891812435\n ],\n [\n -117.26905107451866,\n 44.404354674727344\n ],\n [\n -117.05109052176243,\n 44.02557490237417\n ],\n [\n -116.97139685452663,\n 41.98267152652929\n ],\n [\n -111.21240510431065,\n 42.041428872098706\n ],\n [\n -111.13670361755304,\n 40.97752447458031\n ],\n [\n -104.10237201439321,\n 41.00804696280437\n ],\n [\n -104.10237201439321,\n 49.10500388508157\n ],\n [\n -117.08509261498602,\n 49.10500388508157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2026-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clendenin, Heather R.","contributorId":369027,"corporation":false,"usgs":false,"family":"Clendenin","given":"Heather","middleInitial":"R.","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":958319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jennifer R.","contributorId":369028,"corporation":false,"usgs":false,"family":"Adams","given":"Jennifer","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hohenlohe, Paul A.","contributorId":369029,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":369030,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette","middleInitial":"P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274651,"text":"70274651 - 2026 - Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models","interactions":[],"lastModifiedDate":"2026-04-02T15:41:18.317123","indexId":"70274651","displayToPublicDate":"2026-02-19T08:37:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"title":"Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models","docAbstract":"

Characterizing geochemical and mineralogical soil distributions across large spatial extents is essential for understanding mineral resources, ecosystem processes, and environmental risks. Rasters of soil geochemical distributions for the conterminous United States, however, are limited. We present a Bayesian modeling workflow and tool for generating predictive geochemical and mineralogy distribution maps for the conterminous United States using integrated nested Laplace approximation (INLA) with the stochastic partial differential equation approach. By modeling soil geostatistical data with environmental covariates (soil properties, topography, climate, and land cover), we generate predictive distributions of soil geochemistry that can be mapped or extracted for further analyses. As an example, we model the spatial distribution of trace elements in soil relevant to vertebrate health (cobalt, copper, iron, manganese, selenium, and zinc) and provide a workflow that can be used to generate and visualize predictive distributions of 39 other major and trace elements and 21 minerals of the soil survey, supporting a variety of ecological, environmental, and agricultural applications.

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David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958567,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273887,"text":"cir1562 - 2026 - Artificial intelligence strategy for the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2026-02-23T22:07:47.820051","indexId":"cir1562","displayToPublicDate":"2026-02-18T17:15:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1562","displayTitle":"Artificial Intelligence Strategy for the U.S. Geological Survey","title":"Artificial intelligence strategy for the U.S. Geological Survey","docAbstract":"

Artificial intelligence (AI) can offer opportunities to enhance the science, science delivery, and business operations of the U.S. Geological Survey (USGS). Although USGS staff have proactively adopted AI into our workflows for many years, a comprehensive USGS strategy for AI has not previously been developed. The strategy described here is motivated by the acceleration of AI technological development, the benefits of increased AI adoption to USGS mission delivery as anticipated by USGS staff, rising public concern about the implications and trustworthiness of AI, and emerging Federal directives and guidance about AI. The USGS vision is to continue integrating AI to deliver valuable science for the public good while maintaining high ethical standards, scientific quality and integrity, and compliance with Federal and U.S. Department of the Interior requirements. To realize this vision, the USGS can take steps to (1) develop a strong AI workforce, (2) adapt our organizational approaches to include AI governance and communication, (3) ensure responsible and trustworthy use of AI, (4) modernize our computing and data infrastructure to support AI, and (5) accelerate AI adoption and innovation in the Bureau.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1562","usgsCitation":"Gordon, J.M., Appling, A.P., Aretxabaleta, A., Bechtell, J.F., Burley, T.E., Carter, J.M., Esselman, P.C., Fisher, J.C., Lederer, G.W., Mitchell, J.M., Pastick, N.J., Weltzin, J., and Woods, T., 2026, Artificial intelligence strategy for the U.S. Geological Survey: U.S. Geological Survey Circular 1562, 14 p., https://doi.org/10.3133/cir1562.","productDescription":"iv, 14 p.","onlineOnly":"Y","ipdsId":"IP-173214","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":500162,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1562/cir1562.xml"},{"id":500469,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1562/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1562"},{"id":499803,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1562/cir1562.pdf","text":"Report","size":"2.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1562"},{"id":499802,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1562/coverthb2.jpg"},{"id":500161,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1562/images"}],"contact":"

Director, Science Analytics and Synthesis Program
U.S. Geological Survey
2P.O. Box 25046, Mail Stop 302
Denver, CO 80225

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