Growing concern about the quantity of available freshwater around the world has led to interest in surveying groundwater total dissolved solids (TDS) below water well depths. Deep TDS has not been systematically mapped, and there is much to learn about the distribution and controls on deeper groundwater. In sedimentary basins across the United States, groundwater resources often overlie hydrocarbon resources, providing an opportunity to use borehole geophysical data collected for hydrocarbons to characterize groundwater and pore space resources. This study adapts a recently developed subsurface geostatistical and geophysical modeling approach to continuously map groundwater TDS, porosity, and temperature in the Dakota Group of the Williston Basin—an undercharacterized regional aquifer system overlying deeper hydrocarbon reservoirs. Groundwater TDS in the Dakota Group ranges from approximately 4800 to 26,900 mg/L. TDS patterns are stratified with higher TDS in the lower and upper Dakota Group, and relatively lower TDS in the middle Dakota Group. The lower TDS in the middle zone may represent a preferential regional flow path for lower-TDS meteoric recharge from the west. The alternating pattern of TDS may also be evidence of higher-TDS inflows into the Dakota Group from underlying and potentially from overlying aquifers. Porosity is lower near the center of the Williston Basin and tends to be higher to the east, which may be related to grain size distributions. The new regional TDS and porosity modeling serves as a quantitative reference for water users and provides supporting evidence for hypotheses on Dakota Group recharge.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70066","usgsCitation":"Stephens, M.J., Hoogenboom, B.E., Ball, L.B., and Chang, W., 2026, Deep groundwater total dissolved solids mapping in the Dakota Group, Williston Basin, USA: Groundwater, v. 64, no. 3, p. 335-349, https://doi.org/10.1111/gwat.70066.","productDescription":"15 p.","startPage":"335","endPage":"349","ipdsId":"IP-174811","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502231,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502477,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70066","text":"Publisher Index Page"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.26471431075939,\n 48.994091810782606\n ],\n [\n -106.3042800156854,\n 48.14876366539232\n ],\n [\n -105.71979621869451,\n 47.2096977369178\n ],\n [\n -104.58977916779222,\n 45.71612236688222\n ],\n [\n -103.4821951575731,\n 45.44295385860377\n ],\n [\n -101.80119627681282,\n 46.231716648136825\n ],\n [\n -100.86747364635656,\n 47.35057238526366\n ],\n [\n -100.54412186741868,\n 49.011106101113484\n ],\n [\n -106.26046319835494,\n 49.00127001005359\n ],\n [\n -106.26912726837928,\n 48.99219595751953\n ],\n [\n -106.26471431075939,\n 48.994091810782606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogenboom, Bennett Eugene 0000-0001-8096-3533","orcid":"https://orcid.org/0000-0001-8096-3533","contributorId":239871,"corporation":false,"usgs":true,"family":"Hoogenboom","given":"Bennett","email":"","middleInitial":"Eugene","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Will 0000-0002-0796-0763","orcid":"https://orcid.org/0000-0002-0796-0763","contributorId":208210,"corporation":false,"usgs":false,"family":"Chang","given":"Will","email":"","affiliations":[{"id":37763,"text":"Hypergradient LLC","active":true,"usgs":false}],"preferred":false,"id":958764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275090,"text":"70275090 - 2026 - Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects","interactions":[],"lastModifiedDate":"2026-04-15T15:51:40.835037","indexId":"70275090","displayToPublicDate":"2026-04-01T10:42:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC/CHL TR-26-7","title":"Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects","docAbstract":"The escape and subsequent spread of invasive carp (notably, bighead carp [Hypophthalmichthys nobilis] and silver carp [H. molitrix]) from aquaculture ponds and sewage lagoons into the Mississippi and Illinois Rivers poses a significant risk to further spread of these fish into the Great Lakes. Prior research demonstrated that commercial tows can transport juvenile invasive carp through locks and other barriers to fish migration. A recent physical model study recommended a linear array of bubble diffusers, the Automated Barge Clearing Deterrent (ABCD), for further evaluation in mitigating the transport of small fish in commercial tows. The present field study evaluated the ABCD for navigation safety and barge junction flushing capacity. An instrumented commercial tow executed 119 lock approaches with the ABCD both operating and idle. Pilot interviews and tow trajectory analysis indicated no significant navigation safety issues. The measured velocity data, fish recapture data, and a simple fish displacement model indicated that the ABCD produced sufficient flow to expel all passive objects and many small juvenile invasive carp. However, the ABCD is less likely to expel large juvenile invasive carp due to their stronger swimming ability. The ABCD and two alternative configurations prove strong contenders for further development and application.
","language":"English","publisher":"Engineer Research and Development Center","doi":"10.21079/11681/50168","usgsCitation":"Smith, S.J., LeRoy, J.Z., Wainwright, C., and Glubzinski, M., 2026, Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects: Technical Report ERDC/CHL TR-26-7, xii, 114 p., https://doi.org/10.21079/11681/50168.","productDescription":"xii, 114 p.","ipdsId":"IP-154304","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River, Peoria Lock and Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.61745931422736,\n 40.63749779366924\n ],\n [\n -89.633583493815,\n 40.63749779366924\n ],\n [\n -89.633583493815,\n 40.626157323444914\n ],\n [\n -89.61745931422736,\n 40.626157323444914\n ],\n [\n -89.61745931422736,\n 40.63749779366924\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, S. Jarrell 0000-0002-8649-5598","orcid":"https://orcid.org/0000-0002-8649-5598","contributorId":361683,"corporation":false,"usgs":false,"family":"Smith","given":"S.","middleInitial":"Jarrell","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":959428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wainwright, Charles","contributorId":369957,"corporation":false,"usgs":false,"family":"Wainwright","given":"Charles","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":959430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glubzinski, Michael","contributorId":369958,"corporation":false,"usgs":false,"family":"Glubzinski","given":"Michael","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":959431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275357,"text":"70275357 - 2026 - Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon","interactions":[],"lastModifiedDate":"2026-04-30T15:33:47.718435","indexId":"70275357","displayToPublicDate":"2026-04-01T10:26:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13436,"text":"Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon","docAbstract":"J.N. “Ding” Darling National Wildlife Refuge (DDNWR) is located on Sanibel Island along the southwestern coast of Florida, USA. There, eutrophication attributed to agricultural discharge along the Caloosahatchee River has affected the area’s aquatic habitat. In anticipation of additional nutrient loading, we experimentally fertilized mangrove forests with nitrogen (+N; NH4) and phosphorus (+P; P2O5) for 3 years, and monitored soil and pneumatophore CO2 fluxes and tree sap flow from two mangrove species. Furthermore, we modeled individual tree and stand water use, from which we developed carbon (C) budgets for +N and + P vs. control simulations based on a novel application of water use efficiency conversion. Many of the measured response variables provided hints of subtle changes in response to +P rather than +N, which were enhanced when scaled. From this, we found that additional P loading is expected to reduce both gross and net primary productivity as well as CO2 uptake via net ecosystem exchange of C, likely pressing the system beyond metabolic capacity and leading to a 48–62% decrease in projected lateral C export. Greater eutrophication will likely compound vulnerabilities to sea-level rise submergence, especially where P concentrations are high and already reducing soil surface elevations.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2026.10025","usgsCitation":"Krauss, K.W., Conrad, J.R., Duberstein, J.A., Ward, E.J., Drexler, J.Z., Buffington, K.J., Benscoter, B.W., Miller, H.J., Faron, N.T., Merino, S., From, A., Peneva-Reed, E., Zhu, Z., Thorne, K., and Feller, I.C., 2026, Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon: Coastal Futures, v. 4, e6, 16 p., https://doi.org/10.1017/cft.2026.10025.","productDescription":"e6, 16 p.","ipdsId":"IP-184264","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":505305,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M9F5UM","text":"USGS data release","linkHelpText":"Sap flow, leaf water use efficiency, and partial weather station data to support stand water use modeling by nutrient treatment (N, P) for mangroves of Ding Darling NWR, Sanibel Island, Florida (2019-2020)"},{"id":503793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2026.10025","text":"Publisher Index Page"},{"id":503684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"J.N. “Ding” Darling National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.26438925379385,\n 26.619478639516487\n ],\n [\n -81.98882113982609,\n 26.619478639516487\n ],\n [\n -81.98882113982609,\n 26.38991540523942\n ],\n [\n -82.26438925379385,\n 26.38991540523942\n ],\n [\n -82.26438925379385,\n 26.619478639516487\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken W.","contributorId":370704,"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":960687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Jeremy R.","contributorId":370705,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":960688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duberstein, Jamie A.","contributorId":370706,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie","middleInitial":"A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":960689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Eric J.","contributorId":370707,"corporation":false,"usgs":false,"family":"Ward","given":"Eric","middleInitial":"J.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":960690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benscoter, Brian W.","contributorId":370708,"corporation":false,"usgs":false,"family":"Benscoter","given":"Brian","middleInitial":"W.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":960693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Haley Jane","contributorId":370709,"corporation":false,"usgs":false,"family":"Miller","given":"Haley","middleInitial":"Jane","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":960694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Faron, Natalie T.","contributorId":370710,"corporation":false,"usgs":false,"family":"Faron","given":"Natalie","middleInitial":"T.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":960695,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Merino, Sergio 0000-0002-2834-2243 merinos@usgs.gov","orcid":"https://orcid.org/0000-0002-2834-2243","contributorId":3653,"corporation":false,"usgs":true,"family":"Merino","given":"Sergio","email":"merinos@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":960696,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":370711,"corporation":false,"usgs":false,"family":"From","given":"Andrew","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":960697,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peneva-Reed, Elitsa I. 0000-0002-4570-4701","orcid":"https://orcid.org/0000-0002-4570-4701","contributorId":294531,"corporation":false,"usgs":false,"family":"Peneva-Reed","given":"Elitsa I.","affiliations":[],"preferred":false,"id":960698,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zhu, Zhiliang 0000-0002-6860-6936","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":290659,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhiliang","affiliations":[{"id":62470,"text":"U.S. Geological Survey, Reston, VA","active":true,"usgs":false}],"preferred":false,"id":960699,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960700,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Feller, Ilka C.","contributorId":370724,"corporation":false,"usgs":false,"family":"Feller","given":"Ilka","middleInitial":"C.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":960701,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70275258,"text":"70275258 - 2026 - Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update","interactions":[],"lastModifiedDate":"2026-04-24T14:39:10.06644","indexId":"70275258","displayToPublicDate":"2026-04-01T09:21:51","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":"Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update","docAbstract":"A key use‐case of geologic slip rates is within deformation models used in probabilistic seismic hazard analyses. Field‐derived geologic slip rates have formed the cornerstone of deformation models in such applications for decades. Recent advancements in seismic hazard analyses have expanded the use of faults for which geologic slip rates are not well constrained using categorical slip rate estimates. Because of these advancements, application of a geologic deformation model for use in 2025 U.S. Geological Survey National Seismic Hazard Model Puerto Rico‐U.S. Virgin Islands (NSHM25‐PRVI) proved challenging due to: (1) a lack of field‐based geologic slip rates, and (2) a lack of epistemic uncertainty distributions within a broad range of estimated slip rates. Preliminary versions of the NSHM25‐PRVI model sampled these slip rate bins in a coincident manner along preferred and extreme value branches, which yielded untenable correlations in mean hazard results. To minimize the influence of correlated uncertainties amid these challenges, we develop a synthetic epistemic uncertainty distribution for deformation rate on each crustal fault. Each fault has a weighting schema across four possible distribution shapes: uniform, normal, triangular favoring local minima, and triangular favoring local maxima. The synthetic distributions are then sampled several times for each logic tree branch. The results provide a more realistic distribution of rates across the study region as compared with using correlated extrema sampling. This exploration of our method in a small region like PRVI can pave the way for larger‐scale, more complicated applications (e.g., western United States).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250094","usgsCitation":"Hatem, A.E., Milner, K., Briggs, R.W., and Jobe, J.A., 2026, Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update: Seismological Research Letters, https://doi.org/10.1785/0220250094.","ipdsId":"IP-179152","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":503762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250094","text":"Publisher Index Page"},{"id":503512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, US Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70,\n 21\n ],\n [\n -62,\n 21\n ],\n [\n -62,\n 16\n ],\n [\n -70,\n 16\n ],\n [\n -70,\n 21\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":960262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960264,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274682,"text":"70274682 - 2026 - Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables","interactions":[],"lastModifiedDate":"2026-04-06T14:19:40.048443","indexId":"70274682","displayToPublicDate":"2026-04-01T09:15:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables","docAbstract":"Streamflows in Massachusetts have set record lows in recent years despite generally wetter conditions than during the drought of the 1960s, and the reasons for this are not known. To analyse potential drivers of low streamflows in Massachusetts, six low-flow metrics were computed at 107 streamgages. These metrics represent low-flow magnitude, magnitude normalized to median flows, and duration. Multiple linear regressions were used to analyse the variability of low flows over space and time. Potential explanatory variables were computed using climatic, land use, water use, and basin data. For all low-flow metrics, the ratio of precipitation to potential evapotranspiration (P/PET) in July–August explained the most variability, with decreasing P/PET largely explained by lower precipitation. Water/wetland area was a significant explanatory variable in all the normalized-magnitude and duration models, with greater area associated with lower normalized magnitudes and with shorter durations of low flows. Human influence (characterized by development, population, water use, and artificial water storage) had mixed effects. Trends from 1983 to 2022 in summer P/PET and human influence have been strongest in the eastern part of the state where the strongest decreases in flows are observed. Low flows in Massachusetts seem to be driven by a combination of low summer precipitation and human effects, though the specific mechanisms of human influence on flow likely vary between basins.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70108","usgsCitation":"Chamberlin, C.A., and Hodgkins, G., 2026, Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables: Journal of the American Water Resources Association, v. 62, no. 2, e70108, 19 p., https://doi.org/10.1111/1752-1688.70108.","productDescription":"e70108, 19 p.","ipdsId":"IP-176468","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70108","text":"Publisher Index Page"},{"id":502200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Chamberlin, Catherine A. 0000-0002-1307-4784","orcid":"https://orcid.org/0000-0002-1307-4784","contributorId":331334,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Catherine","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":214833,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958690,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275171,"text":"70275171 - 2026 - Small cumulative survival costs of enzootic disease could suppress long-term population size","interactions":[],"lastModifiedDate":"2026-04-20T14:05:28.185274","indexId":"70275171","displayToPublicDate":"2026-04-01T08:55:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Small cumulative survival costs of enzootic disease could suppress long-term population size","docAbstract":"Fungal pathogens can cause epizootics that result in widespread mortality and rapid population declines in some species. However, even in the absence of high disease-induced mortality, enzootic mycoses could have large-scale impacts on host population dynamics. Here, we examined the effects of ophidiomycosis, an enzootic fungal disease, on a Louisiana snake community over a 3-year period using a multi-state Jolly–Seber model with disease-state misclassification. We did not detect a difference between the average weekly apparent survival probability of uninfected and infected hosts for either Nerodia species or Thamnophis proximus. We also found a strong positive association between snout-to-vent length and weekly apparent survival probability across all species. We found that recruitment of infected hosts was slightly higher than recruitment of uninfected hosts for two of the three species. Population projections suggested divergent trajectories between disease-present and disease-absent scenarios, where disease-absent populations had higher abundance than disease-present populations. Our results highlight that small differences in survival can accumulate over time, as well as the challenges of quantifying population-level impacts of enzootic diseases when survival differences are not readily detected, underscoring the importance of continued long-term monitoring to assess whether ophidiomycosis affects snake population dynamics.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rsos.251694","usgsCitation":"Glorioso, B., DiRenzo, G.V., Lorch, J., Mosher, B.A., Miller, D.A., Campbell Grant, E.H., and Waddle, H., 2026, Small cumulative survival costs of enzootic disease could suppress long-term population size: Royal Society Open Science, v. 13, no. 4, 251694, 23 p., https://doi.org/10.1098/rsos.251694.","productDescription":"251694, 23 p.","ipdsId":"IP-122970","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.251694","text":"Publisher Index Page"},{"id":503245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Vermillion Parish","otherGeospatial":"Palmetto Island State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.15593638201882,\n 29.87357117735192\n ],\n [\n -92.12258224932938,\n 29.87357117735192\n ],\n [\n -92.12258224932938,\n 29.844418708723012\n ],\n [\n -92.15593638201882,\n 29.844418708723012\n ],\n [\n -92.15593638201882,\n 29.87357117735192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":959864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V. 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":370139,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":959865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":264594,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":959866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosher, Brittany A. 0000-0002-8458-9056","orcid":"https://orcid.org/0000-0002-8458-9056","contributorId":370141,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":959867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, David A.W. 0000-0002-3011-3677","orcid":"https://orcid.org/0000-0002-3011-3677","contributorId":370142,"corporation":false,"usgs":false,"family":"Miller","given":"David","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":959869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":204398,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":959870,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275243,"text":"70275243 - 2026 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2025","interactions":[],"lastModifiedDate":"2026-04-24T13:54:40.993114","indexId":"70275243","displayToPublicDate":"2026-04-01T08:46:08","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24011,"text":"Lake Erie Biological Station Annual Report","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"2025","title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2025","docAbstract":"Lake Erie has the most populated watershed of all the Great Lakes and has undergone dramatic anthropogenic changes. Since the 1800s, overexploitation of fish populations, habitat destruction, non-native species proliferation, industrial contamination, and changes in nutrient loading have impacted the fish community including declines in or extirpation of many native species (Regier et al. 1969, Hartman 1973; Leach & Nepszy 1976; Ludsin et al. 2001). Implementation of the Clean Water Act and Great Lakes Water Quality Agreement in the 1970s improved habitat conditions (Reutter 2019), which contributed to several strong percid year-classes (Vandergoot et al. 2019). These strong year-classes also benefited from more restrictive management practices that reduced harvest, ultimately rehabilitating Lake Erie percid stocks (Kayle et al. 2015, STC 2020). Historically, Lake Erie supported a cool water fish community dominated by percids and salmonids. Recently updated FCOs set forth a vision that “Lake Erie will consist of diverse fish communities that support ongoing societal benefits, including thriving commercial and recreational fisheries, improved fish habitat and desirable ecosystem performance, and reduced adverse impacts from invasive fish” (Francis et al. 2020). Today, mixed fisheries resulting from seasonally changing cool and warm water habitats have developed in Lake Erie, and the new FCOs reflect a desire to manage both predator and prey fish communities within them.
Although Lake Erie management agencies have traditionally focused on numerical indices of a few economically important species, aquatic ecosystem models are typically evaluated in terms of entire fish community biomass. As a result, our understanding of fish community structure and ecosystem dynamics from biomass-based models has been limited to short-term investigations and proxy measurements (e.g., length-weight conversion; FTG 2020). Therefore, many Lake Erie fish community databases are now incorporating biomass-based measurements.
In response, USGS revised the Lake Erie trawl program to provide biomass-based measurements for all encountered species (Table 1). The survey design change occurred in 2012, coincident with commissioning of a new research vessel and a change in bottom trawl gear. These modifications already altered the existing time series; therefore, the survey design was also expanded to include greater spatial coverage and increased sample size generating a new time series. The purpose of this report is to develop a comprehensive understanding of the long-term changes and fish community dynamics including population dynamics of key fishes of interest to management agencies, such as native percids and their prey. Here, we summarize survey results for the most recent series of West Basin trawl data from 2013 through 2025.
Note that a detailed description of the sampling process along with traditional numericallybased catch data (e.g., fish/ha) for individual species can be downloaded online (DuFour et al. 2026) or obtained for earlier years (https://doi.org/10.5066/F75M63X0; U.S. Geological Survey, Great Lakes Science Center 2019).
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Dufour, M.R., Guzzo, F., Hilling, C.D., Kohler, B.E., Kraus, R., Oldham, R.C., Roberts, J., and Schmitt, J., 2026, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2025: Lake Erie Biological Station Annual Report 2025, 22 p.","productDescription":"22 p.","ipdsId":"IP-187964","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":503508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503507,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"western Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.51214181996446,\n 42.38000445143351\n ],\n [\n -81.89999576519399,\n 42.38000445143351\n ],\n [\n -81.89999576519399,\n 41.33512689972139\n ],\n [\n -83.51214181996446,\n 41.33512689972139\n ],\n [\n -83.51214181996446,\n 42.38000445143351\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzzo, Francesco 0000-0003-2374-0514","orcid":"https://orcid.org/0000-0003-2374-0514","contributorId":351294,"corporation":false,"usgs":true,"family":"Guzzo","given":"Francesco","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kohler, Branden Eric 0009-0005-9159-9761","orcid":"https://orcid.org/0009-0005-9159-9761","contributorId":370371,"corporation":false,"usgs":true,"family":"Kohler","given":"Branden","middleInitial":"Eric","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oldham, Richard Cole 0000-0002-2331-7612","orcid":"https://orcid.org/0000-0002-2331-7612","contributorId":294345,"corporation":false,"usgs":true,"family":"Oldham","given":"Richard","email":"","middleInitial":"Cole","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960226,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275305,"text":"70275305 - 2026 - Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert","interactions":[],"lastModifiedDate":"2026-04-28T15:04:47.031202","indexId":"70275305","displayToPublicDate":"2026-04-01T07:58:31","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert","docAbstract":"Background:
As solar energy development expands in desert regions, new installation practices and solar technologies seek to balance ecosystem conservation and energy generation (ecovoltaics). The Gemini Solar Project, a large ecovoltaic facility located in the northeastern Mojave Desert, employed low impact installation methods to reduce disturbance of the desert ecosystem within arrays of bifacial panels mounted on solar tracking systems. We evaluated microclimate and environmental conditions across five locations: four within-facility microsites (underneath solar panels, east and west panel driplines, and interspaces between panel rows) and one in the undisturbed desert outside the facility.
Results:
Under panel microsites experienced lower solar radiation and evaporative demand than panel driplines, and driplines experienced lower solar radiation and evaporative demand than interspaces and undisturbed desert outside the facility. Air temperature was similar among microsites, whereas soil surface temperature was highest in interspaces and lower in under-panel and dripline microsites due to diurnal panel shading. Soil temperature was higher under panels compared to interspaces from March to September and lower in other months, and higher during daytime and lower at nighttime periods. Panel tracking and the more frequent occurrence of afternoon precipitation promoted higher soil moisture in west driplines. Water redistribution was also influenced by soil hydraulic conductivity—deep soils experienced greater west dripline soil moisture, whereas shallow soils experienced surface water pooling and greater soil moisture in the west dripline and under solar panels.
Conclusions:
Gemini’s ecovoltaic design promotes microclimate heterogeneity, moderating some environmental conditions while intensifying others, and often differing from fixed panel facilities with higher disturbance. This research provides critical information to balance renewable energy expansion and ecological function in warm deserts.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13717-026-00691-8","usgsCitation":"Pinos, J., Munson, S.M., Karban, C.C., and Petrie, M.D., 2026, Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert: Ecological Processes, v. 15, 33, 14 p., https://doi.org/10.1186/s13717-026-00691-8.","productDescription":"33, 14 p.","ipdsId":"IP-183386","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13717-026-00691-8","text":"Publisher Index Page"},{"id":503590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mojave Desertt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.01799645582278,\n 36.471878495365985\n ],\n [\n -115.01799645582278,\n 36.27025532771148\n ],\n [\n -114.70070106812142,\n 36.27025532771148\n ],\n [\n -114.70070106812142,\n 36.471878495365985\n ],\n [\n -115.01799645582278,\n 36.471878495365985\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Pinos, Juan","contributorId":357729,"corporation":false,"usgs":false,"family":"Pinos","given":"Juan","affiliations":[{"id":85544,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada 89154, USA","active":true,"usgs":false}],"preferred":false,"id":960519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Matthew D.","contributorId":370568,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew","middleInitial":"D.","affiliations":[{"id":87009,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA","active":true,"usgs":false}],"preferred":false,"id":960522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275572,"text":"70275572 - 2026 - Multiscale resource selection for a reintroduced elk population","interactions":[],"lastModifiedDate":"2026-05-05T13:42:44.173006","indexId":"70275572","displayToPublicDate":"2026-03-31T08:44:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale resource selection for a reintroduced elk population","docAbstract":"Patterns of resource selection are driven by the decision-making processes of animals occurring at multiple scales from where to establish a home range (i.e., second order selection) to which resource patches to use within the home range (i.e., third order selection). Elk (Cervus canadensis) were reintroduced to southwestern Virginia, USA, from 2012 to 2014 following successful translocations onto reclaimed surface coal mines in the region. We sought to understand how elk have acclimated following their translocation using location data from GPS-collared adult female elk (n = 33) collected from 2019 to 2022 along with remotely sensed terrain and land cover data. We utilized continuous-time movement models paired with generalized linear mixed-effects modeling to describe seasonal resource selection at second and third orders. At both scales of selection and throughout the year, female elk selected reclaimed surface mines, conifer forests, ridgetops, and areas with lower terrain roughness, while avoiding mixed hardwood and oak (Quercus spp.) forests. Unmined open land was only selected at the third order during periods of forage scarcity (i.e., winter) and increased metabolic requirements (i.e., late gestation). Although surface coal mining leaves legacy environmental impacts on the landscape, management of these sites provides benefits to elk and maintains open habitat that is otherwise limited.
","language":"English","publisher":"MDPI","doi":"10.3390/ani16071076","usgsCitation":"Quinlan, B.A., Jesmer, B.R., Rosenberger, J.P., Ford, W., and Cherry, M.J., 2026, Multiscale resource selection for a reintroduced elk population: Animals, v. 16, no. 7, 1076, 30 p., https://doi.org/10.3390/ani16071076.","productDescription":"1076, 30 p.","ipdsId":"IP-185669","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504192,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani16071076","text":"Publisher Index Page"},{"id":503943,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"southwestern Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.42546273529581,\n 36.723127621735415\n ],\n [\n -83.42546273529581,\n 36.59262364526336\n ],\n [\n -82.85348518624994,\n 36.59262364526336\n ],\n [\n -82.85348518624994,\n 36.723127621735415\n ],\n [\n -83.42546273529581,\n 36.723127621735415\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Quinlan, Braiden A.","contributorId":371042,"corporation":false,"usgs":false,"family":"Quinlan","given":"Braiden","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":960918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jesmer, Brett R.","contributorId":371043,"corporation":false,"usgs":false,"family":"Jesmer","given":"Brett","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":960919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Jacalyn P.","contributorId":371044,"corporation":false,"usgs":false,"family":"Rosenberger","given":"Jacalyn","middleInitial":"P.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":960920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":960921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, Michael J.","contributorId":371045,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael","middleInitial":"J.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":960922,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275764,"text":"70275764 - 2026 - Challenges and opportunities for national-scale projections of future coastal landscape change","interactions":[],"lastModifiedDate":"2026-05-18T14:55:52.325001","indexId":"70275764","displayToPublicDate":"2026-03-31T07:41:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and opportunities for national-scale projections of future coastal landscape change","docAbstract":"Local to global scale projections of future coastal landscape change are essential to improve land and resource management decisions that aim to prepare for and reduce risk exposure to impending coastal hazards. However, the availability of actionable knowledge is often limited due to the complexity of drivers of change, their consequences, and uncertainties that span disciplines. Varying spatial and temporal scales of physical processes that occur on landscapes with differing levels of coastal development and modification complicate decision-making. This paper reviews advances in observational approaches, modeling, and quantification of uncertainty to support the next generation of coastal change projections. We also highlight transdisciplinary opportunities for making this information more accessible and useful to support decision-making in the coastal zone. This includes consideration of different levels of user engagement to address specific needs, as well as resources and mechanisms that can support knowledge transfer broadly. A central recommendation is the development of a coordinated framework to support research integration including three components: accounting for relevant drivers, processes, and feedbacks; working with users to identify their information needs; and generating meaningful projections and uncertainty. Actions that would support such frameworks include the evaluation of models through coordinated research approaches and multi-model comparisons; ongoing investments in observations and data-driven approaches necessary to understand this complex environment; expansion of modeling capabilities using novel techniques; prioritization of co-development efforts between researchers and users; and continued training and support for transdisciplinary research.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005833","usgsCitation":"Lentz, E.E., Passeri, D.L., Zeigler, S.L., White, K., Wahl, T., Stoltz, A.D., Pendleton, E.A., Misra, S., Meckley, T.D., Hamlington, B., Ganju, N., Cravens, A.E., Carr, J., and Buckel, C.A., 2026, Challenges and opportunities for national-scale projections of future coastal landscape change: Earth's Future, v. 14, no. 4, e2024EF005833, 33 p., https://doi.org/10.1029/2024EF005833.","productDescription":"e2024EF005833, 33 p.","ipdsId":"IP-173968","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005833","text":"Publisher Index Page"},{"id":504476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Alaska, California, Florida, New York","otherGeospatial":"Barter Island, Cabo San Lucas, Cedar Key National Wildlife Refuge, Merrit Island National Wildlife Refuge, Point Reyes National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.88491001760781,\n 69.93310481002823\n ],\n [\n -122.88491001760781,\n 69.68543873810822\n ],\n [\n -121.06916016659827,\n 69.68543873810822\n ],\n [\n -121.06916016659827,\n 69.93310481002823\n ],\n [\n -122.88491001760781,\n 69.93310481002823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.06822524183795,\n 38.19543174003894\n ],\n [\n -123.06822524183795,\n 37.94644042903653\n ],\n [\n -122.82070079378443,\n 37.94644042903653\n ],\n [\n -122.82070079378443,\n 38.19543174003894\n ],\n [\n -123.06822524183795,\n 38.19543174003894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.12177060555926,\n 29.253016615269246\n ],\n [\n -83.12177060555926,\n 29.097809660027494\n ],\n [\n -82.87307439858863,\n 29.097809660027494\n ],\n [\n -82.87307439858863,\n 29.253016615269246\n ],\n [\n -83.12177060555926,\n 29.253016615269246\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.63188940850279,\n 23.47404410351922\n ],\n [\n -110.63188940850279,\n 22.779293589597287\n ],\n [\n -109.21025823793005,\n 22.779293589597287\n ],\n [\n -109.21025823793005,\n 23.47404410351922\n ],\n [\n -110.63188940850279,\n 23.47404410351922\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"plainLanguageSummary":"Producing both detailed and widely available information on how the coast may change in the future is critical for informing proactive strategies that protect communities and places of value. Predicting which areas are likely to become inundated in the future is often a first step; however, understanding other possible changes and where those changes are likely is much more difficult. For example, sea-level rise, storms, and other coastal hazards fundamentally reshape coastal landforms and habitats, such as through the formation of new inlets along beaches or permanent flooding of wetlands. This paper reviews the scientific knowledge, methods, and products currently available to inform what, where, and when future changes might happen, as well as how this information can be developed in coordination with those who need this information to ensure it is useful and meaningful. We also identify challenges that exist in accurately predicting coastal change, opportunities for improvements, and remaining information and data gaps. We conclude by discussing strategies for scientists and intended users to work together across disciplines in a manner that informs research questions and intended products to provide actionable information.
","publicationDate":"2026-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Passeri, Davina L. 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeigler, Sara L. 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human-impacted watershed","docAbstract":"Rivers continually integrate terrestrial organic matter (OM) into their waters, in a process that transfers 1.9 Pg C yr–1 as the primary linkage between oceanic and terrestrial carbon cycles. Yet rivers are not simple, conservative OM integrators. Patchy local land uses (wetlands, bogs, agriculture) release OM that can disproportionately alter river biogeochemistry and overprint upstream carbon. These releases are quantifiable at the plot scale but remain unpredictable across river reaches and watersheds, critically inhibiting our ability to scale up terrestrial-aquatic linkages to regional/global carbon cycling models. We evaluated OM overprinting distance along a human-influenced watershed to quantify river integration of terrestrial OM and to bridge the quantification gap between habitats and waterway biogeochemistry. We investigated changes in dissolved organic carbon (DOC) concentration and dissolved organic matter (DOM) composition (lignin phenols, fluorescence excitation-emission spectra using parallel factor analysis [PARAFAC], and the relative fraction of optically active DOM [EEMDOC]). DOC concentrations increased continually (p < 0.001) downstream, from median 1.0 mg L–1 at 30 km (headwaters) to 3.3 mg L–1 at the river mouth. This rate of increase corresponded to a DOC overprinting distance—the longitudinal distance over which DOC concentrations double—of 13 km. Mainstem DOC overprinting distance ranged from 8 km (winter, rainy season) to 21 km (summer, dry season with irrigation), highlighting stronger overprinting during increased hydraulic connectivity. Stronger overprinting also correlated to higher EEMDOC (p < 0.001). Overprinting distance effectively quantifies river integration of DOM along the terrestrial-aquatic interface, helping to refine bottom-up carbon cycle estimates, inform upscaling of site-specific fluxes, and to track land use and climate influence on river biogeochemistry.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.00067","usgsCitation":"Eckard, R.S., Bergamaschi, B.A., Pellerin, B., Spencer, R.G., Dyda, R.Y., and Hernes, P.J., 2026, Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed: Frontiers in Earth Science, v. 8, 67, 15 p., https://doi.org/10.3389/feart.2020.00067.","productDescription":"67, 15 p.","ipdsId":"IP-099509","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":503792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00067","text":"Publisher Index Page"},{"id":503682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.17140579668515,\n 38.80544920025048\n ],\n [\n -121.67942979897973,\n 38.80544920025048\n ],\n [\n -121.67942979897973,\n 38.48406361726251\n ],\n [\n -122.17140579668515,\n 38.48406361726251\n ],\n [\n -122.17140579668515,\n 38.80544920025048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckard, Robert S.","contributorId":330177,"corporation":false,"usgs":false,"family":"Eckard","given":"Robert","middleInitial":"S.","affiliations":[{"id":78839,"text":"1Department of Land, Air, and Water Resources, University of California, One Shields Ave., Davis, CA, 95616","active":true,"usgs":false}],"preferred":false,"id":960672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":960674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Robert G.","contributorId":370675,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","middleInitial":"G.","affiliations":[{"id":88063,"text":"Florida State Univ.","active":true,"usgs":false}],"preferred":false,"id":960675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dyda, Rachel Y.","contributorId":139732,"corporation":false,"usgs":false,"family":"Dyda","given":"Rachel","email":"","middleInitial":"Y.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":960676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":960677,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275374,"text":"70275374 - 2026 - Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act","interactions":[],"lastModifiedDate":"2026-05-01T14:32:54.210945","indexId":"70275374","displayToPublicDate":"2026-03-30T09:29:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1564,"text":"Environmental Science and Pollution Research","active":true,"publicationSubtype":{"id":10}},"title":"Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act","docAbstract":"Since establishment of the Clean Air Act in the early 1970s, occurrence of the dense ‘Tule Fog’, historically prevalent throughout winter across California’s Central Valley, has substantially reduced. At the same time, waterfowl body masses have generally increased. Flight is metabolically expensive, and fog visually and navigationally impairs birds in flight, likely causing them to remain aloft for longer than usual periods. If less fog results in less flight and reduced energy expenditure, then fewer winter Tule fog events could contribute to increased body masses of California waterfowl since the mid-1980’s. Therefore, we aimed to assess the relationship between waterfowl flight and fog occurrence/density with historic (1991–93) and modern (2015–23) waterfowl tracking data in the Central Valley of California (CCV). Historic tracking data showed that the probability of flight increased with increasing fog density. Birds were significantly more likely to fly in fog than when there was no fog and most likely to fly in heavy fog. Modern data showed similar responses to fog with flight occurring significantly more during dawn fog events. This relationship between improved waterfowl body mass and fewer fog events may provide an opportunity to redirect scarce funding to focus on other population requirements such as improving habitats for nesting, molting and brood rearing that are currently lacking. Unanticipated benefits of the Clean Air Act should stand as a strong recommendation to maintaining this Act into the future.
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Patrick","contributorId":370783,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.","middleInitial":"Patrick","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":960767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackell, Desmond A.","contributorId":370784,"corporation":false,"usgs":false,"family":"Mackell","given":"Desmond","middleInitial":"A.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":960768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":960770,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Casazza, Michael L. 0000-0002-5636-735X","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":370785,"corporation":false,"usgs":false,"family":"Casazza","given":"Michael","middleInitial":"L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":960771,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275066,"text":"70275066 - 2026 - Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models","interactions":[],"lastModifiedDate":"2026-04-14T15:00:38.690057","indexId":"70275066","displayToPublicDate":"2026-03-28T07:51:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models","docAbstract":"Sediment outflow from streams to coastal regions can adversely affect water quality and the health of ecosystems including Puerto Rico's southwestern carbonate platform with shallow marine communities. Knowledge of sediment provenance and erosional areas would aid effective restoration to reduce excessive sedimentation. Strontium (Sr) isotopic ratios (87Sr/86Sr) can be used to differentiate between sediment eroded into streams from different lithologies, or rock types, and used in mixing models to estimate proportions of source materials in downstream mixtures. The goal of this study was to use Sr isotopes to differentiate between river sediments in drainages with distinct geologies and present a case study where Sr isotope mixing models are used to identify sediment sourcing to Río Loco and Bahía de Guánica, a priority watershed of the U.S. Coral Reefs Task Force. For the Río Loco watershed, model results indicate that serpentinites in the uplands contributed approximately 71 % of sediment to Bahía de Guánica. About 21 % of sediment was from trachy-andesitic basalts in the foothills, and the remaining 8 % originated from sources on the coastal plain. Neither the uppermost headwater region of Río Loco, the Canal Principal De Riego Valle De Lajas, nor the tributary Quebrada Susúa appeared to be significant sources of sediment to Río Loco's mainstem or Bahía de Guánica at the time of the study. Our results demonstrate that sediment from the serpentinite-bearing areas of Río Loco watershed was effectively transported to the lowlands, which then discharge into Guánica Bay, and highlight the potential use of Sr isotopes as tracers of sediment provenance. This will, in turn, enable better science-based restoration efforts aimed at reducing terrestrial sediment erosion and impacts to marine ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2025.106591","usgsCitation":"Reyes, A.O., Takesue, R.K., and Storlazzi, C.D., 2026, Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models: Applied Geochemistry, v. 203, 106591, 14 p., https://doi.org/10.1016/j.apgeochem.2025.106591.","productDescription":"106591, 14 p.","ipdsId":"IP-153461","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2025.106591","text":"Publisher Index Page"},{"id":502778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"southwest Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.0750417291512,\n 18.053791883414306\n ],\n [\n -67.0750417291512,\n 17.914150551211762\n ],\n [\n -66.89154889897623,\n 17.914150551211762\n ],\n [\n -66.89154889897623,\n 18.053791883414306\n ],\n [\n -67.0750417291512,\n 18.053791883414306\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reyes, Aaron O.","contributorId":369902,"corporation":false,"usgs":false,"family":"Reyes","given":"Aaron","middleInitial":"O.","affiliations":[{"id":52630,"text":"Westfield State University","active":true,"usgs":false}],"preferred":false,"id":959348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":214915,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275369,"text":"70275369 - 2026 - The state of the giant sequoias: Losses, risks, and opportunities","interactions":[],"lastModifiedDate":"2026-05-01T14:28:12.366691","indexId":"70275369","displayToPublicDate":"2026-03-27T09:11:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The state of the giant sequoias: Losses, risks, and opportunities","docAbstract":"Giant sequoias, an iconic tree found only in a narrow band along the western slope of the Sierra Nevada of California, are facing unprecedented threats. Despite being adapted to fire and resistant to both drought and insect attack, the species has exhibited signs of vulnerability to these stressors in recent years, with the most substantial impacts coming from wildfire. Recently, several unprecedentedly large and severe fires have resulted in the deaths of many large trees and, in some cases, limited postfire regeneration. These impacts have led to heightened efforts by managers to implement treatments to protect those places that are still vulnerable. Here, we provide a comprehensive, range-wide assessment of the condition of the species, including an evaluation of the trends in wildfire and its effects on large giant sequoia mortality and the potential for local extirpation, treatment patterns, and vulnerability to future fire.
From 2015 to 2024, 82% of giant sequoia grove area burned in wildfire, compared to 24% between 1910 and 2014. We conservatively estimate that 17.6% of all large giant sequoias have been killed by wildfire since 1984, with most dying in 2020 and 2021. Due to very severe wildfire, roughly 13% of the range is at some risk of local extirpation due to the loss of mature trees and limited predicted regeneration. Treatment activity has increased since 1995, with treatment type and amount varying by jurisdiction. The combination of treatment and wildfire has created a mosaic of resistance to severe fire, with 26% of grove area at high resistance, 38% at moderate resistance, 2% at low resistance, and 16% having no resistance. The remaining 18% are areas where mature giant sequoia forest was lost due to high severity fire.
Giant sequoias have experienced substantial losses due to recent wildfire, with large areas at risk of grove loss. However, most burned area had lower severity effects, creating opportunities to leverage wildfire as a treatment. When combined with areas of active management, these opportunities can promote giant sequoia conservation in a time of rapid change.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-026-00469-5","usgsCitation":"Shive, K.L., Baker, B., Soderberg, D.N., Hardlund, L.J., Meyer, M.D., Nagelson, P.B., Bisbing, S.M., Das, A., and Stephenson, N.L., 2026, The state of the giant sequoias: Losses, risks, and opportunities: Fire Ecology, v. 22, 30, 24 p., https://doi.org/10.1186/s42408-026-00469-5.","productDescription":"30, 24 p.","ipdsId":"IP-182729","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00469-5","text":"Publisher Index Page"},{"id":503883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1683922,\n 38.9170529\n ],\n [\n -120.2414481,\n 39.6521398\n ],\n [\n -121.3616389,\n 39.4831894\n ],\n [\n -119.9979283,\n 37.2108073\n ],\n [\n -119.1438675,\n 35.9222157\n ],\n [\n -118.0519469,\n 35.2339586\n ],\n [\n -116.8235362,\n 35.4899696\n ],\n [\n -117.3012515,\n 36.4180409\n ],\n [\n -118.215735,\n 37.3242998\n ],\n [\n -119.1212573,\n 38.1168177\n ],\n [\n -120.1683922,\n 38.9170529\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shive, Kristen L.","contributorId":370774,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen","middleInitial":"L.","affiliations":[{"id":88071,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":960749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Brianna","contributorId":352616,"corporation":false,"usgs":false,"family":"Baker","given":"Brianna","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":960750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardlund, Linnea J.","contributorId":370775,"corporation":false,"usgs":false,"family":"Hardlund","given":"Linnea","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":960752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Marc D.","contributorId":370776,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","middleInitial":"D.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":960753,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagelson, P. Bryant","contributorId":370777,"corporation":false,"usgs":false,"family":"Nagelson","given":"P.","middleInitial":"Bryant","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bisbing, Sarah M.","contributorId":370778,"corporation":false,"usgs":false,"family":"Bisbing","given":"Sarah","middleInitial":"M.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960755,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960756,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960757,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275291,"text":"70275291 - 2026 - Seasonal environmental conditions and river morphology shape summer phytoplankton communities","interactions":[],"lastModifiedDate":"2026-04-28T16:08:45.515912","indexId":"70275291","displayToPublicDate":"2026-03-27T08:05:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal environmental conditions and river morphology shape summer phytoplankton communities","docAbstract":"1. Phytoplankton form the base of large river food webs but there are limited studies on the nature and drivers of communities over longer time scales. Further, climate change is projected to favor taxa associated with harmful algal blooms, but our knowledge of the timing, locations, and drivers of cyanobacteria in rivers lags that of lakes and marine environments.
2. We used a summer phytoplankton community dataset collected from 2010-2020 across main channel, side channel and backwater areas in the La Grange reach of the Illinois River to assess: 1) How much do summer phytoplankton communities across diverse aquatic areas within a large river vary from year to year?, 2) What environmental conditions are associated with that variation?, and 3) Do cyanobacteria respond differently than the full phytoplankton community?
3. We found greater differences in phytoplankton communities across years than among aquatic areas. Further, we showed that annual variation in phytoplankton communities was synchronous among taxa in the same aquatic area, rather than specific to each taxonomic group or taxa-area combination. After accounting for this spatial variation in annual dynamics, phytoplankton reflected river conditions across seasons, responding positively to summer total phosphorus and invasive carp abundance and negatively to winter discharge and spring silica to nitrogen ratio. Annual variation in cyanobacteria was similarly distinct among main channel, side channel and backwater areas but was best explained by the ratio of summer air temperature to discharge, representing conditions that favored growth over transport.
4. These results show that annual variation in summer phytoplankton and cyanobacterial communities both reflected the spatial diversity of the river landscape and responded to conditions that occurred at different spatial and temporal scales. Further, in this highly modified river basin, we showed that a mix of anthropogenic pressures including eutrophication, invasive species, and potential changes to winter and spring conditions affected the phytoplankton communities present in the summer. Thus, when evaluating long-term change and the potential for harmful algal blooms in rivers it is important to consider spatial diversity of phytoplankton communities, how their sensitivity to environmental change may vary across the river landscape, and the suite of human modifications acting on those communities.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70195","usgsCitation":"Jankowski, K.J., Larson, J.H., and Manier, J.T., 2026, Seasonal environmental conditions and river morphology shape summer phytoplankton communities: Freshwater Biology, v. 71, no. 4, e70195, 20 p., https://doi.org/10.1111/fwb.70195.","productDescription":"e70195, 20 p.","ipdsId":"IP-175053","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":503773,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.70195","text":"Publisher Index Page"},{"id":503593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.58518106565782,\n 39.93537513607859\n ],\n [\n -90.54393271346706,\n 39.87009717384808\n ],\n [\n -89.99004304364246,\n 40.285261805467\n ],\n [\n -89.80813473192549,\n 40.49787976952105\n ],\n [\n -89.6972594677261,\n 40.5232993810744\n ],\n [\n -89.61378517926603,\n 40.588699439676645\n ],\n [\n -89.67476866924434,\n 40.62615848345776\n ],\n [\n -89.94349848180836,\n 40.52558182165162\n ],\n [\n -90.22205602968836,\n 40.26158933292001\n ],\n [\n -90.58518106565782,\n 39.93537513607859\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manier, John T. 0000-0002-8334-8226","orcid":"https://orcid.org/0000-0002-8334-8226","contributorId":335483,"corporation":false,"usgs":true,"family":"Manier","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960356,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275547,"text":"70275547 - 2026 - Relative activity of three bat species Impacted by white-nose syndrome on the Chesapeake and Ohio Canal National Historical Park","interactions":[],"lastModifiedDate":"2026-05-05T13:41:35.346712","indexId":"70275547","displayToPublicDate":"2026-03-26T09:02:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Relative activity of three bat species Impacted by white-nose syndrome on the Chesapeake and Ohio Canal National Historical Park","docAbstract":"White-nose syndrome, a disease caused by the fungal-pathogen Pseudogymnoascus destructans, has caused drastic reductions in populations of several North American hibernating species of bats including Myotis lucifugus (Little Brown Bat), Myotis septentrionalis (Northern Long-eared Bat), and Perimyotis subflavus (Tricolored Bat). Recent data indicate that populations of Little Brown Bats may be stabilizing and/or increasing in the northeastern region of the US, while others, such as Northern Long-eared Bats, continue to decline. Whether these trends extend to the mid-Atlantic region is currently unknown. To better understand population changes over time, habitat associations, and species dynamics, we developed models of relative activity from bat acoustic data collected on the National Park Service's Chesapeake and Ohio Canal National Historical Park along the Potomac River Corridor in western Maryland between 2016 and 2022. Consistent with pre-disease habitat associations, Little Brown Bats and Tricolored Bats exhibited a positive correlation with proximity to water bodies. Notably, we found Little Brown Bat and Tricolored Bat populations potentially were increasing, whereas Northern Long-eared Bats showed no correlation with examined habitat covariates and had low detection levels, trends consistent with broader declines throughout their range.
","language":"English","publisher":"BioOne","doi":"10.1656/045.033.0110","usgsCitation":"Moran, M.L., Litterer, A.S., De La Cruz, J.L., Deeley, S., and Ford, W., 2026, Relative activity of three bat species Impacted by white-nose syndrome on the Chesapeake and Ohio Canal National Historical Park: Northeastern Naturalist, v. 33, no. 1, p. 104-127, https://doi.org/10.1656/045.033.0110.","productDescription":"24 p.","startPage":"104","endPage":"127","ipdsId":"IP-176893","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":503946,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake and Ohio Canal National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.83958240457122,\n 39.497656689410064\n ],\n [\n -77.83958240457122,\n 39.437192609498794\n ],\n [\n -77.7718594829591,\n 39.437192609498794\n ],\n [\n -77.7718594829591,\n 39.497656689410064\n ],\n [\n -77.83958240457122,\n 39.497656689410064\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moran, Megan L.","contributorId":370994,"corporation":false,"usgs":false,"family":"Moran","given":"Megan","middleInitial":"L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":960855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litterer, Amber S.","contributorId":370995,"corporation":false,"usgs":false,"family":"Litterer","given":"Amber","middleInitial":"S.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":960856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De La Cruz, Jesse L.","contributorId":370996,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":960857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deeley, Sabrina M.","contributorId":348402,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina M.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":960970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. 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The systematic, long-term archive and open-access policy means that volcano observatories and research organisations have invested in integrating Sentinel-1 datasets into their monitoring systems. We identify 233 high priority volcanoes and estimate that Sentinel-1 data has been used in peer-reviewed publications for 90 of them. We examine a global archive of 3.3 million automatically processed Sentinel-1 interferograms of volcanoes and use machine learning methods to identify eruptions and periods of unrest. We then review the ways in which InSAR data are being used in different contexts. At frequently erupting basaltic systems in Iceland, Hawaiʻi, the Galápagos , and Piton de la Fournaise, InSAR has become an effective monitoring tool and is integrated with other datasets and models to forecast magma pathways. For large explosive eruptions, deformation measurements often remain challenging, but SAR backscatter is increasingly used to map damaging flows and measure the changing shape of ocean islands. Sentinel-1's long archive provides critical baseline measurements that are vital for measuring slow deformation, capturing new periods of unrest and providing fresh insights into subsurface dynamics. Understanding the drivers of deformation remains challenging and typically relies on integration with external datasets. Future European Space Agency missions have the potential to improve both resolution and coverage providing an even richer dataset to further enhance global volcano monitoring","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115377","usgsCitation":"Biggs, J., Anantrasirichai, N., Anderson, K.R., Cayol, V., Dualeh, E.W., Dumont, Q., Ebmeier, S.K., Froger, J.L., Gaddes, M., Galleto, F., Gonzales, P.J., Hamling, I., Hooper, A., Lazecky, M., Lizama, C.N., and Pritchard, M.E., 2026, Advances in volcano monitoring driven by the first decade of Sentinel-1 observations: Remote Sensing of Environment, v. 339, 115377, 23 p., https://doi.org/10.1016/j.rse.2026.115377.","productDescription":"115377, 23 p.","ipdsId":"IP-177252","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115377","text":"Publisher Index 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Bristol","active":true,"usgs":false}],"preferred":false,"id":957968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anantrasirichai, Nantheera","contributorId":368838,"corporation":false,"usgs":false,"family":"Anantrasirichai","given":"Nantheera","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":957969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayol, 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of Leeds","active":true,"usgs":false}],"preferred":false,"id":957974,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Froger, Jean Luc","contributorId":368842,"corporation":false,"usgs":false,"family":"Froger","given":"Jean","middleInitial":"Luc","affiliations":[{"id":87655,"text":"Universite Jean Monnet","active":true,"usgs":false}],"preferred":false,"id":957975,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gaddes, Matthew","contributorId":368844,"corporation":false,"usgs":false,"family":"Gaddes","given":"Matthew","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":957976,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Galleto, Federico","contributorId":368845,"corporation":false,"usgs":false,"family":"Galleto","given":"Federico","affiliations":[{"id":12722,"text":"Cornell 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Leeds","active":true,"usgs":false}],"preferred":false,"id":957980,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lazecky, Milan","contributorId":368847,"corporation":false,"usgs":false,"family":"Lazecky","given":"Milan","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":957981,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lizama, Camila Novoa","contributorId":368848,"corporation":false,"usgs":false,"family":"Lizama","given":"Camila","middleInitial":"Novoa","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":957982,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pritchard, Matthew E.","contributorId":368849,"corporation":false,"usgs":false,"family":"Pritchard","given":"Matthew","middleInitial":"E.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":957983,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70275551,"text":"70275551 - 2026 - Seasonal and annual survival of acoustically tagged juvenile Gulf sturgeon in the Apalachicola River, Florida, USA","interactions":[],"lastModifiedDate":"2026-05-05T13:40:03.583544","indexId":"70275551","displayToPublicDate":"2026-03-26T08:10:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and annual survival of acoustically tagged juvenile Gulf sturgeon in the Apalachicola River, Florida, USA","docAbstract":"Gulf sturgeon Acipenser desotoi are anadromous fish that have undergone major population declines throughout their range. Habitat alteration and previous overharvest in commercial fisheries led to the species being listed as ‘threatened’ under the US Endangered Species Act in 1991. An accurate understanding of population dynamics, including survival, is necessary for monitoring population trends and recovery. Juvenile Gulf sturgeon are migratory within their natal river system; their survival is not well-studied, but their over-winter occupation of more saline habitat has been identified as a potential bottleneck to juvenile survival. Therefore, we estimated over-winter and annual survival of juvenile Gulf sturgeon in the Apalachicola River system (Florida, USA) using Cormack-Jolly-Seber models informed by acoustic telemetry data from 2014-2023. Seasonal apparent survival estimates ranged from 0.96 in the fall to 0.99 in the spring. Contrary to our expectation, results indicated that survival was high across all seasons with no notable difference in over-winter survival compared to other periods. We also estimated apparent annual survival to be 0.76 for juvenile Gulf sturgeon in the system. These findings suggest that over-winter juvenile mortality is not a major bottleneck to Gulf sturgeon population recovery within the Apalachicola River.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01484","usgsCitation":"Wilson, R.T., Kaeser, A.J., Parker, S.W., Irwin, B., Hamel, M.J., and Fox, A.G., 2026, Seasonal and annual survival of acoustically tagged juvenile Gulf sturgeon in the Apalachicola River, Florida, USA: Endangered Species Research, v. 59, esr01484, 11 p., https://doi.org/10.3354/esr01484.","productDescription":"esr01484, 11 p.","ipdsId":"IP-178925","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":504190,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01484","text":"Publisher Index Page"},{"id":503934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.95028791680792,\n 30.700043969782456\n ],\n [\n -85.19392286381988,\n 30.177386904722987\n ],\n [\n -85.05427019537464,\n 29.68305846607859\n ],\n [\n -84.92950348298919,\n 29.693384215929285\n ],\n [\n -84.9740776762731,\n 29.905841704625477\n ],\n [\n -85.06025275203419,\n 30.11829919332167\n ],\n [\n -84.83441837459203,\n 30.69233750410389\n ],\n [\n -84.95028791680792,\n 30.700043969782456\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","noUsgsAuthors":false,"publicationDate":"2026-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Russell T.","contributorId":371003,"corporation":false,"usgs":false,"family":"Wilson","given":"Russell","middleInitial":"T.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaeser, Adam J.","contributorId":371004,"corporation":false,"usgs":false,"family":"Kaeser","given":"Adam","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":960863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Stephen W.","contributorId":371005,"corporation":false,"usgs":false,"family":"Parker","given":"Stephen","middleInitial":"W.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":960865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamel, Martin J.","contributorId":371006,"corporation":false,"usgs":false,"family":"Hamel","given":"Martin","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, Adam G.","contributorId":371008,"corporation":false,"usgs":false,"family":"Fox","given":"Adam","middleInitial":"G.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960867,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276274,"text":"70276274 - 2026 - The Python Energy Balance model for Snow and Ice (PEBSI): Application and tradeoff analysis on Gulkana Glacier, Alaska","interactions":[],"lastModifiedDate":"2026-05-22T14:56:20.652253","indexId":"70276274","displayToPublicDate":"2026-03-25T09:44:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"The Python Energy Balance model for Snow and Ice (PEBSI): Application and tradeoff analysis on Gulkana Glacier, Alaska","docAbstract":"Glacier energy-balance models offer mechanistic insights into glacier mass balance under a changing climate, yet their considerable data requirements hinder large-scale applications. Here we present the open-source Python Energy Balance model for Snow and Ice (PEBSI), which includes physically based albedo evolution using the Snow, Ice and Aerosol Radiative (SNICAR) model. PEBSI is calibrated and validated using robust in situ data from Gulkana Glacier, Alaska from 2000 to 2024. Simulations forced with original and bias-corrected climate reanalysis data show that statistically downscaling reanalysis data with in situ observations is necessary to reproduce summer mass balance (mean absolute error [MAE] = 0.75 m w.e. vs 0.22 m w.e., respectively). A grid search across two parameters, a precipitation factor and a densification parameter, reveals tradeoffs in performance compared to seasonal mass balance and end-of-winter snow density and depth. No single combination of parameters minimizes all errors, underscoring the inherent overparameterization of energy-balance models and challenges with translating coarse climate data to the glacier scale. The calibrated model successfully simulates the 2024 melt season, agreeing with surface-height change (MAE = 0.48 m) and albedo (MAE = 0.066) observations. Moving forward, PEBSI provides unique opportunities to quantify albedo feedbacks and their impact on present and future glacier mass loss.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2026.10154","usgsCitation":"Wilson, C.V., Rounce, D.R., Sass, L., Wells, A., Baker, E.H., Flanner, M., and Skiles, S.M., 2026, The Python Energy Balance model for Snow and Ice (PEBSI): Application and tradeoff analysis on Gulkana Glacier, Alaska: Journal of Glaciology, v. 72, e47, 14 p., https://doi.org/10.1017/jog.2026.10154.","productDescription":"e47, 14 p.","ipdsId":"IP-182327","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":504805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2026.10154","text":"Publisher Index Page"},{"id":504684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulkana Glacier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.51627002350358,\n 63.31727093330744\n ],\n [\n -145.27750187125,\n 63.31727093330744\n ],\n [\n -145.27750187125,\n 63.218631630380344\n ],\n [\n -145.51627002350358,\n 63.218631630380344\n ],\n [\n -145.51627002350358,\n 63.31727093330744\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Claire V. 0009-0008-6281-3441","orcid":"https://orcid.org/0009-0008-6281-3441","contributorId":371499,"corporation":false,"usgs":false,"family":"Wilson","given":"Claire","middleInitial":"V.","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":961917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounce, David R. 0000-0002-4481-4191","orcid":"https://orcid.org/0000-0002-4481-4191","contributorId":371500,"corporation":false,"usgs":false,"family":"Rounce","given":"David","middleInitial":"R.","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":961918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Louis 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":221141,"corporation":false,"usgs":true,"family":"Sass","given":"Louis","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Albin","contributorId":346929,"corporation":false,"usgs":false,"family":"Wells","given":"Albin","email":"","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":961920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Emily H. 0000-0002-0938-3496","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":371501,"corporation":false,"usgs":false,"family":"Baker","given":"Emily","middleInitial":"H.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":961921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flanner, Mark 0000-0003-4012-174X","orcid":"https://orcid.org/0000-0003-4012-174X","contributorId":371502,"corporation":false,"usgs":false,"family":"Flanner","given":"Mark","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":961922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skiles, S. Mackenzie 0000-0002-7726-6355","orcid":"https://orcid.org/0000-0002-7726-6355","contributorId":371503,"corporation":false,"usgs":false,"family":"Skiles","given":"S.","middleInitial":"Mackenzie","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":961923,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275231,"text":"70275231 - 2026 - Thermal and dielectric properties of Juno’s regolith at one millimeter wavelength","interactions":[],"lastModifiedDate":"2026-04-23T14:38:33.328511","indexId":"70275231","displayToPublicDate":"2026-03-25T09:35:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17061,"text":"Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Thermal and dielectric properties of Juno’s regolith at one millimeter wavelength","docAbstract":"We present the modeling results of the thermal lightcurve of asteroid (3) Juno at the wavelength of λ = 1.3 mm measured by the Atacama Large Millimeter-submillimeter Array. A thermophysical model together with a radiative transfer model suggests a thermal inertia of 13 ± 10 [J m−2 K−1 s−0.5], an equivalent emissivity of 0.8 ± 0.1, a loss tangent of 0.4 ± 0.3, and an index of refraction 1.8 ± 0.3. Based on previous laboratory measurements, the modeled index of refraction suggests a regolith porosity of about 45%. However, thermal inertia models using the material parameters of ordinary chondrite indicate a grain size of ∼10 μm and require a high porosity of ∼90% to explain the low thermal inertia. In order to explain such a contradiction, we postulate that some repulsive mechanism might be in effect to reduce the contact of grains and therefore the thermal inertia. The loss tangent of Juno’s regolith corrected for the modeled thermal skin depth is in the order of 0.5, much higher than that of the lunar regolith and indicating an electrical skin depth of L = 0.1–1.4 mm that is within the thermal skin depth. The shape of the rotational lightcurve of Juno in the millimeter wavelengths is dominated by its irregular shape, but rotational variations in the thermal and/or dielectric properties cannot be ruled out. Our results demonstrate that millimeter-wavelength observations of asteroids provide an extra dimension of constraints to the porosity and grain size of asteroid regolith compared to the thermal infrared observations.
","language":"English","publisher":"IOP Science","doi":"10.3847/PSJ/ae468f","usgsCitation":"Li, J., Titus, T.N., Moullet, A., and Hsieh, H.H., 2026, Thermal and dielectric properties of Juno’s regolith at one millimeter wavelength: Planetary Science Journal, v. 7, no. 3, 71, 12 p., https://doi.org/10.3847/PSJ/ae468f.","productDescription":"71, 12 p.","ipdsId":"IP-156204","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":503447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/ae468f","text":"Publisher Index Page"},{"id":503339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"asteroid (3) Juno","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, J-Y","contributorId":370357,"corporation":false,"usgs":false,"family":"Li","given":"J-Y","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":960196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":960197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moullet, Arielle","contributorId":224979,"corporation":false,"usgs":false,"family":"Moullet","given":"Arielle","email":"","affiliations":[{"id":41014,"text":"SOFIA/USRA, Moffett Field, CA","active":true,"usgs":false}],"preferred":false,"id":960198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsieh, Henry H.","contributorId":224980,"corporation":false,"usgs":false,"family":"Hsieh","given":"Henry","email":"","middleInitial":"H.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":960199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276314,"text":"70276314 - 2026 - Status of round goby invasion fronts in New York and Quebec: Implications for Lake Champlain","interactions":[],"lastModifiedDate":"2026-05-28T14:21:32.534574","indexId":"70276314","displayToPublicDate":"2026-03-25T09:17:24","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Status of round goby invasion fronts in New York and Quebec: Implications for Lake Champlain","docAbstract":"Invasive round goby Neogobius melanostomus have advanced eastward through the state of New York and provinces of Ontario and Quebec over the past two decades and are approaching Lake Champlain, one of the largest lakes in North America. This manuscript describes international efforts to monitor round goby populations during 2021–2025 on (a) the southern approach to Lake Champlain via the Hudson River and Champlain Canal, and (b) the northern approach to Lake Champlain via the Saint Lawrence River and Richelieu River. Monitoring utilized environmental DNA (eDNA), backpack electrofishing, beach seining, benthic trawling, and viral hemorrhagic septicemia virus (VHSV) testing. In the Champlain Canal, round goby were captured as far north as the downstream side of the C1 dam (97 kilometers [km] from Lake Champlain) while eDNA detections occurred as far north as the upstream side of the C2 dam (90 km from Lake Champlain). In the Richelieu River, round goby were captured as far south as Saint-Marc-sur-Richelieu (82 km from Lake Champlain) while the southern-most eDNA detections occurred near the Canadian side of the international border (4 km from Lake Champlain). Water temperature influenced habitat usage of round goby in the Champlain Canal, with catch rates in near-shore areas declining at < 10 °C. All VHSV test results were non-detections at the mouth of the Richelieu River, while one positive and two inconclusive results occurred along the Champlain Canal. Together, these data have informed multiple mitigation measures and have implications for management of aquatic invasive species across North America.
","language":"English","publisher":"BioRxiv","doi":"10.64898/2026.03.23.712452","usgsCitation":"George, S.D., Diebboll, H., Pearson, S., Goldsmit, J., Drouin, A., Vachon, N., Côté, G., Daudelin, S., Bartron, M.L., Modley, M., Littrell, K., Getchell, R.G., Fiorentino, R., Sadekoski, T., Finkelstein, J., Darling, M., Parent, G., and Atkins, L., 2026, Status of round goby invasion fronts in New York and Quebec: Implications for Lake Champlain: BioRxiv, preprint posted March 25, 2026, https://doi.org/10.64898/2026.03.23.712452.","productDescription":"26 p.","ipdsId":"IP-187768","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":504816,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.64898/2026.03.23.712452","text":"External 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Rob","contributorId":371585,"corporation":false,"usgs":false,"family":"Fiorentino","given":"Rob","affiliations":[{"id":88184,"text":"New York State Department of Environmental Conservation, Bureau of Fisheries, Region 5","active":true,"usgs":false}],"preferred":false,"id":962072,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sadekoski, Thomas R. 0009-0006-0450-6385","orcid":"https://orcid.org/0009-0006-0450-6385","contributorId":349875,"corporation":false,"usgs":true,"family":"Sadekoski","given":"Thomas R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962073,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962074,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Darling, Michael J. 0009-0008-5733-3005","orcid":"https://orcid.org/0009-0008-5733-3005","contributorId":332525,"corporation":false,"usgs":true,"family":"Darling","given":"Michael J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962075,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Parent, Geneviève","contributorId":371587,"corporation":false,"usgs":false,"family":"Parent","given":"Geneviève","affiliations":[{"id":88187,"text":"Fisheries and Oceans Canada, Maurice Lamontagne Institute","active":true,"usgs":false}],"preferred":false,"id":962076,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Atkins, Lauren M.","contributorId":291382,"corporation":false,"usgs":false,"family":"Atkins","given":"Lauren M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962077,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70275539,"text":"70275539 - 2026 - Leveraging local species data, a global database, and an occupancy model to explore bee–plant interactions","interactions":[],"lastModifiedDate":"2026-05-04T17:06:17.889447","indexId":"70275539","displayToPublicDate":"2026-03-24T09:58:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging local species data, a global database, and an occupancy model to explore bee–plant interactions","docAbstract":"Global declines in bee populations are threatening the ecosystem services they provide, including pollination. Many bee–plant interactions are understudied, producing an incomplete understanding of resulting ecosystem-level vulnerabilities. The last decade has generated a wealth of opportunistic data originating from natural history collection records, published ecological datasets, and citizen/community science initiatives in online databases such as Global Biotic Interactions (GloBI). Here, we explore hypotheses related to bee–plant interactions and detection processes using the GloBI database, curated checklists of bee and flowering plant species, and an occupancy model. We hypothesized that larger, social bees would visit a larger number of plant species, while smaller, solitary bees would visit fewer. We also predicted that flowers with open, bowl-like shapes would attract a greater diversity of bee visitors compared to closed shapes. Further, we hypothesized that both floral and bee traits, such as bright colors and conspicuous patterns, would increase detectability, and that different data collection methods would vary in their ability to capture bee–plant interactions. Lastly, we hypothesized that the interaction network generated by the output of the occupancy model, which accounted for imperfect bee–plant detection, would yield more interactions, thereby increasing measures of evenness and decreasing nestedness and specialization, as compared to the network generated from recorded interaction data. We found that smaller bees exhibited higher probabilities of plant interactions than larger bees, but we did not find evidence that bee sociality influenced the probability of interacting with plants. We found that blue flowers and closed (not-bowl-shaped) flowers had higher probabilities of bee-plant interaction than other flower colors or bowl-shaped flowers, respectively. We also found that larger bee size, blue flowers, bowl shapes, and community science sources were associated with higher detection probabilities of bee–plant interactions. Lastly, the interaction network generated by the occupancy model output showed higher levels of evenness, nestedness, and connectance than the network generated by the GloBI data. Our study is among the first to utilize occupancy modeling to directly model species' interactions, leverage aggregated, open-source databases and expert checklists, and highlight the influence of detection and collection biases on our understanding of ecological interactions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70221","usgsCitation":"Lee, M.J., DiRenzo, G.V., Diao, C., and Seltmann, K.C., 2026, Leveraging local species data, a global database, and an occupancy model to explore bee–plant interactions: Ecological Applications, v. 36, no. 2, e70221, 20 p., https://doi.org/10.1002/eap.70221.","productDescription":"e70221, 20 p.","ipdsId":"IP-150867","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70221","text":"Publisher Index Page"},{"id":503954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.93350233953383,\n 34.08271906479452\n ],\n [\n -119.93350233953383,\n 33.94903535628485\n ],\n [\n -119.51877742715749,\n 33.94903535628485\n ],\n [\n -119.51877742715749,\n 34.08271906479452\n ],\n [\n -119.93350233953383,\n 34.08271906479452\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Michelle J.","contributorId":370972,"corporation":false,"usgs":false,"family":"Lee","given":"Michelle","middleInitial":"J.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":960832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":960833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diao, Chengyi","contributorId":371081,"corporation":false,"usgs":false,"family":"Diao","given":"Chengyi","affiliations":[],"preferred":false,"id":960983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seltmann, Katja C.","contributorId":370974,"corporation":false,"usgs":false,"family":"Seltmann","given":"Katja","middleInitial":"C.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":960835,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274328,"text":"70274328 - 2026 - Rapid seismic and infrasound assessment of large landslides: A case study from Denali National Park and Preserve (Alaska)","interactions":[],"lastModifiedDate":"2026-03-26T20:12:07.266266","indexId":"70274328","displayToPublicDate":"2026-03-23T13:03:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Rapid seismic and infrasound assessment of large landslides: A case study from Denali National Park and Preserve (Alaska)","docAbstract":"Large, rapid landslides are a global hazard that can occur in remote, mountainous areas. Eyewitness reports of landslides and satellite imagery can often be limited or delayed, particularly during inclement weather. However, landslide-generated seismic and infrasound (low-frequency atmospheric sound) waves can be remotely detected in near real-time. This information can significantly expedite characterization and possible landslide response activities. Here, we highlight these capabilities using a > 4 million m³ ice–rock avalanche in Denali National Park and Preserve (Alaska). This event was detected via a landslide-specific seismic location and volume estimation algorithm deployed in Alaska, and — notably — by standard earthquake monitoring systems. Following rapid detection of this event, we combined its seismic and infrasound dataset with optical, synthetic aperture radar, and oblique aerial imagery, multitemporal digital elevation models, and a numerical flow model to reconstruct its failure timeline and dynamics. We apply array processing to infrasound signals traveling > 250 km and find that two precursory events occurred minutes prior to the main failure. We use long-period seismic signals to infer the force exerted by the landslide on the Earth and constrain the rheological parameters of our numerical flow simulation with this result and deposit morphology. The main failure produced a steeply-dipping impulsive initial downward force and reached speeds exceeding 60 m/s. This impulsive force generated relatively strong seismic body waves, which contributed to the earthquake system detection. This large, remote Alaska landslide underscores the key value of seismic and infrasound analysis for rapid landslide assessment and motivates efforts to further operationalize these approaches.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008577","usgsCitation":"Toney, L., West, M., Karasözen, E., Capps, D.M., Collins, E.A., Allstadt, K.E., Pursley, J., McFarlin, H., Mangeney, A., Fee, D., Staley, D.M., Haney, M.M., Lyons, J.J., and Bellini, J., 2026, Rapid seismic and infrasound assessment of large landslides: A case study from Denali National Park and Preserve (Alaska): Journal of Geophysical Research: Earth Surface, v. 131, no. 3, e2025JF008577, 21 p., https://doi.org/10.1029/2025JF008577.","productDescription":"e2025JF008577, 21 p.","ipdsId":"IP-179322","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":502039,"rank":1,"type":{"id":40,"text":"Open 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\"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Michael E.","contributorId":351516,"corporation":false,"usgs":false,"family":"West","given":"Michael E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":957894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karasözen, Ezgi","contributorId":298619,"corporation":false,"usgs":false,"family":"Karasözen","given":"Ezgi","affiliations":[{"id":64627,"text":"Alaska 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Mississippi","interactions":[],"lastModifiedDate":"2026-05-19T15:50:12.562622","indexId":"70275614","displayToPublicDate":"2026-03-23T09:41:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population trends of dabbling ducks wintering in the alluvial valleys of Arkansas and Mississippi","docAbstract":"Population abundances, distributions, and compositions across a diversity of taxa are changing, partly as a consequence of human-induced global modifications. Although linking population fluctuations to anthropogenic-induced alterations can be challenging, it is increasingly clear that long-term monitoring is critical to understanding changing populations. For waterfowl, concerns over recent declines in breeding populations or possible redistribution from using traditional wintering grounds for some species support continued monitoring of regional populations. To further understand population trends on traditional wintering grounds, we examined abundance trends over time within the Mississippi and Arkansas portions of the Mississippi Alluvial Valley, using two sources of data: systematic aerial surveys and citizen science data. We found great annual variability in rates of population change (r ranging from −1.04 to 0.71) in five species of dabbling ducks. Despite this annual variation, green-winged teal Anas carolinensis, mallards Anas platyrhynchos, northern pintail Anas acuta, and northern shoveler Spatula clypeata showed no significant trends in population size over approximately 15 years in Mississippi and Arkansas, but gadwall Mareca strepera showed a 4% annual increase in the citizen science data for Mississippi. Despite substantial variation in annual abundance, the timing of peak abundance was remarkably consistent from year to year, with peaks typically occurring in January. Our results demonstrate that autumn–winter population numbers of dabbling ducks can be quite variable interannually, but they lack a consistent trend in the Mississippi Alluvial Valley during the past two decades. Going forward, investigation into how citizen science data could be leveraged to increase the precision of trends within this landscape might be of benefit, and sampling efforts could perhaps be added towards the latter portion of the wintering period. As populations continue to adjust in a changing world, maintaining monitoring surveys in regions important to waterfowl is an effective and important means of evaluating trends.
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Brian 0000-0002-2598-3192","orcid":"https://orcid.org/0000-0002-2598-3192","contributorId":371127,"corporation":false,"usgs":false,"family":"Davis","given":"J.","middleInitial":"Brian","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":961073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274296,"text":"70274296 - 2026 - Decadal shifts in groundwater age detected by environmental tracers across California, USA","interactions":[],"lastModifiedDate":"2026-03-24T15:57:13.026731","indexId":"70274296","displayToPublicDate":"2026-03-23T08:53:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Decadal shifts in groundwater age detected by environmental tracers across California, USA","docAbstract":"Groundwater age offers important insight into recharge, storage, and contamination risk. Although models predict age changes can be driven by pumping and climate variability, direct observational evidence remains limited. Here, we analyzed paired environmental tracer suites (tritium, carbon-14, and tritiogenic helium-3) collected a decade apart from 268 wells across California to assess the prevalence of groundwater age transience. Travel-time distribution models and statistical tests indicated age transience at 29% of sites, occurring most often in agricultural regions, such as the San Joaquin Valley and Southern Coast Ranges, where large carbon-14 changes coincided with substantial nitrate and chloride shifts. Sites with tritiogenic helium-3 data showed more frequent age transience, underscoring the value of multi-tracer data sets. These results provide the first regional evidence of widespread groundwater age change and a method for detecting changing water balances with implications for groundwater sustainability and water quality.
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