Urban forests and other green infrastructures have been viewed as part of the “Nature-based Solutions” (NbS) to mitigate emerging urban environmental change. This study focuses on the role of evapotranspiration (ET) in regulating water balances of small watersheds in the eastern United States. We compared streamflow and ET patterns at daily, monthly and annual scales and linked these hydrological variables to the physical properties of 11 paired watersheds dominated by forests (FW) or urban (UW) land covers. The annual precipitation ranged from 1028 mm to 1683 mm and potential ET (PET) from 815 mm to 1450 mm. The mean annual flow/precipitation (Q/P) ratios were 0.26 ± 0.13 and 0.41 ± 0.1 for FW and UW, respectively. Overall, UW had lower annual ET (772 mm in UW vs. 947 mm in FW), but higher mean annual and (∼58% higher), monthly water yield (17%–186% higher), and peakflow rates (up to 100 times higher) than FW. The streamflow differences between FW and UW were most pronounced during the growing season and early winter (June-November). The mean Q/P ratios for 30 large hurricane events (2016–2021) were 0.12 ± 0.11 and 0.38 ± 0.23 for FW and UW, respectively. The flow rates in the dormant season (around December-May) in UW were similar or lower than FW. We developed conceptual models to explain the seasonal and storm event streamflow differences using background climate (PET), ET, and land surface characteristics. Urban NbS designs should factor in strategies that maximize ET while minimizing impervious surfaces enhancing watershed “sponge” and “pump” functions.
","language":"English","publisher":"American Geophysical Union (AGU)","doi":"10.1029/2025WR041340","usgsCitation":"Sun, G., Bian, Z., Khand, K., Caldwell, P.V., Boggs, J., Wang, C., Chen, Y., Liu, N., Zhang, Y., Chen, X., Senay, G., and McNulty, S.G., 2026, Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces: Water Resources Research, v. 62, no. 2, e2025WR041340, 20 p., https://doi.org/10.1029/2025WR041340.","productDescription":"e2025WR041340, 20 p.","ipdsId":"IP-185235","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":500255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041340","text":"Publisher Index Page"},{"id":500183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.13910817442056,\n 42.504366194491354\n ],\n [\n -96.89658092237323,\n 42.504366194491354\n ],\n [\n -96.89658092237323,\n 25.74722198798669\n ],\n [\n -68.13910817442056,\n 25.74722198798669\n ],\n [\n -68.13910817442056,\n 42.504366194491354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, G.","contributorId":205528,"corporation":false,"usgs":false,"family":"Sun","given":"G.","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":955905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bian, Z.","contributorId":366435,"corporation":false,"usgs":false,"family":"Bian","given":"Z.","affiliations":[{"id":78585,"text":"Nanjing Normal University","active":true,"usgs":false}],"preferred":false,"id":955906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khand, K.","contributorId":366436,"corporation":false,"usgs":false,"family":"Khand","given":"K.","affiliations":[{"id":87483,"text":"AFDS, contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":955907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, P. 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The goal of USGS EROS aquatic product research and development is to prepare for an operational processing architecture for Landsat Collection 3 in the late 2020s that will enable use of quality-controlled data for emerging Landsat aquatic science applications. To achieve this, we released a subset of the Landsat 8/9 provisional AR products (Crawford et al., 2025, https://doi.org/10.5066/P14MBBRM) and examined its general performance through the Science Algorithms to Operations (SATO) framework alongside quantitative assessment using community made inland water data records (GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments, GLORIA) and radiometric coastal validation platforms (NASA’s Ocean Color component of the Aerosol Robotic Network, AERONET-OC). Variability within the validation datasets indicate that the performance of the Landsat 8/9 provisional AR retrieval is highly context-dependent; errors are minimal in optically simple waters (e.g., clear to moderately turbid coastal waters) but increase considerably in optically complex waters where factors such as elevated levels of turbidity, chlorophyll (Chl a) concentrations, or colored dissolved organic matter (CDOM) dominate the water column. Additionally, this paper examines key algorithmic considerations for atmospheric correction, highlighting factors that influence accuracy, scalability, and computational efficiency necessary for collection processing in the operational Landsat Product Generation System (LPGS). This paper is intended to communicate with aquatic scientists, satellite oceanographers, and the broader Earth observation community on the origins, requirements, challenges, successes, and future objectives for operationalizing global AR data products for Landsat satellite missions.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-2025-317","usgsCitation":"Benjamin Page, Crawford, C., Arab, S., Gail Schmidt, Barnes, C., and Wellington, D., 2026, Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations: Earth System Science Data, v. 18, no. 2, p. 779-800, https://doi.org/10.5194/essd-2025-317.","productDescription":"22 p.","startPage":"779","endPage":"800","ipdsId":"IP-170237","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin Page 0000-0002-9871-2406","orcid":"https://orcid.org/0000-0002-9871-2406","contributorId":359007,"corporation":false,"usgs":false,"family":"Benjamin Page","affiliations":[{"id":85733,"text":"Earth Space Technology Services (ESTS)","active":true,"usgs":false}],"preferred":false,"id":954888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":954889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arab, Saeed 0000-0003-1602-8801","orcid":"https://orcid.org/0000-0003-1602-8801","contributorId":299964,"corporation":false,"usgs":false,"family":"Arab","given":"Saeed","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":954890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gail Schmidt 0000-0002-9684-8158","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":359008,"corporation":false,"usgs":false,"family":"Gail Schmidt","affiliations":[{"id":57411,"text":"KBR, Inc.","active":true,"usgs":false}],"preferred":false,"id":954891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnes, Christopher 0000-0002-4608-4364","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":359949,"corporation":false,"usgs":false,"family":"Barnes","given":"Christopher","affiliations":[{"id":68993,"text":"KBR Inc., Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":954892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954893,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273864,"text":"70273864 - 2026 - Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review","interactions":[],"lastModifiedDate":"2026-02-10T14:52:37.3928","indexId":"70273864","displayToPublicDate":"2026-02-02T07:45:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review","docAbstract":"Fossilized soils, or paleosols, contain soil-formed phyllosilicates whose stable isotopic compositions may be used to calculate paleotemperature and thus reconstruct ancient terrestrial environments. Though paleosols are common in the geologic record, the use of phyllosilicates as paleotemperature proxies is limited in the literature owing to difficulties with selecting optimal paleosols, isolation from non-clay minerals and organic materials, mixtures of phyllosilicates in natural samples, wide variations of chemical compositions for phyllosilicates, and limited to undefined equilibrium fractionation factors between phyllosilicates-water. Here, we address these challenges by examining and comparing methods used for sample selection, mineral isolation, pretreatments, mineral identification, conventional and developing methods for oxygen and hydrogen isotopic analyses, and determination of phyllosilicate-water equilibrium fractionation factors, concluding with recommendations for best approaches for paleotemperature estimation. Additionally, we discuss how to identify and avoid detrital phyllosilicates, the impacts of diagenesis, comparison of stable isotope and non-isotope paleosol paleotemperature proxies, and challenges and opportunities for broadly using paleosols as paleoclimate archives. With ongoing efforts to refine this multi-faceted paleotemperature approach, the stable isotope geochemistry of soil-formed phyllosilicates continues to be an invaluable proxy system, enhancing our understanding of terrestrial paleoenvironments and paleoclimate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2026.105417","usgsCitation":"Andrzejewski, K., McIntosh, J.A., Gulbranson, E.L., and Ibarra, D., 2026, Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review: Earth-Science Reviews, v. 275, 105417, 22 p., https://doi.org/10.1016/j.earscirev.2026.105417.","productDescription":"105417, 22 p.","ipdsId":"IP-176209","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":499939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2026.105417","text":"Publisher Index Page"},{"id":499711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","city":"Russell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.29064471656534,\n 39.275688945589025\n ],\n [\n -99.29064471656534,\n 38.63142013340354\n ],\n [\n -98.38736996174445,\n 38.63142013340354\n ],\n [\n -98.38736996174445,\n 39.275688945589025\n ],\n [\n -99.29064471656534,\n 39.275688945589025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Andrzejewski, Kate","contributorId":366118,"corporation":false,"usgs":false,"family":"Andrzejewski","given":"Kate","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":955315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulbranson, Erik L.","contributorId":366119,"corporation":false,"usgs":false,"family":"Gulbranson","given":"Erik","middleInitial":"L.","affiliations":[{"id":84345,"text":"Gustavus Adolphus College","active":true,"usgs":false}],"preferred":false,"id":955317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibarra, Daniel","contributorId":366121,"corporation":false,"usgs":false,"family":"Ibarra","given":"Daniel","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":955318,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273959,"text":"70273959 - 2026 - Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025","interactions":[],"lastModifiedDate":"2026-02-19T16:03:49.86085","indexId":"70273959","displayToPublicDate":"2026-02-01T09:56:48","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2026/381","title":"Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025","docAbstract":"The U.S. Geological Survey (USGS) and Southern California Coastal Water Research Project supported Channel Islands National Park, The Nature Conservancy’s (TNC) Santa Cruz Island Preserve, and University of California San Diego (UCSD) researchers in using environmental DNA sampling to monitor for invasive Argentine ant (Linepithema humile) and to describe spatial biodiversity patterns in a freshwater stream on Santa Cruz Island that is colloquially known as Cañada del Puerto Creek (hydrologic unit code 12 number 180600140201). An eDNA autosampler was deployed May 27–June 02, 2025, which filtered and preserved four 2-L water samples every 12 hours (n = 48 samples). These samples were extracted by USGS and shipped to UCSD for targeted eDNA analyses of Argentine ant. Environmental DNA sampling kits were used to filter and preserve water samples at four sites along the creek spanning ~ 5 km of stream distance. Six 1-L samples were collected at each site May 27–28 and samples were analyzed for eDNA metabarcoding using a comprehensive panel, which encompasses species across the tree of life. In these samples, eDNA from 2,134 unique taxa spanning 30 taxonomic groups (e.g., amoebas, insects, plants) were found. These sampling efforts demonstrated how eDNA autonomous and manual sampling approaches can be applied by National Park Service, TNC, and partners at scale to provide otherwise difficult and expensive to acquire information about biological threats and biodiversity.
","language":"English","publisher":"National Park Service","doi":"10.36967/2317065","usgsCitation":"Sepulveda, A., and Theroux, S., 2026, Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025: Science Report NPS/SR—2026/381, vii, 8 p., https://doi.org/10.36967/2317065.","productDescription":"vii, 8 p.","ipdsId":"IP-183212","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":500193,"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 -119.9346364010192,\n 34.10158409225852\n ],\n [\n -119.9346364010192,\n 33.95495636433603\n ],\n [\n -119.5117843852133,\n 33.95495636433603\n ],\n [\n -119.5117843852133,\n 34.10158409225852\n ],\n [\n -119.9346364010192,\n 34.10158409225852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theroux, Susanna","contributorId":244544,"corporation":false,"usgs":false,"family":"Theroux","given":"Susanna","affiliations":[],"preferred":false,"id":955925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274533,"text":"70274533 - 2026 - Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study","interactions":[],"lastModifiedDate":"2026-03-31T15:51:17.561696","indexId":"70274533","displayToPublicDate":"2026-01-31T10:47:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study","docAbstract":"Tsunamis are multiscale phenomena resulting from a water column displacement that may be induced by multiple sources, and range from local scale inundation processes to ocean-wide scale wave propagation. Different strategies may be required to model tsunami evolution at different scales and to characterize various intensity measures. Research in tsunami hazard and risk has focused mostly on the tsunami effects such as the wave heights or flow depths. This chapter reviews the evolution of tsunami hazard and risk assessment methodologies, with particular emphasis on the development of probabilistic approaches. Building on advances in numerical modeling and uncertainty analysis, two main frameworks for Probabilistic Tsunami Hazard and Risk Analysis (PTHA/PTRA) are described. Framework 1 (FW1) focuses on quantitative methods, including fully simulation-based assessments (FW1A), integration of hazard with vulnerability and loss models (FW1B), consideration of dynamic processes such as tidal and sea-level variations (FW1C), and approaches using limited scenario sets (FW1D). Framework 2 (FW2) complements this by incorporating indicator-based vulnerability assessments, both physical (FW2A) and social, multi-dimensional (FW2B).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Probabilistic tsunami hazard and risk analysis","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-98115-9_2","usgsCitation":"Zamora, N., Grezio, A., Papathoma-Kohle, M., Jalayer, F., Salmanidou, D., Parsons, T.E., Geist, E.L., Selva, J., Sørensen, M.B., Rafliana, I., 2026, Frameworks for assessing tsunami hazard and risk, chap. 2 of Probabilistic tsunami hazard and risk analysis, v. 14, p. 13-86, https://doi.org/10.1007/978-3-031-98115-9_2.","productDescription":"74 p.","startPage":"13","endPage":"86","ipdsId":"IP-151994","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-98115-9_2","text":"Publisher Index 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Fatemeh","contributorId":366992,"corporation":false,"usgs":false,"family":"Jalayer","given":"Fatemeh","affiliations":[{"id":87521,"text":"Department of Disaster Risk Reduction, University College London","active":true,"usgs":false}],"preferred":false,"id":956539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Salmanidou, Dimitra","contributorId":366993,"corporation":false,"usgs":false,"family":"Salmanidou","given":"Dimitra","affiliations":[{"id":87522,"text":"Advanced Research Computing Centre, University College London","active":true,"usgs":false}],"preferred":false,"id":956540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":956541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":956542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Selva, Jacopo","contributorId":203391,"corporation":false,"usgs":false,"family":"Selva","given":"Jacopo","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":956543,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sørensen, Mathilde B.","contributorId":366995,"corporation":false,"usgs":false,"family":"Sørensen","given":"Mathilde","middleInitial":"B.","affiliations":[{"id":40814,"text":"University of Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":956544,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rafliana, Irina","contributorId":366996,"corporation":false,"usgs":false,"family":"Rafliana","given":"Irina","affiliations":[{"id":87524,"text":"Baden Riset dan Inovasi Nasional (BRIN) Indonesia","active":true,"usgs":false}],"preferred":false,"id":956545,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273826,"text":"70273826 - 2026 - Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise","interactions":[],"lastModifiedDate":"2026-02-05T16:13:45.501272","indexId":"70273826","displayToPublicDate":"2026-01-30T08:43:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise","docAbstract":"Tidal marshes are considered one of the world's most efficient ecosystems for belowground organic carbon sequestration and hence climate mitigation. Marsh systems are however also vulnerable to degradation due to climate-induced sea level rise, whereby marsh vegetation conversion to open water often follows distinct spatial patterns: levees (i.e. marsh zones < 10 m from tidal creeks) show lower vulnerability of vegetation conversion to open water than basins (i.e. interior marsh zones > 30 m from creeks). Here, we use sediment cores to investigate spatial variations in organic carbon accumulation rates (OCAR) in a microtidal system (Blackwater marshes, Maryland, USA): (1) across a gradient of marsh zones with increasing marsh degradation, assessed as increasing ratio of unvegetated versus vegetated marsh area and (2) by comparing levees versus basins. We show that OCAR is up to four times higher on marsh levees than in adjacent basins. The data suggest that this is caused by spatial variation in three processes: sediment accretion rate, vegetation productivity, and sediment compaction, which are all higher on levees. Additionally, OCAR was observed to increase with increasing degree of marsh degradation in response to sea level rise. We hypothesize this may be due to more soil waterlogging in more degraded marsh zones, which may decrease carbon decomposition. Our results highlight that tidal marsh levees, in a microtidal system, are among the fastest soil organic carbon sequestration systems on Earth, and that both levees and basins sustain their carbon accumulation rate along gradients of increasing marsh degradation in response to sea level rise.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-23-851-2026","usgsCitation":"Huyzentruyt, M., Wens, M., Fivash, G.S., Walters, D., Bouillon, S., Carr, J., Guntenspergen, G., Kirwan, M.L., and Temmerman, S., 2026, Carbon sequestration along a gradient of tidal marsh degradation in response to sea level rise: Biogeosciences, v. 23, no. 2, p. 851-865, https://doi.org/10.5194/bg-23-851-2026.","productDescription":"15 p.","startPage":"851","endPage":"865","ipdsId":"IP-179289","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499932,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-23-851-2026","text":"Publisher Index Page"},{"id":499586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes, Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.18285542290785,\n 38.414369990989655\n ],\n [\n -76.18285542290785,\n 38.19133724500452\n ],\n [\n -75.92909587593012,\n 38.19133724500452\n ],\n [\n -75.92909587593012,\n 38.414369990989655\n ],\n [\n -76.18285542290785,\n 38.414369990989655\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Huyzentruyt, Mona","contributorId":365696,"corporation":false,"usgs":false,"family":"Huyzentruyt","given":"Mona","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wens, Maarten","contributorId":365981,"corporation":false,"usgs":false,"family":"Wens","given":"Maarten","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fivash, Gregory S.","contributorId":365982,"corporation":false,"usgs":false,"family":"Fivash","given":"Gregory","middleInitial":"S.","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":955103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":955104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bouillon, Steven","contributorId":332316,"corporation":false,"usgs":false,"family":"Bouillon","given":"Steven","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":955105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carr, Joel 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":220098,"corporation":false,"usgs":true,"family":"Carr","given":"Joel","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":220096,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":955108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":955109,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273778,"text":"sir20265115 - 2026 - Groundwater-level elevations in the bedrock aquifers of the Denver Basin aquifer system, Elbert County, Colorado, 2015–23","interactions":[],"lastModifiedDate":"2026-02-05T20:33:22.417407","indexId":"sir20265115","displayToPublicDate":"2026-01-29T16:30:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5115","displayTitle":"Groundwater-Level Elevations in the Bedrock Aquifers of the Denver Basin Aquifer System, Elbert County, Colorado, 2015–23","title":"Groundwater-level elevations in the bedrock aquifers of the Denver Basin aquifer system, Elbert County, Colorado, 2015–23","docAbstract":"Water users in Elbert County, Colorado, rely on groundwater from bedrock aquifers in the Denver Basin aquifer system (upper Dawson, lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers) for approximately half of their water uses. Withdrawals from the bedrocks aquifers have increased to meet the water use needs of expanding regional population growth and development. The U.S. Geological Survey, in cooperation with the Elbert County Board of County Commissioners, began a study in 2015 to monitor groundwater levels within Elbert County. The primary purpose of this report is to present a summary of groundwater levels measured during the study period (2015–23) and present results from statistical analyses of changes in groundwater-level elevations through time.
Discrete groundwater levels were measured at 36 wells within Elbert County. Seven of those wells contained equipment to make and record continuous groundwater-level measurements at hourly intervals. All aquifers, except the lower Dawson aquifer, had only declining groundwater-level elevations in discrete measurements for wells with statistically significant trends. Of the eight statistically significant trends in the lower Dawson aquifer, two wells indicated increasing groundwater-level elevation from discrete measurements. The groundwater-level elevation trend medians in the upper Dawson, lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers were −0.23, −0.66, −0.64, −0.39, and −0.63 feet per year, respectively, for discrete groundwater-level elevation measurements. Trends in continuous groundwater-level elevations were in agreement with statistically significant trends in discrete groundwater-level elevations for all wells. The groundwater-level elevation trend medians in this study, compared to the overall trends in a 2015−2018 study, both indicated declining groundwater-level elevations except in the upper Dawson aquifer, where the trend direction was opposite, a positive trend from 2015 to 2018 and a negative trend (declining groundwater elevations) from 2015 to 2023. The change in trends within the upper Dawson aquifer may be affected by differences in the study period and the trend analysis applied. Trends during the 2015–23 study period were compared to departures from the median 2015 groundwater-level elevation for each site in each aquifer. In general, the departures from the 2015 median supported trends observed at each site and correlated spatially with greater departures near the western border of Elbert County. Additionally, 30-year precipitation data showing wet and dry periods were overlaid with the departure from the 2015 median to assess groundwater-level patterns in wells in the five aquifers. Departures from the 2015 median groundwater-level elevations appeared greatest during the dry period between 2020 and 2023. Potentiometric-surface maps of the upper and lower Dawson aquifers created from static April 2023 groundwater elevations indicated groundwater-flow direction is generally from the south to the north. Results of this study could be used to guide additional groundwater monitoring in Elbert County and could aid in long-term planning of water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265115","collaboration":"Prepared in cooperation with the Elbert County Board of County Commissioners","usgsCitation":"Palko, K.M., Russell, C.A., and Pieseski, N.J., 2026, Groundwater-level elevations in the bedrock aquifers of the Denver Basin aquifer system, Elbert County, Colorado, 2015–23: U.S. Geological Survey Scientific Investigations Report 2026–5115, 41 p., https://doi.org/10.3133/sir20265115.","productDescription":"Report: vii, 41 p.; Database","onlineOnly":"Y","ipdsId":"IP-162981","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499285,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5115/sir20265115.xml"},{"id":499284,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5115/images"},{"id":499210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5115/coverthb.jpg"},{"id":499211,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5115/sir20265115.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5115"},{"id":499212,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","linkHelpText":"USGS Water Data for the Nation: U.S. Geological Survey National Water Information System database"},{"id":499446,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265115/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5115"},{"id":499601,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119172.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","county":"Elbert County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-103.7126,39.5649],[-103.713,39.4761],[-103.7135,39.3876],[-103.7138,39.3011],[-103.7136,39.2136],[-103.7145,39.1265],[-103.7211,39.1266],[-103.722,39.0401],[-103.7201,38.9503],[-103.7186,38.8655],[-103.8315,38.867],[-103.9414,38.8666],[-104.0549,38.8666],[-104.0544,38.9528],[-104.0538,39.0407],[-104.0521,39.1264],[-104.166,39.1277],[-104.2733,39.1278],[-104.3854,39.1284],[-104.4958,39.1298],[-104.6072,39.1307],[-104.6642,39.1308],[-104.6638,39.2165],[-104.664,39.3026],[-104.663,39.3892],[-104.6626,39.4762],[-104.6627,39.5665],[-104.6054,39.5663],[-104.5374,39.5655],[-104.4927,39.5636],[-104.4891,39.5636],[-104.4742,39.5629],[-104.3841,39.5627],[-104.3763,39.5631],[-104.2695,39.5639],[-104.2647,39.5638],[-104.1602,39.5646],[-104.1543,39.565],[-104.0468,39.5652],[-104.0427,39.5651],[-103.9305,39.5646],[-103.9293,39.5646],[-103.8189,39.5646],[-103.8129,39.5649],[-103.7126,39.5649]]]},\"properties\":{\"name\":\"Elbert\",\"state\":\"CO\"}}]}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
The frequent detection of pharmaceuticals and personal care products (PPCPs) in the environment raises concern for aquatic systems. Carbamazepine (CBZ), an antiepileptic drug, is among the most detected PPCP globally, with concentrations in surface water exceeding those that induce toxicity to aquatic organisms. Non-targeted transcriptomic profiling was conducted in zebrafish (Danio rerio) larvae exposed to 0, 1, 5, 10, or 50 μg/L CBZ from 2 h post fertilization (hpf) through hatching, and then sampled at 48, 72, or 144 hpf. Transcriptomic profiles were annotated and characterized with in silico bioinformatic software to assess top enriched pathways and identify targets of environmentally relevant concentrations of CBZ and anchor molecular effects to higher levels of biological organization. Based on this analysis, CBZ was predicted to impair visual perception and sensory system development. The number of eye saccades, determined with a visually mediated behavioral assay, optokinetic response, was significantly reduced in 144 hpf larvae exposed to concentrations as low as 1 μg/L CBZ. These results indicate that environmentally relevant concentrations of CBZ may target and impact processes involved in visual function in fish.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2026.123862","usgsCitation":"Magnuson, J.T., Puglis, H.J., Leet, J., Moody, A.H., Mariz, C.F., Edwards, T.M., and Pampanin, D.M., 2026, Effects of carbamazepine to visual function in early life stage fish: Environmental Research, v. 294, 123862, 8 p., https://doi.org/10.1016/j.envres.2026.123862.","productDescription":"123862, 8 p.","ipdsId":"IP-177152","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":502103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envres.2026.123862","text":"Publisher Index Page"},{"id":501929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"294","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leet, Jessica K.","contributorId":345949,"corporation":false,"usgs":false,"family":"Leet","given":"Jessica K.","affiliations":[{"id":78382,"text":"formerly Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":958241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moody, Adam H. 0000-0001-6160-7920","orcid":"https://orcid.org/0000-0001-6160-7920","contributorId":302592,"corporation":false,"usgs":true,"family":"Moody","given":"Adam","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mariz, Célio Freire Jr.","contributorId":369002,"corporation":false,"usgs":false,"family":"Mariz","given":"Célio","suffix":"Jr.","middleInitial":"Freire","affiliations":[{"id":87696,"text":"Cidade Universitária, Brazil","active":true,"usgs":false}],"preferred":false,"id":958243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Thea M. 0000-0002-6176-2872","orcid":"https://orcid.org/0000-0002-6176-2872","contributorId":241635,"corporation":false,"usgs":true,"family":"Edwards","given":"Thea","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pampanin, Daniela M.","contributorId":369003,"corporation":false,"usgs":false,"family":"Pampanin","given":"Daniela","middleInitial":"M.","affiliations":[{"id":79410,"text":"University of Stavanger, Norway","active":true,"usgs":false}],"preferred":false,"id":958245,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275707,"text":"70275707 - 2026 - Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics","interactions":[],"lastModifiedDate":"2026-05-13T14:17:01.525783","indexId":"70275707","displayToPublicDate":"2026-01-28T09:12:22","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":"Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics","docAbstract":"Riverine dissolved silicon (DSi) dynamics reflect integrated geologic, hydrologic, climatic, and ecological controls. We compiled annual DSi data for 337 rivers across four continents and trained interpretable machine-learning models to predict concentrations and yields from 28 watershed variables. Both models reproduced testing data (R2 = 0.85 for concentration and 0.96 for yield) and withheld-site validation (R2 = 0.91 and 0.93). Lithology, especially volcanic rock fraction, strongly controlled DSi while subsurface storage, topography, and land cover further shaped DSi dynamics. DSi concentrations and yields exhibited nonlinear responses to basin slope, recession-curve slope, proportion of open-water cover, and nutrient availability. Concentrations showed sharper threshold responses to hydrologic and biotic variables, whereas yields varied more gradually with climate and lithology. These results provide a framework for forecasting DSi under land cover and climate change and for embedding realistic, nonlinear processes in mechanistic models.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL118853","usgsCitation":"Bush, S.A., Johnson, K., Jankowski, K.J., Carey, J.C., Sethna, L.R., Lyon, N., and Sullivan, P.L., 2026, Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics: Geophysical Research Letters, v. 53, no. 2, e2025GL118853, 12 p., https://doi.org/10.1029/2025GL118853.","productDescription":"e2025GL118853, 12 p.","ipdsId":"IP-182450","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118853","text":"Publisher Index Page"},{"id":504299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bush, Sidney A. 0000-0002-8359-7927","orcid":"https://orcid.org/0000-0002-8359-7927","contributorId":265930,"corporation":false,"usgs":false,"family":"Bush","given":"Sidney","email":"","middleInitial":"A.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":961459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Keira 0000-0003-0671-3901","orcid":"https://orcid.org/0000-0003-0671-3901","contributorId":330720,"corporation":false,"usgs":false,"family":"Johnson","given":"Keira","email":"","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":961460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":961461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Joanna C. 0000-0003-2365-9185","orcid":"https://orcid.org/0000-0003-2365-9185","contributorId":363158,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","middleInitial":"C.","affiliations":[{"id":86633,"text":"Babson College","active":true,"usgs":false}],"preferred":false,"id":961462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sethna, Lienne R. 0000-0003-1156-172X","orcid":"https://orcid.org/0000-0003-1156-172X","contributorId":330721,"corporation":false,"usgs":false,"family":"Sethna","given":"Lienne","email":"","middleInitial":"R.","affiliations":[{"id":78987,"text":"St. Croix Watershed Research Station, Marine on St. Croix, Minnesota 55047","active":true,"usgs":false}],"preferred":false,"id":961463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyon, Nicholas 0000-0003-3905-1078","orcid":"https://orcid.org/0000-0003-3905-1078","contributorId":332697,"corporation":false,"usgs":false,"family":"Lyon","given":"Nicholas","email":"","affiliations":[{"id":79584,"text":"1021 Anacapa St, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":961464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Pamela L. 0000-0001-8780-8501","orcid":"https://orcid.org/0000-0001-8780-8501","contributorId":330723,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","email":"","middleInitial":"L.","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":961465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274233,"text":"70274233 - 2026 - Harvest of long-tailed ducks from an important hunting location on Lake Michigan","interactions":[],"lastModifiedDate":"2026-03-17T19:04:12.850311","indexId":"70274233","displayToPublicDate":"2026-01-27T13:56:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Harvest of long-tailed ducks from an important hunting location on Lake Michigan","docAbstract":"Annual waterfowl harvest in North America is estimated through a collaborative and strategic process, with federal harvest surveys the primary method of estimation. Sea duck hunters participating in federal harvest surveys represent a small proportion of the overall waterfowl hunting population, limiting the utility of harvest estimates for sea ducks. The long-tailed duck (Clangula hyemalis) is one such species. To partially address the paucity of long-tailed duck harvest survey information, we conducted in-person hunter surveys from 1 November through 4 December 2016 at a boat launch in Two Rivers, Wisconsin, USA (Lake Michigan), an important area for long-tailed duck harvest within the state. Hunters were present on 15 of 21 survey days, and we surveyed occupants of 62 individual hunting boats on 127 occasions. Long-tailed ducks were the most common (97%) of the 1,431 sea ducks reported harvested by hunters. Hunter harvest of long-tailed ducks averaged 3.8 (95% CI = 3.4, 4.1; range = 0–6) long-tailed ducks/hunter/day. We used count models to evaluate the effects of environmental variables on hunter participation and harvest of long-tailed ducks. Wave height was the most influential predictor variable for hunter participation; an information criterion-based best model (wave height + temperature) indicated that hunter participation decreased by 91.9% (95% CI = 79.3–97.1%) for each 1-m increase in wave height. Long-tailed duck harvest was positively associated with air temperature; the relationship indicated a 9.5% (95% CI = 6.2–12.9%) increase in long-tailed duck harvest with each degree increase in temperature. Our results contribute to the understanding of waterfowl hunter participation, hunter preferences, and harvest on Lake Michigan and can inform managers as they assess regulatory frameworks for sea duck hunting.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70182","usgsCitation":"Fara, L., Beatty, W.S., Gray, B.R., Kenow, K.P., and Eichholz, M.W., 2026, Harvest of long-tailed ducks from an important hunting location on Lake Michigan: Journal of Wildlife Management, v. 90, no. 3, e70182, https://doi.org/10.1002/jwmg.70182.","productDescription":"e70182","ipdsId":"IP-171382","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Two Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.58814421174469,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.16475294219143\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fara, Luke J.","contributorId":194768,"corporation":false,"usgs":false,"family":"Fara","given":"Luke J.","affiliations":[],"preferred":false,"id":957104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eichholz, Michael W.","contributorId":171365,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":957108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273752,"text":"ofr20251024 - 2026 - Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona","interactions":[],"lastModifiedDate":"2026-02-05T21:59:59.663994","indexId":"ofr20251024","displayToPublicDate":"2026-01-27T11:56:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1024","displayTitle":"Vegetation Cover and Composition in Environments Surrounding Uranium Mines in the Grand Canyon Ecosystem, Northern Arizona","title":"Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona","docAbstract":"Mining uranium from breccia-pipe deposits in the greater Grand Canyon region has occurred since the mid-1900s. However, possible ecosystem contamination with harmful levels of radionuclides may have occurred due to mining activities in the 21st century. In response, a 20-year Federal moratorium on new mining claims in the Grand Canyon watershed was initiated in 2012, to allow time to evaluate the potential effects of uranium exploration and mining on human health, wildlife, and water resources. This moratorium, nor the 2023 designation of the “Baaj Nwaavjo I’tah Kukveni–Ancestral Footprints of the Grand Canyon National Monument,” precludes operation or development of mining claims predating 2012.
Vegetation is a core ecosystem component that may be affected by uranium mining (for instance, through uptake and storage of radionuclides from the air or soil) or may act as a vector of exposure to wildlife, livestock, and humans (for instance, via their consumption of contaminated plant tissues). To provide baseline information about the plant communities associated with uranium mines in the Grand Canyon region, the U.S. Geological Survey surveyed an approximately 200-meter-wide buffer surrounding four breccia-pipe deposits, each in a unique stage of mine development, and at one reference area (a livestock water tank) that underwent ground disturbance but contains no mineral deposits. We sectioned the buffer zones into 0.65–4.52 hectare plots, within which we (1) inventoried all plant species, (2) measured percent cover of plant species, plant functional groups, and ground surface types (dark cyanobacteria, lichen, moss, bedrock, rock, embedded litter, duff, plant bases, and bare soil) using line-point intercept, and (3) measured length and frequency of gaps between perennial plant canopies using canopy gap intercept. We found that plant composition at the mines and the reference area differed from one another but were all characteristic of expected regional vegetation patterns. We provide this data summary as potential baseline information for future research and management efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251024","collaboration":"Prepared in cooperation with the Bureau of Land Management and U.S. Forest Service","usgsCitation":"Mann, R.K., Duniway, M.C., and Hinck, J.E., 2026, Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona: U.S. Geological Survey Open-File Report 2025–1024, 44 p., https://doi.org/10.3133/ofr20251024.","productDescription":"Report: vii, 44 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-100773","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499605,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119200.htm","linkFileType":{"id":5,"text":"html"}},{"id":499095,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912U706","text":"USGS data release","description":"Mann, R.K., and Duniway, M.C., 2020, Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P912U706","linkHelpText":"Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA"},{"id":499094,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1024/images"},{"id":499091,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1024/ofr20251024.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1024 PDF"},{"id":499090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1024/coverthb.jpg"},{"id":499092,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251024/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1024 HTML"},{"id":499093,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1024/ofr20251024.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1024 XML"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.1667,\n 36.667\n ],\n [\n -113.1667,\n 35.667\n ],\n [\n -111.667,\n 35.667\n ],\n [\n -111.667,\n 36.667\n ],\n [\n -113.1667,\n 36.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
U.S. Geological Survey
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Winter body condition is an important driver of survival, reproductive output, and overall population health in waterfowl. Diving duck species use distinct habitats, exploit unique resources, and can collectively provide an integrated index of winter habitat quality. The San Francisco Bay (SFB) is the largest estuary on the west coast of North America, serving as critical wintering habitat for diving ducks in the Pacific Flyway. To evaluate the body condition of diving ducks after multiple decades of tidal habitat restoration in SFB, we compared structurally corrected measurements (annual and decadal) of total carcass lipid among canvasback (Aythya valisineria), greater scaup (Aythya marila), lesser scaup (Aythya affinis), and ruddy duck (Oxyura jamaicensis). We found greater and lesser scaup gained lipid reserves within the estuary prior to spring migration; however, canvasback and ruddy duck lipid levels declined throughout the winter and into the spring. Lipid loss over the wintering period could indicate a reduction in foraging resource availability, dietary shifts, or metabolic changes. These deficiencies could have negative cross-seasonal implications, as these species must accumulate resources outside of their wintering areas to fuel migration and reproduction. Lipid levels were elevated in lesser scaup collected in 2017-2019 compared to 1998-2000, while we found no decadal differences in lipid levels for canvasback or greater scaup. Our findings suggest tidal restoration in SFB, among other factors, may benefit some diving duck species.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70157","usgsCitation":"Hill, M.A., De La Cruz, S.E., Hall, L.A., Moskal, S.M., Takekawa, J.Y., and Eadie, J.M., 2026, Seasonal and decadal changes in winter body condition of four sympatric diving ducks: Journal of Wildlife Management, v. 90, no. 3, e70157, 18 p., https://doi.org/10.1002/jwmg.70157.","productDescription":"e70157, 18 p.","ipdsId":"IP-170624","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500191,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500259,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70157","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.80199851025367,\n 38.22193702588538\n ],\n [\n -122.80199851025367,\n 37.4299942839268\n ],\n [\n -121.7624093609558,\n 37.4299942839268\n ],\n [\n -121.7624093609558,\n 38.22193702588538\n ],\n [\n -122.80199851025367,\n 38.22193702588538\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Mason A. 0000-0001-9549-475X","orcid":"https://orcid.org/0000-0001-9549-475X","contributorId":295337,"corporation":false,"usgs":true,"family":"Hill","given":"Mason","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moskal, Stacy M. 0000-0001-7627-5316","orcid":"https://orcid.org/0000-0001-7627-5316","contributorId":342631,"corporation":false,"usgs":true,"family":"Moskal","given":"Stacy","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y.","contributorId":366424,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","middleInitial":"Y.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":955888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eadie, John M.","contributorId":366425,"corporation":false,"usgs":false,"family":"Eadie","given":"John","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":955889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274093,"text":"70274093 - 2026 - Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States","interactions":[],"lastModifiedDate":"2026-02-25T15:55:07.891197","indexId":"70274093","displayToPublicDate":"2026-01-27T08:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23306,"text":"Environmental Science and Technology - Water","active":true,"publicationSubtype":{"id":10}},"title":"Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States","docAbstract":"Worldwide, about 50% of the population is served by groundwater-sourced drinking water. Numerous groundwater quality assessments have found that geogenic constituents are among the most common contaminants in drinking-water aquifers. Documenting changing groundwater quality is a crucial aspect of water availability assessments. We assess trends and occurrence of geogenic constituent concentrations in groundwater across the continental United States using 3 decades of data from the U.S. Geological Survey’s National Water Quality Network. Thousands of groundwater wells were grouped into agricultural, urban, or domestic supply network types. Although most networks and constituents had no statistically significant change in concentration, many had increasing concentration trends, elevated concentrations, or both. Lithium, sodium, radium, sulfate, and uranium had increasing trends in more than 10% of the study networks. Urban and domestic well networks had increasing lithium and sodium trends more often than agricultural networks. Manganese most commonly increased in domestic well networks; uranium more commonly increased in agricultural and urban networks. Elevated concentration mixtures were widespread, and mixture complexities appeared to increase over time. Our results indicate that more than 2.3 million domestic-well users may be affected by elevated concentrations of one or more geogenic constituents.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.5c00756","usgsCitation":"Erickson, M.L., Elliott, S.M., Musgrove, M., Hinman, E., Sleckman, M.J., Stackpoole, S.M., Lindsey, B.D., 2026, Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States: Environmental Science and Technology - Water, v. 6, no. 2, p. 664-678, https://doi.org/10.1021/acsestwater.5c00756.","productDescription":"15 p.","startPage":"664","endPage":"678","ipdsId":"IP-168374","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.5c00756","text":"Publisher Index 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0000-0003-1607-3864","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":223710,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinman, Elise Danica 0000-0001-5396-1583","orcid":"https://orcid.org/0000-0001-5396-1583","contributorId":356291,"corporation":false,"usgs":true,"family":"Hinman","given":"Elise Danica","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":956512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":956513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":211238,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":956514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 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Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting haemosporidian infections in two ecologically distinct wading birds from breeding colonies in the southeastern United States","docAbstract":"Wading birds may serve as ideal hosts for avian hemoparasites, as they are long-lived, undertake extensive movements, form dense breeding colonies, and inhabit water-associated environments that support vectors. Although previous studies have reported parasite species and prevalence in various wading bird species, little is known about their associations with bird behavior and life stage. To address this gap, we examined haemosporidian infections in two ecologically distinct species, white ibis (Eudocimus albus) and tricolored heron (Egretta tricolor), to explore differences in life stage and movement that may explain prevalence differences. We combined blood screening for hemoparasites with satellite tracking data describing birds’ movement patterns. We screened 95 white ibis (67 juveniles and 28 adults or subadults) and 69 tricolored herons (45 juveniles and 24 adults). We detected a single Haemoproteus plataleae lineage in both species, with higher infection prevalence in white ibis (42.1 %) than in tricolored herons (14.5 %). Among white ibis, adults showed a higher prevalence (67.9 %) than juveniles (31.3 %), whereas in tricolored herons, adults had a prevalence of 8.3 % and juveniles 17.8 %. Non-breeding season movement data showed that white ibis used both freshwater and saline habitats across the southeastern United States, which may also serve as habitats for vectors. In contrast, tricolored herons remained mainly along coastal areas, using saline habitats in the southeastern United States and wintering sites in Central America, which may be less favorable for vectors. Overall, white ibis may serve as major reservoirs and sources of reinfection for H. plataleae, whereas tricolored herons may facilitate parasite dispersal between breeding colonies along the coasts of the southeastern United States and wintering areas in Central America. This study presents the first direct comparison of hemoparasite infections in two ecologically distinct wading birds and highlights movement data as key to explaining infection differences, providing a baseline for future studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2026.101200","usgsCitation":"Zhang, K., Wisely, S.M., Gulick, C.K., and Powell, A., 2026, Contrasting haemosporidian infections in two ecologically distinct wading birds from breeding colonies in the southeastern United States: International Journal for Parasitology: Parasites and Wildlife, v. 29, 101200, 10 p., https://doi.org/10.1016/j.ijppaw.2026.101200.","productDescription":"101200, 10 p.","ipdsId":"IP-183890","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":504172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2026.101200","text":"Publisher Index Page"},{"id":503936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"coastal Alabama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.35793355923633,\n 30.644925624142573\n ],\n [\n -88.35793355923633,\n 30.184215271711693\n ],\n [\n -87.43408407312708,\n 30.184215271711693\n ],\n [\n -87.43408407312708,\n 30.644925624142573\n ],\n [\n -88.35793355923633,\n 30.644925624142573\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Ke","contributorId":336899,"corporation":false,"usgs":false,"family":"Zhang","given":"Ke","email":"","affiliations":[{"id":80906,"text":"Key Laboratory of Western China’s Environmental Systems (Ministry of Education)","active":true,"usgs":false}],"preferred":false,"id":960898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisely, Samantha M.","contributorId":371030,"corporation":false,"usgs":false,"family":"Wisely","given":"Samantha","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulick, Chris K.","contributorId":371031,"corporation":false,"usgs":false,"family":"Gulick","given":"Chris","middleInitial":"K.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby N. abby_powell@usgs.gov","contributorId":2534,"corporation":false,"usgs":false,"family":"Powell","given":"Abby N.","email":"abby_powell@usgs.gov","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":960901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273696,"text":"fs20253058 - 2026 - Recent scientific contributions by the U.S. Geological Survey in the San Francisco Bay and Sacramento–San Joaquin Delta Estuary","interactions":[],"lastModifiedDate":"2026-04-10T15:24:42.286298","indexId":"fs20253058","displayToPublicDate":"2026-01-26T08:50:40","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3058","displayTitle":"Recent Scientific Contributions by the U.S. Geological Survey in the San Francisco Bay and Sacramento–San Joaquin Delta Estuary","title":"Recent scientific contributions by the U.S. Geological Survey in the San Francisco Bay and Sacramento–San Joaquin Delta Estuary","docAbstract":"The San Francisco Bay and Sacramento–San Joaquin Delta Estuary (hereafter, Bay-Delta) is the largest estuary on the West Coast of the United States. The Bay-Delta covers more than 1,600 square miles and drains a watershed of more than 75,000 square miles, which is greater than 40 percent of California. The region surrounding the Bay-Delta is home to about 10 million people, and its habitats (fig. 1) support more than 800 plant and animal species. The waterways of the Bay-Delta are the central hub of California’s extensive freshwater delivery system, supplying water to more than 27 million Californians and 4 million acres of farmland in the Central Valley.
The U.S. Geological Survey (USGS) is the primary science agency of the U.S. Department of the Interior, providing a broad range of Earth, water, biological, and mapping data and expertise to inform natural resource management across the country. This fact sheet focuses on research conducted by the USGS in the Bay-Delta region, mostly within the past 5 years. The fact sheet is organized across five major themes: water flow and water quality, fish and wildlife, wetland restoration, invasive species, and hazards. In each of these areas, the USGS works closely with Federal, State, and local agencies; academia; and non-governmental organizations to provide objective, evidence-based science. The data and knowledge gained from USGS research and monitoring are publicly available and are routinely used by agencies, including the U.S. Bureau of Reclamation, U.S. Army Corps of Engineers, U.S. Fish and Wildlife Service, California Department of Water Resources, California Department of Fish and Wildlife, California State Water Resources Control Board, Delta Stewardship Council, and many additional organizations and stakeholders to inform management of the Bay-Delta region and its resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253058","usgsCitation":"Drexler, J.Z., and Weltzin, J.F., 2026, Recent scientific contributions by the U.S. Geological Survey in the San Francisco Bay and Sacramento–San Joaquin Delta Estuary: U.S. Geological Survey Fact Sheet 2025–3058, 6 p., https://doi.org/10.3133/fs20253058.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-177659","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499139,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119170.htm","linkFileType":{"id":5,"text":"html"}},{"id":498954,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3058/fs20253058.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3058 XML"},{"id":498953,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253058/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3058 HTML"},{"id":498952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3058/fs20253058.pdf","text":"Report","size":"14.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3058 PDF"},{"id":498957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3058/coverthb.jpg"},{"id":498955,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3058/images"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta Estuary, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.02008172785412,\n 38.8200776149005\n ],\n [\n -122.56776314124848,\n 38.8200776149005\n ],\n [\n -122.56776314124848,\n 37.19924956798722\n ],\n [\n -121.02008172785412,\n 37.19924956798722\n ],\n [\n -121.02008172785412,\n 38.8200776149005\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
The U.S. Geological Survey (USGS) is the primary science agency of the U.S. Department of the Interior. In the San Francisco Bay and Sacramento–San Joaquin Delta Estuary (Bay-Delta) of California, the USGS plays a unique role in providing scientific leadership because of its broad research and monitoring capabilities, innovative methodologies for data collection and analysis, and dedication to objective and credible science. This fact sheet provides a summary of recent USGS projects across the Bay-Delta organized under five major research themes: water flow and water quality, fish and wildlife, wetland restoration, invasive species, and hazards. A key component of USGS research is close collaboration with State and Federal partners, academia, and non-governmental organizations to accomplish its goals. The research and partnerships described in this fact sheet are critical to the management of the complex natural resource issues across the Bay-Delta region of California.
","publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"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":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":954311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weltzin, Jake 0000-0001-8641-6645","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":365438,"corporation":false,"usgs":false,"family":"Weltzin","given":"Jake","affiliations":[{"id":87138,"text":"formerly Senior Science Advisor, EMA, USGS, now retired.","active":true,"usgs":false}],"preferred":false,"id":954312,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273775,"text":"70273775 - 2026 - Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","interactions":[],"lastModifiedDate":"2026-03-23T14:45:51.612152","indexId":"70273775","displayToPublicDate":"2026-01-26T07:49:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","title":"Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","docAbstract":"The distribution and abundance of Phragmites in the Great Lakes coastal zone has expanded in part due to its unique ventilation physiology and its ability to take advantage of changes in lake levels over the past several decades. During an extended period of low lake levels in the early 2000s, Phragmites expanded into vast shallow water areas as lake bottoms were exposed. Many of those populations were able to persist when lake levels rose several years later. Here, we investigate a management strategy, known as cut-to-drown, that takes advantage of elevated water levels to effectively control Phragmites by cutting stems underwater, thereby drowning the plant and depleting its stored resources. We tested the impacts of cut timing and frequency on the effectiveness of the cut-to-drown strategy through a multi-year manipulative field study. After two seasons of treatments, we found a 92–99 % reduction in stem density, depending on cut timing. Carbohydrate reserves in rhizomes declined 75–92 %, such that rhizome viability was reduced by 73–100 %, depending on cut timing. We found that cutting continuously (every 2–3 weeks) throughout two growing seasons was the most effective way to implement cut-to-drown but provide evidence that less frequent cutting could produce similar results. Our study provides important evidence to inform best management practices for cut-to-drown. Particularly as lake level fluctuations become more frequent and extreme in the future, cut-to-drown could serve as a useful tool for limiting Phragmites’ ability to persist in high water environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102736","usgsCitation":"Bickford, W.A., Schaefer, K.A., Widin, S.L., and Kowalski, K., 2026, Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands: Journal of Great Lakes Research, v. 52, no. 2, 102736, 10 p., https://doi.org/10.1016/j.jglr.2025.102736.","productDescription":"102736, 10 p.","ipdsId":"IP-179652","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499164,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499322,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102736","text":"Publisher Index Page"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.09644325245834,\n 44.503344381110054\n ],\n [\n -84.09644325245834,\n 41.28305521847017\n ],\n [\n -81.75470105903604,\n 41.28305521847017\n ],\n [\n -81.75470105903604,\n 44.503344381110054\n ],\n [\n -84.09644325245834,\n 44.503344381110054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Kaira A. 0000-0002-6793-6095","orcid":"https://orcid.org/0000-0002-6793-6095","contributorId":359280,"corporation":false,"usgs":false,"family":"Schaefer","given":"Kaira","middleInitial":"A.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":954748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widin, Spenser L. 0000-0002-6470-4061","orcid":"https://orcid.org/0000-0002-6470-4061","contributorId":303341,"corporation":false,"usgs":true,"family":"Widin","given":"Spenser","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273873,"text":"70273873 - 2026 - Teach me how to pycap: A high-capacity well decision support tool using analytical solutions in Python","interactions":[],"lastModifiedDate":"2026-03-23T14:50:21.582142","indexId":"70273873","displayToPublicDate":"2026-01-25T09:06:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Teach me how to pycap: A high-capacity well decision support tool using analytical solutions in Python","docAbstract":"Regulatory agencies in humid temperate environments rely on timely evaluations of streamflow depletion and drawdown to protect aquatic ecosystems and existing water users. Numerical models offer detailed insights, but their complexity and time demands often preclude their practical use in rapid decision-making. We present pycap-dss, an open-source Python package that implements a suite of analytical solutions for estimating streamflow depletion and drawdown. The tool supports superposition of multiple wells and time-varying pumping, enabling cumulative impact assessments in situations with multiple wells and streams. The software is modular and extensible, allowing users to interchange solutions or add new analytical methods. A YAML-based configuration supports batch processing of multiple wells, and an optional AnalysisProject class facilitates integration with regulatory workflows. Rigorous unit and regression testing ensures computational reliability, and continuous integration supports ongoing development. We demonstrate deterministic examples of drawdown where multiple solutions are readily compared and streamflow depletion with multiple wells in the Central Sands region of Wisconsin. We also show the value of Monte Carlo analyses of streamflow depletion in the same Central Sands example, leveraging computational efficiency to evaluate the uncertainty of individual and cumulative streamflow depletion calculations from over 200 high-capacity wells.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70046","usgsCitation":"Fienen, M., Pruitt, A., and Reeves, H.W., 2026, Teach me how to pycap: A high-capacity well decision support tool using analytical solutions in Python: Groundwater, v. 64, no. 2, p. 223-234, https://doi.org/10.1111/gwat.70046.","productDescription":"12 p.","startPage":"223","endPage":"234","ipdsId":"IP-183720","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499748,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499946,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70046","text":"Publisher Index Page"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Tomorrow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.67725263192825,\n 44.6879674210181\n ],\n [\n -89.67725263192825,\n 44.15565808301017\n ],\n [\n -89.16563204911922,\n 44.15565808301017\n ],\n [\n -89.16563204911922,\n 44.6879674210181\n ],\n [\n -89.67725263192825,\n 44.6879674210181\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pruitt, Aaron","contributorId":214451,"corporation":false,"usgs":false,"family":"Pruitt","given":"Aaron","affiliations":[],"preferred":false,"id":955344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955345,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273779,"text":"70273779 - 2026 - Prioritizing resource protection and understanding potential susceptibility of springs to surficial changes in a low-temperature geothermal system","interactions":[],"lastModifiedDate":"2026-01-29T14:54:24.411943","indexId":"70273779","displayToPublicDate":"2026-01-24T08:46:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing resource protection and understanding potential susceptibility of springs to surficial changes in a low-temperature geothermal system","docAbstract":"Geothermal systems are vulnerable to changes in water budget and composition, requiring science-based management. This study uses a dataset of spring water temperatures, time series of groundwater residence time tracers (tritium and carbon-14), and stable isotopes of water to understand geothermal flow in a low-temperature geothermal system in north west Colorado, United States (Steamboat Springs). The geothermal system is bisected by the Yampa River, necessitating a stream mass balance approach to quantify total discharge. Time series analysis of water temperature data provides a ranked list of features more susceptible to surficial changes, which is corroborated using time series of tritium which indicate spatially distinct patterns of mixing between modern and pre-modern groundwater. All springs contain a portion of pre-modern groundwater that is thousands to tens of thousands of years old, a period coinciding with melting of extensive Pleistocene glaciers that was likely one of the recharge sources to the geothermal system. Stream mass balance indicates that greater than 80% of the total geothermal discharge is derived from diffuse or small springs, highlighting the extensive nature of the geothermal outflow zone and the association with local geologic structures. This study provides baseline data to support management of the Steamboat Springs geothermal system and indicates the utility of these approaches in developing science-based geothermal management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2026.103615","usgsCitation":"Newman, C.P., and Pepin, J.D., 2026, Prioritizing resource protection and understanding potential susceptibility of springs to surficial changes in a low-temperature geothermal system: Geothermics, v. 136, 103615, 14 p., https://doi.org/10.1016/j.geothermics.2026.103615.","productDescription":"103615, 14 p.","ipdsId":"IP-180997","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2026.103615","text":"Publisher Index Page"},{"id":499224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Steamboat Springs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.87961681380281,\n 40.567\n ],\n [\n -106.87961681380281,\n 40.45\n ],\n [\n -106.68,\n 40.45\n ],\n [\n -106.68,\n 40.567\n ],\n [\n -106.87961681380281,\n 40.567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"136","noUsgsAuthors":false,"publicationDate":"2026-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepin, Jeffrey D. 0000-0002-7410-9979","orcid":"https://orcid.org/0000-0002-7410-9979","contributorId":222161,"corporation":false,"usgs":true,"family":"Pepin","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274166,"text":"70274166 - 2026 - A catalogue of Do's and Don'ts in the modeling of environmental systems","interactions":[],"lastModifiedDate":"2026-03-03T15:08:37.444188","indexId":"70274166","displayToPublicDate":"2026-01-24T08:01:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A catalogue of Do's and Don'ts in the modeling of environmental systems","docAbstract":"Modeling plays a vital role in understanding and managing complex environmental systems, but its credibility and quality depend heavily on a comprehensive set of defensible model activities and practices, especially when the system of interest is plagued with uncertainties and conflicting stakeholder perspectives. This paper proposes a catalogue of Do's and Don'ts to guide modelers in addressing the many pertinent considerations through the whole modeling cycle. This practical tool provides advice on approaching modeling effectively through adhering to good modeling practice. It emphasizes model choices that align with the model purpose and context, and the justification and documentation of modeling decisions and assumptions. Managing uncertainty is a core consideration. The identification, assessment and reporting of these uncertainties is important across the entire modeling process, which spans problem framing, technical design, implementation and application phases. Such good practices are critical for transparency and reliability of the modeling.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2026.106893","usgsCitation":"Sun, X., Jakeman, A.J., Hamilton, S.H., Grimm, V., Hunt, R.J., El Sawah, S., Wang, H., Croke, B., and Chen, M., 2026, A catalogue of Do's and Don'ts in the modeling of environmental systems: Environmental Modelling and Software, v. 198, 106893, 13 p., https://doi.org/10.1016/j.envsoft.2026.106893.","productDescription":"106893, 13 p.","ipdsId":"IP-176780","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Xifu","contributorId":367094,"corporation":false,"usgs":false,"family":"Sun","given":"Xifu","affiliations":[{"id":27305,"text":"Australia National University","active":true,"usgs":false}],"preferred":false,"id":956745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":956746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamilton, Serena H","contributorId":248834,"corporation":false,"usgs":false,"family":"Hamilton","given":"Serena","email":"","middleInitial":"H","affiliations":[{"id":50035,"text":"School of Science, Edith Cowan University, Joondalup, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":956772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grimm, Volker","contributorId":224014,"corporation":false,"usgs":false,"family":"Grimm","given":"Volker","affiliations":[{"id":26949,"text":"Helmholtz Centre for Environmental Research, Germany","active":true,"usgs":false}],"preferred":false,"id":956773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":214444,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"El Sawah, Sondoss","contributorId":367096,"corporation":false,"usgs":false,"family":"El Sawah","given":"Sondoss","affiliations":[{"id":87548,"text":"University of New South Wales Canberra","active":true,"usgs":false}],"preferred":false,"id":956749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Hsiao-Hsuan","contributorId":349683,"corporation":false,"usgs":false,"family":"Wang","given":"Hsiao-Hsuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":956750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Croke, Barry 0000-0001-9216-1554","orcid":"https://orcid.org/0000-0001-9216-1554","contributorId":248856,"corporation":false,"usgs":false,"family":"Croke","given":"Barry","email":"","affiliations":[{"id":27305,"text":"Australia National University","active":true,"usgs":false}],"preferred":false,"id":956747,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Min","contributorId":330043,"corporation":false,"usgs":false,"family":"Chen","given":"Min","affiliations":[{"id":78773,"text":"University of Wisconsin-Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":956751,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274536,"text":"70274536 - 2026 - Extreme Potomac floods at Washington D.C. during the past 500 years","interactions":[],"lastModifiedDate":"2026-03-31T15:13:33.863387","indexId":"70274536","displayToPublicDate":"2026-01-23T10:08:43","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":"Extreme Potomac floods at Washington D.C. during the past 500 years","docAbstract":"Washington D.C. faces one of the highest 100-year flood risks of any major city along the U.S. East Coast. In addition to storm-surge inundation during hurricanes and nor'easters, water-level observations for Washington are strongly skewed by major floods on the Potomac River. Using geologic and historic records we find new evidence for ice-jam flooding at Georgetown during the Little Ice Age, as recently as 1784, that was up to ∼2x the magnitude of the largest events of the past hundred years (1936, 1942). Over the 19th century (a) human modifications to the Potomac estuary as well as (b) increasingly heavy rainfall and (c) land-clearance in the watershed may have contributed to increasingly frequent large floods at Washington. Early surveys of the U.S. Capitol Building and other local landmarks also suggest sea level on the Potomac estuary at Washington has risen by upwards of 0.7 m (2.2 ft) since the 1790s.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL118329","usgsCitation":"Toomey, M., Cronin, T.M., Rodysill, J.R., Seidenstein, J.L., and Willard, D., 2026, Extreme Potomac floods at Washington D.C. during the past 500 years: Geophysical Research Letters, v. 53, no. 2, e2025GL118329, 10 p., https://doi.org/10.1029/2025GL118329.","productDescription":"e2025GL118329, 10 p.","ipdsId":"IP-171642","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":502073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118329","text":"Publisher Index Page"},{"id":501861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","city":"WAshington D.C.","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.12661486872723,\n 38.949829500116806\n ],\n [\n -77.12661486872723,\n 38.764446761388854\n ],\n [\n -76.97381536652976,\n 38.764446761388854\n ],\n [\n -76.97381536652976,\n 38.949829500116806\n ],\n [\n -77.12661486872723,\n 38.949829500116806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":958150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodysill, Jessica R. 0000-0002-3602-7227 jrodysill@usgs.gov","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":207577,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","email":"jrodysill@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seidenstein, Julia Lynn 0000-0002-0585-1977","orcid":"https://orcid.org/0000-0002-0585-1977","contributorId":290625,"corporation":false,"usgs":true,"family":"Seidenstein","given":"Julia","email":"","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":958153,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273793,"text":"70273793 - 2026 - Per- and polyfluoroalkyl substances (PFAS) and other contaminants of concern in tribal waters of Montana","interactions":[],"lastModifiedDate":"2026-03-10T13:50:38.007055","indexId":"70273793","displayToPublicDate":"2026-01-23T08:48:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Per- and polyfluoroalkyl substances (PFAS) and other contaminants of concern in tribal waters of Montana","docAbstract":"We assessed potential exposures to a broad suite of contaminants (inorganic, organic and microbial) in culturally important surface waters from three watersheds in a northern plains Native American community (Apsáalooke [Crow Tribe of Montana]) in south-central Montana, United States, with water insecurity concerns. Inorganic (37), organic (435) and microbial (3) constituents were assessed in 12 surface water sites from the Pryor Creek (n = 2), Bighorn River (n = 2) and Little Bighorn River (n = 8) valleys. Twenty-six organics, 33 inorganics and Escherichia coli were detected. Despite relatively low concentrations in surface waters within the Crow Reservation, mixture toxicity indicated prevalent chronic ecological effects and human-health secondary contact (recreation) effects at multiple sites. Further, to address Tribal concerns over the prevalence and corresponding risks of per- and polyfluoroalkyl substances (PFAS), we sampled water, sediment, biofilms and fish at a limited number of locations in the Little Bighorn River. Results indicated that PFAS were prevalent in fish tissues, including whole blood and filets, and to a lesser extent in biofilms, despite few detections in water and sediment samples. This is the first attempt to document environmental PFAS contamination within the reservation and the potential human-health concerns for the general population from consumption of recreational/subsistence fish. Overall, this effort provided preliminary information on the contaminant mixtures present and their potential health implications, which can support the protection of community health and culturally meaningful resources across the Crow Reservation.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/d5em00565e","usgsCitation":"Smalling, K., Bradley, P., Romanok, K., Doyle, J.T., Eggers, M.J., Martin, C., Barnhart, E.P., Binette, P., Castro, E.M., Chavez, M., Ewing, S.A., Gordon, S.E., Fields, M.W., Gray, J.L., Groshong, A.M., Hwang, C., Kanagy, L.K., LaFrance, J.W., Loftin, K., Long, C.M., McCleskey, R., Meppelink, S.M., Richards, C.L., Schreiner, M., Shikany, J.I., and Tesfamariam, M., 2026, Per- and polyfluoroalkyl substances (PFAS) and other contaminants of concern in tribal waters of Montana: Environmental Science: Processes & Impacts, v. 28, p. 579-597, https://doi.org/10.1039/d5em00565e.","productDescription":"19 p.; Data Release","startPage":"579","endPage":"597","ipdsId":"IP-176501","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":499612,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Chronic exposure is linked with multiple health outcomes, and risk can change sharply over short distances and with well depth. Coarse maps or sparse sampling often miss exceedances. Most existing models operate at ∼1 km resolution and use groundwater chemistry or detailed geologic logs, which limits their use in undersampled areas where improved guidance is most needed. We overcome these limitations by developing a machine learning model for Minnesota, USA, that predicts As exposure risk using only surficial variables from remote sensing and global data sets. Variables related to surface water hydrology and geomorphology are selected based on mechanistic links that control redox conditions and As mobilization. Local training was essential, and surficial geology variables that are more sensitive to local conditions were needed to maximize model accuracy. The resulting complete model was sufficiently sensitive to generate accurate and detailed risk maps and depth profiles of As concentrations above the 10 μg/L maximum contaminant level. Accuracy depended on local training data density. We identified a training data density of 0.07 wells/km2 as a practical target for stable county-level performance. Maps of exceedance probabilities highlight priority areas for testing that are particularly important in rural communities that have received less sampling. These results support public health action by guiding where to install wells and where to test them, how much new sampling is needed, and where treatment outreach is most urgent.
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We investigated the links among the environment, animal movement, and infectious disease dynamics in waterfowl, which are among the primary wildlife hosts of avian influenza viruses. By combining telemetry data on 4606 individuals from 26 waterfowl species with data on land cover, weather, and vegetation, we found that waterfowl moved less in areas of higher land cover heterogeneity and higher human population density. Moreover, predicted waterfowl movement distances were weakly but positively correlated with distances between detections of H5N1 highly pathogenic avian influenza in wild waterfowl, suggesting that environmental conditions might contribute to the spread of this disease via their effects on bird movements. By considering wildlife movements alongside other drivers of infectious disease dynamics, such as livestock production and human mobility, we move closer to predicting outbreaks and informing interventions.
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One focus of the Great Lakes Restoration Initiative (GLRI), a mechanism to coordinate conservation efforts in the Great Lakes that began in 2010, is reducing NPS nutrient pollution through the implementation of conservation practices in priority watersheds (Genesee River, Fox River, Maumee River, and Saginaw River). As part of GLRI efforts, the objective of the study presented here was to evaluate the effects of conservation implementation, specifically increasing vegetative cover on fields and in primary flowpaths through perennial or cover crop planting and grassed waterways, on surface-runoff water quality at 12 agricultural fields (six paired and six unpaired) located in priority watersheds. We determined the percentage difference in mean event response variables between the periods before and after conservation implementation at individual sites, describing patterns across sites to synthesize lessons learned from these GLRI evaluations. Generally, we found that mean event flow-weighted concentration (FWC) and yield (kilograms per hectare) decreased for suspended sediment (SS) and nitrate (NO3–-N) across many sites. Mean event FWC and yield for total P (TP) showed mixed results across sites, while mean event FWC and yield for orthophosphate generally increased across sites. These results indicate that perennial or cover crop planting and grassed waterways effectively reduce SS and NO3–-N losses in surface runoff from agricultural fields, but mitigating TP and dissolved P losses remains a challenge.
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