The National Park of American Samoa (NPSA), which protects some of the most intact tropical rainforest in the South Pacific, is exposed to recurring, intense tropical cyclones, including Tropical Cyclone Gita in 2018. In combination with other anthropogenic pressures, cyclones represent a potential source of disturbance to landbird populations, particularly native frugivorous and seed-dispersing species. Long-term monitoring provides a means to evaluate population trajectories following disturbance events and to identify potential management gaps. Landbird surveys were conducted in the Tutuila and Taʻū units of NPSA in 2011, 2018, and 2023 using point-transect distance sampling, with vegetation composition and structure quantified at each sampling station. Species-specific detection functions were fitted to count data to estimate densities by unit, with variance estimated using bootstrap procedures. Comparisons of 2018 and 2023 density estimates using two-sample z-tests indicated that changes in most landbird populations were inconclusive. Since 2018, increases in density were observed for the Pacific Imperial Pigeon (Ducula pacifica) and Crimson-crowned Fruit Dove (Ptilinopus porphyraceus) on Tutuila, while decreases were observed for the Pacific Kingfisher (Todiramphus sacer) on Tutuila, and for the Polynesian Wattled Honeyeater (Foulehaio carunculatus), Polynesian Starling (Aplonis tabuensis), and Samoan Starling (Aplonis atrifusca) on Taʻū. The Many-colored Fruit Dove (Ptilinopus perousii) remained rare in both units, and the Manuʻa Shrikebill (Clytorhynchus vitiensis powelli) was narrowly distributed on Taʻū, with insufficient detections of either species to estimate density. The cryptic Spotless Crake (Zapornia tabuensis) was detected only in 2018. Changes in tree canopy cover and height did not exhibit patterns clearly associated with a major disturbance event and likely reflected differences in sampling frames among surveys. Invasive non-native plants, most notably Miconia crenata, were widespread in both units. Although many landbird populations in NPSA remain abundant, inference from current monitoring is constrained by limited information on vital rates and species-specific responses to invasive species, disease, habitat change, and extreme weather. As climate change is projected to increase tropical cyclone intensity in the South Pacific, sustained monitoring and targeted management will be important for understanding and conserving landbird populations in American Samoa.
","language":"English","publisher":"National Park Service","doi":"10.36967/2316674","usgsCitation":"Hunt, N., Judge, S., Camp, R.J., 2026, Population densities and trends of landbirds in the National Park of American Samoa: Science Report NPS/SR-2026/377, xi, 79 p., https://doi.org/10.36967/2316674.","productDescription":"xi, 79 p.","ipdsId":"IP-174526","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":500412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"National Park of American Samoa, Ta'u, Tutuila","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.89596699989136,\n -14.17346219088654\n ],\n [\n -170.89596699989136,\n -14.400947786592383\n ],\n [\n -170.47894716767155,\n -14.400947786592383\n ],\n [\n -170.47894716767155,\n -14.17346219088654\n ],\n [\n -170.89596699989136,\n -14.17346219088654\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.39051734301117,\n -14.192613255926261\n ],\n [\n -169.5245407615402,\n -14.192613255926261\n ],\n [\n -169.5245407615402,\n -14.286383192427323\n ],\n [\n -169.39051734301117,\n -14.286383192427323\n ],\n [\n -169.39051734301117,\n -14.192613255926261\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":956451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":956452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":956453,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273293,"text":"70273293 - 2026 - Insights into widespread landsliding in southern Appalachia from Hurricane Helene","interactions":[],"lastModifiedDate":"2026-01-05T15:55:55.615417","indexId":"70273293","displayToPublicDate":"2026-01-01T09:49:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Insights into widespread landsliding in southern Appalachia from Hurricane Helene","docAbstract":"Between 23 and 27 September 2024, antecedent rain followed by Hurricane Helene produced one of the most damaging weather events in southern Appalachia history. The back-to-back storm events resulted in a maximum cumulative rainfall of 848 mm and hurricane-force wind gusts over 170 km/h in western North Carolina, eastern Tennessee, and southwestern Virginia. The resulting regional flooding, landslides, and tree blowdown caused over 100 fatalities, damaged or destroyed critical infrastructure and thousands of structures, and severed connectivity across the region. Over the next several weeks, a multi-agency landslide response produced a rapid hazard assessment and mapped 2217 landslides, 55% of which damaged infrastructure or property. Orographic uplift enhanced rainfall, resulting in concentrated landsliding along the ~250 km swath of the Blue Ridge escarpment in western North Carolina. Landslides initiated predominantly on windward-facing (southeast-facing) slopes, and localized clustering of initiation points indicated a strong influence of hillslope-scale meteorological and geomorphic factors. Many shallow landslides mobilized into larger, highly mobile, and damaging debris flows that graded into floods. Here, we put our preliminary observations in the context of historical storm-driven landslide events and open new avenues for investigating the nature and extent of landslides and their effects in southern Appalachia and similar environments.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GSATG625A.1","usgsCitation":"Schaefer, L.N., Rengers, F.K., Mirus, B., Toney, L., Allstadt, K.E., Wooten, R., Moore, P., Burgi, P.M., Witt, A., Bilderback, E., Bauer, J., Korte, D., and Crawford, M., 2026, Insights into widespread landsliding in southern Appalachia from Hurricane Helene: GSA Today, v. 36, no. 1, p. 4-11, https://doi.org/10.1130/GSATG625A.1.","productDescription":"8 p.","startPage":"4","endPage":"11","ipdsId":"IP-176367","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":498456,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/gsatg625a.1","text":"Publisher Index Page"},{"id":498323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South 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Officer’s (CPO) Bungalows Neighborhood of Pearl Harbor National Memorial (PERL) on the island of O‘ahu. We established four acoustic monitoring stations (PERL1–PERL4) that operated nightly to survey for ‘ōpe‘ape‘a echolocation activity from June to December 2024. Tree physiognomy data were collected at 12 potential roost trees and included tree species, tree height, diameter at breast height (DBH), percent canopy cover, distance to nearest tree, elevation, and canopy geometry. We collected 357,802 acoustic files over 672 station-nights across the four acoustic monitoring stations. ‘Ōpe‘ape‘a echolocation activity was detected over a total of 26 (4%) station-nights and during each month of the survey period except June. Echolocation activity peaked in September and October 2024, which is during the post-lactation and fledging period. These results represent a baseline for assessing ‘ōpe‘ape‘a acoustic activity and potential roosting resources in PERL.
","language":"English","publisher":"National Park Service","doi":"10.36967/2315870","usgsCitation":"Montoya-Aiona, K., and Courtot, K., 2026, Inventory of bat activity at Pearl Harbor National Memorial to inform historic preservation and compliance: Science Report NPS/SR—2026/372, vii, 15 p., https://doi.org/10.36967/2315870.","productDescription":"vii, 15 p.","ipdsId":"IP-180417","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":500192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Ford Island, Oahu, Pearl Harbor National Memorial","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.94928573902297,\n 21.36946364709381\n ],\n [\n -157.95797973585766,\n 21.372455995420424\n ],\n [\n -157.96593473321434,\n 21.370101636011114\n ],\n [\n -157.96985736216502,\n 21.36008134582263\n ],\n [\n -157.96756993748758,\n 21.354279390445413\n ],\n [\n -157.96142938298075,\n 21.35552956739673\n ],\n [\n -157.95258348619797,\n 21.360177099234846\n ],\n [\n -157.94928573902297,\n 21.36946364709381\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":955926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":955927,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273294,"text":"70273294 - 2026 - The 2025 “Hacking Limnology” Workshop Series and DSOS Virtual Summit: A half decade of data-intensive aquatic science","interactions":[],"lastModifiedDate":"2026-03-09T14:41:39.133524","indexId":"70273294","displayToPublicDate":"2026-01-01T09:36:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18805,"text":"Limnology & Oceanography Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The 2025 “Hacking Limnology” Workshop Series and DSOS Virtual Summit: A half decade of data-intensive aquatic science","docAbstract":"No abstract available.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lob.70017","usgsCitation":"Meyer, M.F., Mesman, J., Barbosa, C.C., Borelli, J.J., Feldbauer, J., Harlan, M.E., Hensley, R.T., Kuyumcu, B., Ladwig, R., Oleksy, I., Pilla, R.M., Zwart, J.A., Biddle, M., Kinzel, P.J., Legleiter, C.J., Moore, T., Murray, T., Nkwalale, L., Overstreet, B., Rumman, M., and Woelmer, W., 2026, The 2025 “Hacking Limnology” Workshop Series and DSOS Virtual Summit: A half decade of data-intensive aquatic science: Limnology & Oceanography Bulletin, v. 35, no. 1, p. 43-45, https://doi.org/10.1002/lob.70017.","productDescription":"3 p.","startPage":"43","endPage":"45","ipdsId":"IP-183718","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":498454,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lob.70017","text":"Publisher Index Page"},{"id":498321,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - 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Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953262,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":953263,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Moore, Tadhg","contributorId":297276,"corporation":false,"usgs":false,"family":"Moore","given":"Tadhg","affiliations":[{"id":64341,"text":"Dundalk Institute of Technology, Department of Applied Sciences, Dundalk, Ireland","active":true,"usgs":false}],"preferred":false,"id":953264,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Murray, Tylar","contributorId":267183,"corporation":false,"usgs":false,"family":"Murray","given":"Tylar","email":"","affiliations":[{"id":55430,"text":"Institute for Marine Remote Sensing/IMaRS, College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":953265,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Nkwalale, Lipa 0009-0004-3832-3056","orcid":"https://orcid.org/0009-0004-3832-3056","contributorId":364825,"corporation":false,"usgs":false,"family":"Nkwalale","given":"Lipa","affiliations":[{"id":55601,"text":"Helmholtz Centre for Environmental Research - UFZ","active":true,"usgs":false}],"preferred":false,"id":953266,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Overstreet, Brandon 0000-0001-7845-6671 boverstreet@usgs.gov","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":169201,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"boverstreet@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953267,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rumman, Mehraz 0009-0003-2008-896X","orcid":"https://orcid.org/0009-0003-2008-896X","contributorId":364827,"corporation":false,"usgs":false,"family":"Rumman","given":"Mehraz","affiliations":[{"id":86986,"text":"Jagannath University, Bangladesh","active":true,"usgs":false}],"preferred":false,"id":953268,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Woelmer, Whitney M.","contributorId":303911,"corporation":false,"usgs":false,"family":"Woelmer","given":"Whitney M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":953269,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70273935,"text":"70273935 - 2026 - Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage","interactions":[],"lastModifiedDate":"2026-02-18T14:55:47.849711","indexId":"70273935","displayToPublicDate":"2026-01-01T07:42:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage","docAbstract":"The management of acid mine drainage (AMD) impacted catchments, such as the Odiel River basin, in southwestern Spain, prioritizes reclamation to meet water resources needs. Assessing water composition across its watercourses is needed to identify major AMD contributors and potentially guide remediation efforts. An equilibrium-based mixing model was developed to simulate AMD pollutant load reductions and estimate the impact of selective restorations on water quality in the Odiel River, particularly at the planned Alcolea Reservoir near its outlet. Sampling under varying flow conditions (average vs. high flow) showed a reduction in acidity transport (from 54.0 to 42.5 ton/day), attributed to greater neutralization effects during high flows. Over 90 % of metal-fluxes originate alone from the Riotinto (73.6 %), Tharsis (14.5 %), and San Telmo (5.00 %) mining districts, among many other mines. While geochemical model estimates fit well with observed data (R2 = 0.99), some deviations in non-conservative constituents (i.e. pH, Fe and Al) were observed (R2 = 0.73–0.99), likely due to uncertainties in solubility constants and redox/Fe speciation. After evaluating model reliability, two reduction scenarios (50 % and 100 %) were applied to the three primary sources. Full removal of contamination could subtantially improve impounded reservoir water quality, with pH values of 4.93 and 7.64, and a net acidity between 8.75 and 4.63 mg/L eq. CaCO3 in both average and high flows, respectively. Such differences may be related to flow regime effects on water quality. However, a 50 % reduction is insufficient to meet drinking or irrigation standards, highlighting the need for full and appropriate reclamation. The model offers a management tool for decision-making in the restoration of the Odiel River basin and could be transferable to similar AMD-affected basins worldwide.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.127486","usgsCitation":"Romero-Matos, J., Sánchez-López, L., León, R., Runkel, R.L., Nordstrom, D.K., Cánovas, C.R., Macías, F., and Nieto, J.M., 2026, Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage: Journal of Environmental Management, v. 397, 127486, 16 p., https://doi.org/10.1016/j.jenvman.2025.127486.","productDescription":"127486, 16 p.","ipdsId":"IP-178223","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":500250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2025.127486","text":"Publisher Index Page"},{"id":500136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Odiel River basin, southwestern Spain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -8.184000319431135,\n 37.77675639447594\n ],\n [\n -8.184000319431135,\n 37.181601306712864\n ],\n [\n -6.784070704852212,\n 37.181601306712864\n ],\n [\n -6.784070704852212,\n 37.77675639447594\n ],\n [\n -8.184000319431135,\n 37.77675639447594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romero-Matos, Jonatan","contributorId":366397,"corporation":false,"usgs":false,"family":"Romero-Matos","given":"Jonatan","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sánchez-López, Laura","contributorId":366398,"corporation":false,"usgs":false,"family":"Sánchez-López","given":"Laura","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"León, Rafael","contributorId":366399,"corporation":false,"usgs":false,"family":"León","given":"Rafael","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nordstrom, D. Kirk","contributorId":366400,"corporation":false,"usgs":false,"family":"Nordstrom","given":"D.","middleInitial":"Kirk","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":955816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cánovas, Carlos R.","contributorId":366401,"corporation":false,"usgs":false,"family":"Cánovas","given":"Carlos","middleInitial":"R.","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Macías, Francisco","contributorId":366402,"corporation":false,"usgs":false,"family":"Macías","given":"Francisco","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nieto, José Miguel","contributorId":366403,"corporation":false,"usgs":false,"family":"Nieto","given":"José","middleInitial":"Miguel","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955819,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273345,"text":"70273345 - 2026 - Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-04-06T15:42:10.531652","indexId":"70273345","displayToPublicDate":"2025-12-31T10:45:28","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model","docAbstract":"The rate of earthquakes in a region is a fundamental input to Probabilistic Seismic Hazard Analysis. We present a Monte Carlo method for computing that rate from seismicity catalogs while including a range of data and analysis uncertainties. This method is applied to regions for which the b value is assumed to be spatially invariant. Each region is broken down into epochs for which each epoch is estimated to have a uniform magnitude of completeness (Mc). The distribution of earthquake rates for M ≥ Mc is determined for each epoch by considering the Poisson likelihood of rates given the number of observed earthquakes with M ≥ Mc. We use a Monte Carlo process to include the uncertainty in b, Mc, and individual event magnitudes. The result for each epoch is the joint distribution of the Poisson rate of earthquakes with magnitudes larger than the minimum value used to calculate hazard (M1) and the Gutenberg–Richter b values, which control the extrapolation to other magnitudes. The rate for each region is either the duration‐weighted average over the epochs or, to better capture temporal variations, we also consider mixture models. The mixture models also provide an avenue to allow temporal variations in b values. To implement this joint distribution in a logic tree, we use the mean and 95% confidence branches, each of which is parameterized with an M ≥ M1 rate and b value. We explore different ways of defining those branches, as well as non‐Gutenberg–Richter branches, and their impact on hazard estimates. The mean hazard, but not the fractiles, is robust with respect to these choices. To illustrate these new methods, we use synthetic data and catalogs from recent U.S. Geological Survey National Seismic Hazard Models for the Central and Eastern United States and for Puerto Rico and the U.S. Virgin Islands.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240245","usgsCitation":"Michael, A.J., and Llenos, A.L., 2026, Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model: Bulletin of the Seismological Society of America, v. 116, no. 2, p. 786-809, https://doi.org/10.1785/0120240245.","productDescription":"24 p.","startPage":"786","endPage":"809","ipdsId":"IP-171147","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498394,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498476,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240245","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"central and eastern United States, Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.78074090569169,\n 18.563253258174967\n ],\n [\n -68.0988965908456,\n 17.877923675754772\n ],\n [\n -65.79027508404809,\n 17.94024820912165\n ],\n [\n -64.91802672378982,\n 17.61876483723642\n ],\n [\n -64.54841087453303,\n 17.674241141684107\n ],\n [\n -64.67276844737347,\n 18.36505205279029\n ],\n [\n -64.85854582812973,\n 18.494803755055287\n ],\n [\n -67.78074090569169,\n 18.563253258174967\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103,\n 50\n ],\n [\n -103,\n 24\n ],\n [\n -60,\n 24\n ],\n [\n -60,\n 50\n ],\n [\n -103,\n 50\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":953399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":953400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273310,"text":"70273310 - 2026 - Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds","interactions":[],"lastModifiedDate":"2026-01-06T15:55:04.61116","indexId":"70273310","displayToPublicDate":"2025-12-30T09:46:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds","docAbstract":"At many petroleum hydrocarbon spill sites, residual spilled product forms a long-term source of groundwater contamination. The phrase source zone natural depletion is used to refer to the mass loss rates. Overall mass lost under environmental conditions was analyzed using conservative biomarker concentrations for a 1979 oil spill in northern Minnesota, USA. After 40–41 years, an average of 50% of the mass was lost with values ranging from 22% to 57% depending on location. It is also important to understand the composition changes in the source. To understand controls on the losses of individual compounds, concentrations of volatile hydrocarbons in oil samples were compared with aqueous solubilities, and pore-space oil saturations. The results of the comparison show that losses of the oil compounds were controlled by pore-space oil saturations, solubility, and susceptibility to degradation under methanogenic conditions. Compounds that degrade under methanogenic conditions, including toluene, o-xylene, and n-alkanes are more depleted compared to benzene, ethylbenzene, and m- and p-xylene for which losses are dominated by dissolution. These rates and compound-specific behaviors form a foundation for improved modeling approaches and risk analyses.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041964","usgsCitation":"Bekins, B., and Herkelrath, W., 2026, Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds: Water Resources Research, v. 62, no. 1, e2025WR041964, 19 p., https://doi.org/10.1029/2025WR041964.","productDescription":"e2025WR041964, 19 p.","ipdsId":"IP-139177","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041964","text":"Publisher Index Page"},{"id":498361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Bemidji crude oil site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.0916,\n 47.5742\n ],\n [\n -95.0916,\n 47.5733\n ],\n [\n -95.0895,\n 47.5733\n ],\n [\n -95.0895,\n 47.5742\n ],\n [\n -95.0916,\n 47.5742\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkelrath, William 0000-0002-6149-5524","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":210576,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953298,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273323,"text":"70273323 - 2026 - Effect of passive integrated transponder tag size on survival, tag loss, and growth of Santa Ana Sucker","interactions":[],"lastModifiedDate":"2026-02-09T16:20:17.765608","indexId":"70273323","displayToPublicDate":"2025-12-30T09:41:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of passive integrated transponder tag size on survival, tag loss, and growth of Santa Ana Sucker","docAbstract":"The Santa Ana Sucker Pantosteus santaanae is endemic to southern California and is listed as threatened under the U.S. Endangered Species Act. Seasonal limitations on conventional sampling and inconsistencies in survey methodologies have led to an incomplete understanding of population dynamics. Alternative sampling methods have the potential to fill important knowledge gaps in biology and life history. One option is to use passive integrated transponder (PIT) tags to identify individuals and track their movements. The objective of this study was to test the effect of PIT tag size on survival, tag loss, and growth of Santa Ana Suckers.
Sixty-one Santa Ana Suckers were randomly assigned to one of three treatments (control: N = 20; 8-mm PIT tag: N = 21; or 12-mm PIT tag: N = 20). A full-duplex PIT tag was injected into each fish, and lengths (standard, fork, and total length) and weight were recorded. Fish remained in raceways for 36 d, after which they were retrieved, scanned, and remeasured.
There were five fish mortalities within 48 h of tagging, resulting in an 87.8% overall survival rate. There were two fish mortalities from the 8-mm tag treatment and three mortalities from the 12-mm tag treatment. One fish from each tagging treatment lost their tag, resulting in a 5.6% overall tag loss rate. The Fisher’s exact test indicated no statistically significant difference in survival or tag loss between treatments. The ordinary least squares regression detected no effect of tag size on growth for Santa Ana Suckers.
Results suggest that 8- and 12-mm PIT tags are suitable options for tagging Santa Ana Suckers measuring at least 62 and 70 mm fork length, respectively. Supplementing the current sampling strategy with PIT tags could help monitoring efforts to expand spatially and temporally while providing expanded population data to inform adaptive management actions for the Santa Ana Sucker.
Agricultural conservation practices are often used to protect stream health while continuing food production. However, recovery of stream health is often not as rapid or extensive as planned. The efficacy of practices may be improved by promoting their continued use by landowners (i.e., persistence) after cost-share contracts with government agencies end. Persistence rates and their drivers are typically unknown. Therefore, we mail-surveyed 889 landowners to understand persistence in grazing practices in southwest Virginia. Survey responses were analyzed quantitatively using logistic regression and qualitatively via coding. We found that persistence rates for vegetative practices, cattle-exclusion fencing, off-stream watering structures, and pasture management were 74%, 84%, 94%, and 94%, respectively. Both the quantitative and qualitative analyses indicated that landowner cognitions (i.e., attitudes toward practices, environment, and agencies), environmental motivations, and practice durability influence persistence. Our results highlight that persistence could be encouraged by: (1) providing targeted messaging that demonstrates persistence benefits and aligns with landowners' motivations, (2) ensuring that responsibility to maintain practices is transferred during land-tenure changes, and (3) allocating more agency funding to practice maintenance.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70201","usgsCitation":"Mouser, J.B., Dayer, A.A., Ciparis, S., Bottenfield, S., and Angermeier, P., 2025, Landowners' cognitions and motivations coupled with practice durability influence persistence in grazing agricultural conservation practices in southwest Virginia: Conservation Science and Practice, e70201, 15 p., https://doi.org/10.1111/csp2.70201.","productDescription":"e70201, 15 p.","ipdsId":"IP-165843","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498844,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498939,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70201","text":"Publisher Index Page"}],"country":"United States","state":"Virginia","otherGeospatial":"southwest Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.90759974813469,\n 36.538485100358656\n ],\n [\n -81.74021235758092,\n 36.86345360817941\n ],\n [\n -81.86094324712056,\n 37.15010067210214\n ],\n [\n -83.04433182206326,\n 36.866145988606135\n ],\n [\n -82.90759974813469,\n 36.538485100358656\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, Joshua B.","contributorId":365374,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":954234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayer, Ashley A.","contributorId":365375,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":954235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciparis, Serena","contributorId":203242,"corporation":false,"usgs":false,"family":"Ciparis","given":"Serena","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bottenfield, Sara","contributorId":365376,"corporation":false,"usgs":false,"family":"Bottenfield","given":"Sara","affiliations":[{"id":87133,"text":"Department of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":954237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":954238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273351,"text":"70273351 - 2026 - Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska","interactions":[],"lastModifiedDate":"2026-01-09T17:12:25.941374","indexId":"70273351","displayToPublicDate":"2025-12-27T11:01:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska","docAbstract":"Remote sensing can provide reliable information on river depths and this approach might be particularly valuable in areas that are difficult to survey via conventional field methods. In this study, we assessed the potential to map the bathymetry of an inaccessible proglacial river in Alaska from both aerial orthophotos and a multispectral satellite image. In addition, we evaluated a variety of depth retrieval algorithms with different input data requirements, including some methods that require field measurements of water depth for calibration and other techniques that can be applied even when such field data are not available. These approaches might enable more efficient use of remote sensing methods by resource management agencies. Our results suggest that bathymetric mapping along the turquoise-colored river we examined was not only feasible but highly accurate ( R2 up to 0.94) for both types of image data. Algorithms that use paired observations of depth and reflectance to train depth retrieval models were the most accurate, with errors on the order of 15%–20% and little or no bias. Alternative techniques based on hydraulic and statistical concepts also led to strong agreement between predicted and observed depths but were more susceptible to systematic biases toward under- or over-estimation of depth. In contrast to clear-flowing streams, bathymetric mapping in this environment was enabled by a direct relationship between the depth and brightness of the water due to scattering by suspended sediment. In selecting an appropriate depth retrieval method, a compromise might need to be reached between the level of field effort invested and the accuracy of the resulting image-derived bathymetry. Standalone software for implementing these techniques is freely available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.110140","usgsCitation":"Legleiter, C.J., Leonard, C.M., Burger, P.A., Pletcher, A.G., and Kinzel, P.J., 2026, Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska: Geomorphology, v. 495, 110140, 24 p., https://doi.org/10.1016/j.geomorph.2025.110140.","productDescription":"110140, 24 p.","ipdsId":"IP-179757","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":498513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Alaska","otherGeospatial":"Mulchatna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.00824680332022,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.789825438561536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"495","noUsgsAuthors":false,"publicationDate":"2025-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":953420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Christina M. 0000-0002-5096-8103","orcid":"https://orcid.org/0000-0002-5096-8103","contributorId":360578,"corporation":false,"usgs":false,"family":"Leonard","given":"Christina","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burger, Paul A. 0009-0005-7135-8290","orcid":"https://orcid.org/0009-0005-7135-8290","contributorId":360579,"corporation":false,"usgs":false,"family":"Burger","given":"Paul","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pletcher, Addison G. 0009-0002-3775-0852","orcid":"https://orcid.org/0009-0002-3775-0852","contributorId":360580,"corporation":false,"usgs":false,"family":"Pletcher","given":"Addison","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":953424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273358,"text":"70273358 - 2026 - Ecovoltaic solar energy development effects to microclimate, temperature, and soil moisture in panel array interspaces in a warm desert","interactions":[],"lastModifiedDate":"2026-01-09T16:31:01.019143","indexId":"70273358","displayToPublicDate":"2025-12-24T10:26:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Ecovoltaic solar energy development effects to microclimate, temperature, and soil moisture in panel array interspaces in a warm desert","docAbstract":"Solar energy development is increasing in warm deserts of the southwestern United States, and ecovoltaics has emerged as an approach to maintain ecosystem function within solar facilities while meeting increasing regional energy demands. The Solar Gemini Project, located in the northeastern Mojave Desert, USA, is one of largest photovoltaic facilities incorporating an ecovoltaics approach, including novel installation practices to reduce disturbance to soil and vegetation and solar tracking bifacial photovoltaic panels to maximize energy generation. To further understand the influence of the facility on environmental conditions, we compared microclimate, temperature, and soil moisture in bare soil interspaces between panel arrays inside the facility to undisturbed desert in nearby areas outside the facility from June 2023–February 2025. Our comparisons included different seasons (summer versus winter), soil depth (shallow versus deep), and facility operation (inactive versus active panels with solar-tracking). We found lower solar radiation, wind speed, and evaporative demand inside the facility compared to outside the facility, with greater differences when panels were actively tracking. When panels were active, air temperature inside and outside the facility was similar on average, but was higher inside the facility during the day and lower at night. Soil surface temperature was lower inside the facility due to panel shading in the morning and evening, whereas soil temperature (0–15 cm) was consistently higher inside the facility. Soil moisture was higher inside the facility and did not drop to the low levels observed outside the facility. In total, we found lower evaporative demand, less heat loading, and higher soil moisture inside the Gemini facility, potentially benefitting flora and fauna in the harsh desert landscape. Yet, we also found daytime increases in air and soil surface temperature inside the facility, and persistent increases to soil temperature. These findings highlight the potentially positive and negative environmental changes associated with ecovoltaics solar energy development in warm deserts and provide evidence that can inform the optimization of solar photovoltaics design and management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.128436","usgsCitation":"Pinos, J., Munson, S.M., Karban, C.C., and Petrie, M.D., 2026, Ecovoltaic solar energy development effects to microclimate, temperature, and soil moisture in panel array interspaces in a warm desert: Journal of Environmental Management, v. 398, 128436, 13 p., https://doi.org/10.1016/j.jenvman.2025.128436.","productDescription":"128436, 13 p.","ipdsId":"IP-180614","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Gemini Solar Project facilty","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.80278104138198,\n 36.49946370519997\n ],\n [\n -114.80278104138198,\n 36.399575927541804\n ],\n [\n -114.71715812361246,\n 36.399575927541804\n ],\n [\n -114.71715812361246,\n 36.49946370519997\n ],\n [\n -114.80278104138198,\n 36.49946370519997\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"398","noUsgsAuthors":false,"publicationDate":"2025-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Pinos, Juan","contributorId":357729,"corporation":false,"usgs":false,"family":"Pinos","given":"Juan","affiliations":[{"id":85544,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada 89154, USA","active":true,"usgs":false}],"preferred":false,"id":953429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Matthew D.","contributorId":364911,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew","middleInitial":"D.","affiliations":[{"id":87009,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA","active":true,"usgs":false}],"preferred":false,"id":953432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274529,"text":"70274529 - 2026 - Using a BACI design to assess stream ecology and chemistry response after wildfire","interactions":[],"lastModifiedDate":"2026-03-31T20:35:52.784577","indexId":"70274529","displayToPublicDate":"2025-12-23T15:33:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Using a BACI design to assess stream ecology and chemistry response after wildfire","docAbstract":"Wildfires can have complex effects on aquatic communities, which can be either beneficial or adverse depending on the setting. In California, USA, the size, frequency, and severity of wildfires has greatly increased over the last few decades. Understanding the effects of fire on aquatic ecosystem health and human land use has become increasingly important in managing the interface of the natural and urban landscape. In this study, we used a before–after control–impact (BACI) study design to test for differences in bed sediment chemistry, water chemistry, benthic algal biomass, and benthic macroinvertebrate communities between burned and unburned (control) watersheds, pre- and post-fire, using data collected before and after California’s 2017 Atlas, Nuns, and Tubbs wildfires. We found a treatment effect (burned vs control) on water chemistry, sediment trace-metal concentrations, algae, and community structure of benthic macroinvertebrates, but we found no evidence of an interaction between time period (pre- vs post-fire) and treatment. Both the difference in environmental factors between our control and burned sample sites and the proximity and degree of wildfire burn severity may have contributed to the results of this BACI study. Our results also highlight the importance of including control sites when assessing the effects of discrete disturbances, such as wildfire, to avoid spurious conclusions of disturbance effects that may be attributable to innate ecological variability.
","language":"English","publisher":"University of Chicago Press Journals","doi":"10.1086/738617","usgsCitation":"Wulff, M.L., May, J.T., Huntsman, B., Waite, I.R., and Brown, L.M., 2026, Using a BACI design to assess stream ecology and chemistry response after wildfire: Freshwater Science, v. 45, no. 1, p. 1-17, https://doi.org/10.1086/738617.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-120766","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T.","contributorId":368915,"corporation":false,"usgs":false,"family":"May","given":"Jason","middleInitial":"T.","affiliations":[{"id":34135,"text":"USGS (deceased)","active":true,"usgs":false}],"preferred":false,"id":958090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Larry M.","contributorId":184044,"corporation":false,"usgs":false,"family":"Brown","given":"Larry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":958093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273344,"text":"70273344 - 2026 - Between a rock and a hard place: Experiences of the chronic wasting disease management community","interactions":[],"lastModifiedDate":"2026-01-09T14:15:20.468262","indexId":"70273344","displayToPublicDate":"2025-12-23T10:20:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23122,"text":"Journal of Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Between a rock and a hard place: Experiences of the chronic wasting disease management community","docAbstract":"Chronic wasting disease (CWD) is a widespread and incurable cervid disease. Despite continuing investments, the logistical challenges of CWD have required wildlife managers and researchers to navigate changing priorities with conflicting public perceptions. When overcoming difficult management problems, leveraging exploratory methods may identify previously unrecognized hypotheses. In this study, we interviewed wildlife managers and researchers to describe the diverse experiences of experts in the CWD management community. Our study asked about common management strategies used, challenges experienced, and attempted to understand how decision-making in CWD management is shaped and constrained. Our study participants experienced a wide range of constraining factors, primarily related to external influences. We also identified connections between these constraints and a common concern for staff and public burnout. The results of this study provide insight on constraints limiting CWD management success and possible explanations for some commonly recognized challenges resulting from social and ecological interactions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2025.2562402","usgsCitation":"Roan, P., Milley, B., and Cole, N.W., 2026, Between a rock and a hard place: Experiences of the chronic wasting disease management community: Journal of Society and Natural Resources, https://doi.org/10.1080/08941920.2025.2562402.","ipdsId":"IP-168553","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498474,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/08941920.2025.2562402","text":"Publisher Index Page"},{"id":498385,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Roan, Patrick 0009-0003-0873-5060","orcid":"https://orcid.org/0009-0003-0873-5060","contributorId":364899,"corporation":false,"usgs":false,"family":"Roan","given":"Patrick","affiliations":[{"id":87000,"text":"Contracted by the US Geological Survey","active":true,"usgs":false}],"preferred":false,"id":953396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milley, Brad","contributorId":364900,"corporation":false,"usgs":false,"family":"Milley","given":"Brad","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":953397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Nicholas W. 0000-0003-1204-971X","orcid":"https://orcid.org/0000-0003-1204-971X","contributorId":278636,"corporation":false,"usgs":true,"family":"Cole","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953398,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273255,"text":"70273255 - 2026 - A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","interactions":[],"lastModifiedDate":"2025-12-29T15:17:40.106052","indexId":"70273255","displayToPublicDate":"2025-12-23T09:14:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","docAbstract":"Increasing levels of chloride in surface water are associated with detrimental effects on water quality, aquatic ecosystems, infrastructure, and human health. Numerous mass-balance studies have inferred watershed transport processes by interpreting chloride inputs and outputs, but few represent internal dynamics explicitly. We constructed a coupled water/chloride mass balance model to gain insights into storage, residence time, and transport processes in a 10-km2 urban watershed. The model, which operates over a 10-year period at a daily time scale, represents storage in a dynamic soil-moisture reservoir, quick-flow runoff from storm events, and slow-flow runoff that sustains streamflow in dry weather. The calibrated model accurately represented (a)the observed transition from a streamflow enrichment regime in cold months to a dilution regime in warmer months, (b) the observed tendency for late-summer concentrations to be higher after winters with heavy snowfall, and (c) a period-of-record downward trend in chloride concentration likely associated with a downward trend in annual snowfall. Estimated chloride inputs averaged 195 metric tons per year, while the average output was 270 metric tons per year. In contrast, estimated storage was only 107 metric tons. The estimated mean residence time in groundwater was 1.27 years. This short residence time indicates that efforts to reduce inputs will manifest as decreased concentrations in streamflow on a management-relevant time scale of several years. The coupled mass balance model yielded insights into internal watershed dynamics that would not be possible from simple input/output analysis; such models can be useful tools for gaining insight into small watershed hydrology and pollutant transport.
","language":"English","publisher":"MDPI","doi":"10.3390/w18010043","usgsCitation":"Chanat, J.G., and Custer, C.A., 2026, A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA: Water, v. 18, no. 1, 43, 25 p., https://doi.org/10.3390/w18010043.","productDescription":"43, 25 p.","ipdsId":"IP-184027","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":498300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18010043","text":"Publisher Index Page"},{"id":498099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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and sustainability trade-offs","interactions":[],"lastModifiedDate":"2026-01-20T15:30:26.944609","indexId":"70273476","displayToPublicDate":"2025-12-23T08:46:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","docAbstract":"Floating photovoltaics (floating solar panels; FPV) can reduce the negative impacts of solar energy development in terrestrial environments, but their effects on freshwater ecosystems remain poorly understood. We examined potential FPV interactions with avian biodiversity, using previously modeled technical potential of FPV in the northeastern United States. We developed a vulnerability index based on avian species’: (i) morphological traits, (ii) level of conservation concern, and (iii) habitat requirements. Using eBird participatory science data, we assessed the risk of FPV to 291 species of birds occurring at FPV-suitable waterbodies based on their vulnerability index and estimated relative abundance at each location. The greatest risk of FPVs to birds was associated with waterbodies near the Atlantic coast and Great Lakes, and most (80%) of these high-risk waterbodies were smaller waterbodies. Because the avian risk at FPV-suitable waterbodies was not correlated with estimated energy generation, reducing risk to birds might not require energy trade-offs. Moreover, avoiding FPV installations at waterbodies predicted to pose high risk to birds is likely to return social and recreational benefits while minimizing risk of biofouling. Our analysis provides a framework for proactively evaluating risk, reducing potential adverse impacts of FPV to birds, and identifying cobenefits of sustainable FPV siting across waterscapes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c09819","usgsCitation":"Binley, A.D., Gallaher, A., Rodewald, A.D., and Grodsky, S.M., 2026, Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs: Environmental Science and Technology, v. 60, no. 1, p. 510-621, https://doi.org/10.1021/acs.est.5c09819.","productDescription":"12 p.","startPage":"510","endPage":"621","ipdsId":"IP-181372","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498920,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c09819","text":"Publisher Index Page"},{"id":498737,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, Washington DC, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.65501641197895,\n 44.74152548184259\n ],\n [\n -67.6968245772661,\n 45.73794783309825\n ],\n [\n -67.95270949892765,\n 47.379125614743884\n ],\n [\n -69.3915223409562,\n 47.4278826893804\n ],\n [\n -70.99089733033615,\n 45.39194803042125\n ],\n [\n -71.59816120202068,\n 45.0249102712188\n ],\n [\n -74.93724052894156,\n 44.993515254035685\n ],\n [\n -76.75034686370854,\n 43.91376278161334\n ],\n [\n -78.97980279465791,\n 43.429291703689586\n ],\n [\n -78.86279954021416,\n 42.897702704595986\n ],\n [\n -79.54055781839557,\n 42.48834669405045\n ],\n [\n -80.5152362296271,\n 42.22648847140036\n ],\n [\n -80.5372853679192,\n 40.61342359980179\n ],\n [\n -81.46839017947205,\n 39.28753079607813\n ],\n [\n -82.12840686018721,\n 39.08491548516051\n ],\n [\n -82.69161741334696,\n 38.02531835066708\n ],\n [\n -82.02995782117321,\n 37.54106137435666\n ],\n [\n -83.64361903153913,\n 36.60472689492755\n ],\n [\n -75.61198709812805,\n 36.516353887422284\n ],\n [\n -74.66765042081843,\n 38.89523397600536\n ],\n [\n -73.50324716106653,\n 40.2520538786232\n ],\n [\n -71.66037271059179,\n 41.01739604846372\n ],\n [\n -70.84438505823752,\n 41.23839424240364\n ],\n [\n -69.7808356241324,\n 41.14180012249446\n ],\n [\n -69.93670062740647,\n 42.203277879766915\n ],\n [\n -70.3951271076242,\n 42.825025843792105\n ],\n [\n -69.30407208470645,\n 43.759282507474296\n ],\n [\n -66.65501641197895,\n 44.74152548184259\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Binley, Allison D.","contributorId":365181,"corporation":false,"usgs":false,"family":"Binley","given":"Allison","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallaher, Adam","contributorId":348210,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":953874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodewald, Amanda D.","contributorId":365183,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":953876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273463,"text":"70273463 - 2026 - The value of reducing uncertainties to support the management of a high‐elevation endemic salamander","interactions":[],"lastModifiedDate":"2026-01-15T15:11:14.770192","indexId":"70273463","displayToPublicDate":"2025-12-23T08:06:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The value of reducing uncertainties to support the management of a high‐elevation endemic salamander","docAbstract":"Many salamander populations are declining, and methods to determine how best to allocate limited resources to slow or reverse these declines could support land managers in their decision‐making processes. Multiple types of uncertainty may delay management decisions, including when (1) knowledge of a species' ecology is incomplete, (2) climate change effects on environmental covariates are uncertain, and (3) the efficacy of management alternatives is unknown. For management decisions, a value‐of‐information analysis can identify which uncertainties are critical to reduce in order to identify an optimal strategy from a set of possible management actions. If the same management action is optimal across the full range of uncertainties, then resources for research can be redirected toward active management. Using value‐of‐information analyses, we examine the effect of uncertainty on identifying optimal management to maximize the future expected occupancy of Plethodon shenandoah , a Federally Endangered high‐elevation endemic salamander that is threatened by climate change. Out of 11 management actions proposed by National Park Service managers, those that increase environmental moisture are expected to maximize occupancy, and we find that the selection of this action is robust to all the identified uncertainties. We show that, even in systems with multiple sources of large uncertainty, value of information analyses discriminate among investments in species management.
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A.","contributorId":365160,"corporation":false,"usgs":false,"family":"Werba","given":"Jo","middleInitial":"A.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":953820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mummah, Riley Olivia 0000-0002-4542-3483","orcid":"https://orcid.org/0000-0002-4542-3483","contributorId":342242,"corporation":false,"usgs":true,"family":"Mummah","given":"Riley","email":"","middleInitial":"Olivia","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":295466,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953822,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273277,"text":"70273277 - 2026 - Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","interactions":[],"lastModifiedDate":"2025-12-30T17:19:51.61749","indexId":"70273277","displayToPublicDate":"2025-12-22T11:14:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","title":"Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","docAbstract":"San Francisco Bay, California, typically has chlorophyll a (chl-a) concentrations below 10 µg L−1, despite nutrient loadings exceeding those in many estuaries with recurring harmful algal blooms (HABs). However, in August 2022 there was a Heterosigma akashiwo (raphidophyte) bloom with chl-a concentrations exceeding 450 µg L−1, resulting in widespread hypoxia and fish die-off. We used protist community (18S ribosomal ribonucleic acid gene metabarcoding) and environmental data collected 2–3 times per month from 2015–2023 to assess differences between 2022 and other years, and capture dynamics pre-, during, and post-bloom. The 2022 protist community clustered separately from other years in non-metric multidimensional scaling and hierarchical cluster analyses. A diatom bloom in June generated the highest median June chl-a concentration (15 µg L−1) recorded between 1977–2023 and drew down nutrients (nitrogen, silicate), leading to the establishment of a heterotrophic community in July with low dinoflagellate abundance (0.9% of protists versus 5.9% average in other years). The absence of dinoflagellates, potentially including H. akashiwo predators, plus suitable habitat (13–14 daylight hours, temperatures 17–21˚C, nitrate concentrations 17–24 µmol L−1, neap tides) likely provided opportunity for H. akashiwo to proliferate from 0.03% to 48% of protists between July 20 and August 25. As the bloom collapsed, the genus Gyrodinium (dinoflagellate predator of H. akashiwo) increased from 3.0% to 52% of protists between August 25 and August 31, likely exerting grazing pressure. Results show that antecedent protist community dynamics play important roles in shaping HABs, and interactions between biotic and abiotic factors govern the development of blooms.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-025-01629-7","usgsCitation":"Nardelli, S.C., Bouma-Gregson, K., Senn, D., Killam, D., Chelsky, A., Kress, E.S., Richardson, E.T., Otten, T., Kraus, T.E., and Bergamaschi, B.A., 2026, Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California: Estuaries and Coasts, v. 49, 39, 21 p., https://doi.org/10.1007/s12237-025-01629-7.","productDescription":"39, 21 p.","ipdsId":"IP-176080","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01629-7","text":"Publisher Index Page"},{"id":498161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -122.64535245048378,\n 38.189646145715784\n ],\n [\n -122.64535245048378,\n 37.371586670346176\n ],\n [\n -121.58067551793042,\n 37.371586670346176\n ],\n [\n -121.58067551793042,\n 38.189646145715784\n ],\n [\n -122.64535245048378,\n 38.189646145715784\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nardelli, Schuyler Crain 0000-0001-7926-9018","orcid":"https://orcid.org/0000-0001-7926-9018","contributorId":364651,"corporation":false,"usgs":true,"family":"Nardelli","given":"Schuyler","middleInitial":"Crain","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senn, David 0000-0002-4869-3550","orcid":"https://orcid.org/0000-0002-4869-3550","contributorId":329401,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Killam, Daniel 0000-0001-7569-1828","orcid":"https://orcid.org/0000-0001-7569-1828","contributorId":364654,"corporation":false,"usgs":false,"family":"Killam","given":"Daniel","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chelsky, Ariella 0000-0002-4363-3401","orcid":"https://orcid.org/0000-0002-4363-3401","contributorId":364655,"corporation":false,"usgs":false,"family":"Chelsky","given":"Ariella","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kress, Erica S. 0000-0001-8204-6368 ekress@usgs.gov","orcid":"https://orcid.org/0000-0001-8204-6368","contributorId":4859,"corporation":false,"usgs":true,"family":"Kress","given":"Erica","email":"ekress@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Emily T. 0000-0003-2696-8266","orcid":"https://orcid.org/0000-0003-2696-8266","contributorId":304430,"corporation":false,"usgs":true,"family":"Richardson","given":"Emily","email":"","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Otten, Timothy","contributorId":173804,"corporation":false,"usgs":false,"family":"Otten","given":"Timothy","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":953010,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953011,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953012,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273446,"text":"70273446 - 2026 - An analysis of the linked decisions in the confiscation of illegally traded turtles","interactions":[],"lastModifiedDate":"2026-02-24T16:39:30.348704","indexId":"70273446","displayToPublicDate":"2025-12-22T08:46:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of the linked decisions in the confiscation of illegally traded turtles","docAbstract":"Over the last few decades, freshwater turtles have become more common in the illegal wildlife trade because of growing global demand. Illegally traded turtles may be intercepted by several different agencies with separate jurisdictions. When turtles are confiscated, uncertainties may make releasing them back to the wild difficult. We used tools from decision analysis to achieve the following three objectives: (1) map elements of the decision process and their relationships in the illegal turtle trade using conceptual models, (2) outline the linked decisions for turtle confiscation and repatriation using decision trees, and (3) evaluate the decision trees for two example scenarios, one with moderate uncertainty and one with high uncertainty. We used the wood turtle (Glyptemys insculpta) as a case study, which is a species of conservation concern in part due to illegal wildlife trafficking. We conducted 23 semi-structured interviews of decision makers in law enforcement, biologists, land managers, and zoo staff. Interviews revealed that decisions regarding the disposition of confiscated turtles are complicated by uncertainty in disease status and origin. Decision makers that handle confiscated turtles also recognize that their decisions are often made in sequence and dependent on the outcome of antecedent decisions. In evaluating our decision trees, we found that the optimal decisions for example scenarios were similar and insensitive to uncertainty. Future applications of the decision trees by decision makers would involve a decision analyst to parameterize and interpret the choices and consequences involved in working through these decision trees. Collectively, our work shows how the use of decision trees can help structure and evaluate risky decisions for repatriating confiscated wildlife.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70165","usgsCitation":"Smith, D., DiRenzo, G.V., Fleming, J.E., McEachran, M.C., and Campbell Grant, E.H., 2025, An analysis of the linked decisions in the confiscation of illegally traded turtles: Conservation Science and Practice, e70165, 12 p., https://doi.org/10.1111/csp2.70165.","productDescription":"e70165, 12 p.","ipdsId":"IP-166499","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498702,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70165","text":"Publisher Index Page"},{"id":498616,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.61952248598104,\n 51.579179045299185\n ],\n [\n -97.61952248598104,\n 37.42140161216963\n ],\n [\n -66.83408644894973,\n 37.42140161216963\n ],\n [\n -66.83408644894973,\n 51.579179045299185\n ],\n [\n -97.61952248598104,\n 51.579179045299185\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Desireé","contributorId":365126,"corporation":false,"usgs":false,"family":"Smith","given":"Desireé","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V.","contributorId":365127,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEachran, Margaret C.","contributorId":365130,"corporation":false,"usgs":false,"family":"McEachran","given":"Margaret","middleInitial":"C.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953737,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273308,"text":"70273308 - 2026 - Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience","interactions":[],"lastModifiedDate":"2026-01-06T14:49:27.601532","indexId":"70273308","displayToPublicDate":"2025-12-22T08:42:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience","docAbstract":"Momentum is growing for the management of coral reefs as a strategy to reduce climate risks in tropical coastlines. Yet, quantification of the life-time costs, impacts, and benefits remains limited. This study provides one of the first rigorous, spatially explicit, regional-scale Benefit:Cost Analyses (BCA) for coral reef restoration and was designed to meet the BCA requirements of major hazard mitigation funding and programs. This study simulates coastal flooding using a hydrodynamic model under different scenarios representing current coral reef conditions, reef degradation, and reef restoration. These coastal flood maps are used to estimate socioeconomic damages, which are included in a BCA to assess cost-effectiveness and priority areas for coral reef conservation and restoration. The United States Virgin Islands is used as a case study given recent impacts from storms and their new policy that declares reefs as natural infrastructure. The results show that flood risk across the islands of Saint Croix, Saint John, and Saint Thomas is $51.4 million USD per year. Annually, coral reefs prevent flood damages to 481 people and $43.6 million USD of infrastructure, which represents 87 % of the flood risk. These results identify the communities that could receive the greatest benefits from coral conservation and restoration, which overlap significantly. Coral reef restoration is found to be a cost-effective strategy for flood mitigation although how reefs are restored matters. Hybrid coral reef restoration provides greater flood mitigation benefits than ecological restoration, but its cost-effectiveness is overall lower given its greater costs. Many coastal areas have benefit:cost ratios exceeding 1.5, which complies with typical government agencies’ requirements for accessing hazard mitigation funds. This valuation framework helps provide rigorous regional-scale quantification of nature-based coastal protection solutions for coastal risk management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.128166","usgsCitation":"Reguero, B., Gaido-Lassare, C., Storlazzi, C.D., McNulty, V., Perez, D., and Beck, M.W., 2026, Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience: Journal of Environmental Management, v. 397, 128166, 15 p., https://doi.org/10.1016/j.jenvman.2025.128166.","productDescription":"128166, 15 p.","ipdsId":"IP-170993","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.65441321858593,\n 18.38265061411741\n ],\n [\n -65.08683971208158,\n 18.38265061411741\n ],\n [\n -65.08683971208158,\n 18.287140701134334\n ],\n [\n -64.65441321858593,\n 18.287140701134334\n ],\n [\n -64.65441321858593,\n 18.38265061411741\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.91799534519654,\n 17.811855495330647\n ],\n [\n -64.91799534519654,\n 17.657306327448765\n ],\n [\n -64.54674404449649,\n 17.657306327448765\n ],\n [\n -64.54674404449649,\n 17.811855495330647\n ],\n [\n -64.91799534519654,\n 17.811855495330647\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":953291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaido-Lassare, Camila","contributorId":364839,"corporation":false,"usgs":false,"family":"Gaido-Lassare","given":"Camila","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":953292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNulty, Valerie","contributorId":341998,"corporation":false,"usgs":false,"family":"McNulty","given":"Valerie","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":953294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Denise","contributorId":341897,"corporation":false,"usgs":false,"family":"Perez","given":"Denise","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":953295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":953296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273304,"text":"70273304 - 2026 - Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland","interactions":[],"lastModifiedDate":"2026-01-06T15:30:32.550008","indexId":"70273304","displayToPublicDate":"2025-12-18T09:23:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland","docAbstract":"Wetlands have spatially and temporally dynamic nitrous oxide (N2O) fluxes. Understanding diurnal patterns in N2O fluxes in wetlands can reveal short-term drivers and improve process-based models. An automated chamber system was used to determine N2O flux rates every 2.5 to 4 h in a prairie pothole wetland in North Dakota during the 2013 to 2014 growing seasons under ponded, moist, and dry soil conditions. The wetland generally emitted N2O under all conditions, although median fluxes during ponded conditions were low over the two-year study. A significant diurnal N2O pattern was observed under dry soil conditions, but not in moist soil or ponded conditions. When soils were dry, daytime (~ 10:00–14:00; 2.43 ± 0.31 ng m-2 hr-1) and late-day (~ 14:00–18:00; 2.20 ± 0.16 ng m-2 hr-1) average N2O fluxes were 77% and 61% greater, respectively, than other times during the 24-hr diel cycle (< 1.37 ng m-2 hr-1). N2O flux was positively correlated to air (r = 0.58) and soil (r = 0.49) temperatures under dry conditions, while no significant correlations to environmental factors were observed under ponded and moist conditions. Incorporating diurnal patterns in N2O fluxes in wetlands and other ecosystems can improve extrapolations from daily to annual flux calculations and constrain global N2O inventories.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-025-02017-4","usgsCitation":"Faust, D.R., Tangen, B., and Bansal, S., 2026, Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland: Wetlands, v. 46, 1, 12 p., https://doi.org/10.1007/s13157-025-02017-4.","productDescription":"1, 12 p.","ipdsId":"IP-175229","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.12,\n 47.12\n ],\n [\n -99.12,\n 47.09\n ],\n [\n -99.09,\n 47.09\n ],\n [\n -99.09,\n 47.12\n ],\n [\n -99.12,\n 47.12\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","noUsgsAuthors":false,"publicationDate":"2025-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Faust, Derek R.","contributorId":68232,"corporation":false,"usgs":true,"family":"Faust","given":"Derek","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":953286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":216177,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273376,"text":"70273376 - 2026 - Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","interactions":[],"lastModifiedDate":"2026-01-09T16:48:56.879977","indexId":"70273376","displayToPublicDate":"2025-12-17T10:44:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23125,"text":"Science of the Total Environment.","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","docAbstract":"This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm. A machine learning model based on Variational Autoencoder (VAE), globally applicable, was used to estimate phytoplankton biomass via chlorophyll-a (Chl-a) from Sentinel 2-MSI and NASA's new hyperspectral mission, PACE-OCI, enabling the first direct comparison between the two sensors. The model performed well in this complex estuarine system, with higher accuracy from PACE-OCI (MAE: 1.48, RMSE: 10.40, slope: 0.87) than Sentinel 2-MSI (MAE: 1.57, RMSE: 11.08, slope: 0.83). This approach enabled continuous high-resolution monitoring of phytoplankton biomass across space and time. Comparative analysis of 2019, a wet year with Bonnet Carré Spillway (BCS) openings, and 2023, a dry year with extremely low riverine inputs, revealed distinct biomass dynamics. In 2019, BCS discharge initially suppressed Chl-a within turbid waters (<5 mg Chl-a m−3) but later acted as a nutrient and hydrodynamic driver, transporting nutrients toward the lake outlet and Mississippi coast, promoting high biomass (25–45 mg Chl-a m−3) near the entrance. In contrast, dry conditions in 2023 led to more frequent-than-expected high biomass (>35 mg Chl-a m−3), persisting in the lake center. Similar spatial patterns were observed again in 2024, revealed for the first time by PACE-OCI. This study demonstrates the value of satellite-derived observations for capturing transient phytoplankton biomass events and highlights the potential of PACE-OCI's hyperspectral capabilities to better distinguish phytoplankton communities and improve understanding of their responses to freshwater inflows and associated processes driving pulses into estuaries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.181126","usgsCitation":"Shrestha, S., Liu, B., Li, J., Huang, W., Baustian, M.M., D'Sa, E.J., Bargu, S., Messina, F., Georgiou, I.Y., Kumar, A., Freeman, A., and Mize, S., 2026, Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations: Science of the Total Environment., v. 1011, 181126, 18 p., https://doi.org/10.1016/j.scitotenv.2025.181126.","productDescription":"181126, 18 p.","ipdsId":"IP-182233","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.181126","text":"Publisher Index Page"},{"id":498512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Pontchartrain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.49105160076985,\n 30.53601815810063\n ],\n [\n -90.49105160076985,\n 30.005844220801436\n ],\n [\n -89.67986096368708,\n 30.005844220801436\n ],\n [\n -89.67986096368708,\n 30.53601815810063\n ],\n [\n -90.49105160076985,\n 30.53601815810063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1011","noUsgsAuthors":false,"publicationDate":"2025-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Shiwani","contributorId":364939,"corporation":false,"usgs":false,"family":"Shrestha","given":"Shiwani","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":953503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, 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events","interactions":[],"lastModifiedDate":"2025-12-22T15:45:49.089097","indexId":"70273229","displayToPublicDate":"2025-12-17T09:41:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Changing dynamic phosphorus forms from field to stream during surface runoff events","docAbstract":"The risk of water quality impairment from agricultural runoff depends on nutrient source, transport, and bioavailability. Phosphorus (P) spirals between dissolved and particulate forms as it is transported with suspended sediment (SS) from agricultural fields, through the stream network, to receiving water bodies. This dynamic sorption-desorption influences bioavailability. We quantified P form and abundance in samples collected during surface-runoff events from a farm field in the East River Basin, Wisconsin and compared them to those in stream water collected from the East River. We sampled five events between late March 2022 and June 2023. During most events, P in surface runoff was mainly in dissolved form, with particulate P sorbed to fine clay, the most abundant particle fraction transported from the field, whereas P in stream water was mainly in particulate form and sorbed to silt, even though fine clay was the most abundant particle fraction in the stream during events. Overall capacity for P sorption to SS in the stream varied among events. Total P and SS concentrations were lower during summer baseflow conditions and smaller surface runoff events; however, what SS was present was more P enriched. This shift in P form from field to stream indicates a potential for sorbing dissolved P to SS during transport through the stream network, which changes the bioavailability of P exported downstream with less bioavailable P as dissolved P binds to SS.
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Although the significance of infection to fish health remains unclear, understanding the disease ecology of these viruses can inform biosecurity and the interjurisdictional movement of individuals. Moreover, as hyperpigmentation in other fish species is often idiopathic, our findings reframe perspectives for future investigations into this clinical presentation in other species.
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This is important for many reasons, including that feedbacks between the social and ecological dimensions lead to difficult-to-predict, often entirely unexpected, outcomes and because many management and governance systems have multiple objectives that can involve social (e.g. fisher satisfaction), economic (e.g. license revenue), and ecological (e.g. fish conservation) dimensions. Embracing a social-ecological-system perspective can usher in an improved era of recreational fisheries science and management. Interdisciplinary approaches that unite experts across disciplines (e.g. social and ecological sciences) to create a unique theoretical, conceptual, and methodological identity are needed to gather crucial information from recreational fishers, quantify and predict fisher behaviours and outcomes from these behaviours, and integrate these findings into fisheries management. In this chapter, we lay the conceptual foundation for recreational fisheries as coupled social-ecological systems that are also complex and adaptive, and discuss the interdisciplinary approach to operationalize this book’s vision.
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