{"pageNumber":"18","pageRowStart":"425","pageSize":"25","recordCount":68790,"records":[{"id":70271701,"text":"70271701 - 2025 - Satellite tracking reveals heavy use of local MPAs by green turtles (Chelonia mydas) nesting in southeast Florida, USA","interactions":[],"lastModifiedDate":"2025-09-19T14:49:14.117443","indexId":"70271701","displayToPublicDate":"2025-09-02T09:44:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Satellite tracking reveals heavy use of local MPAs by green turtles (<i>Chelonia mydas</i>) nesting in southeast Florida, USA","title":"Satellite tracking reveals heavy use of local MPAs by green turtles (Chelonia mydas) nesting in southeast Florida, USA","docAbstract":"<p><span>Florida hosts a regionally important nesting aggregation of green turtles (</span><i>Chelonia mydas</i><span>) in the North Atlantic, yet internesting and post-nesting movements for this rookery remain poorly understood. Here, we used satellite telemetry to track 23 green turtles nesting on southeast Florida beaches from 2017 to 2021 to investigate their spatial ecology and use of marine protected areas (MPAs) during internesting, migration, and foraging. Marine protected areas are widely used in marine conservation and can be powerful tools for managing species and protecting biodiversity. During internesting, turtles used nearshore, unprotected coastal waters adjacent to the study site. After the nesting season, turtles migrated 24.1 to 203.5&nbsp;km to previously identified foraging grounds, including areas within Biscayne National Park and Florida Keys National Marine Sanctuary, as well as a high-use but unprotected area off Cape Sable, Florida. Throughout the internesting and foraging periods, turtles exhibited little spatial overlap of core-use areas, suggesting limited space-use sharing even in high-density regions. This study provides the first satellite telemetry dataset for green turtles from southeast Florida and reveals their strong reliance on a relatively small MPA network along southwest Florida. Our findings underscore how these MPAs can support conservation efforts for Florida’s overall green turtle nesting population, while further emphasizing the potential benefits of expanded protections in key areas to safeguard regionally important green turtle habitat.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00227-025-04694-5","usgsCitation":"Goodwin, G.D., Hart, K., Evans, A.C., and Burkholder, D.A., 2025, Satellite tracking reveals heavy use of local MPAs by green turtles (Chelonia mydas) nesting in southeast Florida, USA: Marine Biology, v. 172, no. 10, 153, 13 p., https://doi.org/10.1007/s00227-025-04694-5.","productDescription":"153, 13 p.","ipdsId":"IP-173964","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":495795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83,\n              26.5\n            ],\n            [\n              -83,\n              24\n            ],\n            [\n              -80,\n              24\n            ],\n            [\n              -80,\n              26.5\n            ],\n            [\n              -83,\n              26.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"172","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodwin, Glenn D.","contributorId":361599,"corporation":false,"usgs":false,"family":"Goodwin","given":"Glenn","middleInitial":"D.","affiliations":[{"id":81512,"text":"Halmos College of Arts and Sciences, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":949064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Abby C.","contributorId":361600,"corporation":false,"usgs":false,"family":"Evans","given":"Abby","middleInitial":"C.","affiliations":[{"id":81512,"text":"Halmos College of Arts and Sciences, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":949066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkholder, Derek A. 0000-0001-6315-6932","orcid":"https://orcid.org/0000-0001-6315-6932","contributorId":289783,"corporation":false,"usgs":false,"family":"Burkholder","given":"Derek","email":"","middleInitial":"A.","affiliations":[{"id":62249,"text":"Halmos College of Natural Sciences and Oceanography, Department of Marine and Environmental Science, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":949067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268422,"text":"70268422 - 2025 - USGS water resource investigations and activities","interactions":[],"lastModifiedDate":"2026-03-16T15:30:22.044534","indexId":"70268422","displayToPublicDate":"2025-09-01T10:23:28","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"title":"USGS water resource investigations and activities","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The 2024 annual report of the International Red River Watershed Board","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"International Joint Commission","usgsCitation":"Thomas, D., 2025, USGS water resource investigations and activities: Annual Report, v. 25, 15 p.","productDescription":"15 p.","startPage":"88","endPage":"102","ipdsId":"IP-179575","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":501179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501178,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ijc.org/en/rrb/irrwb-annual-report-2024"}],"volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Daniel C 0009-0005-7051-9670","orcid":"https://orcid.org/0009-0005-7051-9670","contributorId":357351,"corporation":false,"usgs":true,"family":"Thomas","given":"Daniel C","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941274,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70271265,"text":"70271265 - 2025 - Comparison of creek and bay influences on salt marsh sediment budget and deposition patterns","interactions":[],"lastModifiedDate":"2025-09-03T15:37:29.40376","indexId":"70271265","displayToPublicDate":"2025-09-01T08:31:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of creek and bay influences on salt marsh sediment budget and deposition patterns","docAbstract":"<p><span>The resilience of salt marshes with low organic production depends on their effective capture and retention of mineral sediment from adjacent waters. Little prior work has directly compared mechanisms of sediment import from wave-influenced marsh boundaries against those of tidal creeks. We used simultaneous deployment of net-deposition tiles and oceanographic sensors to identify the timing and magnitude of sediment import/export to, and redistribution within, a marsh in south San Francisco Bay. As the marsh has both an eroding bay-exposed scarp and a prominent tidal creek, we investigated the mechanisms and magnitudes of sediment import from the marsh-bay versus the marsh-creek interface. The strong daily sea breezes of the summer season produced most of the wave-driven erosion of the marsh scarp and controlled suspended sediment concentrations; the winter season had weaker winds punctuated by a few storms. A large seasonal difference in suspended sediment concentrations influenced both flood and ebb sediment fluxes to the marsh and led to much higher rates of import in the summer. Both bay-side and creek-side processes were important to total marsh sediment budget. Bay-side sediment contributions were more variable in time due to the bay-influenced environment, and creek-side contributions were overall larger, reflecting the large proportion of the marsh fed by creek water. Sediment was redistributed throughout the system, with erosion near the bay-edge, accretion near the creek-edge and slow import to the marsh interior. The marsh was net importing sediment in the summer and exporting in the winter from different rates of these processes; on an annual scale, the marsh was net importing despite rapid lateral marsh loss. These findings emphasize that a positive sediment budget does not imply a stable marsh and that both creek- and edge-side dynamics are important for marsh sedimentation and geomorphic trajectories. Further, we expand understandings of non-storm and seasonal controls on marsh sedimentation.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.70137","usgsCitation":"WinklerPrins, L.T., Lacy, J.R., Stacey, M.T., Thorne, K., Bristow, M.L., and Jones, S., 2025, Comparison of creek and bay influences on salt marsh sediment budget and deposition patterns: Earth Surface Processes and Landforms, v. 50, no. 11, e70137, 19 p., https://doi.org/10.1002/esp.70137.","productDescription":"e70137, 19 p.","ipdsId":"IP-167923","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70137","text":"Publisher Index Page"},{"id":495152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay, Whales Tail Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.1656695070773,\n              37.58939504635727\n            ],\n            [\n              -122.1656695070773,\n              37.53784183376638\n            ],\n            [\n              -122.10301033557374,\n              37.53784183376638\n            ],\n            [\n              -122.10301033557374,\n              37.58939504635727\n            ],\n            [\n              -122.1656695070773,\n              37.58939504635727\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"WinklerPrins, Lukas T. 0000-0003-0508-1455","orcid":"https://orcid.org/0000-0003-0508-1455","contributorId":304096,"corporation":false,"usgs":false,"family":"WinklerPrins","given":"Lukas","email":"","middleInitial":"T.","affiliations":[{"id":65968,"text":"UC Berkeley, contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":947814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":947815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stacey, Mark T.","contributorId":360868,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark","middleInitial":"T.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":947816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":947817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bristow, McKenna Leigh 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":330403,"corporation":false,"usgs":true,"family":"Bristow","given":"McKenna","middleInitial":"Leigh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":947818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":947819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271905,"text":"70271905 - 2025 - A spatiotemporal deep learning approach for predicting daily air-water temperature signal coupling and identification of key watershed physical parameters in a montane watershed","interactions":[],"lastModifiedDate":"2025-09-24T15:03:35.249606","indexId":"70271905","displayToPublicDate":"2025-09-01T07:53:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A spatiotemporal deep learning approach for predicting daily air-water temperature signal coupling and identification of key watershed physical parameters in a montane watershed","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><div id=\"sp0010\" class=\"u-margin-s-bottom\">Seasonal shifts from runoff to groundwater dominance influence daily headwater stream temperatures, especially where local groundwater input is strong. This input buffers temperature during hot periods, supporting cold-water habitats. Recent studies use air–water temperature signal metrics to identify zones of strong stream–groundwater connectivity. While Previous studies used air–water signal ratios as proxies for groundwater influence but were limited to specific sites and periods, without dynamic forecasting. This study is the first to forecast daily A<sub>r</sub><span>&nbsp;</span>as a spatiotemporal signal using a Graph Convolutional Network–Long Short-Term Memory (GCN-LSTM) model. The model was trained using hydroclimate data (air temperature, precipitation, shortwave radiation, streamflow) and watershed physical features (e.g., sand content, slope). Results showed high predictive skill, achieving R<sup>2</sup><span>&nbsp;</span>(NSE, RMSE) of 0.86 (0.73, 0.0004) for one-day-ahead to 0.52 (0.50, 0.0009) for seven-days ahead forecasts. Prior studies often have not explicitly incorporated spatial hydrogeologic drivers, but this model explicitly incorporates them to assess their impact on A<sub>r</sub><span>&nbsp;</span>forecasting and stream-groundwater connectivity. Feature analysis identified mean sand, elevation, slope, clay, and TWI as key predictors of A<sub>r</sub>. Stronger groundwater signals appeared in hillslopes, elevations, and tributaries, highlighting watershed influence on streamflow. However, limitations include reliance on historical air–water temperature patterns for training and limited representation of extreme climate conditions. Despite these limitations, unlike previous studies relying on measured in-situ stream and air temperature, this study forecasts A<sub>r</sub><span>&nbsp;</span>directly from climate and physiographic features after training, avoiding in-situ data requirements. Findings aiding predictions of stream ecosystem resilience.</div></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.134139","usgsCitation":"Behbahani, M.M., Rey, D., Briggs, M.A., and Bagtzoglou, A., 2025, A spatiotemporal deep learning approach for predicting daily air-water temperature signal coupling and identification of key watershed physical parameters in a montane watershed: Journal of Hydrology, v. 663, no. Part A, 134139, 19 p., https://doi.org/10.1016/j.jhydrol.2025.134139.","productDescription":"134139, 19 p.","ipdsId":"IP-179249","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Mountains, Neversink Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.69400801951441,\n              41.887423086620345\n            ],\n            [\n              -74.69400801951441,\n              41.80926107332698\n            ],\n            [\n              -74.6046721617594,\n              41.80926107332698\n            ],\n            [\n              -74.6046721617594,\n              41.887423086620345\n            ],\n            [\n              -74.69400801951441,\n              41.887423086620345\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"663","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Behbahani, Mohammad  Reza M.","contributorId":361730,"corporation":false,"usgs":false,"family":"Behbahani","given":"Mohammad  Reza","middleInitial":"M.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":949327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":949328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":210069,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":949329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios","contributorId":361732,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":949330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273980,"text":"70273980 - 2025 - 3D habitat complexity and coral morphology modulate reef fish functional structure in a marine national park","interactions":[],"lastModifiedDate":"2026-02-24T14:58:17.527534","indexId":"70273980","displayToPublicDate":"2025-09-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"3D habitat complexity and coral morphology modulate reef fish functional structure in a marine national park","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The ongoing degradation of coral reef habitats is widely acknowledged to have adverse effects on the abundance and diversity of reef fish populations, yet the direct effects on ecosystem functions remain uncertain. This study used a quantitative approach to determine the mechanistic links between fish assemblages and ecological function. We investigated the effects of 3D habitat structure and coral morphology on the ecological, behavioral, and morphological functional traits of reef fish within a protected marine national park. Fish traits such as Gregariousness, Water Column Position, and Body Shape were identified to be highly influential in shaping the multidimensional fish functional space, which was categorized into 10 Fish Functional Groups (FFG). Furthermore, habitat complexity and coral morphology significantly explained the abundances of eight out of 10 FFG. Notably, the habitat complexity metrics of Slope and Surface Complexity, along with coral morphologies of Branching and Mounding types, emerged as the most influential habitat features across FFG. Pairing Compressiform species and Schooling Short/Deep species, for example, significantly increased in abundance on substrate with higher Slopes and increased percentages of branching coral cover. Additionally, Cryptic and Nocturnal species exhibited statistically significant associations with all coral morphologies and substrates with high trait values of Slope and Curvature. Elucidating ecological drivers of specific functional groups of reef fish is critical for determining how changes in reef composition and structure will alter fish assemblages. Broad scale patterns were also detected, suggesting that although structural complexity is important, live coral morphologies have a greater positive impact on reef fish functional groups. These findings have direct implications for conservation and monitoring efforts, offering valuable insights for predicting the impacts of environmental change on community dynamics and ecosystem functioning.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71992","usgsCitation":"Ferreira, S.B., Burns, J.H., Fukunaga, A., Raz, L., McKenna, S.A., Annandale, K., Monello, R.J., 2025, 3D habitat complexity and coral morphology modulate reef fish functional structure in a marine national park: Ecology and Evolution, v. 15, no. 9, e71992, 16 p., https://doi.org/10.1002/ece3.71992.","productDescription":"e71992, 16 p.","ipdsId":"IP-174520","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500601,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71992","text":"Publisher Index Page"},{"id":500436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","city":"Kailua-Kona","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.0727322749224,\n              19.716285054970754\n            ],\n            [\n              -156.0727322749224,\n              19.58261325737645\n            ],\n            [\n              -155.92066431233505,\n              19.58261325737645\n            ],\n            [\n              -155.92066431233505,\n              19.716285054970754\n            ],\n            [\n              -156.0727322749224,\n              19.716285054970754\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ferreira, Sofia B.","contributorId":366488,"corporation":false,"usgs":false,"family":"Ferreira","given":"Sofia","middleInitial":"B.","affiliations":[],"preferred":false,"id":955983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, John H.R.","contributorId":366489,"corporation":false,"usgs":false,"family":"Burns","given":"John","middleInitial":"H.R.","affiliations":[],"preferred":false,"id":955984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fukunaga, Atsuko","contributorId":366490,"corporation":false,"usgs":false,"family":"Fukunaga","given":"Atsuko","affiliations":[],"preferred":false,"id":955985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raz, Lillian Joy Tuttle 0000-0002-5009-8080","orcid":"https://orcid.org/0000-0002-5009-8080","contributorId":354940,"corporation":false,"usgs":true,"family":"Raz","given":"Lillian Joy Tuttle","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, Sheila A.","contributorId":366491,"corporation":false,"usgs":false,"family":"McKenna","given":"Sheila","middleInitial":"A.","affiliations":[],"preferred":false,"id":955987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Annandale, Kailea","contributorId":366492,"corporation":false,"usgs":false,"family":"Annandale","given":"Kailea","affiliations":[],"preferred":false,"id":955988,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monello, Ryan J.","contributorId":366493,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","middleInitial":"J.","affiliations":[],"preferred":false,"id":955989,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70271342,"text":"70271342 - 2025 - Refining PAH and PCB bioavailability predictions in industrial sediments using source-fingerprinting, particle size, and bulk carbon, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2025-09-08T15:39:35.751285","indexId":"70271342","displayToPublicDate":"2025-08-30T08:34:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Refining PAH and PCB bioavailability predictions in industrial sediments using source-fingerprinting, particle size, and bulk carbon, Puget Sound, Washington","docAbstract":"<p><span>Nearshore marine sediments in a Puget Sound, Washington industrial embayment had elevated levels of PAHs, PCBs and DDTs. Chemical fingerprints implicated nearshore sources including creosote, industrial oil and tar waste, and a landfill. Elevated concentrations were confined to an approximate 300-m shoreline buffer in the industrial waterfront, suggesting high site fidelity and limited along-shore or off-shore transport. Total PAH concentrations approximately doubled when including alkylated compounds. The industrial sediments often exceeded toxicity criteria; however, chemicals were likely less bioavailable than predicted, in part, due to assumed strong sorption to anthropogenic carbon like coal tar. Analyses of separated particle-size fractions showed that approximately half of PAHs were associated with particles greater than 500&nbsp;μm, suggesting that a wide range of particle sizes are relevant to occurrence and transport. Predicted freely dissolved chemical concentrations in sediment pore water were unrealistically high using a bulk organic carbon sorption coefficient. When reduced to environmentally reasonable levels by applying a high-sorption partition coefficient applicable to contaminated sediments, predicted freely dissolved concentrations in some industrial sediments exceeded sublethal effect levels or surface water quality standards. Chemical assemblages predicted in the freely dissolved aqueous fraction, which is relevant for biotic uptake from water, shifted to predominantly low molecular weight as compared to sediment, highlighting the role of exposure pathways in bioavailability. Insights from chemical fingerprinting coupled with co-analysis of bulk carbon and grain size allowed refinement of bioavailability assessments of complex chemical mixtures in contaminated nearshore environments that are relevant for ecosystem health and restoration.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2025.118634","usgsCitation":"Conn, K., Spanjer, A.R., and Takesue, R., 2025, Refining PAH and PCB bioavailability predictions in industrial sediments using source-fingerprinting, particle size, and bulk carbon, Puget Sound, Washington: Marine Pollution Bulletin, v. 222, no. 1, 118634, 13 p., https://doi.org/10.1016/j.marpolbul.2025.118634.","productDescription":"118634, 13 p.","ipdsId":"IP-179381","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":495383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2025.118634","text":"Publisher Index Page"},{"id":495222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.5803557715652,\n              48.71546982579352\n            ],\n            [\n              -122.5803557715652,\n              48.62987350152983\n            ],\n            [\n              -122.45585962195041,\n              48.62987350152983\n            ],\n            [\n              -122.45585962195041,\n              48.71546982579352\n            ],\n            [\n              -122.5803557715652,\n              48.71546982579352\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"222","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conn, Kathleen 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":214913,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takesue, Renee 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":214915,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270765,"text":"sir20255077 - 2025 - Fluvial sediment dynamics in the Shoshone River and tributaries around Willwood Dam, Park County, Wyoming","interactions":[],"lastModifiedDate":"2026-02-03T15:17:46.175988","indexId":"sir20255077","displayToPublicDate":"2025-08-29T11:03:01","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5077","displayTitle":"Fluvial Sediment Dynamics in the Shoshone River and Tributaries Around Willwood Dam, Park County, Wyoming","title":"Fluvial sediment dynamics in the Shoshone River and tributaries around Willwood Dam, Park County, Wyoming","docAbstract":"<p>Sedimentation affects many of the aging reservoirs in the United States. Dams and water diversions from rivers have been central elements of infrastructure supporting agricultural irrigation in the arid and semiarid regions of the Western United States for more than a century. The Willwood Irrigation District diversion dam (hereafter referred to as “Willwood Dam”) in Park County, Wyoming, is approximately 12 miles northeast of Cody, Wyo.; has a structural height of 70 feet; and impounds the Shoshone River for diversion into the Willwood Canal. Willwood Dam is part of a larger irrigation scheme supported by water storage in the much larger Buffalo Bill Dam, which is approximately 20 miles upstream. In October 2016, renovation construction activities at Willwood Dam and the Willwood Canal caused an unplanned evacuation of nearly 96,000 cubic yards of fine sediment.</p><p>The fine sediment release in 2016 raised concerns that ongoing sediment management at Willwood Dam could impose limits on the long-term health of the aquatic ecosystem and fish populations. The U.S. Geological Survey, in cooperation with Wyoming Department of Environmental Quality and Willwood Work Groups 2 and 3, initiated an investigation of the dynamics of sediment transport in the Shoshone River and selected tributaries between Buffalo Bill Dam and Willwood Dam. The goal of the study was to quantify sediment transport into and out of Willwood Dam on an annual, seasonal, and event basis to better understand the relative quantities of sediment coming from natural sources and human activities on the landscape. The study ran from March 2019 through October 2021 and used observations of streamflow, turbidity, and acoustic backscatter collected at streamgages upstream and downstream from Willwood Dam to quantify suspended-sediment loads into and out of the dam during irrigation and fallow seasons, precipitation-runoff events, and deliberate sediment releases. Each tributary’s relative contribution to the sediment load upstream from Willwood Dam was examined using discrete measurements of suspended-sediment concentration and bedload during irrigation and fallow seasons, precipitation events, and stable conditions.</p><p>Analysis of daily precipitation and temperature data indicated that conditions in the study area during the 2019 agricultural year were wetter and colder than period of record normal, and drier and near normal temperatures for the 2020 and 2021 agricultural years. Not all sediment load records between 2019 and 2021 are complete because of rejected observations (outliers), instrument failures or fouling, and instrument removal for calibrations.</p><p>Statistical modeling of suspended-sediment concentration using paired values of turbidity and acoustic backscatter produced four models that, after refinement, had coefficients of determination indicating that more than 84 percent of the variance was explained by either turbidity or acoustic backscatter. A system of rules was developed to select the model predictions based on the seasonal operations of Willwood Dam, assumptions about the grain sizes mobilized during these operations, and assumed accuracy of the models at the downstream streamgage (Shoshone River below Willwood Dam, near Ralston, Wyo. [streamgage 06284010]) under different operational conditions. The sediment budget between upstream and downstream estimates of loads was interpreted using the mean predicted values bound by their respective model prediction intervals. When mean predicted loads of one streamgage were contained in the prediction intervals of the other streamgage, and vice-versa, difference in the sediment budget were interpreted as “indeterminate.”</p><p>Modeled sediment load balances demonstrated the depositional and erosional behaviors expected from the conceptual model of dam operations whereby sediment tends to accumulate during irrigation seasons when the dam is spilling over the top, and sediment tends to evacuate during the fallow seasons when it is flowing through the sluice gates at the base of the dam. The sediment load calculations using the rules-based model criteria indicated that between 14,200 and 380,000 tons of suspended sediment moved through the Shoshone River around Willwood Dam during the irrigation seasons of 2019, 2020, and 2021; 380,000 tons of suspended sediment were transported during the cool, wet year of 2019, and 14,200 tons of suspended sediment were transported in 2020, which was relatively dry. During fallow seasons 2019, 2020, and 2021, which had fewer complete records, between 1,140 and 106,000 tons of suspended sediment was estimated to have moved through the river.</p><p>For all seasons except fallow season 2022, the models estimated that more sediment was released from the dam than entered the dam, but the modeled mean loads at each streamgage were nearly always within the prediction intervals of each other, making the sediment balance indeterminant. Examination of suspended-sediment loads during irrigation seasons indicated that between 65 and 85 percent of fine sediment was transported during annual high flows and storm events, with the remainder transported during steady, lower streamflows. Examination of suspended loads during fallow seasons indicated that deliberate sediment releases through Willwood Dam accounted for between 39 and 67 percent of the total sediment moved during the fallow seasons. Deliberate sediment releases from Willwood Dam had estimated net exports of between 1,360 and 22,400 tons.</p><p>Between August 2017 and July 2023, suspended-sediment concentration and bedload sediment samples were collected from 9 tributaries to the Shoshone River during 137 sampling events, including stable and precipitation-runoff conditions. During irrigation season precipitation events, the mean total sediment yields ranged from 0.33 to 9.51 tons per day per square mile; during fallow season precipitation events, the mean total yields ranged from 0.04 to 0.95 ton per day per square mile. The mean total sediment yield per unit area across all samples at each tributary site ranged from 0.26 to 3.08 tons per day per square mile. Bedload was a minor fraction of the total load, constituting a mean of 4 percent across all samples; 3 and 6 percent for events and nonevents, respectively, during irrigation season; and 3 and 1 percent for events and nonevents, respectively, during the fallow season. With the exception of one tributary, Dry Creek, these mean yield values were within the range of watershed-scale background sediment yield values estimated from reservoir surveys and previous suspended-sediment studies.</p><p>Imagery from irrigation seasons 2012, 2015, 2017, 2019, and 2022 was used to determine the planimetric backwater extent of the pool area in the Shoshone River behind Willwood Dam to identify any changes in sediment storage. Active river channel widths in the Shoshone River upstream from Willwood Dam were all similar between years except 2015, which was determined to be statistically different from all other years. Bathymetric data taken in the pool behind Willwood Dam during three different surveys between November 2017 and April 2022 indicated no statistically significant differences in bed elevations between the years. Results from the planimetric and bathymetric survey data provide multiple lines of evidence indicating that sediment did not accumulate behind the dam within the error of the methods used.</p><p>Examination of how precipitation affects sediment transport in the Shoshone River upstream from Willwood Dam indicated that accumulated rainfall from the natural runoff events captured during the study period varied from a trace to as much as 4.26 inches, with associated predicted suspended-sediment loads varying from 112 to 232,000 tons of suspended sediment. The behavior of the sediment loads relative to accumulated precipitation did not appear to change depending on irrigation or fallow season. A model of suspended-sediment concentrations relative to the 2-day accumulated precipitation indicated that suspended-sediment concentrations in the Shoshone River upstream from Willwood Dam increased exponentially for accumulations of 0.3 inch or more; such storms accounted for 10 percent or less of precipitation events observed during the 1981 to 2018 period of record.</p><p>The gaps in records, precision of the instrumentation, and large variation in grain sizes in suspended-sediment mixtures downstream from the dam made closing the sediment budgets for most seasons unattainable. The biggest recent change in sediment storage measured using the planimetric area of deposits behind Willwood Dam took place between 2015 and 2017. The main event between these two measurements was the installation of new Willwood Canal gates in October 2016, which resulted in the large unplanned sediment release. Because the sediment budgets were nearly always indeterminate and the planimetric and bathymetric data indicated little change in the bed and bank material, it is likely that the change in sediment storage behind the dam during the study period was small relative to the precision of the statistical models and other uncertainties.</p><p>This body of evidence suggests that, averaged during the 3-year study period, no major changes in storage took place, and that the current operations may be keeping storage at near-equilibrium. This condition could have been initiated because the middle sluice gate has now been operational since 2014, and the sediment release in October 2016 evacuated a large amount of legacy sediment from storage. Although the uncertainties are large, sluicing events allow for controlled releases of sediment that contributed to the near equilibrium conditions observed over an annual basis during this study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255077","collaboration":"Prepared in cooperation with the Wyoming Department of Environmental Quality","usgsCitation":"Alexander, J.S., Brown, H., Eddy-Miller, C.A., Burckhardt, J., Burckhardt, L., Ellison, C., McIntyre, C., Moger, T., Patterson, L., Tavelli, C., Waterstreet, D., and Williams, M., 2025, Fluvial sediment dynamics in the Shoshone River and tributaries around Willwood Dam, Park County, Wyoming: U.S. Geological Survey Scientific Investigations Report 2025–5077, 70 p., https://doi.org/10.3133/sir20255077.","productDescription":"Report: x, 70 p.; Data Release; Dataset","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164415","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":494651,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255077/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5077"},{"id":494674,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":494673,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13VHDRG","text":"USGS data release","linkHelpText":"Shapefiles of digitized backwater extent behind Willwood Dam on the Shoshone River, near Cody, Wyoming, derived from 2012, 2015, 2017, 2019, and 2022 National Agriculture Imagery Program imagery"},{"id":494652,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5077/images"},{"id":494654,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5077/sir20255077.XML","linkFileType":{"id":8,"text":"xml"}},{"id":494650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5077/sir20255077.pdf","text":"Report","size":"9.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5077"},{"id":494649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5077/coverthb.jpg"}],"country":"United States","state":"Wyoming","county":"Park County","otherGeospatial":"Shoshone River and tributaries around Willwood Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.66170194279013,\n              44.80967182289373\n            ],\n            [\n              -109.31267227648169,\n              44.80967182289373\n            ],\n            [\n              -109.31267227648169,\n              44.39309612019585\n            ],\n            [\n              -108.66170194279013,\n              44.39309612019585\n            ],\n            [\n              -108.66170194279013,\n              44.80967182289373\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Fluvial Sediment Dynamics in the Shoshone River around Willwood Dam</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Suspended-Sediment Surrogate Continuous Monitoring Records&nbsp;</li><li>Appendix 2. Site Monitor Representation of Channel Suspended-Sediment Conditions&nbsp;</li><li>Appendix 3. Comparison of Pump and Depth-Integrated Suspended-Sediment Samples&nbsp;</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-08-29","noUsgsAuthors":false,"publicationDate":"2025-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":261330,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Haylie M. 0009-0004-0278-1450","orcid":"https://orcid.org/0009-0004-0278-1450","contributorId":344815,"corporation":false,"usgs":true,"family":"Brown","given":"Haylie","middleInitial":"M.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eddy-Miller, Cheryl A. 0000-0002-4082-750X","orcid":"https://orcid.org/0000-0002-4082-750X","contributorId":195780,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":false,"id":947024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason 0009-0004-1951-4738","orcid":"https://orcid.org/0009-0004-1951-4738","contributorId":196921,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":947025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burckhardt, Laura","contributorId":360409,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Laura","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":947026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":947027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIntyre, Carmen","contributorId":360412,"corporation":false,"usgs":false,"family":"McIntyre","given":"Carmen","affiliations":[],"preferred":false,"id":947028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moger, Travis","contributorId":360414,"corporation":false,"usgs":false,"family":"Moger","given":"Travis","affiliations":[],"preferred":false,"id":947029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Patterson, Lindsay","contributorId":356033,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":947030,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tavelli, Chace","contributorId":360416,"corporation":false,"usgs":false,"family":"Tavelli","given":"Chace","affiliations":[],"preferred":false,"id":947032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waterstreet, David","contributorId":360417,"corporation":false,"usgs":false,"family":"Waterstreet","given":"David","affiliations":[{"id":48707,"text":"Wyoming Dept of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":947036,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williams, Mahonri","contributorId":360418,"corporation":false,"usgs":false,"family":"Williams","given":"Mahonri","affiliations":[{"id":7203,"text":"DOI, Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":947037,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70271694,"text":"70271694 - 2025 - Projecting stream water quality using Weighted Regression on Time, Discharge, and Season (WRTDS): An example with drought conditions in the Delaware River Basin","interactions":[],"lastModifiedDate":"2025-09-19T14:08:41.362545","indexId":"70271694","displayToPublicDate":"2025-08-29T09:04:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Projecting stream water quality using Weighted Regression on Time, Discharge, and Season (WRTDS): An example with drought conditions in the Delaware River Basin","docAbstract":"<p><span>Future water availability depends on understanding the responses of constituent concentrations to hydrologic change. Projecting future water quality remains a methodological challenge, particularly when using discrete observations with limited temporal resolution. This study introduces Weighted Regression on Time, Discharge, and Season for Projection (WRTDS-P), a novel, computationally efficient method that enables the projection of daily stream water quality under varying hydrologic conditions using commonly available discrete monitoring data. WRTDS-P model performance was validated using 39 sites in the Delaware River Basin (DRB) and four key constituents: specific conductance (SC), nitrate (NO</span><sub>3</sub><sup>−</sup><span>), magnesium (Mg</span><sup>2+</sup><span>) and calcium (Ca</span><sup>2+</sup><span>). Projections were tested against holdout data from the final 1 to 5&nbsp;years of each time series, demonstrating robust predictive capability, with median Nash-Sutcliffe efficiencies of 0.67 for SC, 0.56 for NO</span><sub>3</sub><sup>−</sup><span>, 0.65 for Ca</span><sup>2+</sup><span>, and 0.79 for Mg</span><sup>2+</sup><span>. Model uncertainty was correlated with indicators of hydrologic or geochemical mass-sinks, such as groundwater storage and adsorption in wetland soils. Drought scenario analyses for SC used ranges of reduced discharge including flows from the 1965 drought of record. Scenarios predicted widespread increases of SC, especially in southern DRB streams where baseline SC levels are already elevated. Fractional increases of SC were more uniformly distributed, indicating potential risk to sensitive ecosystems. Notably, drought-induced SC increases were positively correlated with interannual SC trends, indicating that hydrologic extremes could exacerbate ongoing salinization. This work provides a transferable and interpretable framework for projecting future water quality and assessing hydrologic risk to water resources and aquatic ecosystems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.180286","usgsCitation":"Green, C., Hirsch, R.M., Essaid, H., and Sanford, W.E., 2025, Projecting stream water quality using Weighted Regression on Time, Discharge, and Season (WRTDS): An example with drought conditions in the Delaware River Basin: Science of the Total Environment, v. 999, 180286, 14 p., https://doi.org/10.1016/j.scitotenv.2025.180286.","productDescription":"180286, 14 p.","ipdsId":"IP-159069","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":496136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.180286","text":"Publisher Index Page"},{"id":495782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.79788517502844,\n              39.713218235332164\n            ],\n            [\n              -75.44918608740714,\n              38.663983307614814\n            ],\n            [\n              -74.82016028228699,\n              38.99952921670035\n            ],\n            [\n              -74.61504317192174,\n              39.81307746348011\n            ],\n            [\n              -74.15695069541222,\n              41.998596289750736\n            ],\n            [\n              -74.9227212407762,\n              42.30779251171998\n            ],\n            [\n              -75.65430560107949,\n              41.9782683665571\n            ],\n            [\n              -76.07821429583441,\n              41.159834427011475\n            ],\n            [\n              -76.03035363674925,\n              40.632678412780365\n            ],\n            [\n              -75.79788517502844,\n              39.713218235332164\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"999","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":949040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":949041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Essaid, Hedeff 0000-0003-0154-8628","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":361587,"corporation":false,"usgs":false,"family":"Essaid","given":"Hedeff","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":949042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":337084,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":949043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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Achieving this mission becomes more challenging as drought, flooding, increasing temperatures and other climatic change effects are impacting NPS lands and visitors and affecting factors such as visitation, recreation access and health and safety among other aspects of park operations.</p><p>2. However, the literature lacks insights from staff dealing with on-the-ground climate impacts to visitor use. To address this gap, we held semi-structured interviews with 63 staff from 31 NPS units across the United States (U.S.) to better understand the effects of climate change on visitor use. We qualitatively analysed the interviews using both deductive and inductive methods to identify key themes.</p><p>3. Interview participants consistently noted that climate change is already affecting visitor use at their parks. For instance, increasing temperatures are negatively affecting both staff and visitor safety at parks nationwide, whereas all coastal parks within our sample are already experiencing impacts from sea-level rise or more frequent and severe coastal storms and hurricanes. Other impacts include reduced recreational access, damaged infrastructure and cultural resources and diminished visitor experiences due to fire and smoke.</p><p>4. Similarly, concerns about future impacts often revolved around the health and safety of visitors and staff—particularly related to wildfire and smoke, water quality and availability, and increased heat—and climate change forever altering parks.</p><p>5. Our research shows staff in parks and protected areas are noticing effects of climate change on visitor use; some of these impacts have not been previously documented in the scientific literature. Study results highlight future visitor use management research needs and key topics to consider for visitor use planning processes.</p>","language":"English","publisher":"Wiley","doi":"10.1002/pan3.70107","usgsCitation":"Rappaport Keener, S., Wilkins, E.J., Carr, W., Winder, S.G., Reas, J., Daniele, D.B., and Wood, S.A., 2025, National Park Service staff perspectives on how climate change affects visitor use: People and Nature, v. 7, no. 10, p. 2346-2360, https://doi.org/10.1002/pan3.70107.","productDescription":"15 p.","startPage":"2346","endPage":"2360","ipdsId":"IP-178271","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495179,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/pan3.70107","text":"Publisher Index Page"},{"id":495122,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Wylie","contributorId":273040,"corporation":false,"usgs":false,"family":"Carr","given":"Wylie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":947644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winder, Samantha G.","contributorId":360777,"corporation":false,"usgs":false,"family":"Winder","given":"Samantha","middleInitial":"G.","affiliations":[{"id":86104,"text":"University of Washington Outdoor Recreation and Data Lab","active":true,"usgs":false}],"preferred":false,"id":947645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reas, Julianne","contributorId":348912,"corporation":false,"usgs":false,"family":"Reas","given":"Julianne","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":947646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daniele, Daniela B.","contributorId":360778,"corporation":false,"usgs":false,"family":"Daniele","given":"Daniela","middleInitial":"B.","affiliations":[{"id":52985,"text":"National Park Service Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":947647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Spencer A.","contributorId":360779,"corporation":false,"usgs":false,"family":"Wood","given":"Spencer","middleInitial":"A.","affiliations":[{"id":86104,"text":"University of Washington Outdoor Recreation and Data 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,{"id":70271299,"text":"70271299 - 2025 - Regional high-frequency monitoring revealed chloride concentrations in exceedance of ecological benchmarks in urban streams across the Delaware River Basin, USA","interactions":[],"lastModifiedDate":"2025-09-03T15:29:49.125047","indexId":"70271299","displayToPublicDate":"2025-08-29T08:20:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Regional high-frequency monitoring revealed chloride concentrations in exceedance of ecological benchmarks in urban streams across the Delaware River Basin, USA","docAbstract":"<p><span>Rising chloride concentrations pose critical risks to freshwater stream ecosystems in temperate regions like the Delaware River Basin (DRB), USA, where winter deicer applications (</span><i>i.e.</i><span>, road salt) are common. Increasing chloride concentrations have been documented in the region, but the extent to which chloride exceeds regulatory benchmarks remains unclear because detection of exceedances requires continuous monitoring of chloride (</span><i>i.e.</i><span>, hourly or daily). A network of 82 non-tidal continuous specific conductance (SC) monitoring sites, spanning varied land use and geological settings, was established across the DRB to address this research need. First, a cluster analysis was conducted to group sites based on their watershed characteristics. Next, regression models for sites and clusters were developed to predict chloride using SC as a proxy. Finally, daily mean and hourly mean chloride concentration predictions were made for a three-year period (2020–2022) at the 82 study sites and analyzed to determine where and when chloride exceeded federal regulatory benchmarks. Chloride exceedance events occurred at 35% of the sites, all of which had 5% impervious cover or greater. Seasonally elevated chloride also was predicted at sites with less than 5% impervious cover. Variability in chloride patterns likely was influenced by deicer material types, winter weather patterns, geological settings, and gaps in data coverage. This study demonstrated the value of SC as a proxy for predicting chloride concentrations and showed how SC-chloride regression relationships vary across settings. More broadly, this study highlighted the value of continuous water quality monitoring to assess effects of freshwater salinization at a regional scale.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14485-6","usgsCitation":"Fanelli, R.M., Morency, M., Fleming, B.J., Moore, J., Hardesty, D., and Shoda, M.E., 2025, Regional high-frequency monitoring revealed chloride concentrations in exceedance of ecological benchmarks in urban streams across the Delaware River Basin, USA: Environmental Monitoring and Assessment, no. 197, 1056, 25 p., https://doi.org/10.1007/s10661-025-14485-6.","productDescription":"1056, 25 p.","ipdsId":"IP-175501","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":495182,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14485-6","text":"Publisher Index Page"},{"id":495151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.79184558063025,\n              41.902372822441464\n            ],\n            [\n              -75.79184558063025,\n              38.41313507684677\n            ],\n            [\n              -74.54201398019202,\n              38.41313507684677\n            ],\n            [\n              -74.54201398019202,\n              41.902372822441464\n            ],\n            [\n              -75.79184558063025,\n              41.902372822441464\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"197","noUsgsAuthors":false,"publicationDate":"2025-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":341844,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morency, Michelle 0009-0000-9027-7561","orcid":"https://orcid.org/0009-0000-9027-7561","contributorId":345367,"corporation":false,"usgs":false,"family":"Morency","given":"Michelle","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":947887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleming, Brandon J. 0000-0001-9649-7485 bjflemin@usgs.gov","orcid":"https://orcid.org/0000-0001-9649-7485","contributorId":4115,"corporation":false,"usgs":true,"family":"Fleming","given":"Brandon","email":"bjflemin@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Joel","contributorId":49034,"corporation":false,"usgs":false,"family":"Moore","given":"Joel","affiliations":[],"preferred":false,"id":947889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hardesty, Deanna 0000-0002-4924-2233","orcid":"https://orcid.org/0000-0002-4924-2233","contributorId":341845,"corporation":false,"usgs":true,"family":"Hardesty","given":"Deanna","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":947891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271296,"text":"70271296 - 2025 - Dispersal and survival of sea lamprey in Lake Erie and connected waterways","interactions":[],"lastModifiedDate":"2026-01-05T16:40:02.610528","indexId":"70271296","displayToPublicDate":"2025-08-29T07:47:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal and survival of sea lamprey in Lake Erie and connected waterways","docAbstract":"Invasive sea lamprey inhabiting the North American Laurentian Great Lakes are the target of the world’s longest running vertebrate invasive species control program. However, metapopulation dynamics comprising survival and dispersal during the sea lampreys’ lake-resident life stages are poorly understood. We applied acoustic telemetry and continuous-time multistate capture-recapture modeling to address this knowledge gap in Lake Erie. We acoustic-tagged sea lamprey (n = 619) and deployed acoustic receivers into all known connected waterways containing larval sea lamprey rearing habitat (n = 23), including the Detroit River (connecting Lake Erie to Lake Huron) and distributaries to Lake Ontario. Distribution of tagged sea lamprey to putative spawning waterways was shaped by heterogeneous stream attractiveness and distance-limited dispersal. Using parameter estimates from our capture-recapture model and simulation, we predicted survival and dispersal outcomes for a hypothetical sea lamprey population evenly distributed throughout Lake Erie at the beginning of January (34% pre-spawn mortality, 45% dispersal into Lake Erie tributaries, 19% dispersal into the Detroit River, and 2% dispersal into Lake Ontario). The methodology we applied may be widely useful for investigating dispersal and survival of aquatic organisms.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0103","usgsCitation":"Lewandoski, S.A., and Holbrook, C., 2025, Dispersal and survival of sea lamprey in Lake Erie and connected waterways: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-13, https://doi.org/10.1139/cjfas-2025-0103.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-181833","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":495148,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496372,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2025-0103","text":"Publisher Index Page"}],"country":"Canada, United States","otherGeospatial":"Lake Erie, Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.70617488623432,\n              42.02384024551296\n            ],\n            [\n              -83.62185164386733,\n              41.22531282546535\n            ],\n            [\n              -80.95581262939565,\n              41.614162157533514\n            ],\n            [\n              -78.44800562562105,\n              42.65436741270719\n            ],\n            [\n              -78.07746378748234,\n              44.06396277336654\n            ],\n            [\n              -79.76290535037472,\n              43.86046169412299\n            ],\n            [\n              -83.70617488623432,\n              42.02384024551296\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2025-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lewandoski, Sean Alois 0000-0002-6801-5861","orcid":"https://orcid.org/0000-0002-6801-5861","contributorId":340324,"corporation":false,"usgs":true,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"Alois","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947885,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70271378,"text":"70271378 - 2025 - Breaking down Palila decline: Assessing the role of drought and vegetation health in the population loss of an endangered Hawaiian honeycreeper","interactions":[],"lastModifiedDate":"2025-09-10T14:44:00.057371","indexId":"70271378","displayToPublicDate":"2025-08-29T07:38:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Breaking down Palila decline: Assessing the role of drought and vegetation health in the population loss of an endangered Hawaiian honeycreeper","docAbstract":"<p><span>The Palila (</span><i>Loxioides bailleui</i><span>), the last member of the once speciose finch-billed Hawaiian honeycreeper clade (Drepanidinae) in the main Hawaiian Islands, faces critical conservation challenges as an endangered species. Understanding the drivers of its decline is essential for effective management. We used additive decomposition models to examine temporal trends in climatic variables (temperature, precipitation, drought) and Normalized Difference Vegetation Index (NDVI), a vegetation health metric hypothesized to be associated with long-term trends in Palila abundance at landscape (250 m) scales on the Island of Hawai'i. A breakpoint analysis identified 2005–2009 as critical years of Palila decline. Vegetation health metrics at the 250 m scale lined up well both spatially and temporally with trends in Palila declines, with a significant browning from January 2004 to January 2014. Given the strong correlation between vegetation health and drought metrics at the landscape scale (r = 0.75, p &lt; 0.001), NDVI changes appeared driven by drought. To enable the future projection of habitat quality in this area, we explored a stepwise linear regression to explain the variation in MODIS NDVI in recent years. We found that 87 % of the variability in NDVI can be explained by wet season precipitation and vapor pressure deficit from the previous dry season. The model is largely driven by a strong positive correlation between wet season precipitation and NDVI (r = 0.72, adjusted p &lt; 0.001). Areas that maintained a low likelihood of NDVI decline throughout the time series and experienced increases in predicted Palila count represent potential drought microrefugia for the species. This higher elevation microrefugia is likely resilient against decreases in wet season precipitation through supplemental water retention from fog drip. While NDVI rebounded after 2014, Palila have not recovered. Our analysis highlights the importance of trend decomposition for monitoring endangered species with limited rebound potential due to small population dynamics and indicate continued warm, dry conditions may prevent Palila recovery without intervention.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2025.e03831","usgsCitation":"Gallerani, E.M., Camp, R.J., Banko, P.C., Madson, A., Dong, C., Fortini, L., Ma, Z., and Gillespie, T.W., 2025, Breaking down Palila decline: Assessing the role of drought and vegetation health in the population loss of an endangered Hawaiian honeycreeper: Global Ecology and Conservation, v. 62, e03831, 14 p., https://doi.org/10.1016/j.gecco.2025.e03831.","productDescription":"e03831, 14 p.","ipdsId":"IP-166687","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":495392,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2025.e03831","text":"Publisher Index Page"},{"id":495277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.6511297931527,\n              19.916012794249554\n            ],\n            [\n              -155.6511297931527,\n              19.716091807948942\n            ],\n            [\n              -155.34902248798784,\n              19.716091807948942\n            ],\n            [\n              -155.34902248798784,\n              19.916012794249554\n            ],\n            [\n              -155.6511297931527,\n              19.916012794249554\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gallerani, Erica M.","contributorId":361171,"corporation":false,"usgs":false,"family":"Gallerani","given":"Erica","middleInitial":"M.","affiliations":[{"id":86232,"text":"University of California Los Angles","active":true,"usgs":false}],"preferred":false,"id":948318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":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":948319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","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":948320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madson, Austin","contributorId":304629,"corporation":false,"usgs":false,"family":"Madson","given":"Austin","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":948321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dong, Chunyu","contributorId":304633,"corporation":false,"usgs":false,"family":"Dong","given":"Chunyu","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":948322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":948323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ma, Zhimin","contributorId":304634,"corporation":false,"usgs":false,"family":"Ma","given":"Zhimin","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":948324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gillespie, Thomas W.","contributorId":361172,"corporation":false,"usgs":false,"family":"Gillespie","given":"Thomas","middleInitial":"W.","affiliations":[{"id":86232,"text":"University of California Los Angles","active":true,"usgs":false}],"preferred":false,"id":948325,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70271142,"text":"gip261 - 2025 - U.S. Geological Survey monitoring milestones—Chagrin River at Willoughby, OH (04209000)","interactions":[],"lastModifiedDate":"2026-02-03T15:17:16.867519","indexId":"gip261","displayToPublicDate":"2025-08-28T12:04:44","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"261","displayTitle":"U.S. Geological Survey Monitoring Milestones—Chagrin River at Willoughby, OH (04209000)","title":"U.S. Geological Survey monitoring milestones—Chagrin River at Willoughby, OH (04209000)","docAbstract":"<p>The Chagrin River at Willoughby, OH (04209000), streamgage is the 1,000th U.S. Geological Survey (USGS) streamgage to reach Centennial status. Centennial Streamgages are USGS streamgages that have been in operation for 100 years or more. Collecting water data since 1925, it celebrated its 100th birthday on August 1, 2025.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip261","usgsCitation":"Bunch, C.E., 2025, U.S. Geological Survey monitoring milestones—Chagrin River at Willoughby, OH (04209000): U.S. Geological Survey General Information Product 261, https://doi.org/10.3133/gip261.","productDescription":"1 p.","onlineOnly":"Y","ipdsId":"IP-181201","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":495028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/261/coverthb.jpg"},{"id":495029,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/261/gip261.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 261"}],"country":"United States","state":"Ohio","city":"Willoughby","otherGeospatial":"Chagrin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.40271134368446,\n              41.63183038434812\n            ],\n            [\n              -81.40271134368446,\n              41.62829118594672\n            ],\n            [\n              -81.39884786935615,\n              41.62829118594672\n            ],\n            [\n              -81.39884786935615,\n              41.63183038434812\n            ],\n            [\n              -81.40271134368446,\n              41.63183038434812\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:waternetworks@usgs.gov\" data-mce-href=\"mailto:waternetworks@usgs.gov\">National Streamgage Networks Coordinator</a><br><a href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\">Observing Systems Division</a><br>Water Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","publishedDate":"2025-08-28","noUsgsAuthors":false,"publicationDate":"2025-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bunch, Claire 0000-0002-1360-8598","orcid":"https://orcid.org/0000-0002-1360-8598","contributorId":220987,"corporation":false,"usgs":true,"family":"Bunch","given":"Claire","email":"","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947580,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70270434,"text":"sir20255069 - 2025 - Streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada","interactions":[],"lastModifiedDate":"2026-02-03T15:15:45.219139","indexId":"sir20255069","displayToPublicDate":"2025-08-27T11:06:10","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5069","displayTitle":"Streamflow Extents and Hydraulic Characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada","title":"Streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada","docAbstract":"<p>The former Stuart Ranch, now managed by the Bureau of Land Management, is transected by Meadow Valley Wash, where 4,600 feet of perennial stream and adjacent riparian vegetation provide critical habitat for several wildlife and aquatic species protected under the Endangered Species Act. The stream has been altered by prior construction of irrigation diversions, gravel mining, and removal of riparian vegetation, resulting in the loss of instream and riparian vegetation and disconnected floodplains. The stream alteration has also resulted in the loss of native species and increased non-native invasive species and changes in ecological cycles. With the goal of improving habitat extent and quality for native threatened and endangered species, the Bureau of Land Management (BLM) is considering establishing perennial streams through braided side channels by constructing beaver dam analogs, excavating side channel connectors, and grading an irrigation reservoir berm on the floodplain. The U.S. Geological Survey (USGS) provided hydraulic modeling to assist the BLM in evaluating how possible restoration modifications could affect the extent of aquatic, riparian, and other habitat types. Three two-dimensional (2-D) hydraulic models were developed to simulate 2021 conditions (when most of the topographic data were collected), minor restoration modifications (one excavated side channel and a beaver dam analog), and major restoration modifications (three excavated side channels, a beaver dam analog, and an excavated and graded area to remove the irrigation reservoir) to determine streamflow-inundation extents and hydraulic characteristics (depth and velocity) for base flow and various flood (50-, 20-, 10-, 4-, 2-, and 1-percent annual exceedance probability [AEP]) scenarios. An average summer base flow of 0.92 cubic feet per second was estimated based on data from a USGS streamgage in the study area. The 50-, 20-, 10-, 4-, 2-, and 1-percent AEP streamflows were estimated based on a flood-frequency analysis of data from the streamgage. The base flow and AEP floods were combined with surveyed topographic data to create a 2-D unsteady hydraulic model. The hydraulic model was used to simulate the base flow and flood-inundation extents and hydraulic characteristics under 2021 conditions and with two possible restoration modification scenarios. Under 2021 conditions, flow remains in a single channel until the most downstream end of the modeled reach, where flow then expands into slower velocity pools. During floods, streamflow begins to enter the side channels at the 50-percent flood, expands into the east floodplain at 20-percent flood, and flows in the irrigation reservoir at 4-percent flood. Compared to 2021 conditions with no terrain modification, base flow under the possible restoration modifications enters and remains in the side channels, thus increasing the likelihood of expanding riparian habitat. Additionally, during floods under the major restoration modifications, streamflow expands into the modified terrain surrounding the irrigation reservoir at 10-percent AEP, as opposed to 4-percent AEP under 2021 conditions. For all modeled streamflow scenarios, streamflow is deepest in the center of the main and side channels, as well as the downstream pooled areas. Streamflow is fastest in the narrow sections of the channels, especially in the upper 1,220 feet of the modeled reach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255069","collaboration":"Prepared in cooperation with Bureau of Land Management","programNote":"Water Resources Mission Area","usgsCitation":"Dye, L.A., Morris, C.M., and Childres, H.K., 2025, Streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada: U.S. Geological Survey Scientific Investigations Report 2025–5069, 24 p., https://doi.org/10.3133/sir20255069.","productDescription":"Report: vi, 24 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-124818","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":494320,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5069/images"},{"id":494319,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96HQ6F7","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data, flood-frequency analysis, and surface-water model archive for streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada"},{"id":494317,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5069/sir20255069.pdf","text":"Report","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5069"},{"id":494316,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5069/coverthb.jpg"},{"id":494318,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255069/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5069"},{"id":494321,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5069/sir20255069.XML"}],"country":"United States","state":"Nevada","city":"Rox","otherGeospatial":"Meadow Valley Wash at Stuart Ranch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.6611,\n              36.84\n            ],\n            [\n              -114.6611,\n              36.8278\n            ],\n            [\n              -114.65,\n              36.8278\n            ],\n            [\n              -114.65,\n              36.84\n            ],\n            [\n              -114.6611,\n              36.84\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nevada-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nevada-water-science-center\">Nevada Water Science Center</a><br>U.S. Geological Survey<br>2730 N. Deer Run Road, Suite 3<br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Previous Studies</li><li>Simulation of Streamflow Extents and Hydraulic Characteristics</li><li>Results</li><li>Discussion</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-08-27","noUsgsAuthors":false,"publicationDate":"2025-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dye, Laura A. 0000-0002-1311-9815","orcid":"https://orcid.org/0000-0002-1311-9815","contributorId":359918,"corporation":false,"usgs":false,"family":"Dye","given":"Laura","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":946406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Christopher M. 0000-0002-0477-7605 cmmorris@usgs.gov","orcid":"https://orcid.org/0000-0002-0477-7605","contributorId":243176,"corporation":false,"usgs":true,"family":"Morris","given":"Christopher M.","email":"cmmorris@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":946407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childres, Hampton K. 0000-0002-8712-0990","orcid":"https://orcid.org/0000-0002-8712-0990","contributorId":290578,"corporation":false,"usgs":true,"family":"Childres","given":"Hampton","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273979,"text":"70273979 - 2025 - Suspended sediment and fisheries: An exploration of empirical relationships","interactions":[],"lastModifiedDate":"2026-02-20T18:21:30.798822","indexId":"70273979","displayToPublicDate":"2025-08-26T11:18:13","publicationYear":"2025","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":"Suspended sediment and fisheries: An exploration of empirical relationships","docAbstract":"<p>Objective: </p><p>Sediment has an important role in aquatic ecosystems, however, excess sediment can negatively impact fish and other aquatic life. Quantifying the response of aquatic life, particularly fish, to suspended sediment is important for natural resource managers tasked with developing sediment management guidelines to protect aquatic ecosystems. Our goal was to assess the ability of established, revised, and alternate severity of ill effect (SEV) dose-response models to predict the impact of suspended sediment on fish. </p><p>Methods: We synthesized existing literature to develop an expansive dataset that relates suspended sediment concentration and exposure duration to biological effects on fishes and assessed the predictive ability of established and revised SEV dose-response models. We investigated potential sources of variation in biological responses to suspended sediment dose and explored two alternative approaches for assessing the effects of suspended sediment on fish: 90th quantile SEV dose-response regression models and logistic SEV dose-response models. </p><p>Results: We found that both established and revised linear SEV dose-response models poorly quantify fish biological response to suspended sediment. Quantile SEV dose-response regressions also performed poorly. More promising are logistic dose-response models that identify sediment thresholds where major effects of sediment on fish can be expected to occur. We demonstrate that fish biological response to suspended sediment is modulated by sediment particle size, water temperature, and dissolved oxygen levels, suggesting additional environmental and biological variables to consider when evaluating the effects of suspended sediment on fish.&nbsp;</p><p>Conclusion: We contribute revised and novel empirically derived tools for predicting the effects of suspended sediment on fish and demonstrate how environmental variables and life stage may modulate fish biological response. Our work illustrates challenges associated with predictive modeling and some potential sources of variation. While empirical models integrating biological stress response to suspended sediment may help natural resource managers capture potential impacts of this stressor, a cautious approach that considers co-acting stressors may be most effective for sediment management that is protective of fish.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf051","usgsCitation":"Pilkerton, A.M., McCullough, S.M., Patterson, L.S., Rahel, F., Walters, A.W., 2025, Suspended sediment and fisheries: An exploration of empirical relationships: North American Journal of Fisheries Management, v. 45, no. 5, p. 753-766, https://doi.org/10.1093/najfmt/vqaf051.","productDescription":"14 p.","startPage":"753","endPage":"766","ipdsId":"IP-174503","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilkerton, Ashleigh M.","contributorId":366479,"corporation":false,"usgs":false,"family":"Pilkerton","given":"Ashleigh","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCullough, Sara M.","contributorId":366480,"corporation":false,"usgs":false,"family":"McCullough","given":"Sara","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay S.","contributorId":366481,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","middleInitial":"S.","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":955980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahel, Frank J.","contributorId":337685,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271368,"text":"70271368 - 2025 - Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral","interactions":[],"lastModifiedDate":"2025-09-10T15:04:42.257035","indexId":"70271368","displayToPublicDate":"2025-08-26T07:58:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral","docAbstract":"<p><span>Cyanobacterial harmful algal blooms (cyanoHABs) and associated cyanotoxins are a concern for inland waters. Due to the extensive spatial coverage and frequent availability of satellite images, multispectral remote sensing tools demonstrate utility for monitoring these blooms. The next frontier for remote sensing of cyanoHABs in inland waters is hyperspectral data. Recent and upcoming hyperspectral satellite missions using narrow wavelength imaging spectrometers could have a major impact on advancing our ability to detect, quantify, and characterize cyanobacterial blooms. This study compares multispectral and hyperspectral remote sensing capabilities and processing tools for monitoring cyanoHAB dynamics. We evaluated the temporal trends of cyanoHABs in Clear Lake, California, a hypereutrophic lake with diverse cyanobacteria genera based on 38 sampling events over a five-year monitoring period (2019–2023). We validated the Sentinel-3 Ocean and Land Color Instrument (multispectral) Cyanobacteria Index algorithm for Clear Lake using in situ cyanobacteria measurements, which complemented our field-based evaluation of cyanobacteria trends in Clear Lake. We then demonstrate the advantages of hyperspectral data from both in situ spectroradiometer measurements and full-lake hyperspectral satellite images. We apply the Spectral Mixture Analysis for Surveillance of HABs (SMASH) workflow, a Multiple Endmember Spectral Mixture Analysis (MESMA) algorithm, to the hyperspectral images to assess the potential of satellite imaging spectrometer data to identify cyanobacteria genera – the first study to test this tool outside its original study sites. We developed a Clear Lake-specific cyanobacteria spectral library using our field spectroradiometer measurements to improve SMASH performance in Clear Lake, which supports the continued development of this tool.</span></p>","language":"English","publisher":"Elseiver","doi":"10.1016/j.rsase.2025.101704","usgsCitation":"Sharp, S.L., Cortes, A., Forrest, A.L., Legleiter, C.J., Guild, L.S., Jin, Y., and Schladow, S.G., 2025, Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral: Remote Sensing Applications: Society and Environment, v. 39, 101704, 17 p., https://doi.org/10.1016/j.rsase.2025.101704.","productDescription":"101704, 17 p.","ipdsId":"IP-174209","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":500065,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5t83t0rw","text":"External Repository"},{"id":495280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.96267888555795,\n              39.16571325270124\n            ],\n            [\n              -122.96267888555795,\n              38.914533541208556\n            ],\n            [\n              -122.60070817606311,\n              38.914533541208556\n            ],\n            [\n              -122.60070817606311,\n              39.16571325270124\n            ],\n            [\n              -122.96267888555795,\n              39.16571325270124\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sharp, Samantha L.","contributorId":361094,"corporation":false,"usgs":false,"family":"Sharp","given":"Samantha","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes, Alicia","contributorId":293333,"corporation":false,"usgs":false,"family":"Cortes","given":"Alicia","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":true,"id":948228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forrest, Alexander L.","contributorId":361096,"corporation":false,"usgs":false,"family":"Forrest","given":"Alexander","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":948230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guild, Liane S.","contributorId":361098,"corporation":false,"usgs":false,"family":"Guild","given":"Liane","middleInitial":"S.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":948231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Yufang","contributorId":361101,"corporation":false,"usgs":false,"family":"Jin","given":"Yufang","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schladow, S. Geoffrey","contributorId":361104,"corporation":false,"usgs":false,"family":"Schladow","given":"S.","middleInitial":"Geoffrey","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948233,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70271140,"text":"70271140 - 2025 - Contrasting long-term trends in channel width and shoreline complexity","interactions":[],"lastModifiedDate":"2025-08-28T15:14:23.604256","indexId":"70271140","displayToPublicDate":"2025-08-23T08:08:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting long-term trends in channel width and shoreline complexity","docAbstract":"Drought and reservoir management in the Colorado River Watershed have decreased peak flows and sediment loads reducing the ability of rivers to change their channels. Multiple studies have documented the resulting decrease in channel width, but less attention has been paid to long-term trends in shoreline complexity, including the number and size of islands. We used a sequence of aerial photographs and satellite images collected in 13 different years to measure decadal trends in channel complexity in Gray Canyon along the Green River, Utah. We quantified channel width and shoreline complexity for each year of available imagery. Between 1938 and 2021 peak flows decreased by 34% and channel width decreased by 18% confirming observations elsewhere in the system of decreasing width in response to decreasing flows. Over the same period, however, shoreline complexity increased by 5.5% and the number of islands almost tripled, indicating that merging of islands into the encroaching floodplain was outpaced by formation and growth of new islands. The increase in shoreline complexity occurred between 1938 and 2006. Since 2006 there has been no further net increase, suggesting that room for new island formation may now be limited in the narrower channel. Sequences of channel delineations already mapped to quantify long-term changes in channel width at other sites could easily be used to determine whether the increases in shoreline complexity we observed at Gray Canyon are matched elsewhere.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109978","usgsCitation":"Skaggs, E.R., Friedman, J.M., and Holmquist-Johnson, C., 2025, Contrasting long-term trends in channel width and shoreline complexity: Geomorphology, v. 489, 109978, 8 p., https://doi.org/10.1016/j.geomorph.2025.109978.","productDescription":"109978, 8 p.","ipdsId":"IP-178957","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Green River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.79717695343466,\n              42.6685454040163\n            ],\n            [\n              -110.79717695343466,\n              39.693550451413756\n            ],\n            [\n              -107.87448269652732,\n              39.693550451413756\n            ],\n            [\n              -107.87448269652732,\n              42.6685454040163\n            ],\n            [\n              -110.79717695343466,\n              42.6685454040163\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"489","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":210644,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270254,"text":"sim3540 - 2025 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","interactions":[{"subject":{"id":70199279,"text":"sim3418 - 2018 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","indexId":"sim3418","publicationYear":"2018","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas"},"predicate":"SUPERSEDED_BY","object":{"id":70270254,"text":"sim3540 - 2025 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","indexId":"sim3540","publicationYear":"2025","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas"},"id":1}],"lastModifiedDate":"2026-02-03T15:12:39.550217","indexId":"sim3540","displayToPublicDate":"2025-08-22T14:09:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3540","displayTitle":"Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers Within Hays County, Texas","title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","docAbstract":"<p>During 2023–24, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, revised a previous publication of the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers that was completed during 2018 within Hays County, Texas. The purpose of this report is to present the updated geologic framework and hydrostratigraphy of the rocks containing the Edwards and Trinity aquifers in Hays County from field observations of the surficial expressions of the rocks. The report includes a detailed 1:24,000-scale hydrostratigraphic map with names and descriptions of the geologic framework and hydrostratigraphic units (HSUs) in the study area. The study includes updates to the interpretation of the Kainer Formation of the Edwards Group with the addition of a burrowed unit between the basal nodular and dolomitic members. Hydrostratigraphy was also updated with the addition of the Seco Pass HSU for the burrowed member of the Kainer Formation. The study also includes updates to the interpretation of the hydrostratigraphy of the Trinity aquifer with the addition of the cavernous HSU at the top of the upper zone of the Trinity aquifer and the Herff Falls HSU between the Bulverde and Rust HSUs of the middle zone of the Trinity aquifer.</p><p>This updated report provides additional information about a complex aquifer system. The complexity in the aquifer system results from a combination of the original depositional history, bioturbation, development of primary and secondary porosity, postdepositional diagenesis, fracturing, and faulting.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3540","issn":"2329-132X","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Clark, A.K., Morris, R.R., and Lamberts, A.P., 2025, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas: U.S. Geological Survey Scientific Investigations Map 3540, 1 sheet, scale 1:24,000, 13-p. pamphlet, https://doi.org/10.3133/sim3540. [Supersedes USGS Scientific Investigations Map 3418.]","productDescription":"Pamphlet: viii, 13 p.; 1 Sheet: 49.01 x 39.15 inches; Data Release","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-162173","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":493994,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BICJ5","text":"USGS Data Release","linkHelpText":"- Geospatial dataset for the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas, at 1:24,000 scale"},{"id":493995,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3540/sim3540_pamphlet.pdf","text":"Pamphlet","size":"3.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3540 pamphlet"},{"id":493993,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3540/sim3540.pdf","text":"Sheet","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3540"},{"id":493992,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3540/coverthb.jpg"},{"id":493991,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3540/images"},{"id":495116,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118753.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Hays County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.2986,30.0395],[-98.2197,30.2335],[-98.1793,30.3395],[-98.1732,30.356],[-97.7131,30.0229],[-97.7659,29.9791],[-97.7763,29.9679],[-97.7891,29.9599],[-97.7995,29.9459],[-97.8161,29.9371],[-97.8599,29.91],[-97.897,29.8819],[-97.9008,29.8554],[-97.8966,29.8558],[-97.8934,29.8566],[-97.8924,29.8575],[-97.8918,29.8584],[-97.8907,29.8598],[-97.8902,29.8612],[-97.8896,29.8616],[-97.888,29.8625],[-97.8838,29.8615],[-97.8786,29.8591],[-97.9354,29.8185],[-97.9478,29.8091],[-97.9823,29.7726],[-97.9996,29.7537],[-98.0389,29.8493],[-98.1102,29.9036],[-98.2986,30.0395]]]},\"properties\":{\"name\":\"Hays\",\"state\":\"TX\"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501</p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geologic Framework</li><li>Hydrostratigraphy</li><li>Implications of Hydrostratigraphic Characteristics and Geologic Structure on Groundwater Recharge and Flow Paths</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-08-22","noUsgsAuthors":false,"publicationDate":"2025-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":79775,"corporation":false,"usgs":true,"family":"Clark","given":"Allan K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":331599,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamberts, Alexis P. 0000-0003-0193-5433","orcid":"https://orcid.org/0000-0003-0193-5433","contributorId":242978,"corporation":false,"usgs":true,"family":"Lamberts","given":"Alexis","email":"","middleInitial":"P.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272261,"text":"70272261 - 2025 - Spatial mapping of dissolved methane using an in situ sensor in Puget Sound","interactions":[],"lastModifiedDate":"2025-11-20T15:39:11.301779","indexId":"70272261","displayToPublicDate":"2025-08-21T09:31:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"Spatial mapping of dissolved methane using an in situ sensor in Puget Sound","docAbstract":"<p><span>Release of methane, as gas bubbles or in the dissolved phase, from the seafloor has been observed in coastal waters (&lt; 200 m) and deep ocean basins (&gt; 1000 m). Methane dissolution within the water column affects the geochemistry of the surrounding water, leading to localized oxygen loss and potential escape to the atmosphere, particularly from shallower sites. Traditional methods for detecting and quantifying dissolved methane rely on collecting discrete water samples for ship- or land-based ex situ analysis and post processing. Here, we report on the use of a reduced response time, in situ methane sensor, the Sensor for Aqueous Gases in the Environment (SAGE), for detecting and quantifying dissolved methane concentrations in a wide range of seafloor environments. During a Fall 2022 research cruise on the R/V&nbsp;</span><i>Thomas G. Thompson</i><span>&nbsp;in Puget Sound, SAGE was integrated onto a towed conductivity/temperature/depth rosette and deep-sea camera system with live-stream 1 Hz telemetry and used to spatially map the concentration of methane approximately 1 m above the seafloor. The site had been previously identified as an active methane plume field characterized by gas bubbles, fluid venting, and a faulted seabed. The widespread background dissolved concentration of methane measured by SAGE was 83 nM, and a range of 78–670 nM was observed throughout the survey. The results highlight the capacity of SAGE to map the spatial and temporal variability of dissolved methane concentrations in situ and to identify and localize sites of variable methane emissions from the seafloor.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10717","usgsCitation":"Padilla, A.M., Pardis, W., Kapit, J., Bjorklund, T.A., Ward, N.D., Fornari, D.J., Hautala, S., Waite, W., Johnson, H.P., and Michel, A.P., 2025, Spatial mapping of dissolved methane using an in situ sensor in Puget Sound: Limnology and Oceanography Methods, v. 23, no. 11, p. 804-814, https://doi.org/10.1002/lom3.10717.","productDescription":"11 p.","startPage":"804","endPage":"814","ipdsId":"IP-162821","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10717","text":"Publisher Index Page"},{"id":496684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.425,\n              47.5625\n            ],\n            [\n              -122.425,\n              47.551389\n            ],\n            [\n              -122.4125,\n              47.551389\n            ],\n            [\n              -122.4125,\n              47.5625\n            ],\n            [\n              -122.425,\n              47.5625\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Padilla, Alexandra M.","contributorId":362571,"corporation":false,"usgs":false,"family":"Padilla","given":"Alexandra","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":950604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardis, William","contributorId":362574,"corporation":false,"usgs":false,"family":"Pardis","given":"William","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kapit, Jason","contributorId":362576,"corporation":false,"usgs":false,"family":"Kapit","given":"Jason","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjorklund, Tor A.","contributorId":362579,"corporation":false,"usgs":false,"family":"Bjorklund","given":"Tor","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, Nicholas D.","contributorId":362582,"corporation":false,"usgs":false,"family":"Ward","given":"Nicholas","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fornari, Daniel J.","contributorId":362584,"corporation":false,"usgs":false,"family":"Fornari","given":"Daniel","middleInitial":"J.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":950610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, H. Paul","contributorId":362588,"corporation":false,"usgs":false,"family":"Johnson","given":"H.","middleInitial":"Paul","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michel, Anna P.","contributorId":362590,"corporation":false,"usgs":false,"family":"Michel","given":"Anna","middleInitial":"P.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950613,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70270361,"text":"dr1214 - 2025 - Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development","interactions":[],"lastModifiedDate":"2026-02-03T15:11:59.483763","indexId":"dr1214","displayToPublicDate":"2025-08-21T06:59:57","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1214","displayTitle":"Revised Marine Bird Collision and Displacement Vulnerability Index for U.S. Pacific Outer Continental Shelf Offshore Wind Energy Development","title":"Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development","docAbstract":"<p>The installation of offshore wind energy infrastructure (OWEI) at sea may affect marine birds by increasing the risk of mortality from collision with OWEI (Collision Vulnerability) and causing disturbance and displacement from important habitats (Displacement Vulnerability). In 2017, we published the first comprehensive database quantifying marine bird Collision Vulnerability and Displacement Vulnerability to potential OWEI in the region of the U.S. Pacific Outer Continental Shelf (POCS; waters within the Exclusive Economic Zone of California, Oregon, and Washington). We have updated this Vulnerability Index with new research and data, additional species present in the POCS, and an evolved understanding of the application and utility of the Index. Of the species assessed, phalaropes and Red-billed Tropicbird have the highest Collision Vulnerability, and gulls, terns, jaegers, skuas, and pelicans have moderately high Collision Vulnerability. Boobies, sea ducks, and pelicans have the greatest Displacement Vulnerability. The overall trends in ranked Vulnerability among marine birds in the POCS were consistent between Version 1 and Version 2 although new data and revised calculations updated the outcomes. Alcids, loons, storm-petrels, Brant, and phalaropes ranked higher for Collision Vulnerability in Version 2 compared to Version 1; sea ducks, cormorants, skua, and jaegers ranked lower for Collision Vulnerability in Version 2 compared to Version 1. Displacement Vulnerability ranks were higher in Version 2 for gulls, pelicans, sea ducks, and alcids and lower for albatrosses, terns, and loons. Vulnerability Index Version 2 is an up-to-date, representative, and transparent assessment of marine bird vulnerability to potential offshore wind energy development. This updated Vulnerability Index can assist resource managers and others in understanding and addressing potential interactions between OWEI and marine bird species that inhabit the POCS.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1214","collaboration":"Prepared in cooperation with the Bureau of Ocean Energy Management","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Kelsey, E.C., Felis, J.J., Pereksta, D.M., and Adams, J., 2025, Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development (ver. 1.1,\nNovember 2025): U.S. Geological Survey Data Report 1214, 32 p., https://doi.org/10.3133/dr1214.","productDescription":"viii, 32 p.","onlineOnly":"Y","ipdsId":"IP-167805","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496435,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1214/dr1214.XML"},{"id":496432,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/dr/1214/VersionHistory.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":496434,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1214/images"},{"id":496433,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1OUOM9W","text":"USGS data release","description":"USGS data release","linkHelpText":"Data for the revised marine bird Collision and Displacement Vulnerability Index for Pacific Outer Continental Shelf offshore wind energy development"},{"id":496431,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1214/dr1214.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1214"},{"id":496429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1214/coverthb2.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.11122811871701,\n              46.836231292523934\n            ],\n            [\n              -133.66298337147504,\n              43.87312626189197\n            ],\n            [\n              -135.1639174719598,\n              38.18991249267404\n            ],\n            [\n              -124.75213428275356,\n              21.70090202972672\n            ],\n            [\n              -117.3903149351834,\n              19.187148095597664\n            ],\n            [\n              -108.20584860772473,\n              21.105959128505745\n            ],\n            [\n              -110.47687143079384,\n              23.789215318067903\n            ],\n            [\n              -114.73093128440786,\n              29.394483151806185\n            ],\n            [\n              -116.81948042658601,\n              32.732895836344994\n            ],\n            [\n              -120.58898983505466,\n              35.78436076311384\n            ],\n            [\n              -123.50560199570324,\n              40.66753444650692\n            ],\n            [\n              -123.11122811871701,\n              46.836231292523934\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 19, 2025; Version 1.1: November 17, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-08-21","revisedDate":"2025-11-17","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelsey, Emma C. 0000-0002-0107-3530","orcid":"https://orcid.org/0000-0002-0107-3530","contributorId":359739,"corporation":false,"usgs":false,"family":"Kelsey","given":"Emma","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":946194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pereksta, David M.","contributorId":174519,"corporation":false,"usgs":false,"family":"Pereksta","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":946196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270435,"text":"ofr20251041 - 2025 - Collaborative drought science planning in the Colorado River Basin","interactions":[],"lastModifiedDate":"2026-02-03T15:11:15.87049","indexId":"ofr20251041","displayToPublicDate":"2025-08-20T14:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1041","displayTitle":"Collaborative Drought Science Planning in the Colorado River Basin","title":"Collaborative drought science planning in the Colorado River Basin","docAbstract":"<p>The U.S. Geological Survey (USGS) is using collaborative, interdisciplinary planning to develop data and tools needed to optimize the management of water resources and land use by resource management agencies during an ongoing, multidecadal drought in the Colorado River Basin. The USGS Actionable and Strategic Integrated Science and Technology team works to build relationships with resource management agencies and other stakeholders who can benefit from the use of USGS data and products. In 2023, the Actionable and Strategic Integrated Science and Technology team hosted a series of collaborative workshops to bring together representatives of resource management agencies and other stakeholders (any person or entity with interests in a resource or location) with USGS program managers, scientists, and multidisciplinary subject matter experts to codevelop concepts for interdisciplinary drought science and technology projects to address pressing needs related to drought in the Colorado River Basin. Workshop participants identified current and recent scientific data that could be shared through a centralized online data portal. Workshop participants also identified drought science and technology needs and developed project concepts to address those science needs. Participants categorized project concepts based on their potential to develop short-, mid-, and long-term drought science data and tools, provide for the spatial or temporal expansion of ongoing USGS science projects, and address high-priority science needs. Participants developed nine project concepts: (1) understanding shifting ecohydrologic baselines, (2) San Juan River Basin synthesis, (3) incorporating dynamic land cover into hydrologic models, (4) aridification compared to drought, (5) surface water-groundwater interactions, (6) cascading effects of drought on dust, (7) cascading effects of drought on water availability, (8) cascading effects of drought on socioeconomic factors, and (9) the value of water in the Colorado River Basin. This report provides an overview of the 2023 Codesign Workshop Series, synthesized outcomes from workshop materials and discussions, and science project concepts that emerged from the collaborative meetings that will continue to be refined into science project proposals through codevelopment processes. This report also highlights lessons learned and next steps needed to receive feedback and testing of the USGS Science Collaboration Portal, continue collaboration to develop detailed specifics and steps for short-term wins, develop interdisciplinary project proposals, and implement science planning and studies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251041","usgsCitation":"Anderson, P.J., Godaire, J.E., Jones, D.K., Andrews, W.J., Torregrosa, A.A., Bell, M.T., Holloway, J.M., Blakowski, M.A., Hevesi, J.A., and Qi, S.L., 2025, Collaborative drought science planning in the Colorado River Basin: U.S. Geological Survey Open-File Report 2025–1041, 32 p., https://doi.org/10.3133/ofr20251041.","productDescription":"vi, 32 p.","onlineOnly":"Y","ipdsId":"IP-165607","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":494357,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1041/ofr20251041.xml"},{"id":494378,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251041/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1041"},{"id":494325,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1041/ofr20251041.pdf","text":"Report","size":"9.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1041"},{"id":494356,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1041/images"},{"id":494324,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1041/coverthb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.23441985470737,\n              42.42360949558767\n            ],\n            [\n              -110.0074572875208,\n              42.9273485741041\n            ],\n            [\n              -110.88201818257588,\n              40.83215412591818\n            ],\n            [\n              -112.09041488325958,\n              37.81270064609009\n            ],\n            [\n              -113.86864235906498,\n              37.77076755792572\n            ],\n            [\n              -113.94586057217214,\n              38.21912009189296\n            ],\n            [\n              -115.10119317735365,\n              39.08121928179544\n            ],\n            [\n              -115.47544949784407,\n              35.429353160164375\n            ],\n            [\n              -115.29249888241867,\n              31.986896837542588\n            ],\n            [\n              -110.42076682180414,\n              30.172954165166573\n            ],\n            [\n              -108.95437388160886,\n              30.991312421045535\n            ],\n            [\n              -108.56364522256465,\n              31.857948821439074\n            ],\n            [\n              -107.84802514114666,\n              32.26017852956302\n            ],\n            [\n              -107.22575341999277,\n              34.155285973008596\n            ],\n            [\n              -107.68523996280838,\n              35.482296714195456\n            ],\n            [\n              -106.46728549757393,\n              37.071939542790304\n            ],\n            [\n              -105.6885671199549,\n              39.88037502712785\n            ],\n            [\n              -106.23441985470737,\n              42.42360949558767\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort\" data-mce-href=\"https://www.usgs.gov/centers/fort\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Report Purpose and Scope</li><li>Workshop and Synthesis</li><li>Workshop Outcomes</li><li>Proposed Projects</li><li>Ongoing and Upcoming Activities</li><li>Conclusion</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2025-08-20","noUsgsAuthors":false,"publicationDate":"2025-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":946409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godaire, Jeanne E. 0000-0001-5103-6888","orcid":"https://orcid.org/0000-0001-5103-6888","contributorId":346872,"corporation":false,"usgs":true,"family":"Godaire","given":"Jeanne","middleInitial":"E.","affiliations":[{"id":64844,"text":"Rocky Mountain Region Director’s Office","active":true,"usgs":true}],"preferred":true,"id":946410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":946413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Meghan T. 0000-0003-4993-1642","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":209712,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":205163,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":946415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blakowski, Molly A. 0000-0003-4196-2161","orcid":"https://orcid.org/0000-0003-4196-2161","contributorId":316614,"corporation":false,"usgs":true,"family":"Blakowski","given":"Molly","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946417,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946418,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272186,"text":"70272186 - 2025 - Divergent trends in fluvial suspended-sediment concentrations following improved land-use practices, southwest Washington State","interactions":[],"lastModifiedDate":"2025-11-18T15:33:25.145266","indexId":"70272186","displayToPublicDate":"2025-08-20T09:20:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Divergent trends in fluvial suspended-sediment concentrations following improved land-use practices, southwest Washington State","docAbstract":"<p><span>Improvements in logging practices since the mid-20th century are widely presumed to have reduced suspended sediment loads in streams across the Pacific Northwest. However, there have been few opportunities to directly assess this, particularly in larger rivers. We compare modern (2019–22) and historical (1960s) suspended sediment monitoring in three large, actively managed watersheds in western Washington with similar land-use histories. In the two watersheds draining the southern Olympic Mountains (Satsop and Wynoochee Rivers), modern sediment yields were around 300&nbsp;t/km</span><sup>2</sup><span>/yr, two to three times lower than historical conditions. Most suspended sediment exiting these watersheds came from rolling terrain mantled by glacial deposits in the lower watersheds, not the steep headwaters. Modern sediment yields in the Chehalis River, draining the low-relief Willapa Hills, were lower (70&nbsp;t/km</span><sup>2</sup><span>/yr), though this represented a 50&nbsp;% increase relative to historical conditions. SSC-discharge relations in the Chehalis River were steady from 1961 to 1994, indicating this increase happened sometime after 1994. The Chehalis River headwaters were uniquely impacted by landsliding during a 2007 storm, though there is some evidence against that storm as the cause of the recent increase. Ultimately, improved land-use practices appear to have reduced suspended sediment loads in large rivers of the southern Olympic Mountains several-fold, consistent with prior findings in the western Olympic Mountains, primarily due to reduced sediment delivery from the lower watersheds. Countervailing SSC-discharge trends and lower yields in the Chehalis River underscore that background sediment delivery rates and sensitivity to land-use disturbance may vary substantially within a region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109963","usgsCitation":"Anderson, S., Curran, C.A., Wilkerson, O., and Seguin, K., 2025, Divergent trends in fluvial suspended-sediment concentrations following improved land-use practices, southwest Washington State: Geomorphology, v. 488, 109963, 13 p., https://doi.org/10.1016/j.geomorph.2025.109963.","productDescription":"109963, 13 p.","ipdsId":"IP-159608","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":496732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2025.109963","text":"Publisher Index Page"},{"id":496585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124,\n              47.667\n            ],\n            [\n              -124,\n              46.333\n            ],\n            [\n              -122.333,\n              46.333\n            ],\n            [\n              -122.333,\n              47.667\n            ],\n            [\n              -124,\n              47.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"488","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Scott W 0000-0002-6239-7352","orcid":"https://orcid.org/0000-0002-6239-7352","contributorId":344221,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott W","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkerson, Oscar A. 0000-0003-1786-5329","orcid":"https://orcid.org/0000-0003-1786-5329","contributorId":344222,"corporation":false,"usgs":true,"family":"Wilkerson","given":"Oscar","middleInitial":"A.","affiliations":[{"id":80400,"text":"Washington Water Science Center","active":true,"usgs":false}],"preferred":true,"id":950369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seguin, Katie","contributorId":362358,"corporation":false,"usgs":false,"family":"Seguin","given":"Katie","affiliations":[{"id":86510,"text":"USGS, WA WSC","active":true,"usgs":false}],"preferred":false,"id":950368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270590,"text":"70270590 - 2025 - Potomac Tributary Summary: A summary of trends in tidal water quality and associated factors, 1985 - 2022","interactions":[],"lastModifiedDate":"2025-08-21T14:07:08.104178","indexId":"70270590","displayToPublicDate":"2025-08-19T08:53:54","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Potomac Tributary Summary: A summary of trends in tidal water quality and associated factors, 1985 - 2022","docAbstract":"The Potomac Tributary Summary outlines change over time for a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the period of 1985 to 2022, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring (March-May) and summer (July-September) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in Appendix B. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as wind driven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submerged aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the Potomac River. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who are looking at tidal water quality data and trying to understand why patterns are occurring, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. Our goal is for the Tributary Summary documents to be sources of readily available background for change over time in tidal water quality observed with monitoring data. The intended purpose of the Tributary Summary documents is to help answer questions related to water quality, show how landscape factors drive water quality change over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps.","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K., Gunnerson, A., Betts, S., Duran, G., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M., Devereux, O., Zhang, Q., Murphy, R., Renee Karrh, Butler, T., and Wei, Z., 2025, Potomac Tributary Summary: A summary of trends in tidal water quality and associated factors, 1985 - 2022, 88 p.","productDescription":"88 p.","ipdsId":"IP-173187","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science 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,{"id":70271353,"text":"70271353 - 2025 - Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm","interactions":[],"lastModifiedDate":"2025-09-10T14:57:19.895523","indexId":"70271353","displayToPublicDate":"2025-08-19T07:53:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm","docAbstract":"<p><span>Stream temperature controls a variety of physical and biological processes that affect ecosystems, human health, and economic activities. We used 42 years (1979–2021) of data to predict daily summary statistics of stream temperature across &gt;50,000 stream reaches in the contiguous United States using a recurrent graph convolution network. We comprehensively documented the performance – both across all reaches and by stream type (e.g., reservoir or groundwater influence) – as a baseline for future improvement. The model showed reach-level RMSE of &lt;2&nbsp;°C with 90&nbsp;% prediction intervals that contain 90.7&nbsp;% of observations. We also assessed how the model captured variability in ecologically relevant metrics (e.g., R</span><sup>2</sup><span>&nbsp;for annual 7-day maximum&nbsp;=&nbsp;0.76; R</span><sup>2</sup><span>&nbsp;for days exceeding 25&nbsp;°C&nbsp;=&nbsp;0.75). This model does not outperform state-of-the-art machine learning efforts (e.g., RMSE ≤1.5&nbsp;°C) due to a limited input set but does provide the most spatially complete modeling to date to support water availability assessments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2025.106655","usgsCitation":"Diaz, J.A., Oliver, S.K., and Gorski, G., 2025, Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm: Environmental Modelling & Software, v. 193, 106655, 16 p., https://doi.org/10.1016/j.envsoft.2025.106655.","productDescription":"106655, 16 p.","ipdsId":"IP-178555","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":495393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2025.106655","text":"Publisher Index 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,{"id":70271129,"text":"70271129 - 2025 - Avian influenza spillover into poultry: Environmental influences and biosecurity protections","interactions":[],"lastModifiedDate":"2025-08-28T14:54:17.55377","indexId":"70271129","displayToPublicDate":"2025-08-19T07:47:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22340,"text":"One Health","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza spillover into poultry: Environmental influences and biosecurity protections","docAbstract":"With the continued spread of highly pathogenic avian influenza (HPAI), understanding the complex dynamics of virus transfer at the wild – agriculture interface is paramount. Spillover events (i.e., virus transfer from wild birds into poultry) are related to proximity to infected wild bird populations and environmental conditions. By accounting for such dynamics, we can take a combined approach to assess the impacts of biosecurity measures implemented at poultry farms while simultaneously accounting for their local risk levels. We implemented a Bayesian joint-likelihood logistic regression for the Continental U.S. comparing models of spatiotemporal risk according to land use, weather, and predicted waterfowl distributions followed by integrating a farm-level case-control questionnaire dataset focused on identifying trends in HPAI spillover risk associated with a farm's biosecurity practices. We found that estimates of waterfowl abundance, along with mean precipitation and temperature during winter, were most correlated with spatiotemporal HPAI risk. Additionally, we identified multiple biosecurity practices associated with reduced risk to HPAI, where the strongest relationships were related to litter decontamination treatments, vehicle wash stations, and avoiding shared dead-bird disposal sites with other farms. This model broadly guides surveillance of HPAI in wild and domestic populations, identifying when and where we are most likely to see increased instances of the virus while also providing insights into how poultry farms can better protect themselves from risk.","language":"English","publisher":"Elsevier","doi":"10.1016/j.onehlt.2025.101172","usgsCitation":"Gonnerman, M.B., Mullinax, J., Fox, A., Patyk, K.A., Fields, V., McCool, M., Torchetti, M.K., Lantz, K., Sullivan, J.D., and Prosser, D.J., 2025, Avian influenza spillover into poultry: Environmental influences and biosecurity protections: One Health, v. 21, 101172, 9 p., https://doi.org/10.1016/j.onehlt.2025.101172.","productDescription":"101172, 9 p.","ipdsId":"IP-178496","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.onehlt.2025.101172","text":"Publisher Index 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