Floodplain forests are being transformed by multiple pressures, prompting widespread management and restoration efforts. It is uncertain how disturbances, including hydrologic change, and management actions will interact to influence the ecology of these threatened forests.
This study examined the effects of alternative management and hydrologic regimes on forest succession at an Upper Mississippi River floodplain site with a restoration project in planning.
We used the spatially explicit forest landscape model, LANDIS-II, to simulate forest succession for 100 years under four hydrogeomorphic management scenarios, three forest management scenarios, and two scenarios of future hydrologic conditions. We evaluated changes in forest biomass and composition over time and assessed the relative importance of management actions and hydrologic change on succession.
Forest aboveground biomass decreased in all management-hydrology scenarios, especially in the wetter hydrological scenario. Intensified hydrogeomorphic and forest management scenarios reduced the magnitude and extent of biomass declines; however, they were unable to prevent overall declines in biomass or cause large shifts in tree species composition. Silver maple (Acer saccharinum) was projected to decrease in biomass, while increases in biomass were projected for several late-successional species including swamp white oak (Quercus bicolor). Among the factors influencing variation in biomass, forest management had the largest influence in the first 50 years of our simulations, but hydrological regime became the most important factor by the end of the century.
Our simulations indicate that management actions could play an important role in the conservation of floodplain forests, but their effectiveness will likely be limited if recent upward trends in flooding conditions in this system continue in the future. Thus, our results highlight both the potential benefits and limitations of management actions in the face of hydrologic change.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-025-02144-7","usgsCitation":"Trumper, M., De Jager, N.R., Van Appledorn, M., and Meier, A.R., 2025, Future forest conditions under alternative management and hydrological scenarios in the Upper Mississippi River floodplain: Landscape Ecology, v. 40, 186, 21 p., https://doi.org/10.1007/s10980-025-02144-7.","productDescription":"186, 21 p.","ipdsId":"IP-173189","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02144-7","text":"Publisher Index Page"},{"id":496589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Reno Bottoms study area, Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.39940329445804,\n 43.68624998546463\n ],\n [\n -91.39940329445804,\n 43.44291861394157\n ],\n [\n -91.13016274447915,\n 43.44291861394157\n ],\n [\n -91.13016274447915,\n 43.68624998546463\n ],\n [\n -91.39940329445804,\n 43.68624998546463\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Trumper, Matthew Lewis 0000-0002-9881-7742","orcid":"https://orcid.org/0000-0002-9881-7742","contributorId":357508,"corporation":false,"usgs":true,"family":"Trumper","given":"Matthew Lewis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meier, Andrew R.","contributorId":362320,"corporation":false,"usgs":false,"family":"Meier","given":"Andrew","middleInitial":"R.","affiliations":[{"id":16919,"text":"U.S. Army Corps of Engineers, St. Paul District","active":true,"usgs":false}],"preferred":false,"id":950316,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272041,"text":"70272041 - 2025 - Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration","interactions":[],"lastModifiedDate":"2025-11-14T15:42:24.888398","indexId":"70272041","displayToPublicDate":"2025-09-25T08:36:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration","docAbstract":"Beavers (Castor canadensis) alter river corridor hydrology by creating ponds and inundating floodplains, and thereby improving surface water storage. However, the impact of inundation on groundwater, particularly in mountainous alluvial floodplains with permeable gravel/cobble layers overlain by a soil layer, remains uncertain. Numerical modeling across various floodplain structures considers topographic and sediment complexity and multidirectional flow, linking inundation to groundwater response. This study develops a model-data integration workflow to address uncertainty in groundwater response to beaver-induced inundations in a mountainous alluvial floodplain in the Upper Colorado River Basin. Uncertain factors include seasonal hydrologic dynamics, hydraulic conductivities, floodplain structures, and meteorological forcings. We employed an ensemble of groundwater models, based on geophysical and hydrologic data, with machine learning-based calibration using a neural density estimator. This allowed us to quantify the vertical flux from the soil layer to the permeable gravel bed, the down-valley underflow within the gravel bed, and their ratios. Results show a significant increase in the vertical flux relative to down-valley underflow, from 2% during dry pond periods to 20% during wet periods, serving as an analogy for conditions without and with beaver ponds. The study highlights the influence of floodplain structure on groundwater storage, water balance, and water quality impacted by beaver ponds. A thick gravel bed layer, with a large down-valley underflow, minimizes the effect of beaver-induced inundation on water quality. We emphasize the need for field-scale measurements of floodplain structure and improved characterization of evapotranspiration changes to reduce uncertainty in groundwater response.
","language":"English","publisher":"Wiley","doi":"10.1029/2024WR039192","usgsCitation":"Wang, L., Babey, T., Perzan, Z., Pierce, S., Briggs, M., Boye, K., and Maher, K., 2025, Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration: Water Resources Research, v. 61, no. 9, e2024WR039192, 28 p., https://doi.org/10.1029/2024WR039192.","productDescription":"e2024WR039192, 28 p.","ipdsId":"IP-175143","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039192","text":"Publisher Index Page"},{"id":496487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Crested Butte","otherGeospatial":"Oh‐Be‐Joyful Creek‐Slate River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.04714288137164,\n 38.91446258506133\n ],\n [\n -107.04714288137164,\n 38.87739197906146\n ],\n [\n -106.97879177179699,\n 38.87739197906146\n ],\n [\n -106.97879177179699,\n 38.91446258506133\n ],\n [\n -107.04714288137164,\n 38.91446258506133\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Lijing","contributorId":258127,"corporation":false,"usgs":false,"family":"Wang","given":"Lijing","email":"","affiliations":[],"preferred":false,"id":949830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babey, Tristan 0000-0002-6897-3162","orcid":"https://orcid.org/0000-0002-6897-3162","contributorId":215172,"corporation":false,"usgs":false,"family":"Babey","given":"Tristan","email":"","affiliations":[{"id":39190,"text":"Université de Rennes","active":true,"usgs":false}],"preferred":false,"id":949831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perzan, Zach","contributorId":362023,"corporation":false,"usgs":false,"family":"Perzan","given":"Zach","affiliations":[{"id":40182,"text":"University of Nevada Las Vegas","active":true,"usgs":false}],"preferred":false,"id":949832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Samuel","contributorId":245448,"corporation":false,"usgs":false,"family":"Pierce","given":"Samuel","email":"","affiliations":[{"id":36408,"text":"SLAC National Accelerator Laboratory","active":true,"usgs":false}],"preferred":false,"id":949833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222756,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":949834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boye, Kristin","contributorId":219255,"corporation":false,"usgs":false,"family":"Boye","given":"Kristin","email":"","affiliations":[{"id":39977,"text":"Stanford Synchrotron Radiation Lightsource (SSRL)","active":true,"usgs":false}],"preferred":false,"id":949835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maher, Kate","contributorId":245461,"corporation":false,"usgs":false,"family":"Maher","given":"Kate","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":949836,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271865,"text":"ofr20251052 - 2025 - The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project report","interactions":[],"lastModifiedDate":"2026-02-03T15:35:47.510363","indexId":"ofr20251052","displayToPublicDate":"2025-09-24T10:15:00","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":"2025-1052","displayTitle":"The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory Pilot Project Report","title":"The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project report","docAbstract":"This report provides an overview of the U.S. Geological Survey National Map Corps —Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project in St. James Parish, Louisiana, that began in February 2024 and ended at the end of March 2024. The project used the power of The National Map Corps’ volunteer community to improve building classifications in the original Federal Emergency Management Agency’s U.S.A. Structures dataset. The report highlights the project’s completion and details the work and results achieved through a collaborative effort to enhance geospatial data quality and utility.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251052","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","programNote":"National Geospatial Program","usgsCitation":"Dimascio, T., Matthews, G.D., and Korris, E.M., 2025, The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project report: U.S. Geological Survey Open-File Report 2025–1052, 11 p., https://doi.org/10.3133/ofr20251052.","productDescription":"vi, 11 p.","onlineOnly":"Y","ipdsId":"IP-179574","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":496083,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251052/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1052"},{"id":496000,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1052/ofr20251052.xml"},{"id":495999,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1052/images"},{"id":495984,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1052/ofr20251052.pdf","text":"Report","size":"12.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1052"},{"id":495983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1052/coverthb.jpg"}],"contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
Box 25046, Mail Stop 510
Denver, Colorado 80225-0046
Worldwide, freshwater systems contain more than 18,000 fish species1,2,3, which are critical to the functioning of these ecosystems4 and are vital cultural and economic resources to humans5,6,7; despite this value, fish biodiversity is at risk globally8,9. In the USA, leading threats to fish communities in rivers and streams include climate change and invasive fish introductions and game fish stocking by humans10,11,12,13,14. Here we harmonized US federal biomonitoring datasets with 389 species spanning 27 years (1993–2019) and 2,992 sites to analyse trends in fish biodiversity. In cold streams (past summer stream temperatures below 15.4 °C), fish abundance and richness declined by 53.4% and 32% over 27 years, respectively, and uniqueness increased. Periodic (large-bodied, late-maturing) fishes increased, and opportunists (small-bodied, short generation time, ‘r-selected’) decreased, possibly due to proliferation of native or introduced game fishes. In warm streams (stream temperatures greater than 23.8 °C), fish abundance and richness increased by 70.5% and 15.6% over 27 years, respectively, and communities homogenized. Small opportunistic fishes replaced large periodic fishes. Intermediate streams (stream temperatures 15.4–23.8 °C), representing the average stream, had minimal changes in fish biodiversity through time. Interactions between warming and introduced fish were associated with increased rates of degradation to local fish biodiversity. Given the magnitude of these changes in a relatively short time span, there is an urgent need to curb degradation of fish biodiversity caused by fish introductions and warming water temperatures.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-025-09556-0","usgsCitation":"Rumschlag, S.L., Gallagher, B., Hill, R., Schafer, R.B., Schmidt, T.S., Woods, T., Kopp, D.A., Dumelle, M., Rohr, J., De Laender, F., Hoffman, J., Behrens, J., Lepak, R., Jones, D., and Mahon, M., 2025, Diverging fish biodiversity trends in cold and warm rivers and streams: Nature, v. 647, p. 656-662, https://doi.org/10.1038/s41586-025-09556-0.","productDescription":"7 p.","startPage":"656","endPage":"662","ipdsId":"IP-172821","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":496904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"continental United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n 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A.","contributorId":361648,"corporation":false,"usgs":false,"family":"Kopp","given":"Darin","middleInitial":"A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":949124,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dumelle, Michael","contributorId":361649,"corporation":false,"usgs":false,"family":"Dumelle","given":"Michael","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":949125,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rohr, Jason","contributorId":214630,"corporation":false,"usgs":false,"family":"Rohr","given":"Jason","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":949126,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Laender, Frederik 0000-0002-4060-973X","orcid":"https://orcid.org/0000-0002-4060-973X","contributorId":304832,"corporation":false,"usgs":false,"family":"De Laender","given":"Frederik","email":"","affiliations":[{"id":66158,"text":"University of Namur","active":true,"usgs":false}],"preferred":false,"id":949127,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hoffman, Joel","contributorId":361653,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":949128,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Behrens, Jonathan","contributorId":361656,"corporation":false,"usgs":false,"family":"Behrens","given":"Jonathan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":949129,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lepak, Ryan","contributorId":361659,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan","affiliations":[{"id":6784,"text":"US 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Massachusetts","interactions":[],"lastModifiedDate":"2025-09-25T14:08:33.913615","indexId":"70271947","displayToPublicDate":"2025-09-24T08:58:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Linking stream-reach nitrogen loads and groundwater “reachsheds” to inform wastewater-nitrogen management actions, Cape Cod, Massachusetts","docAbstract":"Fish passage development is a priority at Tieton Dam, on the Tieton River in Washington state, because passage options were not included when the dam was constructed nearly 100 years ago. To inform downstream passage design, we conducted a study to evaluate migration and near-dam behavior of juvenile salmon. The primary goal of the study was to determine how fish approached the dam and to identify areas where they congregated. In its current configuration, water is passed through a deep intake located approximately 548 m upstream of the dam, so there was interest in determining if juvenile salmon spent more time near the intake or at the dam. We found that tagged fish primarily entered the dam forebay offshore and arrived at the dam near the spillway on the left bank of the reservoir. Tagged fish had extended residence times in the forebay and moved repeatedly between the intake and the dam. Using thermal profile data, we inferred that juvenile salmon likely occupied the upper 5 m of the water column during May and June before moving to deeper portions of the water column (10–27 m) during July–September when the reservoir became thermally stratified. We found that a small percentage of tagged fish passed the dam when the reservoir was rapidly drawn down during August–October, but additional research may be needed to fully assess entrainment risk through the intake. These findings suggest that downstream fish passage could be developed at Tieton Dam with a high probability of success, given that most fish survived reservoir passage and spent considerable time near the dam where they would be available to discover and utilize new passage routes.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70047","usgsCitation":"Kock, T.J., Morse, J.M., Stockwell, C.L., and Hansen, A.C., 2025, Evaluation of juvenile salmon behavior to inform downstream fish passage development at a high head dam: River Research and Applications, v. 42, no. 1, p. 30-39, https://doi.org/10.1002/rra.70047.","productDescription":"10 p.","startPage":"30","endPage":"39","ipdsId":"IP-178653","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70047","text":"Publisher Index Page"},{"id":499581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Tieton Dam, Tieton River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.28956624184305,\n 46.663593593931665\n ],\n [\n -121.28956624184305,\n 46.618894099842606\n ],\n [\n -121.10450139881516,\n 46.618894099842606\n ],\n [\n -121.10450139881516,\n 46.663593593931665\n ],\n [\n -121.28956624184305,\n 46.663593593931665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morse, Joseph Mitchell 0009-0009-9937-4830","orcid":"https://orcid.org/0009-0009-9937-4830","contributorId":365998,"corporation":false,"usgs":true,"family":"Morse","given":"Joseph","middleInitial":"Mitchell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Caitlin Louise 0000-0001-8257-8428","orcid":"https://orcid.org/0000-0001-8257-8428","contributorId":365999,"corporation":false,"usgs":true,"family":"Stockwell","given":"Caitlin","middleInitial":"Louise","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Amy C. 0000-0002-0298-9137","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":223220,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955131,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272593,"text":"70272593 - 2025 - Longer rorqual whale mothers produce more female offspring","interactions":[],"lastModifiedDate":"2025-11-24T16:18:56.439154","indexId":"70272593","displayToPublicDate":"2025-09-24T07:59:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Longer rorqual whale mothers produce more female offspring","docAbstract":"Multiple hypotheses have arisen that predict how mammals with the ability to adapt fetal sex ratios should invest in male versus female offspring to maximize inclusive fitness, but large wild-population datasets necessary for testing these hypotheses are challenging to collect. We used whaling data (n = 209 254 sexed fetuses from seven rorqual whale species) to test whether mothers with more resources to invest in offspring produce more male or female offspring. We first modelled fetal sex misidentification in the data and estimated that missexing occurred for fetuses under 30–120 cm across five of seven species. Using Bayesian generalized linear mixed models and a size-restricted dataset to account for misidentification, we estimated a 90% posterior probability that longer mothers have more female offspring overall, ranging from 77% for humpback whales to 99% for sei whales. Our results likely reflect both the difficulty of excluding small males from competition in aquatic environments and the exceptionally high costs of gestation and lactation in baleen whales.
Digital flood-inundation maps for a 131.8-mile reach of the Current River and a 44.6-mile reach of the Jacks Fork River, in southeast Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the Ozark Foothills Regional Planning Commission and the South Central Ozark Council of Governments. The maps also encompass the 134 miles of the Current and Jacks Fork Rivers within the Ozark National Scenic Riverways, which is the first national park area to protect a river system. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (hereafter referred to as “stages”) at eight reference USGS streamgages—five on the Current River (USGS station numbers 07064440, 07064533, 07066510, 07067000, and 07068000) and three on the Jacks Fork River (USGS station numbers 07065200, 07065495, and 07066000). Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System at https://doi.org/10.5066/F7P55KJN or the National Weather Service National Water Prediction Service at http://water.noaa.gov/, which also forecasts flood hydrographs at four of these sites (USGS station numbers 07067000, 07068000, 07065495, and 07066000).
Flood profiles were computed for seven of the eight map reaches by means of two-dimensional hydraulic models and the remaining reach by a one-dimensional hydraulic model. The models were calibrated by using stage-streamflow relations or streamflow measurements at the USGS streamgages and from high-flow stage measurements from water-level loggers distributed throughout the reaches.
The hydraulic models were used to compute water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datums. The profile stages ranged from the National Weather Service “action stage” or near bankfull, to a stage exceeding the highest recorded water level at each streamgage. The simulated water-surface profiles were then combined with a digital elevation model (derived from light detection and ranging data having a nonvegetated vertical accuracy of a maximum 10-centimeter root mean square error) to delineate the area flooded at each water level and the associated water depths.
The availability of these maps, along with information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, will provide emergency management personnel, resource managers, and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255092","collaboration":"South Central Ozark Council of Governments, Ozark Foothills Regional Planning Commission","usgsCitation":"Heimann, D.C., High, J.L., Atkinson, A.A., and Rydlund, P.H., Jr., 2025, Flood-inundation maps of the Current and Jacks Fork Rivers including the Ozark National Scenic Riverways, southeast Missouri, 2023: U.S. Geological Survey Scientific Investigations Report 2025–5092, 29 p., https://doi.org/10.3133/sir20255092.","productDescription":"Report: viii, 29 p.; Data Release; Dataset","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-135288","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497780,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118892.htm"},{"id":495817,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":495816,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90H2UQY","text":"USGS data release","linkHelpText":"Hydraulic models and geospatial products associated with flood-inundation mapping of the Current and Jacks Fork Rivers including the Ozark National Scenic Riverways, Southeast Missouri, 2022–25"},{"id":495815,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5092/images"},{"id":495813,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255092/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5092 HTML"},{"id":495809,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5092/sir20255092.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5092"},{"id":495808,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5092/coverthb.jpg"},{"id":495814,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5092/sir20255092.XML","description":"SIR 2025-5092 XML"}],"country":"United States","state":"Missouri","otherGeospatial":"Current River, Jacks Fork River, Ozark National Scenic Riverways","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.75,\n 37.5\n ],\n [\n -91.75,\n 36.5\n ],\n [\n -90.75,\n 36.5\n ],\n [\n -90.75,\n 37.5\n ],\n [\n -91.75,\n 37.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The U.S. Geological Survey created flood-inundation maps that make up a 131.8-mile reach of the Current River, a 44.6-mile reach of the Jacks Fork River, including 134 miles of the Ozark National Scenic Riverways in southeast Missouri. The flood-inundation maps show estimates of the extent and depth of flooding corresponding to selected water levels at eight reference U.S. Geological Survey streamgages—five on the Current River (U.S. Geological Survey station numbers 07064440, 07064533, 07066510, 07067000, and 07068000) and three on the Jacks Fork River (U.S. Geological Survey station numbers 07065200, 07065495, and 07066000).
","publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"High, Jason L. 0009-0009-1031-1439","orcid":"https://orcid.org/0009-0009-1031-1439","contributorId":361676,"corporation":false,"usgs":true,"family":"High","given":"Jason","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Allison A. 0009-0001-7572-0729 aatkinson@usgs.gov","orcid":"https://orcid.org/0009-0001-7572-0729","contributorId":330979,"corporation":false,"usgs":true,"family":"Atkinson","given":"Allison","email":"aatkinson@usgs.gov","middleInitial":"A.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949170,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271711,"text":"sir20255094 - 2025 - Flood-inundation maps for Río de la Plata in and near Comerío, Puerto Rico, 2025","interactions":[],"lastModifiedDate":"2026-02-03T15:33:11.072823","indexId":"sir20255094","displayToPublicDate":"2025-09-23T11:45:00","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":"2025-5094","displayTitle":"Flood-Inundation Maps for Río de la Plata in and Near Comerío, Puerto Rico, 2025","title":"Flood-inundation maps for Río de la Plata in and near Comerío, Puerto Rico, 2025","docAbstract":"Digital flood-inundation maps for a 3.1-mile reach of Río de la Plata in and near Comerío, Puerto Rico, were created by the U.S. Geological Survey (USGS). Water-surface profiles were computed for the stream reach by using a one-dimensional steady-state step-backwater model. The model was calibrated to the current (2025) stage-streamflow relation (rating curve 11.0) for the USGS streamgage 50043800, Río de la Plata at Comerío, Puerto Rico. The resulting hydraulic model was then used to compute 16 water-surface profiles for water levels (flood stages) ranging from 10.00 to 40.00 feet at the streamgage and ranging from “action stage” to above “major flood stage” as reported by the National Weather Service. The 40.00-foot stage was selected because it exceeds the peak stage of 34.86 ft recorded during Hurricane Maria at the USGS streamgage 50043800, Río de Plata at Comerío, Puerto Rico. The simulated water-surface profiles were then used in combination with a digital elevation model derived from light detection and ranging data to map the inundated areas associated with each flood profile.
The flood-inundation maps and the supporting hydraulic model produced by this study can be used by emergency managers and local officials to assess flood mitigation strategies and to define flood hazard areas to help protect life and property, to coordinate flood response activities such as evacuations and road closures, and to aid post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255094","usgsCitation":"Ostheimer, C.J., and Torres-Garcia, L.M., 2025, Flood-inundation maps for Río de la Plata in and near Comerío, Puerto Rico, 2025: U.S. Geological Survey Scientific Investigations Report 2025–5094, 15 p., https://doi.org/10.3133/sir20255094.","productDescription":"Report: vii, 15 p.; Data Release","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-176013","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":495789,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13UOGOZ","text":"USGS data release","linkHelpText":"Geospatial data sets and hydraulic model for Río de la Plata in and Near Comerío, Puerto Rico"},{"id":495788,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5094/images/"},{"id":495787,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5094/sir20255094.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5082 XML"},{"id":495786,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255094/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5082 HTML"},{"id":495785,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5094/sir20255094.pdf","text":"Report","size":"6.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5082 PDF"},{"id":495780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5094/coverthb.jpg"},{"id":497779,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118885.htm"}],"country":"United States","city":"Comerio","otherGeospatial":"Puerto Rico, Rio de la Plata","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.19365607546672,\n 18.268637648344637\n ],\n [\n -66.20264706241515,\n 18.27758838215894\n ],\n [\n -66.21903386120783,\n 18.274972061568477\n ],\n [\n -66.229184975504,\n 18.262991563440394\n ],\n [\n -66.22758980040052,\n 18.254728669228726\n ],\n [\n -66.24151132857823,\n 18.254590950995066\n ],\n [\n -66.24484669470401,\n 18.250734796117897\n ],\n [\n -66.26891933717856,\n 18.244950403338635\n ],\n [\n -66.26993444860818,\n 18.217403035734378\n ],\n [\n -66.26239381153299,\n 18.185167128209628\n ],\n [\n -66.25673819071034,\n 18.183238292382484\n ],\n [\n -66.2425266306957,\n 18.193984391766037\n ],\n [\n -66.24528193314764,\n 18.183789390509304\n ],\n [\n -66.22352954536923,\n 18.175247173917384\n ],\n [\n -66.20975303311035,\n 18.174696048809224\n ],\n [\n -66.2051125237173,\n 18.197290750643944\n ],\n [\n -66.18263505634692,\n 18.202112411579463\n ],\n [\n -66.16936609980282,\n 18.216851668012367\n ],\n [\n -66.16943860776185,\n 18.22635645849499\n ],\n [\n -66.17494917440196,\n 18.230488705183646\n ],\n [\n -66.17799450869079,\n 18.246878681547642\n ],\n [\n -66.19365607546672,\n 18.268637648344637\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229-1737
Since their first use in the mid-1980s, external passive integrated transponder (PIT) tags have facilitated innovative investigations into multiple biological traits of animals. For native freshwater mussels, PIT tags are frequently used in capture-mark-recapture applications because they allow repeated, noninvasive sampling, are easy to apply, have high retention rates, and have negligible short-term effects on growth and survival. Because of these traits, resource managers and scientists are using PIT-tagged animals to estimate survival and movement of mussels associated with restoration efforts. However, consistency is limited in how PIT tags are affixed, monitored, and reported. Thus, our objectives were to (1) share our collective experiences in PIT tagging mussels across three case studies in small, medium, and large rivers and (2) propose guidelines for tagging and reporting data from PIT tag studies with native freshwater mussels to facilitate comparisons across future studies. The number of studies that have marked mussels with PIT tags has increased over the past 10 years. The ability to detect mussels using PIT tags has substantially advanced research in three areas of mussel ecology: (1) estimating vital rates (e.g., growth and survival), (2) tracking movements and behaviors of captively propagated, wild, and translocated individuals, and (3) improving our understanding of life history traits, such as reproductive timing. Each case study offers insights on tagging methods, tag loss, tag retention, and monitoring frequency across multiple species that range in conservation status from common to rare. We conclude with best-practice guidelines for placing PIT tags on freshwater mussels and a list of variables that could be reported in future studies to facilitate cross-system comparisons.
","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc-d-25-00002","usgsCitation":"Tiemann, J.S., Ashton, M.J., Douglass, S.A., Stodola, A.P., Vinsel, R.M., and Newton, T.J., 2025, Pit tag application in native freshwater mussels: Case studies across small, medium, and large rivers: Freshwater Mollusk Biology and Conservation, v. 28, no. 2, p. 71-82, https://doi.org/10.31931/fmbc-d-25-00002.","productDescription":"12 p.","startPage":"71","endPage":"82","ipdsId":"IP-167177","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc-d-25-00002","text":"Publisher Index Page"},{"id":496271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiemann, Jeremy S.","contributorId":361870,"corporation":false,"usgs":false,"family":"Tiemann","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Matthew J.","contributorId":361871,"corporation":false,"usgs":false,"family":"Ashton","given":"Matthew","middleInitial":"J.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":949600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglass, Sarah A.","contributorId":361872,"corporation":false,"usgs":false,"family":"Douglass","given":"Sarah","middleInitial":"A.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, Alison P.","contributorId":361873,"corporation":false,"usgs":false,"family":"Stodola","given":"Alison","middleInitial":"P.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vinsel, Rachel M.","contributorId":361875,"corporation":false,"usgs":false,"family":"Vinsel","given":"Rachel","middleInitial":"M.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":361878,"corporation":false,"usgs":false,"family":"Newton","given":"Teresa","middleInitial":"J.","affiliations":[{"id":85472,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271918,"text":"70271918 - 2025 - Fluid inclusion constraints on the geometry of the magmatic plumbing system beneath Mauna Loa – Part 2: Xenoliths","interactions":[],"lastModifiedDate":"2025-09-25T13:17:30.283112","indexId":"70271918","displayToPublicDate":"2025-09-23T10:25:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Fluid inclusion constraints on the geometry of the magmatic plumbing system beneath Mauna Loa – Part 2: Xenoliths","docAbstract":"Mauna Loa volcano erupts crystal-poor material at its summit and more crystal-rich material on its rift zones. Some of the more olivine-rich lava flows contain xenoliths with diverse mineralogy, including cumulate harzburgites with high-Mg# orthopyroxenes and high-Fo olivines (both > 84). Previous experimental work and thermodynamic modelling has proposed that high-Mg# orthopyroxenes only crystallize from Mauna Loa melts at high pressures (> 6 kbar, > 20 km), leading to suggestions that there is a region of sub-Moho magma storage at Mauna Loa in addition to the geophysically imaged magma reservoir at 2–5 km depth below the summit. We use melt and fluid inclusion barometry combined with thermodynamic models to further investigate this suggestion. Fluid inclusion data from harzburgites and dunitic xenoliths yield storage depths remarkably similar to those found in non-xenolithic crystals from lavas and tephras, with a clear peak at ~ 2–3 km (below the summit). Depths from melt inclusions in these xenoliths overlap with fluid inclusion pressures, ruling out the possibility of fluid inclusion re-equilibration during a period of stalling in a shallower reservoir. We examine five different thermodynamic models and find that the minimum pressure of olivine-orthopyroxene co-saturation varies by ~ 4 kbar (~ 12 km). These models also fail to predict that orthopyroxene is stable in ~ 15–80% of compositionally relevant experimental charges which grew orthopyroxene. Overall, this shows that phase stability modelling is an unreliable method of determining magma storage depth at Mauna Loa. We suggest that model discrepancies reflect a lack of experimental constraints on orthopyroxene stability at > 1200 ℃ and 0.01–5 kbar. Based on the presence of large oikocrystic orthopyroxenes completely enclosing rounded olivine chadacrysts, we suggest that these harzburgitic xenoliths formed through the reaction of intruding melts with olivine mush piles within the Mauna Loa edifice at ~ 3 km depth below the summit, with no need for a deeper storage reservoir. The predominance of pre-eruptive shallow storage means that there is more chance of detecting reservoir destabilization with geophysical monitoring techniques compared to a scenario where melts are supplied from sub-Moho reservoirs.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01869-2","usgsCitation":"Wieser, P.E., Gleeson, M., Rangel, B., DeVitre, C., Bearden, A.T., Lynn, K.J., Antoshechkina, P., Gaffney, A., and Monteleone, B., 2025, Fluid inclusion constraints on the geometry of the magmatic plumbing system beneath Mauna Loa – Part 2: Xenoliths: Bulletin of Volcanology, v. 87, 86, 24 p., https://doi.org/10.1007/s00445-025-01869-2.","productDescription":"86, 24 p.","ipdsId":"IP-176666","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496156,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01869-2","text":"Publisher Index Page"},{"id":496014,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.33750669977726,\n 19.719087637337836\n ],\n [\n -155.9431663120125,\n 19.719087637337836\n ],\n [\n -155.9431663120125,\n 18.997816607636395\n ],\n [\n -155.33750669977726,\n 18.997816607636395\n ],\n [\n -155.33750669977726,\n 19.719087637337836\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wieser, Penny E. 0000-0002-1070-8323","orcid":"https://orcid.org/0000-0002-1070-8323","contributorId":272601,"corporation":false,"usgs":false,"family":"Wieser","given":"Penny","email":"","middleInitial":"E.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":949375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gleeson, Matthew","contributorId":346331,"corporation":false,"usgs":false,"family":"Gleeson","given":"Matthew","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":949376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rangel, Berenise","contributorId":346222,"corporation":false,"usgs":false,"family":"Rangel","given":"Berenise","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":949377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeVitre, Charlotte","contributorId":346229,"corporation":false,"usgs":false,"family":"DeVitre","given":"Charlotte","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":949378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bearden, Alexander T.","contributorId":361751,"corporation":false,"usgs":false,"family":"Bearden","given":"Alexander","middleInitial":"T.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":949379,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":949380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Antoshechkina, Paula 0000-0002-3358-5186","orcid":"https://orcid.org/0000-0002-3358-5186","contributorId":272605,"corporation":false,"usgs":false,"family":"Antoshechkina","given":"Paula","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":949381,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaffney, Amy","contributorId":361752,"corporation":false,"usgs":false,"family":"Gaffney","given":"Amy","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":949382,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Monteleone, Brian","contributorId":361754,"corporation":false,"usgs":false,"family":"Monteleone","given":"Brian","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":949383,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274008,"text":"70274008 - 2025 - Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal","interactions":[],"lastModifiedDate":"2026-02-23T15:59:43.189031","indexId":"70274008","displayToPublicDate":"2025-09-23T08:54:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal","docAbstract":"Effective conservation requires an understanding of drivers of a species' distribution as well as long-term changes in their distribution. In recent decades, advances in data collection and analysis have allowed researchers to integrate a wide range of information to model species distributions, particularly by allowing presence-only data and detection-nondetection data to be formally combined in integrated species distribution models (ISDMs). However, these models are rarely used to investigate long-term trends, which are important in evaluating a species' status. Here, we use historical presence-only data of river otters (Lontra canadensis; 366 latrine locations from 1999 to 2007 and 105 locations of road-killed individuals recorded from 1999 to 2020) and 919 detection-nondetection surveys from 230 sites between 2021 and 2023 to understand the current distribution of river otters in Rhode Island, USA, as well as the changes in river otter distribution over the past two decades. We found that river otters were strongly associated with key habitat features such as streams and water, positively associated with urban areas, and tolerant of some contaminants, such as lead. Furthermore, despite uncertainties in historical river otter occurrence, we found clear supporting evidence that river otter intensity of use had declined from 1999 to 2023. This decline occurred despite being protected from harvest and in contrast to range expansions in other parts of the northeastern USA throughout the second half of the 20th century. Our results suggest the utility of this approach to detect declines in species for which historical data are available and a need for better understanding the cause of river otter declines. Where monitoring consists of opportunistically collected data, species conservation could benefit by continuing to collect these data as well as introducing designed surveys, as this would allow better integration of data types, improving trend estimation and reducing the amount of (typically more expensive) designed surveys needed.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.70036","usgsCitation":"Crockett, J.G., Brown, C.B., Gerber, B., 2025, Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal: Animal Conservation, 15 p., https://doi.org/10.1111/acv.70036.","productDescription":"15 p.","ipdsId":"IP-178855","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.70036","text":"Publisher Index Page"},{"id":500410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Blackstone River, Block Island Sound, Narragansett 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Data were collected in cooperation with Colorado Springs Stormwater Enterprise. In this study, 10 sites with long-term suspended sediment records were evaluated during their operational periods, which ranged from 1998 through 2022. To assess how stream behavior might relate to shifts in suspended sediment transport, the Richards-Baker flashiness index, a measure of flashiness, was evaluated for each site. The Richards-Baker flashiness index was calculated for the same months as streamflow and suspended sediment (April through September) using all available streamflow data for a given site. Additionally, cumulative double-mass curves were developed to define temporal variation in the relation between streamflow and suspended sediment loads. This was completed by assessing differences in slopes before and after an observed break in the double-mass curve plots.
Five streamgage sites showed statistically significant (p<0.05) negative trends for suspended sediment flux, and nonsignificant decreases were indicated at the other five sites. The statistically significant negative trends are distributed across the watershed and include smaller tributaries and the main stem of Fountain Creek closer to its confluence with the Arkansas River. Such a broad distribution of negative trends is most likely an indication of improved water quality in the watershed with regards to suspended sediment. Assessing causes for the decreases in suspended sediment loads is beyond the scope of this report; however, spatially distributed bank erosion control projects, stormflow retention projects in the watershed, and changes in climate and storm patterns could be some of the potential drivers of the suspended sediment load trends in this watershed. The flashiness of the streamflow was assessed and can be dismissed on the basis of this study as a potential driver of trends in suspended sediment flux because the magnitude of changes was found to be negligible at all sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255089","collaboration":"Prepared in cooperation with Colorado Springs Stormwater Enterprise","usgsCitation":"Downhour, M.S., Hennessy, E.K., and Bern, C.R., 2025, Characterization of suspended sediment flux and streamflow trends in the Fountain Creek watershed, Colorado, 1998 through 2022 (ver. 1.1, December 2025): U.S. Geological Survey Scientific Investigations Report 2025–5089, 30 p., https://doi.org/10.3133/sir20255089.","productDescription":"Report: v, 30 p.; Data Release: Database","onlineOnly":"N","ipdsId":"IP-168198","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":498354,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255089/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5089"},{"id":498313,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118883.htm","linkFileType":{"id":5,"text":"html"}},{"id":498183,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5089/sir20255089.xml"},{"id":498182,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5089/images"},{"id":498156,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5089/versionHist.txt","size":"8.00 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2025-5089 version history"},{"id":495823,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","linkHelpText":"USGS water data for the Nation: U.S. Geological Survey National Water Information System database"},{"id":495822,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94UW017","text":"USGS data release","linkHelpText":"Suspended Sediment Data and Loads in the Fountain Creek Watershed, Colorado (ver 2.0, June 2025)"},{"id":495821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5089/sir20255089.pdf","text":"Report","size":"4.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5089"},{"id":495820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5089/coverthb2.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.5,\n 39.5\n ],\n [\n -105.5,\n 38\n ],\n [\n -104,\n 38\n ],\n [\n -104,\n 39.5\n ],\n [\n -105.5,\n 39.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: September 22, 2025; Version 1.1: December 30, 2025","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
Supporting the overarching goal to evaluate critical minerals nationwide, the mine waste characterization effort in the U.S. Geological Survey (USGS) Earth Mapping Resources Initiative has created a series of protocols to standardize sampling carried out under this effort by the participating State geological surveys and their cooperators. The protocols are based on published, reviewed methods that can be deployed in the field. The protocols include (1) collecting and processing composite samples of mine and mill waste, including tailings, waste rock, gangue, heap leach piles, ore stockpiles, slag, or other mineralized and processed materials and (2) collecting and preserving water samples from perpetual or long-term mine water sources. The protocols also specify information to document on field sheets and detail the collection of geospatial data. The analytical methods used by the USGS and USGS contract laboratories are described in this report, including the data delivery pathway for USGS-derived data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255068","programNote":"Mineral Resources Program","usgsCitation":"Campbell, K.M., Seal, R.R., Piatak, N.M., Azain, J.S., Morrison, J.M., White, S.J., Manning, A.H., Walton-Day, K., Holloway, J.M., and Wang, B., 2025, Earth Mapping Resources Initiative protocols—Sampling hard-rock mine waste and perpetual mine water sources: U.S. Geological Survey Scientific Investigations Report 2025–5068, 22 p., https://doi.org/10.3133/sir20255068.","productDescription":"Report: viii, 22 p.; Appendix","onlineOnly":"Y","ipdsId":"IP-171986","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495812,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2025/5068/sir20255068_Supplemental_AppendixFile.pdf","text":"Example Field Sheets","size":"172 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix for SIR 2025-5068","linkHelpText":"Example Earth MRI Mine Waste Characterization Field Sheets"},{"id":496041,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255068/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5068"},{"id":495811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5068/sir20255068.pdf","text":"Report","size":"1.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5068"},{"id":495810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5068/coverthb.jpg"},{"id":495877,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5068/images"},{"id":495878,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5068/sir20255068.xml"}],"contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225
Chinook salmon (Oncorhynchus tshawytscha) and Pacific lamprey (Entosphenus tridentatus) are native, anadromous fish species in the Siletz River Basin, western Oregon, that face many threats to their survival in freshwater and the ocean. The Confederated Tribes of Siletz Indians of Oregon seek to mitigate freshwater threats to Chinook salmon and Pacific lamprey, where possible, with habitat conservation and restoration efforts. This study was conducted to assist the Confederated Tribes of Siletz Indians of Oregon in documenting and understanding the hydrogeomorphic processes shaping present-day habitat conditions and assessing future habitat implications for Chinook salmon and Pacific lamprey along the main-stem Siletz River. As such, this study focused on understanding geomorphic processes and patterns of channel change, including lateral and vertical adjustments in channel position and changes in bed-material sediment (sands, gravels, and cobbles that mantle the channel bed), which collectively determine overall patterns of channel morphology and fluvial habitats. Objective One was to evaluate lateral changes in channel position, vertical changes in bed elevation, and longitudinal patterns in bed-material particle size along the Siletz River using detailed channel maps developed from aerial photographs collected from 1939 to 2016, long-term records of stage and discharge collected by the U.S. Geological Survey (USGS) near the City of Siletz, and sediment particle size data. Objective Two was to assess hydraulic conditions using one- and two-dimensional hydraulic models and transport capacity of bed-material sediment using bedload transport models and sediment particle size data for a range of discharge conditions. Objective Three was to identify potential burrowing habitat for lamprey larvae (PBH) along the Siletz River network and provide insights in local factors influencing PBH along the main-stem Siletz River. The overall findings are synthesized to describe habitat implications for Chinook salmon and Pacific lamprey under present-day and future conditions.
Results of Objective One, an evaluation of changes in channel position and bed elevations and longitudinal patterns in bed-material particle size along the Siletz River, include the following
Results of Objective Two, an evaluation of hydraulic and bedload transport conditions along the Siletz River, include the following
Results of Objective Three, an analysis of PBH for lamprey larvae, include the following
Together, these results suggest that most of the Siletz River between Wildcat Creek and the City of Siletz has had only modest vertical and lateral change between the 1930s and 2010s because of the bedrock in and along the main channel and the river’s relatively high transport capacity relative to bed-material sediment supply. However, localized sections of the Siletz River where the active channel widens, particularly at channel bends, exhibited some change in channel planform and the locations and area of gravel bars. In the future, moderate increases in autumn-winter discharge may not result in substantial changes in coarse gravel bars along the Siletz River but may result in selective transport of finer bed-material sediment (gravel, sands, and silts) that provide spawning habitats for Chinook salmon and Pacific lamprey and burrowing habitats for lamprey larvae. Assuming no substantial changes in bed-material sediment supply, increased bedload transport capacity may cause frequent entrainment of lamprey larvae that are burrowed in coarse sand deposits, suspension and downstream transport of salmon eggs incubating in gravels, and reductions in the areas of spawning gravels for Chinook salmon and Pacific lamprey. Exact implications of current and future discharge conditions for these species along the Siletz River depends on many factors, including sediment supply, local hydraulics, and the timing of flood events relative to fish life stages.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255063","collaboration":"Prepared in cooperation with the Confederated Tribes of Siletz Indians of Oregon","usgsCitation":"Jones, K.L., Keith, M.K., Harden, T.M., White, J.S., van de Wetering, S., and Dunham, J.B., 2025, Assessment of\nchannel morphology, hydraulics, and bedload transport along the Siletz River, western Oregon: U.S. Geological Survey\nScientific Investigations Report 2025–5063, 95 p., https://doi.org/10.3133/sir20255063.","productDescription":"Report: xii, 95 p.; 5 Data Releases","onlineOnly":"Y","ipdsId":"IP-127308","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":496021,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118884.htm","linkFileType":{"id":5,"text":"html"}},{"id":495760,"rank":10,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5063/sir20255063.XML"},{"id":495758,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1489NN8","text":"USGS data release","description":"USGS data release","linkHelpText":"One- and two-dimensional hydraulic models for the Siletz River, Oregon"},{"id":495757,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1N35MQN","text":"USGS data release","description":"USGS data release","linkHelpText":"Water surface elevation data from the Siletz River, 2017–18"},{"id":495751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5063/coverthb.jpg"},{"id":495752,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5063/sir20255063.pdf","text":"Report","size":"28.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5063"},{"id":495753,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255063/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5063"},{"id":495754,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AWWRA0","text":"USGS data release","description":"USGS data release","linkHelpText":"Active channel mapping for the Siletz River, Oregon, 1939 to 2016"},{"id":495755,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96ZXPP","text":"USGS data release","description":"USGS data release","linkHelpText":"Surficial and subsurface grain-size data for the Siletz River, Oregon, 2017–18"},{"id":495756,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TIADK3","text":"USGS data release","description":"USGS data release","linkHelpText":"Modeled bedload transport capacity for the Siletz River, Oregon"},{"id":495759,"rank":9,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5063/images"}],"country":"United States","state":"Oregon","otherGeospatial":"Siletz River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.1,\n 45\n ],\n [\n -124.1,\n 44.333\n ],\n [\n -123.5,\n 44.333\n ],\n [\n -123.5,\n 45\n ],\n [\n -124.1,\n 45\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204
The Upper Mississippi River Restoration (UMRR) program, a broad partnership of State and Federal agencies administered by the U.S. Army Corps of Engineers, integrates ecosystem monitoring, research, and modeling to rehabilitate habitat and evaluate ecosystem trends over time in the Upper Mississippi River System. Hydrologic data are integral to the UMRR program because they are used in scientific research, decision-making, and restoration project planning. However, a lack of quantitative hydrologic data representing potential future conditions limits the ability to complete informative research on how future conditions may affect river ecology, achieve management goals, and design restoration projects for 50-year horizons.
The U.S. Geological Survey and the U.S. Army Corps of Engineers led a series of workshops with UMRR partners to (1) prioritize needs for understanding future hydrology, (2) discuss appropriate datasets that could address these needs, and (3) develop a plan for acquiring and distributing a hydrologic dataset of potential future conditions. Agency priorities for understanding future hydrology were broad, spanning ecologic, geomorphic, resource management, and engineering disciplines, and were identified for a range of spatial (project site, navigation pool, reach, system) and temporal (daily, seasonal, annual) scales. The LOcalized Constructed Analogs-Variable Infiltration Capacity-mizuRoute hydrologic data products were identified as a potential source of off-the-shelf data to meet UMRR priority needs but warranted a robust quantitative evaluation. The final meeting in the series scoped a proposal to evaluate the LOcalized Constructed Analogs-Variable Infiltration Capacity-mizuRoute hydrologic data products for use in UMRR applications, including contingencies if the data were determined to be unreliable.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251050","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Van Appledorn, M., and Sawyer, L., 2025, Upper Mississippi River Restoration future hydrology meeting series: U.S. Geological Survey Open-File Report 2025–1050, 93 p., https://doi.org/10.3133/ofr20251050.","productDescription":"vii, 93 p.","numberOfPages":"106","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-144284","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":495840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1050/coverthb.jpg"},{"id":495844,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251050/full"},{"id":495843,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1050/images/"},{"id":495842,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1050/ofr20251050.XML"},{"id":495841,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1050/ofr20251050.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1050"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.2103238355043,\n 37.043422473537504\n ],\n [\n -87.69596012242188,\n 41.69069025518516\n ],\n [\n -89.11501122546446,\n 44.87351523241463\n ],\n [\n -89.14678376857329,\n 46.12049934311611\n ],\n [\n -92.37672035941334,\n 46.134727618766064\n ],\n [\n -94.31468231391703,\n 47.910742701911886\n ],\n [\n -96.86686171848238,\n 47.08812323847167\n ],\n [\n -94.08172387608387,\n 40.82297944373079\n ],\n [\n -89.40096330837447,\n 37.051916822243555\n ],\n [\n -89.2103238355043,\n 37.043422473537504\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
A series of workshops was held so participants from several agencies could work together to prioritize needs for understanding future hydrologic scenarios, discuss appropriate datasets that could address these needs, and develop a plan for acquiring and distributing a hydrologic dataset representing potential future conditions. Agency priorities for understanding future hydrology spanned ecologic, geomorphic, resource management, and engineering disciplines and were identified for a range of spatial (project site, navigation pool, reach, system) and temporal (daily, seasonal, annual) scales. Participants described desired characteristics of a hydrologic dataset of potential future conditions that could meet agency priority needs and developed a workflow to evaluate a readily available data product.
","publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Lucie","contributorId":345904,"corporation":false,"usgs":false,"family":"Sawyer","given":"Lucie","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":949217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70271928,"text":"70271928 - 2025 - Bears avoid residential neighborhoods in response to the experimental reduction of anthropogenic attractants","interactions":[],"lastModifiedDate":"2025-09-24T14:52:24.787526","indexId":"70271928","displayToPublicDate":"2025-09-22T07:45:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Bears avoid residential neighborhoods in response to the experimental reduction of anthropogenic attractants","docAbstract":"Introduction: Urbanization is an extreme form of land use alteration, with human development driving changes in the distribution of resources available to wildlife. Some large carnivores have learned to exploit anthropogenic food resources in urban development, resulting in human-carnivore conflict that can have detrimental impacts to people and carnivores, as exemplified by American black bears. Management agencies commonly promote the use of bear-resistant garbage containers for reducing conflicts, but little is known about the actual behavioral responses of bears to this intervention.
Methods: To understand whether black bears alter their behavior in response to changes in residential waste management, we investigated patterns of bear behavior in Durango, Colorado, where anthropogenic attractants were experimentally manipulated. Using location data from collared black bears, we modeled resource selection and movement in response to areas that had received bear-resistant garbage containers compared to those that did not.
Results: Bears avoided residential areas where garbage availability had been reduced, and this avoidance response increased over subsequent years, potentially suggesting that bears were learning from the management intervention. Bear movement rates, however, were not notably affected by the garbage reduction.
Discussion: Our findings highlight the importance of reducing the availability of anthropogenic attractants for changing bear behavior and reducing risk of urban human-bear conflict, and that these responses can strengthen over time as bears learn from the management intervention.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1657106","usgsCitation":"Venumière-Lefebvre, C.C., Johnson, H.E., Breck, S.W., Alldredge, M.W., and Crooks, K.R., 2025, Bears avoid residential neighborhoods in response to the experimental reduction of anthropogenic attractants: Frontiers in Ecology and Evolution, v. 13, 1657106, 16 p., https://doi.org/10.3389/fevo.2025.1657106.","productDescription":"1657106, 16 p.","ipdsId":"IP-180355","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1657106","text":"Publisher Index Page"},{"id":496001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Durango","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.03713489993451,\n 37.40217470571062\n ],\n [\n -108.03713489993451,\n 37.19518187022882\n ],\n [\n -107.73739324514958,\n 37.19518187022882\n ],\n [\n -107.73739324514958,\n 37.40217470571062\n ],\n [\n -108.03713489993451,\n 37.40217470571062\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Venumière-Lefebvre, Cassandre C.","contributorId":361762,"corporation":false,"usgs":false,"family":"Venumière-Lefebvre","given":"Cassandre","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":949407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, Stewart W.","contributorId":361764,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart","middleInitial":"W.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":949409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alldredge, Mathew W.","contributorId":361766,"corporation":false,"usgs":false,"family":"Alldredge","given":"Mathew","middleInitial":"W.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":949410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crooks, Kevin R.","contributorId":361768,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":949411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271944,"text":"70271944 - 2025 - Accounting for seasonal patterns in bird availability prevents biased population trend estimates with advancing spring phenology","interactions":[],"lastModifiedDate":"2026-02-09T15:59:54.888313","indexId":"70271944","displayToPublicDate":"2025-09-20T09:42:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for seasonal patterns in bird availability prevents biased population trend estimates with advancing spring phenology","docAbstract":"Advancing spring phenology has been observed around the world, including changes in the timing of breeding of birds. When singing rates are tied to breeding stage, the rate at which birds are available for detection by surveyors can also show seasonal patterns that may shift with spring phenology. As the timing of peak bird availability changes over years, monitoring programs that do not account for changing availability could incorrectly conclude that there is a change in population size. We used a 20-yr point-count dataset to test for relationships between bird availability and spring vegetation phenology for 27 species in boreal Alaska. Nine of 22 migratory species showed a significant effect of day of spring (DOS) on availability, usually with availability declining over the survey window (late spring and early summer). In contrast, 3 of 5 resident species showed availability increasing over the survey window. We then conducted a simulation study to evaluate how changing spring phenology could affect estimates of population trend under a static survey window. We found that including DOS in the model as a covariate of availability prevented bias in the trend estimates and did not reduce precision. However, when the model ignored the effect of DOS on availability, population trend estimates were often significantly biased when spring phenology was advancing. Our study adds to previous evidence that bird availability is often related to spring phenology, and demonstrates that failing to account for seasonal changes in availability could result in the spurious estimation of a population trend when spring phenology changes over time. In some cases, the bias could be large enough to change species status assessments under IUCN Red List Criteria. Monitoring programs for birds and other taxa with seasonally varying availability could avoid bias by simply measuring and modeling the relationship between DOS and availability.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf052","usgsCitation":"Weiser, E.L., Johnson, J., Matsuoka, S.M., and Handel, C.M., 2025, Accounting for seasonal patterns in bird availability prevents biased population trend estimates with advancing spring phenology: Ornithological Applications, v. 127, no. 4, p. 1-11, https://doi.org/10.1093/ornithapp/duaf052.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-178417","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"127","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":949463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James","contributorId":173063,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","affiliations":[],"preferred":false,"id":949464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271743,"text":"70271743 - 2025 - Spatially resolved source apportionment of per- and polyfluoroalkyl substances (PFAS) within a post-industrial river catchment","interactions":[],"lastModifiedDate":"2025-09-23T14:33:54.417922","indexId":"70271743","displayToPublicDate":"2025-09-19T09:23:59","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":"Spatially resolved source apportionment of per- and polyfluoroalkyl substances (PFAS) within a post-industrial river catchment","docAbstract":"Source apportionment of per- and polyfluoroalkyl substances (PFAS) in rivers is typically based on water concentrations, which cannot quantify PFAS loads or define geographical source areas. This study applied a river catchment-scale approach to identify PFAS source zones and assess the relative importance of industrial PFAS sources in the River Mersey, UK – a post-industrial, densely populated catchment with diverse PFAS sources. Synoptic sampling and PFAS river load analysis identified key sub-catchments and river stretches contributing the majority of PFAS. Notably, the highest PFAS concentrations did not always correspond to the greatest loads. Most PFOS (64 %), PFOA (49 %), 6:2FTS (46 %) and PFHxS (56 %) were exported from the Upper Mersey sub-catchment, despite higher concentrations in northern sub-catchments, emphasising the importance of load-based monitoring. Mass balance analysis of loads highlighted substantial inputs from specific river stretches, notably the Lower Irwell (Bolton to Manchester City Centre), River Tame (Marple Bridge to Stockport), and Upper Mersey (Stockport to Urmston). While PFAS loads generally scaled with catchment area, yield (load per unit area) analysis identified disproportionately high exports from small headwater catchments, notably the upper River Roch (PFOA, PFHpA and PFHxA) and Glaze Brook (PFBS). Industrial sources in these sub-catchments (a waste management facility and landfills, respectively) were confirmed using gadolinium anomaly analysis and consented discharge records. More widely, gadolinium data suggested industrial discharges may contribute to PFAS occurrence at 62 % of our sample sites throughout the catchment. These findings demonstrate that spatial analysis of PFAS loads, rather than concentrations alone, is critical for identifying PFAS source areas. We present a scalable monitoring framework for PFAS source apportionment applied at the river catchment-scale that can be used by environmental managers to target and prioritise PFAS source areas for detailed monitoring and remediation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.180502","usgsCitation":"Byrne, P., Mayes, W.M., James, A.L., Comber, S., Biles, E., Riley, A.L., Verplanck, P., and Bradley, L., 2025, Spatially resolved source apportionment of per- and polyfluoroalkyl substances (PFAS) within a post-industrial river catchment: Science of the Total Environment, v. 1001, 180502, 12 p., https://doi.org/10.1016/j.scitotenv.2025.180502.","productDescription":"180502, 12 p.","ipdsId":"IP-180073","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496352,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.180502","text":"Publisher Index Page"},{"id":495896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","otherGeospatial":"River Mersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -2.4656527163469946,\n 53.60530248618926\n ],\n [\n -2.4656527163469946,\n 53.3355442876196\n ],\n [\n -1.966480261260216,\n 53.3355442876196\n ],\n [\n -1.966480261260216,\n 53.60530248618926\n ],\n [\n -2.4656527163469946,\n 53.60530248618926\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1001","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Patrick","contributorId":192845,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","affiliations":[],"preferred":false,"id":949261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayes, William M.","contributorId":335073,"corporation":false,"usgs":false,"family":"Mayes","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":949262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Alun L.","contributorId":361704,"corporation":false,"usgs":false,"family":"James","given":"Alun","middleInitial":"L.","affiliations":[{"id":86333,"text":"Environment Agency UK","active":true,"usgs":false}],"preferred":false,"id":949263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Comber, Sean","contributorId":335075,"corporation":false,"usgs":false,"family":"Comber","given":"Sean","email":"","affiliations":[{"id":80302,"text":"University of Plymouth,","active":true,"usgs":false}],"preferred":false,"id":949264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biles, Emma","contributorId":335077,"corporation":false,"usgs":false,"family":"Biles","given":"Emma","email":"","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":949265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riley, Alex L.","contributorId":361707,"corporation":false,"usgs":false,"family":"Riley","given":"Alex","middleInitial":"L.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":949266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":949267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Lee","contributorId":361708,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee","affiliations":[{"id":86332,"text":"John Moores University","active":true,"usgs":false}],"preferred":false,"id":949268,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70271686,"text":"70271686 - 2025 - Sundial: A method for inferring image acquisition time from shadow orientation","interactions":[],"lastModifiedDate":"2025-09-19T14:56:19.138181","indexId":"70271686","displayToPublicDate":"2025-09-18T09:55:14","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":"Sundial: A method for inferring image acquisition time from shadow orientation","docAbstract":"Aerial photography and satellite imagery can be used to characterize landscape change over time and help to understand how these changes are related to climate and hydrology. Publicly available optical imagery from sources such as the United States National Agricultural Imagery Program (NAIP) is particularly valuable in this context due to its high temporal and spatial resolution. However, the exact time an image was acquired is often unknown, which complicates, if not precludes, linking images with other types of high temporal resolution data, such as streamflow records. In this letter, we propose a ‘sundial method’ to infer image acquisition time from shadow orientation. This approach involves measuring the direction of a shadow on the image and using solar geometry calculated for the known image date and location to infer the former sun position. Time estimates for 16 Worldview satellite and six NAIP aerial images based on 407 independent measurements of shadow orientation demonstrate the sundial method had an error of 2.1 ± 3.4 min, indicating that image acquisition times can be inferred with a high degree of accuracy and precision. Sensitivity analyses confirm the robustness of the method across different object types, shadow lengths, and solar zenith angles, while also providing practical guidelines regarding the number of measurements required and errors associated with uncertainty in the image date.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.70157","usgsCitation":"Bae, I., Legleiter, C.J., and Yager, E., 2025, Sundial: A method for inferring image acquisition time from shadow orientation: Earth Surface Processes and Landforms, v. 50, no. 12, e70157, 10 p., https://doi.org/10.1002/esp.70157.","productDescription":"e70157, 10 p.","ipdsId":"IP-173049","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":495797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bae, Inhyeok 0000-0003-3942-4110","orcid":"https://orcid.org/0000-0003-3942-4110","contributorId":347541,"corporation":false,"usgs":false,"family":"Bae","given":"Inhyeok","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":949025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":949024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, Elowyn 0000-0002-3382-2356","orcid":"https://orcid.org/0000-0002-3382-2356","contributorId":347542,"corporation":false,"usgs":false,"family":"Yager","given":"Elowyn","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":949026,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264311,"text":"70264311 - 2025 - Interrogating process deficiencies in large-scale hydrologic models with interpretable machine learning","interactions":[],"lastModifiedDate":"2025-11-26T16:47:08.362588","indexId":"70264311","displayToPublicDate":"2025-09-17T10:34:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Interrogating process deficiencies in large-scale hydrologic models with interpretable machine learning","docAbstract":"Large-scale hydrologic models are increasingly being developed for operational use in the forecasting and planning of water resources. However, the predictive strength of such models depends on how well they resolve various functions of catchment hydrology, which are influenced by gradients in climate, topography, soils, and land use. Most assessments of hydrologic model uncertainty have been limited to traditional statistical methods. Here, we present a proof-of-concept approach that uses interpretable machine learning techniques to provide post hoc assessment of model sensitivity and process deficiency in hydrologic models. We train a random forest model to predict the Kling–Gupta efficiency (KGE) of National Water Model (NWM) and National Hydrologic Model (NHM) streamflow predictions for 4383 stream gauges in the conterminous United States. Thereafter, we explain the local and global controls that 48 catchment attributes exert on KGE prediction using interpretable Shapley values. Overall, we find that soil water content is the most impactful feature controlling successful model performance, suggesting that soil water storage is difficult for hydrologic models to resolve, particularly for arid locations. We identify nonlinear thresholds beyond which predictive performance decreases for NWM and NHM. For example, soil water content less than 210 mm, precipitation less than 900 mm yr−1, road density greater than 5 km km−2, and lake area percent greater than 10 % contributed to lower KGE values. These results suggest that improvements in how these influential processes are represented could result in the largest increases in NWM and NHM predictive performance. This study demonstrates the utility of interrogating process-based models using data-driven techniques, which has broad applicability and potential for improving the next generation of large-scale hydrologic models.
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University)","active":true,"usgs":false}],"preferred":false,"id":930390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, John Christopher 0000-0002-6241-3551","orcid":"https://orcid.org/0000-0002-6241-3551","contributorId":302952,"corporation":false,"usgs":true,"family":"Hammond","given":"John","email":"","middleInitial":"Christopher","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Adam N. 0000-0002-7211-4758","orcid":"https://orcid.org/0000-0002-7211-4758","contributorId":295971,"corporation":false,"usgs":false,"family":"Price","given":"Adam","email":"","middleInitial":"N.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":930392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roundy, Joshua","contributorId":352231,"corporation":false,"usgs":false,"family":"Roundy","given":"Joshua","affiliations":[{"id":84135,"text":"Department of Civil, Environmental and Architectural Engineering, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":930393,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273507,"text":"70273507 - 2025 - A glimpse into the future of tectonic tremor monitoring","interactions":[],"lastModifiedDate":"2026-02-10T13:35:45.088926","indexId":"70273507","displayToPublicDate":"2025-09-17T09:10:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A glimpse into the future of tectonic tremor monitoring","docAbstract":"Tectonic tremor is a weak, long-duration seismic signal often observed in subduction zones and on some other plate-bounding faults. Because of tremor's characteristically low amplitude (and low signal-to-noise) and lack of clear phase arrivals, detecting and locating tremor usually requires techniques distinct from those applied to typical earthquakes. Major advances in detection and understanding of tremor have derived in the past from a powerful combination of new data and new analysis techniques. In a recent study, Sagae et al. (2025, https://doi.org/10.1029/2025jb031348) exploit that combination again, developing a new machine-learning based workflow and applying it to the S-net cabled seismic network in the Japan trench offshore northern Honshu. Their approach, although complex, succeeds in detecting several times more tremor activity than earlier studies, resulting in new insights and providing a blueprint for similar approaches that could be applied elsewhere. As real-time earthquake monitoring adopts similar tools, it may present an opportunity to bring tremor monitoring into operational workflows. In turn, this could solidify tremor monitoring as a component of future operational earthquake forecasting.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JB032642","usgsCitation":"Shelly, D.R., 2025, A glimpse into the future of tectonic tremor monitoring: JGR Solid Earth, v. 130, no. 9, e2025JB032642, 5 p., https://doi.org/10.1029/2025JB032642.","productDescription":"e2025JB032642, 5 p.","ipdsId":"IP-181421","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":498930,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jb032642","text":"Publisher Index Page"},{"id":498798,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":954083,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70269893,"text":"sir20255057 - 2025 - Sources of water and salts for the Zuni Salt Lake in west-central New Mexico","interactions":[],"lastModifiedDate":"2026-02-03T15:26:20.493234","indexId":"sir20255057","displayToPublicDate":"2025-09-17T09:01:13","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":"2025-5057","displayTitle":"Sources of Water and Salts for the Zuni Salt Lake in West-Central New Mexico","title":"Sources of water and salts for the Zuni Salt Lake in west-central New Mexico","docAbstract":"The Zuni Salt Lake is located in a maar in west-central New Mexico and contains hypersaline water that has long been used by Native Americans for religious purposes and the collection of salt. There have been several investigations suggesting different sources for the water and salt to the lake. Springs, seeps, and ephemeral streamflow have all been observed to contribute freshwater to the lake, and brackish to hypersaline seeps have been documented along the banks of the lake. This report summarizes the findings of a study that characterizes the lake’s hydrology, its water and salinity sources, and the hydrogeologic conceptual model. Regional groundwater levels indicate that each of the aquifers in the area have the potential to discharge groundwater to the lake. There is also evidence of vertical groundwater flow pathways at the maar that were likely created by the igneous intrusion that fractured the intersecting aquifers. A detailed water budget was constructed from continuous lake stage, precipitation, and evaporation data to estimate the groundwater inflow to the Zuni Salt Lake. It was determined that groundwater inflow to the lake is 441 ±94 acre-feet per year, which composes as much as 77 percent of the total inflows. The high sodium and chloride concentrations measured in two hypersaline samples collected near the lake indicate that the majority of the dissolved solids entering the lake are from a hypersaline groundwater source. The geochemical and isotopic compositions measured in the lake and surrounding features support the interpretation that hypersaline groundwater is the primary source of salts to the lake, which is likely sourced from the older (and deeper) Permian units. The hypersaline groundwater samples collected during this investigation have a unique aqueous chemistry relative to each of the mapped aquifers, and variability in groundwater compositions is interpreted to result from differences in minerology and residence time.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Contact Us- USGS Publications Warehouse
","tableOfContents":"Light and temperature are driving forces that shape the evolution and physiology of mesophotic organisms. On the Mississippi-Alabama continental shelf, octocorals dominate the mesophotic seascape and provide habitat for many fish and invertebrate species. Gaps in knowledge regarding the fundamental physiological responses of these species to light and temperature are of particular interest to restoration activities following the Deepwater Horizon oil spill. To address these gaps, the photobiology and thermal tolerance of Swiftia exserta and Muricea pendula were assessed in the field and laboratory. Pulse amplitude modulated fluorometry, histology, light microscopy, and epifluorescence imaging revealed low densities of photosynthetic endobionts in samples of S. exserta and none in samples of M. pendula collected near the determined bottom of the euphotic zone (51.45 m). Response to the recorded monthly mean habitat temperature range (18.5–25.4°C) was assessed using respirometry and polyp activity data from live corals exposed to temperatures between 18°C and 26°C. There was no significant difference in oxygen consumption for either species between 18°C and 26°C, and calculated Q10 values were not significantly different from 1, thus suggesting that both species have a low sensitivity to the local thermal environment. However, a negative correlation between temperature and polyp activity suggests that M. pendula is more sensitive to higher temperatures than S. exserta. This study improves the understanding of the effects of light and temperature on mesophotic octocoral physiology and lays the foundation for future work to explore the thermal thresholds of each species and the endobiont–host relationship in S. exserta.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70214","usgsCitation":"Lange, K., Aquilina-Beck, A., Mccauley, M., Johnstone, J., Demopoulos, A., Greig, T., Beers, J.M., Spalding, H.L., and Etnoyer, P.J., 2025, Ecophysiology of two mesophotic octocorals intended for restoration: Effects of light and temperature: Limnology and Oceanography, v. 70, no. 11, p. 3309-3321, https://doi.org/10.1002/lno.70214.","productDescription":"13 p.","startPage":"3309","endPage":"3321","ipdsId":"IP-170683","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496730,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.70214","text":"Publisher Index Page"},{"id":496581,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi, 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Administration (NOAA), National Ocean Service, National Centers for Coastal Ocean Science, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beers, Jody M.","contributorId":362317,"corporation":false,"usgs":false,"family":"Beers","given":"Jody","middleInitial":"M.","affiliations":[{"id":86504,"text":"College of Charleston, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950310,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spalding, Heather L.","contributorId":362318,"corporation":false,"usgs":false,"family":"Spalding","given":"Heather","middleInitial":"L.","affiliations":[{"id":86504,"text":"College of Charleston, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950311,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Etnoyer, Peter J.","contributorId":362319,"corporation":false,"usgs":false,"family":"Etnoyer","given":"Peter","middleInitial":"J.","affiliations":[{"id":86503,"text":"National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, National Centers for Coastal Ocean Science, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950312,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70271379,"text":"sir20255074 - 2025 - Using satellite imagery and soil data to understand occurrences and migration of soil conditions harmful to archaeological sites on Jamestown Island, Virginia","interactions":[],"lastModifiedDate":"2026-02-03T15:25:33.505229","indexId":"sir20255074","displayToPublicDate":"2025-09-16T10:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations 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However, the Island is home to 15,000 years’ worth of cultural artifacts and archaeological sites. In addition to its rich history, the Island is home to a variety of native plants and animals, including many rare, threatened, and endangered species. Preserving historical and natural resources is part of Colonial National Historic Park’s (COLO) enabling legislation. To this end, COLO has been seeking data to inform management decisions on how to prioritize resources to preserve archaeological sites and anticipate changes to natural systems from sea-level rise and other effects of climate change. The U.S. Geological Survey (USGS), in partnership with COLO, collected and analyzed data to help determine soil conditions detrimental to archaeological sites across the Island using a combination of soil samples and assessments of vegetative health as a proxy for soil conditions. This study combined normalized difference vegetative index raster grids spanning 8 years, 2010 to 2018, and soil data from 50 sites sampled in dry (June 2021) and wet months (March 2022) at two different soil horizons to investigate potential hazards to plant health and corrosive conditions in the unsaturated subsurface. The data suggest that access to the James River drives soil pH and soil conductivity. Areas of the Island that are subject to frequent inundation were observed to have both higher soil conductivity (as high as 4,845 millisiemens per meter [mS/m]) and lower pH (as low as 3.84). Higher soil conductivity, or salinity, and more acidity create corrosive environment, which can destroy buried artifacts and are detrimental to vegetative health. These conditions were not limited to the edges of the Island, like Black Point. Inland locations, such as the Pitch and Tar Swamp, were observed to have some of the highest conductivity values, which were likely caused by from a combination of inflow of James River water along Back Creek into the Pitch and Tar Swamp and proximity to the Visitor Center and other high-traffic areas of the Island. A difference of normalized difference vegetative index values from 2010 to 2018 raster grid appears to support this, showing an apparent loss of vegetative health in marsh grass in the Pitch and Tar Swamp. These data may inform COLO about areas of the Island that are currently most threatened by corrosive conditions and how those conditions are likely to migrate in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255074","isbn":"978-1-4113-4629-1","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Caldwell, S.H., 2025, Using satellite imagery and soil data to understand occurrences and migration of soil conditions harmful to archaeological sites on Jamestown Island, Virginia (ver. 1.1, November 2025): U.S. Geological Survey Scientific Investigations Report 2025–5074, 22 p., https://doi.org/10.3133/sir20255074.","productDescription":"Report: vii, 22 p.; Data Release","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-167335","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":497790,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118874.htm"},{"id":496292,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5074/versionHist.txt","size":"632 B","linkFileType":{"id":2,"text":"txt"}},{"id":495295,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13J32J4","text":"USGS data release","linkHelpText":"Satellite imagery products from 2010, 2011, 2018 and soil data from 2021–22 on Jamestown Island, Va."},{"id":495294,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5074/images/"},{"id":495293,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5074/sir20255074.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5074 XML"},{"id":495292,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255074/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5074 HTML"},{"id":495291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5074/sir20255074.pdf","text":"Report","size":"4.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5074 PDF"},{"id":495290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5074/coverthb3.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Jamestown Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.785,\n 37.22\n ],\n [\n -76.785,\n 37.19007232242731\n ],\n [\n -76.73168289008015,\n 37.19007232242731\n ],\n [\n -76.73168289008015,\n 37.22\n ],\n [\n -76.785,\n 37.22\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: September 16, 2025; Version 1.1: September 30, 2025","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228