Fourier amplitude spectra from regional earthquakes in the eastern United States are used in a parametric inversion for source, path, and site effects. Five earthquakes are selected for analysis during the installation of the United States National Seismic Network (US), Earthscope’s USArray Transportable Array (TA), and other temporary arrays to maximize station coverage. A global search algorithm is used to solve for site response from 0.1 to 15 Hz, corner frequency, geometrical spreading (r-γ), and frequency dependent anelastic attenuation in the form Q(f) = Qof α. Tradeoff between moment and geometric spreading is handled by fixing the moment. The tradeoff between corner frequency and Q(f) is solved by selecting the value of corner frequency that minimizes an objective function defined over all stations. Values of site response and attenuation parameters show a strong spatial correlation with the physiographic provinces of the eastern United States. Site response for the Atlantic Coastal Plain is consistent with previous work using spectral ratios relative to a reference site, defined by strong resonance peaks correlated with the thickness of sediments. Site response for the other physiographic provinces is markedly different from the coastal plain, with a lack of distinct resonance peaks and a broad moderate high at frequences from 0.1 to 0.5 Hz consistent with the hard-rock geology of the regions. Like site response, Q(f) has a strong correlation with physiographic province, showing lower values on the coastal plain and higher values inland. Geometric spreading exponent, γ, decreases with increasing hypocenter distance from just above 1 at a few tens of kilometers to 0.9 at 500 km. The limited range in geometric spreading values is attributed to starting the Fourier transform window at the S‐wave arrival for all distances and averaging over multiple wave types.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120250066","usgsCitation":"Hartzell, S.H., Martinetti, L., Mendoza, C., and Schmitt, R.G., 2025, Site response and wave propagation effects in the eastern United States: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2485-2506, https://doi.org/10.1785/0120250066.","productDescription":"22 p.","startPage":"2485","endPage":"2506","ipdsId":"IP-174795","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":493930,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.07834108451145,\n 43.347066936734876\n ],\n [\n -83.07190566074532,\n 41.15850918749996\n ],\n [\n -84.72974599179413,\n 38.49572818331108\n ],\n [\n -87.6040403599389,\n 37.557442613196955\n ],\n [\n -90.35205007389611,\n 32.79825745697784\n ],\n [\n -81.70066250884963,\n 32.45943477635677\n ],\n [\n -76.33120640624651,\n 37.93006949063302\n ],\n [\n -74.11435019028751,\n 44.90250530044207\n ],\n [\n -74.96201722230823,\n 45.03628280801624\n ],\n [\n -78.07834108451145,\n 43.347066936734876\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinetti, Luis B.","contributorId":359446,"corporation":false,"usgs":false,"family":"Martinetti","given":"Luis B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendoza, Carlos 0000-0002-2428-7064","orcid":"https://orcid.org/0000-0002-2428-7064","contributorId":343872,"corporation":false,"usgs":false,"family":"Mendoza","given":"Carlos","email":"","affiliations":[{"id":18923,"text":"Universidad Nacional Autonoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":945458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269896,"text":"70269896 - 2025 - Contributions of Great Salt Lake playa- and industrially-sourced priority pollutant metals in dust contribute to possible health hazards in the communities of northern Utah","interactions":[],"lastModifiedDate":"2025-08-06T14:53:59.285549","indexId":"70269896","displayToPublicDate":"2025-08-05T07:48:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16135,"text":"GeoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Contributions of Great Salt Lake playa- and industrially-sourced priority pollutant metals in dust contribute to possible health hazards in the communities of northern Utah","docAbstract":"Communities and ecosystems of northern Utah, USA receive particulate pollution from anthropogenic activity and dust emissions from sources including the Great Salt Lake (“the Lake”) playa. In addition to affecting communities, anthropogenic pollution is delivered to the Lake's playa sediments, which are eroded during dust events. Yet, spatial variability in dust flux and composition and their risks to human health are poorly understood. We analyzed dust in 17 passive samplers proximal to the Lake during fall 2022 for dust flux, the dust fraction of particulate matter, 87Sr/86Sr, and elemental geochemistry. We evaluated spatial patterns of 11 priority pollutant metals and estimated the hypothetical non-cancer dust and soil ingestion health hazard for six age cohorts. We observed the highest dust fluxes proximal to the Lake's playa. The highest concentrations of and greatest number of metals occurred in and south of Ogden, UT. Sites to the northeast of Farmington Bay had the highest fluxes. Metal concentrations and 87Sr/86Sr suggest that the dust composition near Bountiful represents contributions from anthropogenic sources, whereas the dust composition to the northeast of Farmington Bay reflects the Lake's playa emissions. Evaluations of potential health hazards from dust ingestion suggest that children between birth and 6 years are vulnerable at higher ingestion rates. Thallium, As, Pb, Co and Cr contributed most to the estimated hazard. Among these, As and sometimes Pb are likely derived from the Lake's playa emissions. Thus, suppression of dust emissions from the Lake's playa may decrease possible health risks for children in northern Utah.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GH001462","usgsCitation":"Putman, A.L., Blakowski, M.A., DiViesti, D.N., Fernandez, D.P., McDonnell, M.C., Longley, P.C., and Jones, D.K., 2025, Contributions of Great Salt Lake playa- and industrially-sourced priority pollutant metals in dust contribute to possible health hazards in the communities of northern Utah: GeoHealth, v. 9, no. 8, e2025GH001462, 26 p., https://doi.org/10.1029/2025GH001462.","productDescription":"e2025GH001462, 26 p.","ipdsId":"IP-172297","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":494432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gh001462","text":"Publisher Index Page"},{"id":493641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"northern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.2658188558911,\n 41.97119727006901\n ],\n [\n -113.2658188558911,\n 40.20518704347239\n ],\n [\n -111.08665526028199,\n 40.20518704347239\n ],\n [\n -111.08665526028199,\n 41.97119727006901\n ],\n [\n -113.2658188558911,\n 41.97119727006901\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakowski, Molly A. 0000-0003-4196-2161","orcid":"https://orcid.org/0000-0003-4196-2161","contributorId":316614,"corporation":false,"usgs":true,"family":"Blakowski","given":"Molly","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiViesti, Destry N. 0000-0002-9220-4734","orcid":"https://orcid.org/0000-0002-9220-4734","contributorId":316616,"corporation":false,"usgs":true,"family":"DiViesti","given":"Destry","middleInitial":"N.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, Diego P.","contributorId":138701,"corporation":false,"usgs":false,"family":"Fernandez","given":"Diego","email":"","middleInitial":"P.","affiliations":[{"id":12499,"text":"Univ. of Utah","active":true,"usgs":false}],"preferred":false,"id":944905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonnell, Morgan C. 0000-0001-6946-9286","orcid":"https://orcid.org/0000-0001-6946-9286","contributorId":296906,"corporation":false,"usgs":true,"family":"McDonnell","given":"Morgan","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944908,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269910,"text":"70269910 - 2025 - High resolution mapping of submerged sediment size and suitable salmon spawning habitat using topo-bathymetric Lidar in the Santiam Basin, Oregon","interactions":[],"lastModifiedDate":"2025-08-06T14:47:01.818797","indexId":"70269910","displayToPublicDate":"2025-08-05T07:41:08","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":"High resolution mapping of submerged sediment size and suitable salmon spawning habitat using topo-bathymetric Lidar in the Santiam Basin, Oregon","docAbstract":"The distribution of river-bed grain sizes plays a foundational role in river morphology and ecology. River-bed grain size is a key driver of channel form and process, and has first order effects on aquatic macroinvertebrate assemblages, fish nesting, and biogeochemical processes. Despite this importance, tools to spatially quantify grain-size distributions, particularly submerged grain-size distributions, are lacking. Efforts to address this knowledge gap include developing optical and sonographic tools, however, these approaches have limitations, especially in shallow rivers and over large spatial extents. This study quantifies submerged grain size at high resolution (1 m2) across 260 km of geomorphically diverse river corridors in the Santiam River Basin, Oregon, by pairing bathymetric Lidar point clouds with georeferenced pebble counts. Results suggest that derivatives of Lidar point clouds are able to accurately estimate measured median grain size across seven of the eight river reaches investigated, including reaches above and below high-head dams. Spatial analysis of predicted grain-sizes in the context of Chinook salmon spawning habitat suggests that suitable size sediment patches in the upper, unregulated reaches the study basin is typically small and unorganized. In contrast, the larger rivers downstream of high-head dams typically have larger areas of suitable spawning gravels. This method may be useful for quantification of fish and macroinvertebrates habitats, surface grain-size metrics for sediment transport models, and monitoring of natural and anthropogenic changes in river systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039219","usgsCitation":"White, J., Bartelt, K., Overstreet, B., and Kelley, J.R., 2025, High resolution mapping of submerged sediment size and suitable salmon spawning habitat using topo-bathymetric Lidar in the Santiam Basin, Oregon: Water Resources Research, v. 61, no. 8, e2024WR039219, 18 p., https://doi.org/10.1029/2024WR039219.","productDescription":"e2024WR039219, 18 p.","ipdsId":"IP-171337","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":494431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039219","text":"Publisher Index Page"},{"id":493640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Santiam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.97986671577394,\n 44.89670062678684\n ],\n [\n -122.97986671577394,\n 44.49916161145734\n ],\n [\n -121.95839049307452,\n 44.49916161145734\n ],\n [\n -121.95839049307452,\n 44.89670062678684\n ],\n [\n -122.97986671577394,\n 44.89670062678684\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"White, James 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":193492,"corporation":false,"usgs":true,"family":"White","given":"James","email":"jameswhite@usgs.gov","affiliations":[],"preferred":true,"id":944920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartelt, Karen Michelle 0000-0003-4012-1694","orcid":"https://orcid.org/0000-0003-4012-1694","contributorId":316325,"corporation":false,"usgs":true,"family":"Bartelt","given":"Karen Michelle","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon 0000-0001-7845-6671 boverstreet@usgs.gov","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":169201,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"boverstreet@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Jacob Ryan 0000-0002-0316-679X","orcid":"https://orcid.org/0000-0002-0316-679X","contributorId":300600,"corporation":false,"usgs":true,"family":"Kelley","given":"Jacob","email":"","middleInitial":"Ryan","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":944923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269820,"text":"gip258 - 2025 - The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network, 2023","interactions":[],"lastModifiedDate":"2026-02-03T14:44:16.4975","indexId":"gip258","displayToPublicDate":"2025-08-04T12:21:13","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"258","displayTitle":"The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network, 2023","title":"The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network, 2023","docAbstract":"The U.S. Geological Survey (USGS) has been a National Atmospheric Deposition Program (NADP) partner agency since 1981. NADP is composed of five atmospheric monitoring networks that verify Clean Air Act effectiveness and provide essential data to protect human health and preserve ecosystems for current and future generations. Stakeholders include land management agencies overseeing sensitive habitats (the National Park Service, Bureau of Land Management, U.S. Forest Service, and Tribes), Federal and State regulatory agencies, and the public.
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Observing Systems Division
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey (USGS) operates a National Water Quality Network (NWQN) to monitor trends in groundwater quality and assess emerging contaminants of concern. It is a “network of networks” with 81 subnetworks being sampled on a decadal time scale. Each year, 8 of the subnetworks are sampled. Subnetworks have 20–30 wells each and include studies of domestic supply wells or shallow groundwater (20–50 feet deep) underlying urban land use or agricultural land use. Currently there are 2,089 wells in the network. All wells are sampled for physical properties, nutrients, major ions, trace elements, per- and polyfluoroalkyl substances (PFAS), and a subset of wells are sampled for pesticides, volatile organic compounds, radionuclides, and microbiological contaminants.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip256","usgsCitation":"Lindsey, B.D., Kingsbury, J.A., and Santangelo, L.M., 2025, The U.S. Geological Survey National Water Quality Network—Groundwater, 2024: U.S. Geological Survey General Information Product 256, https://doi.org/10.3133/gip256.","productDescription":"1 p.","onlineOnly":"Y","ipdsId":"IP-176284","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":493503,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/256/gip256.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 256"},{"id":493502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/256/coverthb.jpg"}],"country":"United States","otherGeospatial":"Contiguous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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Observing Systems Division
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
More than 10 years following the onset of the sea star wasting disease (SSWD) epidemic, affecting over 20 asteroid species from Mexico to Alaska, the causative agent has been elusive. SSWD killed billions of the most susceptible species, sunflower sea stars (Pycnopodia helianthoides), initiating a trophic cascade involving unchecked urchin population growth and the widespread loss of kelp forests. Identifying the causative agent underpins the development of recovery strategies. Here we induced disease and subsequent mortality in exposure experiments using tissue extracts, coelomic fluid and effluent water from wasting sunflower sea stars, with no mortality in controls. Deep sequencing of diseased sea star coelomic fluid samples from experiments and field outbreaks revealed a dominant proportion of reads assigned to the bacterium Vibrio pectenicida. Fulfilling Koch’s postulates, V. pectenicida strain FHCF-3, cultured from the coelomic fluid of a diseased sunflower sea star, caused disease and mortality in exposed sunflower sea stars, demonstrating that it is a causative agent of SSWD. This discovery will enable recovery efforts for sea stars and the ecosystems affected by their decline by facilitating culture-based experimental research and broad-scale screening for pathogen presence and abundance in the laboratory and field.
","language":"English","publisher":"Nature","doi":"10.1038/s41559-025-02797-2","usgsCitation":"Prentice, M.B., Crandall, G., Chan, A.M., Davis, K.M., Hershberger, P., Finke, J.F., Hodin, J., McCracken, A., Kellogg, C.T., Carvalho, R., Prentice, C., Zhong, K.X., Harvell, D., Suttle, C.A., and Gehman, A.M., 2025, Vibrio pectenicida strain FHCF-3 is a causative agent of sea star wasting disease: Nature Ecology & Evolution, v. 9, p. 1739-1751, https://doi.org/10.1038/s41559-025-02797-2.","productDescription":"13 p.","startPage":"1739","endPage":"1751","ipdsId":"IP-174859","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":496267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2025-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Prentice, Melanie B.","contributorId":361921,"corporation":false,"usgs":false,"family":"Prentice","given":"Melanie","middleInitial":"B.","affiliations":[{"id":86390,"text":"The University of British Columbia, Vancouver, Canada; 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The Hakai Institute","active":true,"usgs":false}],"preferred":false,"id":949678,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70271149,"text":"70271149 - 2025 - Three decades of declines restructure butterfly communities in the Midwestern United States","interactions":[],"lastModifiedDate":"2025-08-29T13:36:55.913684","indexId":"70271149","displayToPublicDate":"2025-08-04T08:31:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Three decades of declines restructure butterfly communities in the Midwestern United States","docAbstract":"Insects are declining worldwide, yet gaps remain in our understanding of how declines are distributed across species within communities. 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","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2501340122","usgsCitation":"Leuenberger, W., Doser, J.W., Belitz, M.W., Ries, L., Haddad, N.M., Thogmartin, W.E., and Zipkin, E.F., 2025, Three decades of declines restructure butterfly communities in the Midwestern United States: PNAS, v. 122, no. 33, e2501340122, 8 p., https://doi.org/10.1073/pnas.2501340122.","productDescription":"e2501340122, 8 p.","ipdsId":"IP-173907","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":495176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2501340122","text":"Publisher Index Page"},{"id":495078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, 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","language":"English","publisher":"Springer Nature","doi":"10.1038/s41559-025-02789-2","usgsCitation":"Lafferty, K.D., 2025, Sea star wasting disease mystery finally solved: Nature Ecology and Evolution, v. 9, p. 1552-1553, https://doi.org/10.1038/s41559-025-02789-2.","productDescription":"2 p.","startPage":"1552","endPage":"1553","ipdsId":"IP-179119","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494099,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2025-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":945996,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70270065,"text":"70270065 - 2025 - Coral restoration can drive rapid increases in reef accretion potential","interactions":[],"lastModifiedDate":"2025-08-08T14:51:53.917168","indexId":"70270065","displayToPublicDate":"2025-08-04T07:46:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Coral restoration can drive rapid increases in reef accretion potential","docAbstract":"Coral-reef degradation is disrupting the balance between reef accretion and erosion and threatening the persistence of essential coral-reef habitats. In south Florida, most reefs are already net eroding, and without intervention, valuable ecosystem services may be lost. Coral restoration holds the potential to reverse those trends; however, typical restoration monitoring does not adequately capture key geo-ecological functions. We addressed this knowledge gap using carbonate budgets and Structure-from-Motion models to evaluate the impact of coral restoration on reef-accretion potential and structural complexity at eight offshore and three inshore coral reefs in the Lower Florida Keys. Within 2–6 years following outplanting, restoration of rapidly growing A. cervicornis populations increased reef-accretion potential to 2.8 mm y− 1 and drove significant increases in structural complexity. There was no measurable impact of restoring slower-growing, massive corals on reef-accretion potential inshore; however, whereas the severe 2023 coral-bleaching event immediately following our study caused near-complete mortality of A. cervicornis, 59% of massive corals survived, highlighting potential trade-offs between coral growth and survival on future restoration efficacy. We conclude that although restoration can produce rapid, small-scale increases in reef-accretion potential, there remain important uncertainties about how and whether ecosystem-scale benefits of restoration on important geo-ecological reef functions can persist long term.
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Here, we quantify channel narrowing and vegetation encroachment, which are conspicuous indicators of riverine habitat alteration, along ∼400 km of three dryland tributaries of the upper Colorado River. We conducted a comparative analysis of aerial photographs between the 1930s and 2010s/2020s time periods using visual interpretation and used Light Detection and Ranging (LiDAR) data along with Object-Based Image Analysis (OBIA) to quantify canopy cover of woody riparian species. All three rivers underwent substantial channel narrowing, coinciding with a general decrease in spring floods over time. However, the extent of narrowing varied among the rivers (78 %, 73 %, and 29 %) with greater narrowing corresponding to larger reductions in spring flows. In contrast, contemporary woody cover was similarly high among all three rivers (39 %, 41 %, and 36 %), and a woody vegetation analysis we conducted for one river indicated a substantial increase in vegetation along the active channel (4 %–74 %). These findings underscore a common pattern observed in rivers throughout the basin, where river channels often undergo narrowing and encroachment by invasive vegetation following dam construction and/or decreases in flows, ultimately leading to habitat simplification, with negative implications for native fishes and other riparian biota. Our findings also emphasize that, even in the presence of nonnative vegetation establishment, preserving or restoring large magnitude and long duration floods can help conserve diverse habitat in dryland rivers.
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The Virgin River hosts several native fish species, including two endangered fish, woundfin (Plagopterus argentissimu) and Virgin River chub (Gila seminuda). All native fish species in the lower Virgin River have experienced reductions in population sizes in the last several decades. Reduced stream flow (especially during summer low-flow conditions) often results in increased water temperatures, which can increase mortality, reduce breeding, limit population connectivity, and favor non-native fish species. This study investigated summer water temperatures and flow in the lower Virgin River near Mesquite, Nev., between Littlefield, Ariz., and Bunkerville, Nev., to evaluate how hydrologic conditions could be affecting native fish species. The 3-year monitoring project involved collection of continuous temperature and discrete discharge measurements at 15 sites from 2019 to 2021 during the summer months from June to September. Results indicate that the lower Virgin River is often greater than 5 degrees Celsius (°C) above the established critical thermal maximum of 31 °C, that the cooling effect of the Littlefield springs dissipates quickly downstream, and that water temperature is affected primarily by atmospheric conditions. Discharge and water temperature are poorly related at normal stable flow conditions.
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2730 N. Deer Run Road, Suite 3
Carson City, Nevada 89701
No abstract available.
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Tomczak, M., Berry, N., Ackiss, A.S., Anweiler, K.V., Brant, C., Breaker, B.S., DeBruyne, R.L., Dieter, P.M., Egedy, L., Ellenbeck, M., Faneuff, G., Gerig, B., Glyshaw, P., Hook, T., Hug, J., Jonas, J., Skubik, K., Mette, E., Michaud, G., Pothoven, S.A., Provo, S., Schumacher, J., Skiles, T., Smith, J.B., Tingley, R.W., Tucker, A., Turschak, B., and Warren, L.D., 2025, Sunburned after a day at the beach? Investigation of ultraviolet radiation tissue damage on larval Lake Whitefish and Alewife across lake Michigan nursery habitats of varying water clarities: Stages, no. 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III 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":189812,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","suffix":"III","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":942986,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Tucker, Andrew 0009-0001-4336-589X","orcid":"https://orcid.org/0009-0001-4336-589X","contributorId":347463,"corporation":false,"usgs":false,"family":"Tucker","given":"Andrew","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":942987,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Turschak, Ben","contributorId":257454,"corporation":false,"usgs":false,"family":"Turschak","given":"Ben","email":"","affiliations":[],"preferred":false,"id":942988,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Warren, Les D.","contributorId":344352,"corporation":false,"usgs":false,"family":"Warren","given":"Les","email":"","middleInitial":"D.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":942989,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70272276,"text":"70272276 - 2025 - Lake water storage and level","interactions":[],"lastModifiedDate":"2026-02-27T16:51:30.057812","indexId":"70272276","displayToPublicDate":"2025-08-01T10:48:36","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lake water storage and level","docAbstract":"No abstract available.
","largerWorkTitle":"State of the climate in 2024: Global climate","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-25-0102.1","usgsCitation":"Harlan, M.E., Meyer, M.F., Levenson, E.S., Cooley, S., and Kraemer, B.M., 2025, Lake water storage and level, chap. of State of the climate in 2024: Global climate, v. 106, p. 70-71, https://doi.org/10.1175/BAMS-D-25-0102.1.","productDescription":"2 p.","startPage":"70","endPage":"71","ipdsId":"IP-176782","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":500840,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ueaeprints.uea.ac.uk/id/eprint/100918/","text":"External Repository"},{"id":500653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harlan, Merritt Elizabeth 0000-0002-4019-4888","orcid":"https://orcid.org/0000-0002-4019-4888","contributorId":302672,"corporation":false,"usgs":true,"family":"Harlan","given":"Merritt","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":950640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":950641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levenson, Eric S. 0000-0002-0615-0160","orcid":"https://orcid.org/0000-0002-0615-0160","contributorId":362612,"corporation":false,"usgs":false,"family":"Levenson","given":"Eric","middleInitial":"S.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":950642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooley, Sarah","contributorId":349565,"corporation":false,"usgs":false,"family":"Cooley","given":"Sarah","affiliations":[],"preferred":false,"id":950643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraemer, Benjamin M. 0000-0002-3390-9005","orcid":"https://orcid.org/0000-0002-3390-9005","contributorId":360959,"corporation":false,"usgs":false,"family":"Kraemer","given":"Benjamin","middleInitial":"M.","affiliations":[{"id":33350,"text":"University of Freiburg","active":true,"usgs":false}],"preferred":false,"id":950644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273115,"text":"70273115 - 2025 - Variable partitioning of lithium in rhyolitic melt during decompression and ascent","interactions":[],"lastModifiedDate":"2025-12-16T15:54:26.382187","indexId":"70273115","displayToPublicDate":"2025-08-01T09:48:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Variable partitioning of lithium in rhyolitic melt during decompression and ascent","docAbstract":"The partitioning behavior of Li in magmatic systems is increasingly being investigated due to the economic importance of Li in the transition to sustainable energy resources (e.g., batteries). However, at upper crustal pressures, it remains uncertain whether Li preferentially partitions into the vapor or liquid (brine) phase or remains in the silicate melt. This complicates our ability to determine where Li resides—silicate melt, minerals, or fluid phase—upon eruption, a crucial factor for understanding its postdepositional movement and concentration into a brine or volcano-sedimentary deposit. Here, we present a novel investigation into the behavior of Li within natural evolved melts during continuous magma decompression and ascent using melt embayments (open melt inclusions). Mineral-hosted melt embayments preserve records of the evolving composition of the exterior melt, including degassing pathways and ascent timescales, when paired with appropriate diffusion coefficients. Lithium concentration profiles were measured in quartz-hosted melt embayments from the rapidly quenched eruptive phases of five rhyolitic, caldera-forming eruptions to investigate the behavior of Li during magma decompression and ascent, where vapor partitioning and ascent dynamics were previously established by investigating H2O and CO2 profiles. We find that in four systems, embayments contain lower interior Li concentrations than the coerupted melt inclusions; the fifth system contains the same Li concentrations in embayments and melt inclusions. However, many of these embayments contain gradients, with 84% preserving Li enrichment near the melt-bubble interface, as compared to their interior concentration. We interpret these characteristics to represent two distinct stages of Li partitioning during magma decompression and ascent, in contrast to existing literature that proposes only one type of partitioning behavior. The first stage is interpreted as melt depletion of Li, likely driven by partitioning into an exsolved supercritical fluid phase, supported by the strong correlation between the extent of Li depletion and Cl concentration in the melt, as well as the decompression rate. This behavior then fundamentally shifts, where Li reenriches in the melt, postulated to be driven by the unmixing of the supercritical fluid phase at shallow pressures. For the one system that did not develop Li gradients through decompression, we attribute this to the lower values of Na and Cl in the melt, potentially inhibiting the partitioning of Li into a fluid phase. Importantly, the behavior of Li during decompression is not consistent within or between volcanic centers, highlighting the need for systematic experimental investigation in variable composition melts at pressures relevant to conduit dynamics. This knowledge would improve our ability to model Li profiles to understand magma decompression, and predict where Li resides (e.g., stored in volcanic glass, gas, or crystals) upon eruption prior to any later extraction.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5171","usgsCitation":"Myers, M., Spallanzani, R., Schwartz, D., Mercer, C.N., and Hosseini, B., 2025, Variable partitioning of lithium in rhyolitic melt during decompression and ascent: Economic Geology, v. 120, no. 5, p. 1191-1206, https://doi.org/10.5382/econgeo.5171.","productDescription":"16 p.","startPage":"1191","endPage":"1206","ipdsId":"IP-169836","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.5171","text":"Publisher Index Page"},{"id":497573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Madison 0000-0003-2271-4445","orcid":"https://orcid.org/0000-0003-2271-4445","contributorId":331812,"corporation":false,"usgs":false,"family":"Myers","given":"Madison","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":952376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spallanzani, Roberta","contributorId":364231,"corporation":false,"usgs":false,"family":"Spallanzani","given":"Roberta","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":952377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Darin","contributorId":364233,"corporation":false,"usgs":false,"family":"Schwartz","given":"Darin","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":952378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hosseini, Behnaz","contributorId":364237,"corporation":false,"usgs":false,"family":"Hosseini","given":"Behnaz","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":952380,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269827,"text":"70269827 - 2025 - Forecast, monitor, adapt: A multi-agency strategy to protect people from postfire debris flows","interactions":[],"lastModifiedDate":"2025-08-18T15:24:32.344447","indexId":"70269827","displayToPublicDate":"2025-08-01T09:34:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Forecast, monitor, adapt: A multi-agency strategy to protect people from postfire debris flows","docAbstract":"In 2020, a wildfire burned across Glenwood Canyon in Colorado, USA. A history of postfire debris flows in the region and a hazard assessment for the burn area indicated that potentially life-threatening debris flows could be triggered by rainfall within months of a wildfire. As a result, four government agencies evaluated strategies to help mitigate hazards, including the loss of human life, that may be associated with debris-flow events. After the fire, 26 large debris flows occurred in the summer of 2021 and three sediment-laden flows occurred in the summer of 2023, but there were no major injuries or fatalities reported. We found that integrating hazard assessment/ forecasting, monitoring, and adaptation scenarios was a successful strategy for reducing postfire debris-flow risks to human life (including injuries and fatalities). Weather forecasts and estimates of debris-flow triggering rainfall thresholds, likelihood, and volume were used to anticipate the timing, location, and magnitude of debris-flow events. Rainfall monitoring and detailed recordkeeping of storms that triggered debris flows were used to validate and update debris-flow warning thresholds that varied with time following the wildfire. Although the governmental agencies working in this burn area had distinct and differing agency mandates, they were able to integrate information to reduce the risk of debris-flow events to human life.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GSATG611A.1","usgsCitation":"Rengers, F.K., Kean, J.W., Williams, C.A., Henneberg, M.F., Banta, J.R., Schroder, E., Sponaugle, C., Callery, D., Walter, E., Blake, T., and Staley, D.M., 2025, Forecast, monitor, adapt: A multi-agency strategy to protect people from postfire debris flows: GSA Today, v. 35, no. 8, p. 16-21, https://doi.org/10.1130/GSATG611A.1.","productDescription":"6 p.","startPage":"16","endPage":"21","ipdsId":"IP-168644","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":494429,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/gsatg611a.1","text":"Publisher Index Page"},{"id":493567,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":944733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":944734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":187481,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banta, John R. 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":222710,"corporation":false,"usgs":true,"family":"Banta","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroder, Eric 0000-0002-3902-2704","orcid":"https://orcid.org/0000-0002-3902-2704","contributorId":358993,"corporation":false,"usgs":false,"family":"Schroder","given":"Eric","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":944738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sponaugle, Cara","contributorId":358994,"corporation":false,"usgs":false,"family":"Sponaugle","given":"Cara","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":944739,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Callery, David","contributorId":358996,"corporation":false,"usgs":false,"family":"Callery","given":"David","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":944740,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walter, Erin 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Science Center","active":true,"usgs":true}],"preferred":true,"id":944743,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70269626,"text":"sir20255060 - 2025 - Random forest regression models for estimating low-streamflow statistics at ungaged locations in New York, excluding Long Island","interactions":[],"lastModifiedDate":"2026-04-08T14:23:42.870821","indexId":"sir20255060","displayToPublicDate":"2025-08-01T09:30:00","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":"2025-5060","displayTitle":"Random Forest Regression Models for Estimating Low-Streamflow Statistics at Ungaged Locations in New York, Excluding Long Island","title":"Random forest regression models for estimating low-streamflow statistics at ungaged locations in New York, excluding Long Island","docAbstract":"Models to estimate low-streamflow statistics at ungaged locations in New York, excluding Long Island and including hydrologically connected basins from bordering States, were developed for the first time by the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation. A total of 224 basin characteristics were developed for 213 unaltered streamgages (locations where the human effects on streamflow were limited), across the following categories: basin geometry, climate, land cover, soils, surficial geology, and other characteristics. The basins with unaltered streamgages were evaluated for potential redundancy, and streamgages in close proximity and with similar drainage areas were flagged and removed from the testing and cross-validation datasets to prevent data leaking from the training dataset to the testing dataset.
Random forest regression models were created by using basin characteristics as predictor variables and by developing a workflow to train, tune, and test the model. Models were developed to estimate the ungaged lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years (7Q10 and 30Q10). The top four basin characteristics used for the 7Q10 and 30Q10 models were drainage area, total stream length, perimeter of the basin, and length of the longest flow path. Results for the 7Q10 and 30Q10 models had coefficients of determination (R2) of 0.796 and 0.853, respectively. The output model results were bias-corrected for ungaged locations across New York and are available within the interactive StreamStats tool.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255060","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Stagnitta, T.J., Woda, J.C., and Graziano, A.P., 2025, Random forest regression models for estimating low-streamflow statistics at ungaged locations in New York, excluding Long Island: U.S. Geological Survey Scientific Investigations Report 2025–5060, 23 p., https://doi.org/10.3133/sir20255060.","productDescription":"Report: v, 23 p.; 2 Data Releases","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167540","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":492987,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P146MTRS","text":"USGS data release","linkHelpText":"Random forest regression model archive for estimating low-streamflow statistics at ungaged locations in New York, excluding Long Island"},{"id":492986,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NOM6FR","text":"USGS data release","linkHelpText":"Low-flow statistics for New York State, excluding Long Island, computed through March 2022"},{"id":492985,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5060/images/"},{"id":492988,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245055","text":"Scientific Investigations Report 2024–5055","linkHelpText":"- Low-Flow Statistics for Selected Streams in New York, Excluding Long Island"},{"id":492984,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5060/sir20255060.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5060 XML"},{"id":492983,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255060/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5060 HTML"},{"id":492981,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5060/coverthb.jpg"},{"id":492982,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5060/sir20255060.pdf","text":"Report","size":"8.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5060 PDF"},{"id":492989,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://streamstats.usgs.gov/ss/","text":"StreamStats"}],"country":"United States","state":"New York","otherGeospatial":"New York excluding Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.8668360740237,\n 40.82174116460561\n ],\n [\n -73.64101370770591,\n 40.97341618058218\n ],\n [\n -73.641675229166,\n 41.369110620239354\n ],\n [\n -73.44442715633755,\n 41.42737341824312\n ],\n [\n -73.23400688811246,\n 42.735562128301694\n ],\n [\n -73.28689303884832,\n 45.063167069767246\n ],\n [\n -74.92263898531354,\n 45.049241271408505\n ],\n [\n -76.59790269295956,\n 44.152600935032865\n ],\n [\n -76.27472597825448,\n 43.63979148650773\n ],\n [\n -76.9594903941915,\n 43.33322253590592\n ],\n [\n -78.50182350844328,\n 43.459456447836146\n ],\n [\n -79.39789785747713,\n 43.19859290777666\n ],\n [\n -78.90328998597391,\n 42.86522759603616\n ],\n [\n -79.82520290314585,\n 42.24436339597355\n ],\n [\n -79.76467975802953,\n 41.964093469327736\n ],\n [\n -75.37056382699097,\n 42.00382656329654\n ],\n [\n -74.98586389700988,\n 41.54435731278656\n ],\n [\n -73.999903714982,\n 41.001270702844295\n ],\n [\n -73.96336292917533,\n 40.82357491793678\n ],\n [\n -73.8668360740237,\n 40.82174116460561\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Pseudogymnoascus destructans (Pd), the causative agent of white-nose syndrome (WNS) in bats, has caused serious declines in bat populations across North America. We conducted WNS surveillance in five different park units in the North Coast and Cascades Network (NCCN) from 2016 to 2024, following the initial detection of Pd and WNS in Washington State in 2016. We captured and swabbed bats, swabbed roost materials, and collected guano and tested these samples for Pd DNA using qPCR. We confirmed WNS through histopathology of tissue samples and carcasses. We detected Pd at five locations in Mount Rainier National Park, starting in 2017. We confirmed WNS at four of these locations, with the first clinical signs detected in 2022. We detected Pd for the first time in Olympic and North Cascades National Parks in 2024. From these efforts, we generated information that can be compared to other datasets, helping us advance our knowledge of WNS/Pd epidemiology. We also conducted three field and laboratory-based experiments to inform early detection/rapid response (EDRR) planning. The first was a field experiment using non-infective Pd DNA to evaluate the rate of DNA degradation and the probability of detecting Pd DNA in the field. Experimental degradation rates for Pd DNA ranged from 1.6% to 8.2% and were lower in protected sites. The second was a laboratory-based experiment to understand Pd growth on four different substrates. We detected increasing levels of Pd in autoclaved guano and in plywood, suggesting these substrates may be environmental reservoirs. Pd remained stable in fresh guano but in soil it decreased, suggesting microbial interactions that may influence Pd growth in these substrates. We also collected wood shavings from a Pd positive bat box in June and August to evaluate viable Pd persistence in wood in a summer roost. Despite the characterization that Pd required cold conditions to persist, viable Pd was present in wood shavings collected during the summer season. Finally, we evaluated the National White-Nose Syndrome Decontamination Protocol through experiments. We found that ethanol was not effective as a sporicidal agent in any of the concentrations we tested and that a 1:10 dilution of bleach did not kill Pd spores, though higher concentrations did. These findings resulted in changes to the national protocol.
","language":"English","publisher":"National Park Service","doi":"10.36967/2314473","usgsCitation":"Chestnut, T., Urbina, J., Hansen, M.E., McCaffery, R.M., Rhea-Fournier, D.J., Allen, J., and Levi, T., 2025, White-nose syndrome surveillance and bat monitoring activities in North Coast and Cascades Network parks 2016–2024: Science Report NPS/SR-2025/340, x, 52 p., https://doi.org/10.36967/2314473.","productDescription":"x, 52 p.","ipdsId":"IP-175067","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":495308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"North Coast and Cascades Network","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.78943923322424,\n 49.02810935945061\n ],\n [\n -123.06047794055165,\n 48.97640128667916\n ],\n [\n -123.40077512551461,\n 48.836309180578326\n ],\n [\n -123.34080643131713,\n 48.277542765315246\n ],\n [\n -124.80221188220374,\n 48.434572735416\n ],\n [\n -124.57490062136836,\n 45.7863792724126\n ],\n [\n -119.78943923322424,\n 45.7863792724126\n ],\n [\n -119.78943923322424,\n 49.02810935945061\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chestnut, Tara","contributorId":264792,"corporation":false,"usgs":false,"family":"Chestnut","given":"Tara","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":948356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urbina, Jenny","contributorId":361186,"corporation":false,"usgs":false,"family":"Urbina","given":"Jenny","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":948357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Michael Elizabeth 0009-0001-7148-4191","orcid":"https://orcid.org/0009-0001-7148-4191","contributorId":361187,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","middleInitial":"Elizabeth","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rhea-Fournier, Dylan J.","contributorId":361191,"corporation":false,"usgs":false,"family":"Rhea-Fournier","given":"Dylan","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":948360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Jennifer","contributorId":350828,"corporation":false,"usgs":false,"family":"Allen","given":"Jennifer","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":948361,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Levi, Taal","contributorId":191295,"corporation":false,"usgs":false,"family":"Levi","given":"Taal","email":"","affiliations":[],"preferred":false,"id":948362,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272676,"text":"70272676 - 2025 - Living with wildfire in Montrose County, Colorado: 2023 Data report","interactions":[],"lastModifiedDate":"2025-12-04T15:17:11.641649","indexId":"70272676","displayToPublicDate":"2025-08-01T09:12:33","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-107","title":"Living with wildfire in Montrose County, Colorado: 2023 Data report","docAbstract":"During 2022–2024, the Wildfire Research (WiRē) Center partnered with the West Region Wildfire Council (WRWC) to learn more about parcel-level wildfire risk in Montrose County, Colorado. This research project was part of a larger, sustained collaboration between WiRē and the WRWC, moving the focus from areas typically characterized as fire-prone due to heavily treed and steep topography, into an area with relatively gentle topography and lighter fuels. The study area borders and includes northern portions of Ouray County that fall within the service area of Montrose County Fire Protection District. The area was of particular interest to the WRWC because it lacks some of the social infrastructure typically leveraged to build community relationships, such as Homeowners Associations, and the WRWC sought to build understanding in order to provide a foundation to foster stronger ties to pursue wildfire risk reduction. The study also presented an opportunity to help assess interest in the WRWC’s cost share program intended to facilitate risk mitigation action on private properties.
","language":"English","publisher":"USDA Forest Service Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-107","usgsCitation":"Brenkert-Smith, H., Johnson, A., Wittenbrink, S., Donovan, C., Kuehn, J., Meldrum, J., Champ, P.A., Barth, C.M., Wagner, C., and Taniguchi, C., 2025, Living with wildfire in Montrose County, Colorado: 2023 Data report: Research Note RMRS-RN-107, vi, 142 p., https://doi.org/10.2737/RMRS-RN-107.","productDescription":"vi, 142 p.","ipdsId":"IP-176099","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":497051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United tStates","state":"Colorado","county":"Montrose 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Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":951293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Aaron","contributorId":304596,"corporation":false,"usgs":false,"family":"Johnson","given":"Aaron","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":951294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":951295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":951296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":951297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":951299,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barth, Christopher M.","contributorId":363217,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":951300,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":951301,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taniguchi, Christine","contributorId":355605,"corporation":false,"usgs":false,"family":"Taniguchi","given":"Christine","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":951302,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70269915,"text":"70269915 - 2025 - A single nucleotide polymorphism panel for identifying North American species and hybrids in the genus Morone","interactions":[],"lastModifiedDate":"2025-11-20T16:48:05.834947","indexId":"70269915","displayToPublicDate":"2025-08-01T08:58:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"A single nucleotide polymorphism panel for identifying North American species and hybrids in the genus Morone","docAbstract":"Four species of the fish genus Morone exist in North America and are often the focus of management actions, including propagation and stocking of their hybrids. We have developed an amplicon-based single nucleotide polymorphism (SNP) genotyping panel that provides the ability to distinguish all four species and the commonly stocked M. chrysops x M. saxatilis hybrid using a set of 47 SNPs. This resource provides a means of cost effective, high confidence genetic species identification that may aid management and conservation efforts for North American Morone species.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12686-025-01399-1","usgsCitation":"Homola, J., Boehm, H.I., Albosta, P., and Paukert, C., 2025, A single nucleotide polymorphism panel for identifying North American species and hybrids in the genus Morone: Conservation Genetics Resources, v. 17, p. 161-163, https://doi.org/10.1007/s12686-025-01399-1.","productDescription":"3 p.","startPage":"161","endPage":"163","ipdsId":"IP-170735","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494440,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12686-025-01399-1","text":"Publisher Index Page"},{"id":493723,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.56999468794557,\n 52.20495766969856\n ],\n [\n -97.56999468794557,\n 25.076014112513676\n ],\n [\n -61.886849632046136,\n 25.076014112513676\n ],\n [\n -61.886849632046136,\n 52.20495766969856\n ],\n [\n -97.56999468794557,\n 52.20495766969856\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2025-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Homola, Jared","contributorId":243197,"corporation":false,"usgs":false,"family":"Homola","given":"Jared","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":944938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehm, Hadley I.A.","contributorId":359064,"corporation":false,"usgs":false,"family":"Boehm","given":"Hadley","middleInitial":"I.A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":944939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albosta, Paul","contributorId":359065,"corporation":false,"usgs":false,"family":"Albosta","given":"Paul","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":944940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":268045,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":944941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270863,"text":"70270863 - 2025 - Representing 3-dimensional fuels for physics-based fire behavior models: A general framework and case study in a type-converted post-fire shrubfield","interactions":[],"lastModifiedDate":"2025-08-26T15:57:07.631634","indexId":"70270863","displayToPublicDate":"2025-08-01T08:50:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Representing 3-dimensional fuels for physics-based fire behavior models: A general framework and case study in a type-converted post-fire shrubfield","docAbstract":"Background
Physics-based three-dimensional (3D) fire behavior models improve planning for prescribed fire application and wildfire mitigation, but require high spatial resolution 3D fuel models as inputs. While multiple methods and data sources for realistically representing 3D, heterogeneous fuels are available, no unifying framework exists to guide the use of these tools to create 3D fuel models across gradients of vegetation characteristics and data availability. Existing data and methods are most uncertain for mid-level fuels (e.g., shrubs and small trees), due to canopy obstruction of remotely sensed data and a relative lack of modeling efforts. Yet, mid-level fuels are especially important as potential ladder fuels and increasingly common as the dominant fuel in type-converted, post-fire, shrub-dominated landscapes.
Results
Here we introduce the Framework for Representing 3D Fuels (FR3D), a general framework for combining multiple data sources and methods to construct 3D fuel models for forested and unforested landscapes. We then demonstrate FR3D in a case study to build a 3D fuelbed model in a post-fire, shrub-dominated landscape using three new methods for deriving mid-level shrub fuels from: (1) Airborne Laser Scanning (ALS), (2) imputation of Terrestrial Laser Scanning (TLS), and (3) generative modeling of TLS. We compare the resulting fuel models and examine how they affected simulated 3D fire behavior using QUIC-Fire. While each method represented the broad landscape patterning of shrubs, differences in shrub loading, height, and cover highlighted advantages and drawbacks of the different methods. Modeled fire behavior was realistic for all fuel representation methods, but rate of spread and fine fuel consumption was sensitive to the different arrangements of shrubs.
Conclusions
The sensitivity of fire behavior to shrub modeling methods emphasizes the need for fuel models that faithfully represent local fuelbed characteristics and conditions, and highlights the value in testing a range of modeled fuels to understand the potential range of prescribed fire outcomes. FR3D and novel methods of modeling mid-level fuel provide a foundation for tool integration efforts and increased site-specificity of fuel representation for physics-based fire models.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-025-00383-2","usgsCitation":"Tutland, N., Wion, A.P., May, C.J., Hutchings, G.C., Nowak, H., Gattiker, J.R., Hiers, J.K., Linn, R.R., Pokswinski, S.M., and Margolis, E.Q., 2025, Representing 3-dimensional fuels for physics-based fire behavior models: A general framework and case study in a type-converted post-fire shrubfield: Fire Ecology, v. 21, 43, 18 p., https://doi.org/10.1186/s42408-025-00383-2.","productDescription":"43, 18 p.","ipdsId":"IP-176508","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00383-2","text":"Publisher Index Page"},{"id":494909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Sanchez Canyon, Santa Fe National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.03368207720807,\n 36.27913419354171\n ],\n [\n -107.03368207720807,\n 35.6434439241678\n ],\n [\n -106.074466969809,\n 35.6434439241678\n ],\n [\n -106.074466969809,\n 36.27913419354171\n ],\n [\n -107.03368207720807,\n 36.27913419354171\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Tutland, Niko","contributorId":360588,"corporation":false,"usgs":false,"family":"Tutland","given":"Niko","affiliations":[{"id":86045,"text":"New Mexico Consortium","active":true,"usgs":false}],"preferred":false,"id":947236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wion, Andreas Paul 0000-0002-0701-2843","orcid":"https://orcid.org/0000-0002-0701-2843","contributorId":335166,"corporation":false,"usgs":true,"family":"Wion","given":"Andreas","email":"","middleInitial":"Paul","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Carolina Jasmine 0009-0005-1667-109X","orcid":"https://orcid.org/0009-0005-1667-109X","contributorId":360589,"corporation":false,"usgs":true,"family":"May","given":"Carolina","middleInitial":"Jasmine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchings, Grant C.","contributorId":360590,"corporation":false,"usgs":false,"family":"Hutchings","given":"Grant","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":947239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowak, Hope","contributorId":360591,"corporation":false,"usgs":false,"family":"Nowak","given":"Hope","affiliations":[{"id":7197,"text":"Unaffiliated","active":true,"usgs":false}],"preferred":false,"id":947240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gattiker, James R.","contributorId":360592,"corporation":false,"usgs":false,"family":"Gattiker","given":"James","middleInitial":"R.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":947241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hiers, J. Kevin","contributorId":360593,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","middleInitial":"Kevin","affiliations":[{"id":86048,"text":"Strategic Environmental Research and Development Program","active":true,"usgs":false}],"preferred":false,"id":947242,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Linn, Rodman R.","contributorId":360594,"corporation":false,"usgs":false,"family":"Linn","given":"Rodman","middleInitial":"R.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":947243,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pokswinski, Scott M.","contributorId":360595,"corporation":false,"usgs":false,"family":"Pokswinski","given":"Scott","middleInitial":"M.","affiliations":[{"id":86045,"text":"New Mexico Consortium","active":true,"usgs":false}],"preferred":false,"id":947244,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947245,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70269834,"text":"70269834 - 2025 - Evaluating trends using total impervious cover as a metric for degree of urbanisation","interactions":[],"lastModifiedDate":"2025-08-06T14:01:24.238458","indexId":"70269834","displayToPublicDate":"2025-08-01T07:42:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating trends using total impervious cover as a metric for degree of urbanisation","docAbstract":"Impervious cover (IC) is a common metric for assessing the degree of urbanisation in watersheds. However, there are different methods for determining IC, and use of IC correlation with urban watershed response to hydrologic and geochemical inputs can be strongly influenced by the end members (IC below 10% and above 40%). The resolution of the imagery (e.g., 1 m vs. 30 m) used to measure IC can influence the estimate of IC, with differences up to 15% observed between these two resolutions for 21 watersheds along the east coast of the United States. The differences are greatest in the middle range between 10% and 40% IC. When using IC for correlation with urban watershed responses such as discharge flashiness or median solute concentrations, fits with R2 between 0.4 and 0.78 were obtained when including end members of IC from 0% to 50%. However, when trying to distinguish behaviour between urban watersheds that fall in the middle ranges of IC, these same parameters do not correlate well with IC. Correlations fail significance tests, can switch direction, and fall below an R2 of 0.1 without the end members of very low or very high IC. Because of improved accuracy, the finest resolution is preferred when available, and mixing IC estimation methods should be avoided. Furthermore, using regressions that include end members may not contribute to differentiating how IC in the 10%–40% range impacts hydrologic and geochemical responses in urban watersheds. Understanding this middle range of IC is important for comparing urban and suburban watersheds or planning watershed development to minimise impacts.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70219","usgsCitation":"Toran, L., Bain, D., Hopkins, K.G., Moore, J., and O'Donnell, E., 2025, Evaluating trends using total impervious cover as a metric for degree of urbanisation: Hydrological Processes, v. 39, no. 8, e70219, 9 p., https://doi.org/10.1002/hyp.70219.","productDescription":"e70219, 9 p.","ipdsId":"IP-173375","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":493566,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Georgia, Maryland, New Jersy, New York, North Carolina, Pennsylvania, South Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.45193313117295,\n 42.0101128534981\n ],\n [\n -85.58729060621017,\n 34.888304090891616\n ],\n [\n -84.9939132978826,\n 30.977848324458122\n ],\n [\n -81.00584486613695,\n 30.56241422580763\n ],\n [\n -75.17472217306889,\n 35.436628690715224\n ],\n [\n -72.87437915762574,\n 41.18374638044904\n ],\n [\n -76.45193313117295,\n 42.0101128534981\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":944750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bain, Daniel","contributorId":359003,"corporation":false,"usgs":false,"family":"Bain","given":"Daniel","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":944751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Joel","contributorId":49034,"corporation":false,"usgs":false,"family":"Moore","given":"Joel","affiliations":[],"preferred":false,"id":944753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Donnell, Emily May 0000-0002-3202-159X","orcid":"https://orcid.org/0000-0002-3202-159X","contributorId":359005,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Emily May","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944754,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269722,"text":"ofr20251035 - 2025 - Decision-support modeling and research priorities for establishing baseline conditions for outstandingly remarkable values, Obed Wild and Scenic River, Tennessee","interactions":[],"lastModifiedDate":"2026-02-03T14:41:11.637733","indexId":"ofr20251035","displayToPublicDate":"2025-08-01T07:31:50","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":"2025-1035","displayTitle":"Decision-Support Modeling and Research Priorities for Establishing Baseline Conditions for Outstandingly Remarkable Values, Obed Wild and Scenic River, Tennessee","title":"Decision-support modeling and research priorities for establishing baseline conditions for outstandingly remarkable values, Obed Wild and Scenic River, Tennessee","docAbstract":"The Obed River is the last undammed river in Tennessee. The Obed Wild and Scenic River is managed by the National Park Service and covers a protected area of the Obed River headwaters (including four contributing tributaries). The Obed Wild and Scenic River supports a unique ecosystem with eight federally listed species. The National Park Service is responsible for preserving the baseline free-flowing condition of the river and associated outstandingly remarkable values (ORVs). Previous studies have been mostly project-based with differing methods, thus complicating efforts to quantify long-term changes in environmental conditions. This report presents a science plan summarizing (1) ORV conditions, (2) recent results of a decision-support hydrologic model for OBRI, and (3) possible future research priorities. The decision-support model was created to model streamflow conditions and changes in the ORVs since park establishment in 1976 and during three additional time periods. Established baseline conditions could help with management of ORVs not dependent on streamflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251035","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service","programNote":"Water Availability and Use Science Program","usgsCitation":"Crowley-Ornelas, E.R., Schapansky, R., Blount, T., and Nicholas, N.S., 2025, Decision-support modeling and research priorities for establishing baseline conditions for outstandingly remarkable values, Obed Wild and Scenic River, Tennessee: U.S. Geological Survey Open-File Report 2025–1035, 18 p., https://doi.org/10.3133/ofr20251035.","productDescription":"viii, 18 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-160489","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":493199,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251035/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1035 HTML"},{"id":493198,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1035/ofr20251035.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1035 XML"},{"id":493197,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1035/ofr20251035.pdf","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1035"},{"id":493200,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1035/images"},{"id":493196,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1035/coverthb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Obed Wild and Scenic River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.95125744767695,\n 36.150994941624745\n ],\n [\n -84.95125744767695,\n 36.049079144332424\n ],\n [\n -84.64800767968804,\n 36.049079144332424\n ],\n [\n -84.64800767968804,\n 36.150994941624745\n ],\n [\n -84.95125744767695,\n 36.150994941624745\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"