Five years after the deadly and destructive 9 January 2018 Montecito debris flows (Santa Barbara County, California, USA), an atmospheric river storm on 9 January 2023 triggered widespread landsliding that affected many of the same drainages in the Santa Ynez Mountains. Using high-resolution aerial imagery, we identified >10,000 landslides over an ∼160 km2 area. Most of the landslides were shallow (<1 m in depth) translational debris slides that initiated on steep (∼40°), south-facing hillslopes, with the highest incidence of landsliding in a sandstone-dominated bedrock unit. The landslides mobilized into debris flows and delivered substantial quantities of sediment downstream, which contributed to costly infrastructure impairments. We detected order-of-magnitude differences in landslide density across the study area that could not be attributed to variations in geomorphology (topographic aspect and slope), geology (bedrock type), or hydrology (seasonal antecedent rainfall, peak hourly storm rainfall intensity, total storm rainfall), which are usually considered relevant factors for shallow landsliding. Rather, we found that vegetation regrowth following wildfire was likely a relevant factor associated with the highly variable landslide densities. Hillslopes with less and different types of vegetation regrowth after fire appear to have been more susceptible to shallow landslides. We identify a possible vegetation control on postfire landsliding, which highlights an opportunity for hypothesis testing using more advanced techniques to track the evolution of vegetation cover and vegetation type in steep shrubland environments following wildfire.
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Among these species, Aedes albopictus, a highly invasive vector of flaviviruses, has spread extensively across the RPI via human-mediated dispersal, posing significant health and economic burdens. While the population structure and the degree of gene flow between mosquito populations can inform the dispersal pathways critical for disease vector management, the population genetics of Ae. albopictus in Northern RPI remains understudied. The present work investigated the population structure and connectivity of Ae. albopictus populations from Guam, Hawaiian Islands, and the Republic of the Marshall Islands (RMI) to inform disease and vector-based biosecurity risks and develop targeted management strategies. This is the first assessment to develop and analyze whole genome sequences of Ae. albopictus for RPI, enabling more accurate estimates of differentiation, admixture, and ancestry. We found distinct genetic clustering between regions, distinct ancestry of populations across RPI, and potential invasions that originated from Hawaii and spread into the RMI, and invasions from North America that spread to Guam. These findings can inform biosecurity protocols to limit the invasion of Ae. albopictus and their associated diseases within Hawaii and around the Pacific. Given the significant degree of genetic differentiation, we found between islets, islands, and regions, the genome data from this study can be used to enable the development of locally confined geographically isolated gene drives. These drives may be used to prevent and control outbreaks of dengue, chikungunya, and Zika, diseases that have had devastating consequences in these remote island communities.
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Here, coastal tundra ecosystems, wildlife, and indigenous communities are highly vulnerable to sea-ice loss in the Bering Sea, sea-level rise, storm flooding, erosion, and collapsing ground from permafrost thaw caused by climate warming. These drivers interact in non-linear ways to increase flooding, salinization, and sedimentation, and thus, alter ecosystem trajectories and broader landscape evolution. Rapid changes in these factors over decadal time scales are highly likely to cause transformative shifts in coastal ecosystems across roughly 70% of the outer delta this century. We project saline and brackish ecotypes on the active delta floodplain with frequent sedimentation will maintain dynamic equilibrium with sea-level rise and flooding, slightly brackish ecotypes on the inactive floodplain with infrequent flooding and low sedimentation rates will be vulnerable to increased flooding and likely transition to more saline and brackish ecotypes, and fresh lacustrine and lowland ecotypes on the abandoned floodplain with permafrost plateaus will be vulnerable to thermokarst, salinization and flooding that will shift them toward brackish ecosystems. This will greatly affect bird nesting and foraging habitats, with both winners and losers. Already, some Yup'ik communities are facing relocation of their low-lying villages. The societal challenges and consequences of adapting to these changing landscapes are enormous and will require a huge societal effort.
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2025 - Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado","interactions":[],"lastModifiedDate":"2025-08-13T13:31:47.444734","indexId":"70270202","displayToPublicDate":"2025-08-11T08:26:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado","title":"Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado","docAbstract":"We present methods to reconstruct historical chlorophyll a and surface water temperatures from satellite-based remote sensing products for Blue Mesa Reservoir, Colorado, to support algal bloom monitoring. A machine learning model was trained to construct chlorophyll a concentrations from Sentinel-2 satellite imagery and in situ measurements of chlorophyll a concentrations (out of bag RMSE = 1.9 μg/L, R2 = 0.63) and reconstruct summertime chlorophyll a concentrations over the entire reservoir from 2016 through 2023. Concurrently, we developed an approach to retrieve remotely sensed water temperatures from the Landsat collection 2 provisional surface temperature product (MAE = 0.6°C) and reconstructed summertime surface water temperature records from 2000 through 2023. Finally, we demonstrate how the reconstructed chlorophyll a and temperature records can yield insight on reservoir dynamics. The chlorophyll a records indicate that algal blooms have a consistent spatial pattern across multiple years, initiating in the eastern end of the reservoir and spreading to the west over time. Water temperatures increased at a linearized rate of 0.3°C per decade from 2000 through 2023 and were inversely proportional to reservoir water surface elevation. Finally, mean summer remotely sensed chlorophyll a concentration had a moderately positive correlation with mean summer remotely sensed water temperature.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70038","usgsCitation":"King, T.V., Bean, R., Walton-Day, K., Mast, M.A., Gohring, E.J., Gidley, R.G., Day, N.K., and Gibney, N., 2025, Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado: Journal of the American Water Resources Association, v. 61, no. 4, e70038, 19 p., https://doi.org/10.1111/1752-1688.70038.","productDescription":"e70038, 19 p.","ipdsId":"IP-157284","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":494445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70038","text":"Publisher Index Page"},{"id":494016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Gunnison County","otherGeospatial":"Blue Mesa Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.35295276247045,\n 38.535074315629544\n ],\n [\n -107.35295276247045,\n 38.430806876675575\n ],\n [\n -107.03469816287091,\n 38.430806876675575\n ],\n [\n -107.03469816287091,\n 38.535074315629544\n ],\n [\n -107.35295276247045,\n 38.535074315629544\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Robert Allen 0000-0001-5940-9757","orcid":"https://orcid.org/0000-0001-5940-9757","contributorId":344328,"corporation":false,"usgs":true,"family":"Bean","given":"Robert Allen","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":336569,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mast, M. 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Understanding the nature and frequency of such earthquakes is necessary for seismic and tsunami hazard assessment, but instrumental and historical records that span less than 150 years are too short to allow a statistically reliable analysis of earthquake recurrence times. This calls for studies of evidence of past earthquakes, extending the earthquake catalog further back in time. Subduction-zone paleoseismology in south-central Alaska is predominantly based on coastal evidence of land-level changes and tsunamis generated by megathrust earthquakes and preserved in the geological record. A complementary approach is lacustrine paleoseismology, which is still a relatively young discipline in Alaska. However, globally, lake basins are well-established high-resolution and continuous recorders of paleoseismic activity along subduction zones, relying on the identification of underwater landslide deposits and turbidites generated by seismic shaking. As a result, lake basins not only register ground shaking from megathrust earthquakes, but also from intraslab and crustal earthquakes, which are typically not accompanied by significant land-level changes. In this review paper, we combine coastal and lacustrine paleoseismology approaches to refine the south-central Alaskan earthquake history by comparing the paleoseismic records from two lakes (i.e., Eklutna Lake, located in the Chugach Mountain Range, and Skilak Lake, situated on the Kenai Peninsula) with the coastal and crustal earthquake catalog in Alaska. The resulting age ranges of all known megathrust earthquakes involving the Alaskan megathrust between the Kodiak and Prince William Sound (PWS) sections are more precise and accurate for the last 1.3 kyrs BP than the previously published age ranges from coastal records. As a result, this study supports the following key conclusions: (1) The 1964 CE earthquake was an exceptionally strong and unique event in the last 2000 years, rupturing the PWS, Kenai, Barren Islands, and Kodiak sections simultaneously. (2) The high-resolution and seasonal markings of the varved lake records now disentangle for the first time closely timed earthquakes, which was not possible based on the coastal evidence alone. (3) No persistent megathrust rupture boundaries exist. So, the possibility of a full rupture of the entire eastern AASZ, from PWS to Semidi cannot be excluded. (4) The rupture pattern in the eastern AASZ reveals superimposed cycles of multi-asperity ruptures (1964 earthquake) and clustered complementary partial ruptures, or rupture cascades. (5) The PWS section hosts the largest asperity in the eastern AASZ. (6) The shaking record of megathrust earthquakes indicates a time-dependent (quasiperiodic) behavior for the study area, but the observation of complementary clusters means that the hazards will not drop to zero but instead may even increase for a neighboring section. (7) The time-independent behavior of intraplate earthquakes implies that the intraslab hazard did not decrease following the 2016 and 2018 earthquakes. This study utilizes an integrated approach for subduction zone paleoseismology as a solution for unraveling recurrence and rupture patterns in Alaska, which can be applied worldwide.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105249","usgsCitation":"Praet, N., Van Daele, M., Wils, K., Haeussler, P., Witter, R.C., McKay, N.P., Jensen, B.J., Moernaut, J., and De Batist, M., 2025, Refining the earthquake history of south-central Alaska through lake records: Earth Science Reviews, v. 271, 105249, 47 p., https://doi.org/10.1016/j.earscirev.2025.105249.","productDescription":"105249, 47 p.","ipdsId":"IP-178908","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":500228,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105249","text":"External Repository"},{"id":498605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"south-central Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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hydrology, especially in urban areas. Urban infrastructure and water management alter natural hydrological pathways in developed watersheds, which can violate assumptions of a watershed approach to ecosystem science. We focus on two aspects of urban landscapes that often create challenges to model watershed processes within and among urban areas: (1) accurate delineation of urban flow paths and (2) consistent characterisation of the urban landscape within and among cities. Here, we describe these challenges and identify how certain components of these challenges can be addressed, highlighting examples and lessons learned in a project that is assessing scales and drivers of variability in dissolved organic carbon across five urban centres in the United States. Our goal is to facilitate a dialogue that will advance the applications of watershed approaches in urban ecosystem science by recognising and addressing these challenges. Our examples focus on the United States but could be applicable to similar urban challenges in other locations globally.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70221","usgsCitation":"Hopkins, K.G., Hale, R., Capps, K., Kominoski, J., Morse, J., Roy, A.H., Blinn, A., Chen, S., Ortiz Muñoz, L., Quick, A., and Rudolph, J., 2025, Overcoming challenges in mapping hydrography and heterogeneity in urban landscapes: Hydrological Processes, v. 39, no. 8, e70221, 12 p., https://doi.org/10.1002/hyp.70221.","productDescription":"e70221, 12 p.","ipdsId":"IP-177098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":493953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Massachusetts, Utah","city":"Boston, Miami, Salt Lake City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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We used complementary analyses to decouple effects of methylmercury (MeHg) and amphibian chytrid fungus (Bd) on survival of Columbia Spotted Frogs (Rana luteiventris) during a 5-year capture-mark-recapture study. We also evaluated whether effects on apparent survival were mediated through physiological responses (corticosterone, CORT). While Bd was unrelated to frog survival, geometric mean MeHg bioaccumulation in our population (164 ng/g) reduced survival by ~20%. Baseline CORT was negatively associated, and stress-induced CORT was positively associated with higher MeHg, suggesting that MeHg dysregulated glucocorticoid physiology. Survival was positively associated with higher baseline CORT, whereas survival was negatively associated with higher stress-induced CORT. Our results provide rare evidence linking CORT and long-term survival of wild vertebrates and that environmentally relevant concentrations of MeHg can influence survival of free-ranging amphibians, and these effects may be mediated by CORT.
","language":"English","publisher":"Wiley","doi":"10.1002/wll2.70015","usgsCitation":"Tornabene, B.J., Kain, M.P., Breuner, C.W., Eagles-Smith, C., Eby, L.A., Hinderer, R.K., Smalling, K., and Hossack, B., 2025, Decoupling the roles of corticosterone in mediating effects of methylmercury and chytrid fungus on amphibian survival: Wildlife Letters, v. 3, no. 4, p. 143-151, https://doi.org/10.1002/wll2.70015.","productDescription":"9 p.","startPage":"143","endPage":"151","ipdsId":"IP-175225","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":494094,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494448,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wll2.70015","text":"Publisher Index Page"}],"country":"United States","state":"Montana","city":"Greenough","volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Tornabene, Brian J. 0000-0002-2348-3119","orcid":"https://orcid.org/0000-0002-2348-3119","contributorId":303977,"corporation":false,"usgs":true,"family":"Tornabene","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kain, Morgan P.","contributorId":359626,"corporation":false,"usgs":false,"family":"Kain","given":"Morgan","middleInitial":"P.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":945974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breuner, Creagh W.","contributorId":359629,"corporation":false,"usgs":false,"family":"Breuner","given":"Creagh","middleInitial":"W.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":945975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagles-Smith, Collin 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":215925,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":945976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eby, Lisa A.","contributorId":359632,"corporation":false,"usgs":false,"family":"Eby","given":"Lisa","middleInitial":"A.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":945977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinderer, Ross K.","contributorId":359635,"corporation":false,"usgs":false,"family":"Hinderer","given":"Ross","middleInitial":"K.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":945978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hossack, Blake 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":207343,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":945980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70270223,"text":"70270223 - 2025 - Waning greenhouse gas emissions from U.S. Federal lease coal production by the mid-21st century","interactions":[],"lastModifiedDate":"2025-08-13T14:25:43.114551","indexId":"70270223","displayToPublicDate":"2025-08-10T09:19:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Waning greenhouse gas emissions from U.S. Federal lease coal production by the mid-21st century","docAbstract":"This study presents estimates of future years (2024–2051) United States Federal lease coal production and the resulting greenhouse gas (GHG) emissions from the combustion, transport, and mining of that fuel. Results from the coal production estimate indicate a decline in production from Federal leases; with known production of 240 million short tons (mtn) in 2023 and a projected decline to 34.0 mtn by 2051, which represents a reduction to 14.2% of the 2023 value. In parallel with this projection, total GHG emissions are estimated to decrease from 402.2 million metric tons of carbon dioxide equivalent (MMT CO2 eq.) in 2024 to 55.0 MMT CO2 eq. in 2051, a decline to 13.7% of 2024 emissions estimates. The reductions in coal production and emissions are mainly the result of planned coal combustion power plant closures, with major projected closures in 2037 and 2048. However, GHG emissions estimates for future years can be uncertain as they rely heavily on coal production estimates from operators' public business plans and other publicly available resources. Forward looking plans of this type are subject to significant changes if economic and political factors deviate from current information. Results suggest that average GHG emissions over the time series breakout to 95% end point combustion, 3.7% transportation combustion emissions, and 1.3% fugitive emissions, although there is uncertainty associated with these figures. Uncertainty stemming from production projections, sector distributions, and emissions factors on the future emissions estimates increases with time, ranging from −28% to +48% within the 2024–2051 timeframe.
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\"}}]}","volume":"13","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":945747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Paul E. 0000-0001-5750-7580 ppierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5750-7580","contributorId":217892,"corporation":false,"usgs":true,"family":"Pierce","given":"Paul","email":"ppierce@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":945748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meister, Chad C.","contributorId":359524,"corporation":false,"usgs":false,"family":"Meister","given":"Chad","middleInitial":"C.","affiliations":[{"id":36421,"text":"Bureau of Land Management National Operations Center","active":true,"usgs":false}],"preferred":false,"id":945749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Matthew M. 0000-0001-5996-1728","orcid":"https://orcid.org/0000-0001-5996-1728","contributorId":344228,"corporation":false,"usgs":true,"family":"Jones","given":"Matthew","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":945750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":945751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":945753,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaffer, Brian N. 0000-0002-8787-7504","orcid":"https://orcid.org/0000-0002-8787-7504","contributorId":203755,"corporation":false,"usgs":true,"family":"Shaffer","given":"Brian N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":945754,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70270295,"text":"70270295 - 2025 - Dynamic feedbacks between river meandering and landsliding in northwestern Washington glacial terraces","interactions":[],"lastModifiedDate":"2025-08-14T14:38:25.829251","indexId":"70270295","displayToPublicDate":"2025-08-09T09:32:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic feedbacks between river meandering and landsliding in northwestern Washington glacial terraces","docAbstract":"Landsliding in river valleys poses unique risks for cascading hazards and can damage infrastructure and cause fatalities. In postglacial valleys, many landslides are posited to occur in relation to lateral river erosion, but the dynamics of fluvial-hillslope interactions are not well understood. Here, we investigate a section of the Nooksack River in western Washington State where the channel is flanked by landslide-prone glacial terraces similar to those that failed in the 2014 State Route 530 “Oso” landslide. We map 216 landslides through time across 17 aerial imagery data sets (1933–2022) and analyze them in relation to river meandering and curvature. We observe dynamic feedbacks between lateral river meandering and valley-adjacent landsliding. Terrace lateral retreat rates of up to 25 m/year owing to combined fluvial erosion and slope failure occur on pinned, outer meander bends immediately downstream from peaks in river curvature (>0.0075 1/m); these locations are predisposed to both shallow and deep-seated landslides. Deep-seated landslides extending 17%–32% of the active valley width into the floodplain can displace the river away from the floodplain margin and change the channel planform. River-displacing landslides relocate meanders up- or downstream, thereby conditioning the location of subsequent landslides. This conceptual model of coupled landslide-driven meander displacement and valley-adjacent landsliding is exemplified across western Washington river systems. The distance between up- and downstream valley-adjacent landsliding scales with valley width, meander wavelength, and terrace height. Our results can advance our understanding of the river-hillslope interface in landscape evolution and can be used to inform hazard management in river corridors.
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The OpenET collaboration of six remotely sensed ET modeling teams has demonstrated that an ensemble approach to ET estimation generally provides improved accuracy relative to individual ensemble members. The performance of individual models has been shown to vary by land cover type and climate zone, but a thorough study of the variables that influence model performance differences has not yet been conducted. In this paper, we model the performance of OpenET models relative to flux tower data as a function of variables such as land cover type and precipitation. These performance models are used to map estimated OpenET model performance across the conterminous United States. We develop relative weights based on these modeled performance metrics and show that a performance-weighted ensemble improves accuracy relative to the current OpenET ensemble method to varying degrees. The monthly mean absolute error of the weighted ensemble is reduced relative to the current method by 8% in agricultural settings, by 23% in shrublands and mixed forests, and by 5% in grasslands and evergreen forests. We produce weight maps that can be used to generate performance-weighted ensemble values for OpenET data. The results can be used to inform model selection and provide insight about the controls on model performance that could lead to model refinement.
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B.","contributorId":272085,"corporation":false,"usgs":false,"family":"Fisher","given":"J.","email":"","middleInitial":"B.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":945670,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ruhoff, Anderson","contributorId":269919,"corporation":false,"usgs":false,"family":"Ruhoff","given":"Anderson","email":"","affiliations":[{"id":56044,"text":"Universidade Federal do Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":945671,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Purdy, A.J.","contributorId":333376,"corporation":false,"usgs":false,"family":"Purdy","given":"A.J.","email":"","affiliations":[{"id":79854,"text":"NASA Ames Research Center Cooperative for Research in Earth Science and Technology, California State University Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":945672,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Huntington, J.","contributorId":192453,"corporation":false,"usgs":false,"family":"Huntington","given":"J.","email":"","affiliations":[],"preferred":false,"id":945673,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70251199,"text":"70251199 - 2025 - Declining reservoir elevations following a two-decade drought increase water temperatures and non-native fish passage facilitating a downstream invasion","interactions":[],"lastModifiedDate":"2026-01-05T16:32:57.241776","indexId":"70251199","displayToPublicDate":"2025-08-08T10:32:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Declining reservoir elevations following a two-decade drought increase water temperatures and non-native fish passage facilitating a downstream invasion","docAbstract":"River ecosystems are threatened by interactions among river regulation, non-native species, and climate change. Water use has exceeded supply in USA’s Colorado River basin draining its two largest storage reservoirs (Lake Powell and Lake Mead). In 2022, Lake Powell began releasing water from its lower epilimnion into the Grand Canyon segment of the Colorado River, which (1) increased rates of fish passage from the reservoir through the dam and (2) created river temperatures suitable for establishment of non-native fishes. Subsequently, smallmouth bass (Micropterus dolomieu) reproduced there for the first time. To assist managers concerned about this invasion, we developed models that (1) predicted propagule pressure at different reservoir elevations and (2) linked reservoir storage/operations, water temperatures, and population dynamics to forecast smallmouth bass population growth potential. Maintaining Lake Powell elevations above 1094 m (3590 ft) would likely minimize propagule pressure from the reservoir and create downstream conditions that minimize smallmouth bass population growth. Dam and reservoir management will likely be less effective for managing smallmouth bass if smallmouth bass become abundant in far downstream reaches.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0187","usgsCitation":"Eppehimer, D.E., Yackulic, C.B., Bruckerhoff, L.A., Wang, J., Young, K.L., Bestgen, K.R., Mihalevich, B.A., and Schmidt, J.C., 2025, Declining reservoir elevations following a two-decade drought increase water temperatures and non-native fish passage facilitating a downstream invasion: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-19, https://doi.org/10.1139/cjfas-2024-0187.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-151886","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":493840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruckerhoff, Lindsey Ann 0000-0002-9523-4808","orcid":"https://orcid.org/0000-0002-9523-4808","contributorId":292594,"corporation":false,"usgs":true,"family":"Bruckerhoff","given":"Lindsey","email":"","middleInitial":"Ann","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":893443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Jianghao","contributorId":195004,"corporation":false,"usgs":false,"family":"Wang","given":"Jianghao","email":"","affiliations":[],"preferred":false,"id":893444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Kirk L.","contributorId":204247,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mihalevich, Bryce Anthony 0000-0001-5492-221X","orcid":"https://orcid.org/0000-0001-5492-221X","contributorId":304586,"corporation":false,"usgs":true,"family":"Mihalevich","given":"Bryce","email":"","middleInitial":"Anthony","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893448,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272679,"text":"70272679 - 2025 - Quantitative subsurface characterization illuminates the origin of the Quaternary Mississippi River Valley alluvial aquifer","interactions":[],"lastModifiedDate":"2025-12-04T15:56:36.025068","indexId":"70272679","displayToPublicDate":"2025-08-08T09:48:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17089,"text":"Communications Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative subsurface characterization illuminates the origin of the Quaternary Mississippi River Valley alluvial aquifer","docAbstract":"The Mississippi River Valley alluvial aquifer (MRVA) is vital to U.S. food security and global agricultural supply. However, quantitative understanding of its Quaternary origin, architecture, and hydrologic function remains incomplete. Here we develop a three-dimensional hydrostratigraphic model to characterize the deposition of clay and silt, fine-medium sands, and graveliferous sands using lithologic data from 75,000 boreholes compiled across the Lower Mississippi Valley and a geostatistical method—interval kriging. We find that cyclic glacial entrenchments, evidenced by remnants of pre-Wisconsinan postglacial sediments, alongside geodynamic activities shaped the MRVA basal configuration. Stratal weakening from faulting and salt diapirism enhanced glacial incision and thereby produced abrupt aquifer thickening. We demarcate the top of graveliferous sands as the regional marker of the Pleistocene-Holocene transition. The MRVA hydrostratigraphy reveals hydrologic function and geologic controls on groundwater storage and quality, advancing the assessment of aquifer sustainability under a changing climate, with implications for alluvial aquifers globally.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02545-1","usgsCitation":"Song, Y., Tsai, F.T., Minsley, B.J., Wu, C., and Heggy, E., 2025, Quantitative subsurface characterization illuminates the origin of the Quaternary Mississippi River Valley alluvial aquifer: Communications Earth and Environment, v. 6, 646, 16 p., https://doi.org/10.1038/s43247-025-02545-1.","productDescription":"646, 16 p.","ipdsId":"IP-172339","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02545-1","text":"Publisher Index Page"},{"id":497056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94,\n 38\n ],\n [\n -94,\n 28.5\n ],\n [\n -88,\n 28.5\n ],\n [\n -88,\n 38\n ],\n [\n -94,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Yuqi","contributorId":363220,"corporation":false,"usgs":false,"family":"Song","given":"Yuqi","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":951315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Frank T.-C.","contributorId":305938,"corporation":false,"usgs":false,"family":"Tsai","given":"Frank","email":"","middleInitial":"T.-C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":951316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Chenliang","contributorId":363221,"corporation":false,"usgs":false,"family":"Wu","given":"Chenliang","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":951318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heggy, Essem","contributorId":363223,"corporation":false,"usgs":false,"family":"Heggy","given":"Essem","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":951319,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271392,"text":"70271392 - 2025 - Understanding economic and environmental tradeoffs of bottled water facilities using Structural Topic Modeling and Lexicon-based categorization of public news media","interactions":[],"lastModifiedDate":"2025-09-11T14:51:23.048816","indexId":"70271392","displayToPublicDate":"2025-08-08T09:47:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Understanding economic and environmental tradeoffs of bottled water facilities using Structural Topic Modeling and Lexicon-based categorization of public news media","docAbstract":"Bottled water facilities exist across the United States (U.S.) in all 50 states and have the potential to affect localities in which they are located. This study aims to understand how water bottling facilities are portrayed in news media in the U.S., focusing on economic and environmental tradeoffs, by using Natural Language Processing techniques, specifically Structural Topic Modeling and Lexicon-based Categorization, across different U.S. states and time periods. Through our stratified analysis, we identified key environmental topics and natural resources, as well as companies attracting media attention in different regions and time periods. Results suggest that: (1) the increase in news media publications were correlated with current events such as drought or the start or change in operations of bottling facilities, and (2) these current events also influenced whether the coverage focused on economic topics or environmental concerns. The balance of water availability and economic development is a theme prevalent among the results of both forms of analysis. This study demonstrates the importance of understanding the unique values of a locality before making decisions that may affect residents.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/2515-7620/adf1e1","usgsCitation":"Chan, A., and Christenson, C., 2025, Understanding economic and environmental tradeoffs of bottled water facilities using Structural Topic Modeling and Lexicon-based categorization of public news media: Environmental Research Communications, v. 7, no. 8, 085003, 14 p., https://doi.org/10.1088/2515-7620/adf1e1.","productDescription":"085003, 14 p.","ipdsId":"IP-176981","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":495366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/adf1e1","text":"Publisher Index Page"},{"id":495314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Alisha Yee 0000-0001-5652-8013","orcid":"https://orcid.org/0000-0001-5652-8013","contributorId":302874,"corporation":false,"usgs":true,"family":"Chan","given":"Alisha Yee","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, Catherine 0000-0001-5944-2186 cchristenson@usgs.gov","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":200263,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine","email":"cchristenson@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948364,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269892,"text":"sir20255066 - 2025 - Simulated hydrologic responses to proposed wastewater-returnflow scenarios in Falmouth, Massachusetts","interactions":[],"lastModifiedDate":"2026-04-01T14:28:13.392829","indexId":"sir20255066","displayToPublicDate":"2025-08-08T08:55:00","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":"2025-5066","displayTitle":"Simulated Hydrologic Responses to Proposed Wastewater-Return-Flow Scenarios in Falmouth, Massachusetts","title":"Simulated hydrologic responses to proposed wastewater-returnflow scenarios in Falmouth, Massachusetts","docAbstract":"The Cape Cod aquifer is the sole source of drinking water for communities on Cape Cod, Massachusetts, including the Town of Falmouth, where the aquifer is currently threatened by contamination from septic-system-derived nitrogen. To address this problem, the Town is proposing to sewer areas of Falmouth, treat the wastewater at the Town’s Main Wastewater Treatment Facility (a nitrogen removing/tertiary treatment facility), and discharge the treated wastewater to an ocean outfall pipe in Nantucket Sound.
The U.S. Geological Survey, in cooperation with the Town of Falmouth, updated a three-dimensional steady-state groundwater flow model to represent current (defined as 2019–23) average hydrologic conditions and to simulate the long-term average freshwater hydrologic response to two wastewater-return-flow scenarios. Scenario 1 involves the sewering of all properties south of Route 28 in Falmouth, which approximates the Town’s possible sewer expansion over the next 20–30 years. Scenario 2 involves sewering of all properties in Falmouth to demonstrate the maximum potential effect of sewering on the aquifer.
Overall, the simulated hydrologic response of water-table altitudes and streamflow in both scenarios was relatively small compared to fluctuations from natural recharge. In scenario 1, the water-table altitude decreased by about 0.1 feet south of Route 28, where the conversion to municipal sewers removed wastewater-return flow from onsite septic systems. The water-table altitude decreased by about 0.1–0.2 feet over a larger area in Falmouth under town-wide sewering in scenario 2. The greatest decrease in water-table altitude in both scenarios occurred near the Main Wastewater Treatment Facility, with a decrease of about 1.1 feet in scenario 1 and about 1.3 feet in scenario 2.
Simulated decreases in streamflow also were estimated for six selected streams in Falmouth and Mashpee. In both scenarios, the largest simulated decreases in streamflow were at the Coonamessett River, which is the closest stream to the Main Wastewater Treatment Facility. In scenario 1, the average annual decrease in flow at the Coonamessett River was 0.1 cubic feet per second, a 1.1 percent decrease from current (2019–23) conditions. In scenario 2, streamflow at the Coonamessett River decreased by 0.6 cubic feet per second, a 5.4 percent decrease from current (2019–23) conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255066","collaboration":"Prepared in cooperation with the Town of Falmouth","usgsCitation":"Goldstein, K.M.F., and McCobb, T.D., 2025, Simulated hydrologic responses to proposed wastewater-returnflow scenarios in Falmouth, Massachusetts (ver. 1.1, 2026): U.S. Geological Survey Scientific Investigations Report 2025–5066, 19 p., https://doi.org/10.3133/sir20255066.","productDescription":"Report: vii, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-172502","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":501695,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5066/versionHist.txt","size":"694 B","linkFileType":{"id":2,"text":"txt"}},{"id":493661,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1O3SSE5","text":"USGS data release","linkHelpText":"MODFLOW-2005 groundwater flow model used to simulate wastewater-return-flow scenarios in Falmouth, Massachusetts"},{"id":493660,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5066/images/"},{"id":493659,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5066/sir20255066.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5066 XML"},{"id":493658,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255066/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5066 HTML"},{"id":493657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5066/sir20255066.pdf","text":"Report","size":"4.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5066 PDF"},{"id":493656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5066/coverthb2.jpg"}],"country":"United States","state":"Massachusetts","city":"Falmouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.69386874698256,\n 41.790542081897485\n ],\n [\n -70.69386874698256,\n 41.50620936893142\n ],\n [\n -70.2313991423423,\n 41.50620936893142\n ],\n [\n -70.2313991423423,\n 41.790542081897485\n ],\n [\n -70.69386874698256,\n 41.790542081897485\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: August 8, 2025; Version 1.1: April 1, 2026","contact":"Director, New England Water Science Center
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10 Bearfoot Road
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No abstract available.
","language":"English","publisher":"International Reptile Conservation Foundation","doi":"10.17161/randa.v32i1.22787","usgsCitation":"Haley, C., Lane, E., Payne, S., Silva, G., Metcalf, M., Romagosa, C., Donmoyer, K., McBride, L.M., Sherburne, S., Kissel, A.M., Yackel Adams, A.A., and Sandfoss, M.R., 2025, Consumption of a non-native Walking Catfish (Clarias batrachus) by a Florida Green Watersnake (Nerodia floridana) in Everglades National Park: Reptiles and Amphibians, v. 32, e22787, 2 p., https://doi.org/10.17161/randa.v32i1.22787.","productDescription":"e22787, 2 p.","ipdsId":"IP-169425","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17161/randa.v32i1.22787","text":"Publisher Index Page"},{"id":494018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.3123581623549,\n 25.774083534066293\n ],\n [\n -81.2094037841021,\n 25.774083534066293\n ],\n [\n -81.2094037841021,\n 25.113418811062843\n ],\n [\n -80.3123581623549,\n 25.113418811062843\n ],\n [\n -80.3123581623549,\n 25.774083534066293\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Haley, Carter","contributorId":359560,"corporation":false,"usgs":false,"family":"Haley","given":"Carter","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":945825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, 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0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":945834,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":945835,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sandfoss, Mark Robert 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increase the severity of summertime metalimnion dissolved oxygen minima in Lake Powell, desert Southwest, USA","docAbstract":"Water level drawdowns are common in reservoirs and can affect dissolved oxygen (DO) dynamics via several pathways. In large storage reservoirs, inflow deltas are often important sites for sediment deposition, with some sediment laden rivers forming highly dynamic delta regions as they enter the reservoir. As water levels change, deposited sediment may be remobilized and affect pelagic DO dynamics. Here, we analyze a long-term set of DO profiles to ask how water levels have interacted with both reservoir age and spring inflow volumes to affect metalimnion low DO events in Lake Powell, desert Southwest, USA. The most supported model suggests that declining water levels interact with reservoir age, such that an older and lower elevation reservoir leads to more metalimnion DO consumption, with larger spring snowmelt inflows furthering DO declines. We also conducted incubations to understand how sediment source, monsoon inputs, and water temperature affect DO demand and nutrient cycling. Incubation oxygen demand varied significantly by sediment source, exhibiting modest temperature dependence at the nonmonsoonal sites. We observed the highest oxygen demand from monsoonal inputs and substantial phosphorus release from 2 of 3 sediment types. Our findings emphasize how reservoir aging and hydrological dynamics can combine to reduce DO availability.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2025.2476309","usgsCitation":"Deemer, B., Andrews, C.M., Reibold, R.H., Mihalevich, B.A., Sabol, T.A., Drewel, J., and Yackulic, C., 2025, Low water levels interact with reservoir aging to increase the severity of summertime metalimnion dissolved oxygen minima in Lake Powell, desert Southwest, USA: Inland Waters, v. 15, no. 1, 2476309, 16 p., https://doi.org/10.1080/20442041.2025.2476309.","productDescription":"2476309, 16 p.","ipdsId":"IP-169658","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Lake Powell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.11073805318645,\n 37.26333469404298\n ],\n [\n -111.74162726575902,\n 36.997266633380335\n ],\n [\n -111.35931664510963,\n 36.87613235542568\n ],\n [\n -110.32254234263192,\n 37.24143878879368\n ],\n [\n -110.31017219601101,\n 37.95477774275503\n ],\n [\n -111.11073805318645,\n 37.26333469404298\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M.","contributorId":361011,"corporation":false,"usgs":false,"family":"Andrews","given":"Caitlin","middleInitial":"M.","affiliations":[{"id":86147,"text":"National Park Service, Southern Florida and Caribbean Network, Flagstaff AZ","active":true,"usgs":false}],"preferred":false,"id":948108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mihalevich, Bryce A.","contributorId":361012,"corporation":false,"usgs":false,"family":"Mihalevich","given":"Bryce","middleInitial":"A.","affiliations":[{"id":86149,"text":"Bureau of Reclamation, Upper Colorado Basin, Salt Lake City UT","active":true,"usgs":false}],"preferred":false,"id":948110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drewel, Jeremiah","contributorId":361013,"corporation":false,"usgs":false,"family":"Drewel","given":"Jeremiah","affiliations":[{"id":86150,"text":"Oregon Water Science Center, U.S. Geological Survey, Klamath Falls OR","active":true,"usgs":false}],"preferred":false,"id":948112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948113,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270110,"text":"70270110 - 2025 - Deformity, erosion, lesion, tumor, and parasite (DELT) anomalies in fish communities of the Chesapeake Bay watershed, USA: A regional assessment and potential landscape drivers","interactions":[],"lastModifiedDate":"2025-08-11T15:28:06.323665","indexId":"70270110","displayToPublicDate":"2025-08-08T08:22:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Deformity, erosion, lesion, tumor, and parasite (DELT) anomalies in fish communities of the Chesapeake Bay watershed, USA: A regional assessment and potential landscape drivers","docAbstract":"Fish diseases in freshwater ecosystems pose significant ecological and socioeconomic challenges, yet monitoring them in wild populations is complex due to interactions between pathogens, hosts, and environmental conditions. We examine the prevalence and watershed-scale landscape drivers of external deformity, erosion, lesion, tumor, and parasite (DELT) anomalies in 57 riverine fish species using a large dataset (577,266 individuals collected 2008–2019) from the Chesapeake Bay watershed that originated from state and federal agencies. Overall, DELT prevalence was low (1.4%), but was higher in larger, longer-lived species, including Channel Catfish (Ictalurus punctatus) (18.9%), Rock Bass (Ambloplites rupestris) (7.6%), Smallmouth Bass (Micropterus dolomieu) (7.3%), Brown Bullhead (Ameiurus nebulosus) (5.6%), and Yellow Bullhead (Ameiurus natalis) (5.1%), signifying their potential as regional environmental health indicators. Spatial analysis indicated warmer temperatures increased the estimated probability of DELT occurrence, whereas higher precipitation often mitigated the probability of DELT occurrence. Conservation strategies (e.g., best management practices) had mixed effectiveness in reducing DELT occurrence probability across agricultural and urban landscapes. Across the landscape, various drivers, including harvested forest, impervious land, and pesticide use, influenced DELT occurrence probability differently across species. However, uncertainty remains partly due to low prevalence and variability in sampling methods across agencies. Despite low overall prevalence, DELT occurrence is a rapid fish health indicator. Future research could emphasize species-specific responses and longitudinal studies that incorporate life stages and health indicators. Understanding these intricate, multi-scale interactions is vital for effective monitoring, conservation, and adaptive management of freshwater ecosystems.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14412-9","usgsCitation":"Breitmeyer, S.E., McLaughlin, P., Blazer, V., Noe, G.E., Smalling, K., Wertz, T.A., and Wagner, T., 2025, Deformity, erosion, lesion, tumor, and parasite (DELT) anomalies in fish communities of the Chesapeake Bay watershed, USA: A regional assessment and potential landscape drivers: Environmental Monitoring and Assessment, v. 197, 998, 23 p., https://doi.org/10.1007/s10661-025-14412-9.","productDescription":"998, 23 p.","ipdsId":"IP-173626","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":494442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14412-9","text":"Publisher Index Page"},{"id":493933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.1589978927873,\n 42.795159979490734\n ],\n [\n -78.37763859563698,\n 36.66139763174846\n ],\n [\n -76.88467199061682,\n 36.50900089259645\n ],\n [\n -75.58972361602345,\n 36.42549745275362\n ],\n [\n -75.4536555496368,\n 39.66165187528253\n ],\n [\n -74.44210520209307,\n 42.87241314481139\n ],\n [\n -77.1589978927873,\n 42.795159979490734\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":945491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Paul 0000-0001-8344-6793","orcid":"https://orcid.org/0000-0001-8344-6793","contributorId":359459,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Paul","affiliations":[{"id":85818,"text":"Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":945493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":945494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wertz, Timothy A. 0000-0003-0878-579X","orcid":"https://orcid.org/0000-0003-0878-579X","contributorId":306220,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":17703,"text":"Pennsylvania Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":945496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":218091,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945497,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271124,"text":"70271124 - 2025 - Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition","interactions":[],"lastModifiedDate":"2026-03-27T17:34:41.462684","indexId":"70271124","displayToPublicDate":"2025-08-08T07:55:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14424,"text":"Applied Computing and Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition","docAbstract":"The U.S. Geological Survey (USGS), Defense Advanced Projects Research Agency (DARPA), NASA Jet Propulsion Laboratory (JPL), and MITRE ran a 12-week machine learning competition aimed at accelerating development of AI tools for critical mineral assessments. The Artificial Intelligence for Critical Mineral Assessment Competition solicited innovative solutions for two challenges: 1) automated georeferencing of historical maps, and 2) automated feature extraction from historical maps. Competitors used a new dataset of historical map images to train, validate, and evaluate their models. Automated georeferencing pipelines attained a median root-mean square error of 1.1 km. Prompt-based extraction (i.e., with user input) of polygons, polylines, and points from geologic maps yielded median F1-scores of 0.77, 0.56, 0.35, respectively. Geologic maps pose numerous challenges for AI workflows because they vary significantly. However, despite its short duration, the competition yielded promising results that have since spurred further innovation in this area and led to the development of new AI tools to semi-automate key, time-consuming parts of the assessment workflow.","language":"English","publisher":"Elsevier","doi":"10.1016/j.acags.2025.100274","usgsCitation":"Goldman, M.A., Lederer, G.W., Rosera, J.M., Graham, G.E., Mishra, A., and Yepremyan, A., 2025, Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition: Applied Computing and Geosciences, v. 27, 100274, 15 p., https://doi.org/10.1016/j.acags.2025.100274.","productDescription":"100274, 15 p.","ipdsId":"IP-164764","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":501736,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FXSPT1","text":"Data Release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)"},{"id":495004,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495070,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.acags.2025.100274","text":"Publisher Index Page"}],"volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goldman, Margaret A. 0000-0003-2232-6362 mgoldman@usgs.gov","orcid":"https://orcid.org/0000-0003-2232-6362","contributorId":176468,"corporation":false,"usgs":true,"family":"Goldman","given":"Margaret","email":"mgoldman@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":947494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":947495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":947496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":947497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mishra, Asitang","contributorId":301178,"corporation":false,"usgs":false,"family":"Mishra","given":"Asitang","email":"","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":947498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yepremyan, Alice","contributorId":358951,"corporation":false,"usgs":false,"family":"Yepremyan","given":"Alice","affiliations":[{"id":85724,"text":"NASA - JPL","active":true,"usgs":false}],"preferred":false,"id":947499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271344,"text":"70271344 - 2025 - Estimating drivers and identifying uncertainties in smallmouth bass population dynamics in an invaded river network","interactions":[],"lastModifiedDate":"2025-09-08T14:58:50.690039","indexId":"70271344","displayToPublicDate":"2025-08-08T07:48:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating drivers and identifying uncertainties in smallmouth bass population dynamics in an invaded river network","docAbstract":"Smallmouth bass (Micropterus dolomieu) is an important recreational sportfish and destructive non-native species when introduced into freshwater habitats. There is therefore a need to understand the drivers of, and uncertainties in, smallmouth bass population dynamics for various management objectives. We combined long-term smallmouth bass catch-effort and early life history data from a non-native population in the Green River sub-basin of the upper Colorado River to develop a demographic model that links interannual variability in environmental conditions to recruitment in three river reaches. We used the model to quantify how hydrology, river temperature, and exploitation drive smallmouth bass population dynamics. Early life stages were influenced by timing of hatching and discharge. Dispersal of age-0 fish and density-dependent dynamics were identified as primary sources of uncertainty. Determining the true nature of density-dependent dynamics is important, as the impact of exploitation-based management actions is dependent on the strengths of any density-dependent feedbacks. Our model provides a framework to predict smallmouth bass population responses to future climate conditions, reservoir operations, and exploitation levels.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0183","usgsCitation":"Bruckerhoff, L.A., Yackulic, C., Eppehimer, D.E., Bestgen, K.R., Jones, M.T., and Michaud, C., 2025, Estimating drivers and identifying uncertainties in smallmouth bass population dynamics in an invaded river network: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-24, https://doi.org/10.1139/cjfas-2024-0183.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-166028","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Green River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.07791103370728,\n 38.47445328611764\n ],\n [\n -110.07791103370728,\n 38.06202716185106\n ],\n [\n -109.72266590720243,\n 38.06202716185106\n ],\n [\n -109.72266590720243,\n 38.47445328611764\n ],\n [\n -110.07791103370728,\n 38.47445328611764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey A.","contributorId":361014,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","middleInitial":"A.","affiliations":[{"id":86151,"text":"Aquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio","active":true,"usgs":false}],"preferred":false,"id":948117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bestgen, Kevin R.","contributorId":361015,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","middleInitial":"R.","affiliations":[{"id":86153,"text":"Larval Fish Laboratory, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":948120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, M. Tildon","contributorId":361016,"corporation":false,"usgs":false,"family":"Jones","given":"M.","middleInitial":"Tildon","affiliations":[{"id":86154,"text":"U.S. Fish and Wildlife Service, Upper Colorado River Endangered Fish Recovery Program, Vernal","active":true,"usgs":false}],"preferred":false,"id":948121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michaud, Chris","contributorId":361017,"corporation":false,"usgs":false,"family":"Michaud","given":"Chris","affiliations":[{"id":86156,"text":"U.S. Fish and Wildlife Service, Upper Colorado River Endangered Fish Recovery Program, Lakewood, Colorado","active":true,"usgs":false}],"preferred":false,"id":948122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271489,"text":"70271489 - 2025 - Evaluation of the effects of sediments contaminated by industrial discharges to a unionid mussel (Fatmucket, Lampsilis siliquoidea) and a common test benthic organism (Amphipod, Hyalella azteca)","interactions":[],"lastModifiedDate":"2025-12-01T16:36:48.962288","indexId":"70271489","displayToPublicDate":"2025-08-07T08:26:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluation of the effects of sediments contaminated by industrial discharges to a unionid mussel (Fatmucket, Lampsilis siliquoidea) and a common test benthic organism (Amphipod, Hyalella azteca)","title":"Evaluation of the effects of sediments contaminated by industrial discharges to a unionid mussel (Fatmucket, Lampsilis siliquoidea) and a common test benthic organism (Amphipod, Hyalella azteca)","docAbstract":"Freshwater mussels are among the most sensitive species to a variety of chemicals in water exposures. However, few studies have been conducted to evaluate the effect of toxicants in sediments on mussels. Industrial discharges containing polyaromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and metals entered the Kanawha River surrounding Blaine Island, South Charleston, West Virginia, USA; a river which supports eight federally endangered mussel species. We collected sediment samples from a highly contaminated site, a nearby upstream site, and a further upstream reference site to assess the effects of contaminated sediment on the survival and growth of a unionid mussel (fatmucket, Lampsilis siliquoidea) and a commonly tested benthic organism (amphipod, Hyalella azteca) using standard 28-d sediment toxicity tests. We also determined mussel toxicity in a serial dilution of the highly contaminated sediment. Results showed that concentrations of PAHs, VOCs, and metals in the contaminated sediment were consistently greater than the other two sites. The mean survival of mussels and amphipods in the reference sediment was 100% and 95%, respectively, whereas the mean survival of both test species in the contaminated sediment was 0%. In the sediment dilution study, mean survival and biomass of mussels in the ≥6.25% treatment were significantly reduced relative to the control, with a 25% inhibition concentration of 4.1% for survival and 3.6% for biomass. We used sediment screening values and equilibrium partitioning sediment benchmarks to determine that nickel, mercury, and PAH mixture were likely responsible for the toxicity observed to mussels and amphipods and will provide critical data to identify and mitigate the sources of the mixture in contaminated sediment.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgaf200","usgsCitation":"Ivey, C.D., Steevens, J.A., Wang, N., Patnode, K., Kunz, J.L., and Besser, J.M., 2025, Evaluation of the effects of sediments contaminated by industrial discharges to a unionid mussel (Fatmucket, Lampsilis siliquoidea) and a common test benthic organism (Amphipod, Hyalella azteca): Environmental Toxicology and Chemistry, v. 44, no. 11, p. 3202-3211, https://doi.org/10.1093/etojnl/vgaf200.","productDescription":"10 p.","startPage":"3202","endPage":"3211","ipdsId":"IP-168278","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":495715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Blaine Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69768088630148,\n 38.375274297576794\n ],\n [\n -81.69768088630148,\n 38.36648034085218\n ],\n [\n -81.67359328193788,\n 38.36648034085218\n ],\n [\n -81.67359328193788,\n 38.375274297576794\n ],\n [\n -81.69768088630148,\n 38.375274297576794\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patnode, Kathleen","contributorId":361533,"corporation":false,"usgs":false,"family":"Patnode","given":"Kathleen","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":948951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948952,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948953,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271324,"text":"70271324 - 2025 - Rupture continuity through intermittent pauses in Cascadia slow slip events","interactions":[],"lastModifiedDate":"2025-09-05T15:05:56.488062","indexId":"70271324","displayToPublicDate":"2025-08-07T08:00:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Rupture continuity through intermittent pauses in Cascadia slow slip events","docAbstract":"Cascadia slow slip events (SSEs) are often envisioned as smooth, continuous ruptures, progressively activating tremor asperities as they propagate. Macroscopically, geodetic inversions and spatiotemporal maps of tremor epicenters show steady, uniform migration. In detail tremor is more chaotic and discontinuous. Larger long-term SSEs observed in daily geodetic solutions are inferred to exhibit intermittent pauses that reflect temporary re-locking of the fault, but this temporal resolution limits tests for similar re-locking on shorter timescales. We use temporal measurements of the areal growth and radiated energy of tremor clusters to investigate SSE intermittence. We find that ruptures mirror tremor pauses. Areal growth rate, however, does not reset, and removing the pauses results in smoother and more similar growth measurements among all SSEs. The rupture similarity occurs regardless of size or location and hints at an underlying uniformity and lack of predeterminism in eventual SSE size. Epicentral uncertainty precludes quantifying early rupture stages, but for larger events areal growth follows a power-law and slows with increasing size. Temporal correlations in tremor energy with inferred SSE propagation velocities and tremor rates suggest its use as a proxy for slip velocity. We find that tremor energy is tidally modulated at daily and sub-daily frequencies, and this modulation is continuous through pauses, suggesting a memory of slip state is sustained through them. We argue these pauses reflect unsteady propagation of the slip front, marked by rapid re- and un-locking, and excluding them removes rupture complexity to reveal a diffusive-like slip process and underlying universality in growth.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JB031501","usgsCitation":"Wech, A., and Gomberg, J.S., 2025, Rupture continuity through intermittent pauses in Cascadia slow slip events: Journal of Geophysical Research: Solid Earth, v. 130, no. 8, e2025JB031501, 18 p., https://doi.org/10.1029/2025JB031501.","productDescription":"e2025JB031501, 18 p.","ipdsId":"IP-173639","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":495198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.395483482341,\n 50.865572536238915\n ],\n [\n -125.60869035746057,\n 46.041667735587566\n ],\n [\n -124.98377466492585,\n 38.57668752987752\n ],\n [\n -120.96754220889056,\n 38.41486403323435\n ],\n [\n -121.34435422163615,\n 48.16096017318148\n ],\n [\n -123.77679244748882,\n 51.47194946290554\n ],\n [\n -128.395483482341,\n 50.865572536238915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270897,"text":"70270897 - 2025 - Mapping ecological states in the upper Colorado River basin: Implications for fire management","interactions":[],"lastModifiedDate":"2025-08-26T14:55:55.492663","indexId":"70270897","displayToPublicDate":"2025-08-07T07:47:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22185,"text":"Environmental Research: Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping ecological states in the upper Colorado River basin: Implications for fire management","docAbstract":"Spatially explicit information on ecosystem dynamics that offers a mechanistic understanding of ecological processes can benefit environmental management. Broad-scale maps based on state-and-transition models provide valuable insight into transitions among ecological states resulting from specific drivers within areas sharing similar climatic and edaphic characteristics ecological sites (ES). We aimed to quantify ecological dynamics of two ES groups in the Upper Colorado River Basin from 1986 to 2022 through annual maps of ecological states and assess potential drivers of observed state change. This region comprises important sagebrush shrublands and pinyon-juniper woodlands affected by non-native annual grass invasion, wildfires, and drought-induced tree mortality. Using field-based and remote sensing data, we modeled vegetation states using random forest models and mapped the states annually from 1986 to 2022. To demonstrate the utility of the state maps for monitoring and management, we used this time series of maps to investigate the influences of fire and drought on state occurrence. Our findings revealed a statistically significant increase in states invaded by non-native annual species (Invaded state), which replaced Grassland and Shrubland states, while Shrubland states decreased significantly, transitioning to invaded and Woodland states. Invaded states had the highest likelihood of burning, followed by Woodlands. Drought was associated with increased area of Grassland and Bare states, but with decreased area of invaded and Shrubland states. These results indicate an accelerating fire cycle is potentially leading to ongoing regional environmental degradation. Despite increasing drought conditions during the study period, the invaded states continued to increase in area, indicating additional underlying mechanisms. Our reproducible, broad-scale, ecologically-driven state mapping process enhances understanding of how drought, fire, and invasion by non-native plants can transform semiarid landscapes of the western USA.
","language":"English","publisher":"IOPscience","doi":"10.1088/2752-664X/adf55f","usgsCitation":"Severson, J.P., Bishop, T.B., Knight, A.C., Nauman, T.W., McNellis, B.E., Villarreal, M.L., Reed, S.C., Young, K.E., Brunson, M., and Duniway, M.C., 2025, Mapping ecological states in the upper Colorado River basin: Implications for fire management: Environmental Research: Ecology, v. 4, no. 3, 035004, 21 p., https://doi.org/10.1088/2752-664X/adf55f.","productDescription":"035004, 21 p.","ipdsId":"IP-177340","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2752-664x/adf55f","text":"Publisher Index Page"},{"id":494895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.86831536697369,\n 43.42056013100884\n ],\n [\n -113.9651578898021,\n 35.88773718647083\n ],\n [\n -113.42515034117945,\n 35.250820583313256\n ],\n [\n -107.51033502507522,\n 34.06562974390198\n ],\n [\n -106.78782386602788,\n 39.68976401424576\n ],\n [\n -108.89167762624004,\n 42.868819570877264\n ],\n [\n -110.86831536697369,\n 43.42056013100884\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Severson, John P. 0000-0002-1754-6689","orcid":"https://orcid.org/0000-0002-1754-6689","contributorId":213469,"corporation":false,"usgs":true,"family":"Severson","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":947311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bishop, Tara B.","contributorId":360618,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara","middleInitial":"B.","affiliations":[{"id":86058,"text":"Utah Valley University, Department of Earth Science, Orem, UT, USA","active":true,"usgs":false}],"preferred":false,"id":947312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nauman, Travis 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USA","active":true,"usgs":false}],"preferred":false,"id":947316,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947317,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Kristina E.","contributorId":360622,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","middleInitial":"E.","affiliations":[{"id":86061,"text":"Agricultural Research Service, USDA Jornada Experimental Range, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":947318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brunson, Mark","contributorId":178263,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","affiliations":[],"preferred":false,"id":947319,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947320,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70269795,"text":"sir20255070 - 2025 - Water-resources inventory and assessment at Katahdin Woods and Waters National Monument","interactions":[],"lastModifiedDate":"2026-02-03T14:51:22.993377","indexId":"sir20255070","displayToPublicDate":"2025-08-07T07:05:00","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":"2025-5070","displayTitle":"Water-Resources Inventory and Assessment at Katahdin Woods and Waters National Monument","title":"Water-resources inventory and assessment at Katahdin Woods and Waters National Monument","docAbstract":"The U.S. Geological Survey, in cooperation with the National Park Service, prepared a water-resources inventory and assessment for Katahdin Woods and Waters National Monument (KAWW). This compilation includes published and publicly accessible hydrologic data and resource assessments of streams, rivers, ponds, lakes, wetlands, vernal pools, and groundwater in and near KAWW. It also includes reports and datasets summarizing attributes of KAWW’s hydrologic infrastructure, such as stream crossings, dams, wastewater discharge plants, groundwater monitoring wells, and U.S. Geological Survey streamflow-gaging stations. Descriptions of data and details of current limitations in available datasets are included. Wetland, groundwater, streamflow, and water-quality information are all limited. Hydrography data are available; however, there are limited ground-truth data. Accurate streamlines within KAWW were developed from light detection and ranging (lidar) as a part of this work. Hydrologic infrastructure information is available from multiple sources; however, differences exist among the datasets. Datasets are summarized in appendix 1.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255070","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Tudor, A.L., 2025, Water-resources inventory and assessment at Katahdin Woods and Waters National Monument: U.S. Geological Survey Scientific Investigations Report 2025–5070, 16 p., https://doi.org/10.3133/sir20255070.","productDescription":"Report: vi, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-172915","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":493343,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5070/coverthb.jpg"},{"id":493344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5070/sir20255070.pdf","text":"Report","size":"3.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5070 PDF"},{"id":493345,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255070/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5070 HTML"},{"id":493346,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5070/sir20255070.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5070 XML"},{"id":493347,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5070/images/"},{"id":493348,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94QSSSP","text":"USGS data release","linkHelpText":"Lidar-derived hydrography of Katahdin Woods and Waters National Monument, Maine, 2023"},{"id":494169,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118733.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maine","otherGeospatial":"Katahdin Woods and Waters National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -69.72130102300684,\n 46.47955962684003\n ],\n [\n -69.77140212088534,\n 46.34053986409191\n ],\n [\n -68.86469443278118,\n 45.69306934376334\n ],\n [\n -68.55553399953126,\n 45.50754141763335\n ],\n [\n -68.4003426211154,\n 46.253578073434255\n ],\n [\n -68.8194818178918,\n 46.353192713029614\n ],\n [\n -69.3168268626853,\n 46.282299294777914\n ],\n [\n -69.72130102300684,\n 46.47955962684003\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Water supply in the Western United States is an essential resource, and the collection of accurate and timely water information is fundamental to effectively managing water resources in the region. Efforts to document the hydrology in the Colorado River Basin are vital to life in the Western United States. These efforts began as far back as the initial John Wesley Powell exploration of the Colorado River and its tributaries in the summer of 1869. Shortly after, the U.S. Geological Survey (USGS) was created in 1879, and the first USGS systematic measurement of streamflow began at the first streamgage, 08279500 Rio Grande at Embudo, New Mexico, in 1889.
During its 146-year existence, the USGS has served the citizens of the United States in many roles, notably through long-standing stewardship in water science. For example, the USGS has collected hydrologic information at strategic locations within the Western United States to support water resource management, flood forecasting and response, interbasin water transfers, hydropower generation, municipal and agricultural water supplies, food security, recreation, habitat preservation, international treaty obligations and river compact compliance, and the operation of major water-storage projects, including Lake Powell and Lake Mead bordering Utah and Arizona, and Nevada and Arizona, respectively.
Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046
The Colorado River Basin provides critical water resources for millions of people. Streamgages have been collecting real-time data since the late 1800s and providing long-term information on hydrologic changes and processes in the basin. Advancements in monitoring technologies and data collection improve the understanding of complex processes affecting water quantity, quality, and availability for effective management across the basin.
","publicationDate":"2025-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Forbes, Brandon T. 0000-0003-4051-0593 bforbes@usgs.gov","orcid":"https://orcid.org/0000-0003-4051-0593","contributorId":213549,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon","email":"bforbes@usgs.gov","middleInitial":"T.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eddy-Miller, Cheryl A. 0000-0002-4082-750X","orcid":"https://orcid.org/0000-0002-4082-750X","contributorId":195780,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":false,"id":944883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Ryan C. 0000-0003-1266-9003","orcid":"https://orcid.org/0000-0003-1266-9003","contributorId":217887,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drukker, Olivia A. 0009-0008-6335-323X","orcid":"https://orcid.org/0009-0008-6335-323X","contributorId":357408,"corporation":false,"usgs":true,"family":"Drukker","given":"Olivia","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordova, Jeffrey 0000-0001-5523-9746 jcordova@usgs.gov","orcid":"https://orcid.org/0000-0001-5523-9746","contributorId":178734,"corporation":false,"usgs":true,"family":"Cordova","given":"Jeffrey","email":"jcordova@usgs.gov","affiliations":[],"preferred":true,"id":944886,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269770,"text":"fs20253031 - 2025 - Assessment of undiscovered conventional oil and gas resources in the Phosphoria Total Petroleum System of the Southwestern Wyoming Province, 2024","interactions":[],"lastModifiedDate":"2026-02-03T14:49:41.08469","indexId":"fs20253031","displayToPublicDate":"2025-08-06T11:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3031","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in the Phosphoria Total Petroleum System of the Southwestern Wyoming Province, 2024","title":"Assessment of undiscovered conventional oil and gas resources in the Phosphoria Total Petroleum System of the Southwestern Wyoming Province, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 3 million barrels of oil and 666 billion cubic feet of gas in the Phosphoria Total Petroleum System of the Southwestern Wyoming Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253031","programNote":"National and Global Petroleum Assessment","usgsCitation":"Drake, R.M., II, Hearon, J.S., Mercier, T.J., Le, P.A., Leathers-Miller, H.M., Gelman, S.E., Johnson, B.G., Lagesse, J.H., Cicero, A.D., Schenk, C.J., and Tennyson, M.E., 2025, Assessment of undiscovered conventional oil and gas resources in the Phosphoria Total Petroleum System of the Southwestern Wyoming Province, 2024: U.S. Geological Survey Fact Sheet 2025–3031, 2 p., https://doi.org/10.3133/fs20253031.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-163781","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":493292,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3031/fs20253031.pdf","text":"Report","size":"1.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3031"},{"id":493291,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3031/coverthb.jpg"},{"id":493293,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1EE7PQT","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Phosphoria Total Petroleum System, Southwestern Wyoming Province—Assessment Unit Boundaries, Assessment Input Tables, and Fact Sheet Data Tables"},{"id":493650,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3031/images"},{"id":493651,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3031/fs20253031.xml"},{"id":493663,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253031/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3031"},{"id":494166,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118732.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.43957949529295,\n 37.54594546363019\n ],\n [\n -105.81430292430196,\n 41.94336868582516\n ],\n [\n -106.0280651271803,\n 43.42008928478114\n ],\n [\n -110.88474677847896,\n 44.59578830113554\n ],\n [\n -110.70135699737187,\n 40.92007317613786\n ],\n [\n -108.94995121711827,\n 40.821328820337754\n ],\n [\n -104.43957949529295,\n 37.54594546363019\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046