Groundwater quality changes in wells and streams lag behind changes to land use due to groundwater travel times. Two contaminant transport methods were compared to assess differences in their simulated travel time distributions (TTDs) to streams and wells in the Wisconsin Central Sands. MODPATH simulates advective groundwater flow with particle tracking, while MT3D simulates age-mass using a finite difference solution without dispersion to allow for direct comparison of the two methods. MODPATH appropriately simulates groundwater TTDs from the water table to surface discharge but is subject to inaccuracies at weak-sink well cells due to the flow-model grid discretization and imprecise location of well discharge within well cells. MT3D better represents weak-sink well cells since it removes mass in proportion to the prescribed pumping rate, although travel time within well cells is neglected. Conversely, MT3D's treatment of surface water boundary cells is not as accurate as MODPATH because mass should be removed from the water table rather than the full cell volume. MT3D simulations of TTDs can also be confounded by the instantaneous vertical distribution of mass introduced throughout recharge cells instead of at the water table, which initiates mass along deeper flow paths. We evaluated 9 MODPATH and 13 MT3D implementations, generating differences in median travel times of up to 18 years. Both methods have strengths and weaknesses, with MT3D better representing weak-sink well cell behavior and MODPATH better representing surficial recharge and discharge. The effect of these characteristics on simulated TTDs, along with ideas for ameliorating method weaknesses, is discussed.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.70024","usgsCitation":"Baker, E.A., Juckem, P., Feinstein, D.T., and Hart, D., 2025, A regional model comparison between MODPATH and MT3D of groundwater travel time distributions: Groundwater, v. 63, no. 6, p. 861-873, https://doi.org/10.1111/gwat.70024.","productDescription":"13 p.","startPage":"861","endPage":"873","ipdsId":"IP-174512","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496428,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70024","text":"Publisher Index Page"},{"id":496413,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Central Sands study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.76677243303999,\n 44.62588647709572\n ],\n [\n -89.76677243303999,\n 43.759169553502744\n ],\n [\n -88.89566146882221,\n 43.759169553502744\n ],\n [\n -88.89566146882221,\n 44.62588647709572\n ],\n [\n -89.76677243303999,\n 44.62588647709572\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"63","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, Emily A. 0000-0003-3443-5419","orcid":"https://orcid.org/0000-0003-3443-5419","contributorId":361983,"corporation":false,"usgs":false,"family":"Baker","given":"Emily","middleInitial":"A.","affiliations":[{"id":86409,"text":"Hamilton College, Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juckem, Paul 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":214445,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":361984,"corporation":false,"usgs":false,"family":"Feinstein","given":"Daniel","middleInitial":"T.","affiliations":[{"id":40828,"text":"University of Wisconsin - Milwaukee","active":true,"usgs":false}],"preferred":false,"id":949774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, David J. 0000-0001-8027-480X","orcid":"https://orcid.org/0000-0001-8027-480X","contributorId":292693,"corporation":false,"usgs":false,"family":"Hart","given":"David J.","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949775,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272007,"text":"70272007 - 2025 - Persistence of a declining anuran species across its distribution","interactions":[],"lastModifiedDate":"2025-09-30T15:04:08.866478","indexId":"70272007","displayToPublicDate":"2025-09-22T07:50:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of a declining anuran species across its distribution","docAbstract":"Information on a species’ population dynamics, such as changes in abundance and distribution, can be used to identify declining populations and initiate conservation efforts and protections. For the Ornate Chorus Frog (Pseudacris ornata), anecdotal observations of local extirpation and population declines have been noted, but trends in its range-wide population status are generally unknown. We used 2227 verified records of Ornate Chorus Frog presence from across the species’ distribution, grouped into 407 populations, and a modified Cormack-Jolly-Seber survival analysis to estimate the probability that historical Ornate Chorus Frog populations persist in the year 2024. Our results suggested that > 36% of historical Ornate Chorus Frog populations are possibly extirpated (probability of persistence < 0.5) and that 33% of populations had a probability of persistence > 0.9. Many of these extant populations occurred in northwestern Florida, southeastern Alabama, and southern Georgia, USA. The probability of persistence was positively influenced by habitat suitability and mean winter precipitation and negatively influenced by urban imperviousness. Ornate Chorus Frogs in protected areas had a higher average probability of persistence compared to populations that were not in protected areas. Our study fills a knowledge gap by identifying regions where Ornate Chorus Frog populations are likely thriving and regions where they may be extinct.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0332991","usgsCitation":"Koen, E.L., Ellington, E.H., Barichivich, W.J., Kochman, H., Enge, K.M., and Walls, S.E., 2025, Persistence of a declining anuran species across its distribution: PLoS ONE, v. 20, no. 9, e0332991, 19 p., https://doi.org/10.1371/journal.pone.0332991.","productDescription":"e0332991, 19 p.","ipdsId":"IP-174507","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0332991","text":"Publisher Index Page"},{"id":496261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina","otherGeospatial":"southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.71784743874963,\n 31.75977874337856\n ],\n [\n -91.41887328015432,\n 30.0038991640329\n ],\n [\n -81.31625954563552,\n 29.20277624190848\n ],\n [\n -76.06558770828089,\n 36.35992621029155\n ],\n [\n -78.31479749126278,\n 36.381895038050445\n ],\n [\n -79.79602141182846,\n 34.412235399163784\n ],\n [\n -83.52645511537602,\n 32.46454458803602\n ],\n [\n -86.36151154434091,\n 32.65274179593238\n ],\n [\n -88.57486167831063,\n 31.21366512354828\n ],\n [\n -91.71784743874963,\n 31.75977874337856\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Koen, Erin L. 0000-0001-9481-7692","orcid":"https://orcid.org/0000-0001-9481-7692","contributorId":330539,"corporation":false,"usgs":false,"family":"Koen","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":78927,"text":"Cherokee Nation Systems Solutions","active":true,"usgs":false}],"preferred":false,"id":949695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellington, Edward Hance","contributorId":361948,"corporation":false,"usgs":false,"family":"Ellington","given":"Edward","middleInitial":"Hance","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":949696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":216371,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kochman, Howard","contributorId":347042,"corporation":false,"usgs":false,"family":"Kochman","given":"Howard","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":949698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enge, Kevin M.","contributorId":361950,"corporation":false,"usgs":false,"family":"Enge","given":"Kevin","middleInitial":"M.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":949699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walls, Susan E. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":209862,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949700,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271928,"text":"70271928 - 2025 - Bears avoid residential neighborhoods in response to the experimental reduction of anthropogenic attractants","interactions":[],"lastModifiedDate":"2025-09-24T14:52:24.787526","indexId":"70271928","displayToPublicDate":"2025-09-22T07:45:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Bears avoid residential neighborhoods in response to the experimental reduction of anthropogenic attractants","docAbstract":"Introduction: Urbanization is an extreme form of land use alteration, with human development driving changes in the distribution of resources available to wildlife. Some large carnivores have learned to exploit anthropogenic food resources in urban development, resulting in human-carnivore conflict that can have detrimental impacts to people and carnivores, as exemplified by American black bears. Management agencies commonly promote the use of bear-resistant garbage containers for reducing conflicts, but little is known about the actual behavioral responses of bears to this intervention.
Methods: To understand whether black bears alter their behavior in response to changes in residential waste management, we investigated patterns of bear behavior in Durango, Colorado, where anthropogenic attractants were experimentally manipulated. Using location data from collared black bears, we modeled resource selection and movement in response to areas that had received bear-resistant garbage containers compared to those that did not.
Results: Bears avoided residential areas where garbage availability had been reduced, and this avoidance response increased over subsequent years, potentially suggesting that bears were learning from the management intervention. Bear movement rates, however, were not notably affected by the garbage reduction.
Discussion: Our findings highlight the importance of reducing the availability of anthropogenic attractants for changing bear behavior and reducing risk of urban human-bear conflict, and that these responses can strengthen over time as bears learn from the management intervention.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1657106","usgsCitation":"Venumière-Lefebvre, C.C., Johnson, H.E., Breck, S.W., Alldredge, M.W., and Crooks, K.R., 2025, Bears avoid residential neighborhoods in response to the experimental reduction of anthropogenic attractants: Frontiers in Ecology and Evolution, v. 13, 1657106, 16 p., https://doi.org/10.3389/fevo.2025.1657106.","productDescription":"1657106, 16 p.","ipdsId":"IP-180355","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1657106","text":"Publisher Index Page"},{"id":496001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Durango","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.03713489993451,\n 37.40217470571062\n ],\n [\n -108.03713489993451,\n 37.19518187022882\n ],\n [\n -107.73739324514958,\n 37.19518187022882\n ],\n [\n -107.73739324514958,\n 37.40217470571062\n ],\n [\n -108.03713489993451,\n 37.40217470571062\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Venumière-Lefebvre, Cassandre C.","contributorId":361762,"corporation":false,"usgs":false,"family":"Venumière-Lefebvre","given":"Cassandre","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":949407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, Stewart W.","contributorId":361764,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart","middleInitial":"W.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":949409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alldredge, Mathew W.","contributorId":361766,"corporation":false,"usgs":false,"family":"Alldredge","given":"Mathew","middleInitial":"W.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":949410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crooks, Kevin R.","contributorId":361768,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":949411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271944,"text":"70271944 - 2025 - Accounting for seasonal patterns in bird availability prevents biased population trend estimates with advancing spring phenology","interactions":[],"lastModifiedDate":"2026-02-09T15:59:54.888313","indexId":"70271944","displayToPublicDate":"2025-09-20T09:42:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for seasonal patterns in bird availability prevents biased population trend estimates with advancing spring phenology","docAbstract":"Advancing spring phenology has been observed around the world, including changes in the timing of breeding of birds. When singing rates are tied to breeding stage, the rate at which birds are available for detection by surveyors can also show seasonal patterns that may shift with spring phenology. As the timing of peak bird availability changes over years, monitoring programs that do not account for changing availability could incorrectly conclude that there is a change in population size. We used a 20-yr point-count dataset to test for relationships between bird availability and spring vegetation phenology for 27 species in boreal Alaska. Nine of 22 migratory species showed a significant effect of day of spring (DOS) on availability, usually with availability declining over the survey window (late spring and early summer). In contrast, 3 of 5 resident species showed availability increasing over the survey window. We then conducted a simulation study to evaluate how changing spring phenology could affect estimates of population trend under a static survey window. We found that including DOS in the model as a covariate of availability prevented bias in the trend estimates and did not reduce precision. However, when the model ignored the effect of DOS on availability, population trend estimates were often significantly biased when spring phenology was advancing. Our study adds to previous evidence that bird availability is often related to spring phenology, and demonstrates that failing to account for seasonal changes in availability could result in the spurious estimation of a population trend when spring phenology changes over time. In some cases, the bias could be large enough to change species status assessments under IUCN Red List Criteria. Monitoring programs for birds and other taxa with seasonally varying availability could avoid bias by simply measuring and modeling the relationship between DOS and availability.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf052","usgsCitation":"Weiser, E.L., Johnson, J., Matsuoka, S.M., and Handel, C.M., 2025, Accounting for seasonal patterns in bird availability prevents biased population trend estimates with advancing spring phenology: Ornithological Applications, v. 127, no. 4, p. 1-11, https://doi.org/10.1093/ornithapp/duaf052.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-178417","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"127","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":949463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James","contributorId":173063,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","affiliations":[],"preferred":false,"id":949464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274002,"text":"70274002 - 2025 - Strategic planning of prevention and surveillance for emerging diseases and invasive species","interactions":[],"lastModifiedDate":"2026-02-20T16:30:37.344994","indexId":"70274002","displayToPublicDate":"2025-09-19T10:26:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Strategic planning of prevention and surveillance for emerging diseases and invasive species","docAbstract":"Emerging infectious diseases and biological invasions pose increasing threats to public and ecosystems health. Proactive measures—such as prevention and surveillance taken before initial detection of the pathogen or species—are essential to ensure minimal spread prior to first detection. We developed an optimization model to determine where, when, and how much effort should be allocated to prevention versus surveillance. The model accounts for imperfect detection, system dynamics, spatial heterogeneity in risk and costs and is scalable to large landscapes. We found that the most cost-effective strategy is to maintain the prevention and surveillance efforts at stable equilibrium for the majority of the time, with deviations occurring only initially to steer the system toward the equilibrium. The equilibrium effort is jointly determined by the introduction risk, management costs, and total budget. Application of this model to chronic wasting disease in New York State suggests that the optimal strategy could reduce the cumulative disease cases before initial detection by an average of 22% compared to current practice. The optimal surveillance strategy could detect the disease on average over 8 mo earlier than the current strategy.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2507202122","usgsCitation":"Wang, J., Hanley, B.J., Thompson, N.E., Gong, Y., Walsh, D.P., Gonzalez-Crespo, C., Huang, Y., Booth, J.G., Caudell, J.N., Miller, L.A., Schuler, K.L., 2025, Strategic planning of prevention and surveillance for emerging diseases and invasive species: PNAS, v. 122, no. 39, e2507202122, 9 p., https://doi.org/10.1073/pnas.2507202122.","productDescription":"e2507202122, 9 p.","ipdsId":"IP-177913","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500578,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12501194","text":"External Repository"},{"id":500349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"39","noUsgsAuthors":false,"publicationDate":"2025-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jue","contributorId":211355,"corporation":false,"usgs":false,"family":"Wang","given":"Jue","email":"","affiliations":[],"preferred":false,"id":956087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanley, Brenda J.","contributorId":366605,"corporation":false,"usgs":false,"family":"Hanley","given":"Brenda","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":956088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Noelle E.","contributorId":366606,"corporation":false,"usgs":false,"family":"Thompson","given":"Noelle","middleInitial":"E.","affiliations":[{"id":36225,"text":"Western Association of Fish and Wildlife Agencies","active":true,"usgs":false}],"preferred":false,"id":956089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gong, Yu","contributorId":366607,"corporation":false,"usgs":false,"family":"Gong","given":"Yu","affiliations":[{"id":34006,"text":"Queen’s University","active":true,"usgs":false}],"preferred":false,"id":956090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":956091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez-Crespo, Carlos","contributorId":366611,"corporation":false,"usgs":false,"family":"Gonzalez-Crespo","given":"Carlos","affiliations":[{"id":35327,"text":"University of California – Davis","active":true,"usgs":false}],"preferred":false,"id":956092,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Yitong","contributorId":366612,"corporation":false,"usgs":false,"family":"Huang","given":"Yitong","affiliations":[{"id":35327,"text":"University of California – Davis","active":true,"usgs":false}],"preferred":false,"id":956093,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Booth, James G.","contributorId":366613,"corporation":false,"usgs":false,"family":"Booth","given":"James","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":956094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caudell, Joe N.","contributorId":366614,"corporation":false,"usgs":false,"family":"Caudell","given":"Joe","middleInitial":"N.","affiliations":[{"id":55448,"text":"Indiana Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956095,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Landon A.","contributorId":366615,"corporation":false,"usgs":false,"family":"Miller","given":"Landon","middleInitial":"A.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":956096,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schuler, Krysten L.","contributorId":366616,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":956097,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70274037,"text":"70274037 - 2025 - Ice Age biogeography corresponds with current climate vulnerability of freshwater fishes","interactions":[],"lastModifiedDate":"2026-02-23T17:00:47.816108","indexId":"70274037","displayToPublicDate":"2025-09-19T09:53:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ice Age biogeography corresponds with current climate vulnerability of freshwater fishes","docAbstract":"1. Both local environmental factors and historical biogeography shape ecological communities, but determining which historical biogeographical patterns correspond with contemporary climate vulnerability is an underused conservation method. The historical colonization patterns of freshwater fishes following the Pleistocene (“Ice Age”) glaciations offers an ideal model for comparing historical biogeography and climate-change vulnerability.
2. We used current thermal niches and future stream-temperature projections to estimate the climate vulnerability of 29 Great Plains and Rocky Mountain fishes that we classified as either early or late colonists of the region in the wake of glacial retreat (~19,000 years ago).
3. Ninety-three percent of the most vulnerable species were amongst the earliest colonists of the region and we consider them “postglacial-pioneer species”. Median predicted site loss (number of historically occupied sites predicted to become too warm by end-of-century) was 0% for late colonizing species and 33% for early colonizing species.
4. We provide empirical evidence that postglacial-pioneer fishes are uniquely vulnerable to climate change, and we suggest this may apply to many taxa from formerly glaciated regions. More broadly, we demonstrate that evaluating the relationship between current species-environment patterns and historical biogeography may be a fruitful avenue for future climate change and conservation research.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70098","usgsCitation":"Clancy, N.G., Budy, P.E., Walters, A.W., 2025, Ice Age biogeography corresponds with current climate vulnerability of freshwater fishes: Freshwater Biology, v. 70, no. 9, e70098, 11 p., https://doi.org/10.1111/fwb.70098.","productDescription":"e70098, 11 p.","ipdsId":"IP-160661","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.30686503555248,\n 65.96941120658738\n ],\n [\n -124.14315775412638,\n 45.060194959039514\n ],\n [\n -117.50546486911188,\n 33.44662341525755\n ],\n [\n -85.06334833163905,\n 30.623810459514957\n ],\n [\n -64.09085041980521,\n 45.76599507995419\n ],\n [\n -69.37510349475363,\n 64.53352486678543\n ],\n [\n -118.30686503555248,\n 65.96941120658738\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clancy, Niall G.","contributorId":366799,"corporation":false,"usgs":false,"family":"Clancy","given":"Niall","middleInitial":"G.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956246,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271481,"text":"ofr20251045 - 2025 - Three-dimensional seismic velocity model for the Cascadia Subduction Zone with shallow soils and topography, version 1.7","interactions":[{"subject":{"id":70194208,"text":"ofr20171152 - 2017 - P- and S-wave velocity models incorporating the Cascadia subduction zone for 3D earthquake ground motion simulations, Version 1.6—Update for Open-File Report 2007–1348","indexId":"ofr20171152","publicationYear":"2017","noYear":false,"title":"P- and S-wave velocity models incorporating the Cascadia subduction zone for 3D earthquake ground motion simulations, Version 1.6—Update for Open-File Report 2007–1348"},"predicate":"SUPERSEDED_BY","object":{"id":70271481,"text":"ofr20251045 - 2025 - Three-dimensional seismic velocity model for the Cascadia Subduction Zone with shallow soils and topography, version 1.7","indexId":"ofr20251045","publicationYear":"2025","noYear":false,"title":"Three-dimensional seismic velocity model for the Cascadia Subduction Zone with shallow soils and topography, version 1.7"},"id":1}],"lastModifiedDate":"2026-02-03T15:28:23.518326","indexId":"ofr20251045","displayToPublicDate":"2025-09-19T09:48:59","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1045","displayTitle":"Three-Dimensional Seismic Velocity Model for the Cascadia Subduction Zone with Shallow Soils and Topography, Version 1.7","title":"Three-dimensional seismic velocity model for the Cascadia Subduction Zone with shallow soils and topography, version 1.7","docAbstract":"The U.S. Geological Survey’s seismic velocity model for the Cascadia Subduction Zone provides P- and S-wave velocity (VP and VS, respectively) information from 40.2° to 50.0° N. latitude and −129.0° to −121.0° W. longitude, and is used to support a variety of research topics, including three-dimensional (3D) earthquake simulations and seismic hazard assessment in the Pacific Northwest. This report describes an update to the previous version (v) 1.6 of the 3D seismic velocity model for the Cascadia Subduction Zone. This new model (herein referred to as v1.7) contains more detailed near-surface structure for improved earthquake ground motion modeling. Updated features include the addition of a new shallow soil velocity model in the top few hundred meters and the option of adding user-specified topography. Although v1.6 of the Cascadia seismic velocity model has a minimum VS of 600 meters per second (m/s), the new model (v1.7) has a minimum VS of approximately 40 m/s. Overall, this update will allow for more accurate ground motion estimates from 3D simulations of scenario earthquakes in the Cascadia Subduction Zone region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251045","usgsCitation":"Wirth, E.A., Grant, A.R., Stone, I.P., Stephenson, W.J., and Frankel, A.D., 2025, Three-dimensional seismic velocity model for the Cascadia Subduction Zone with shallow soils and topography, version 1.7: U.S. Geological Survey Open-File Report 2025–1045, 18 p., https://doi.org/10.3133/ofr20251045.","productDescription":"Report: vi, 18 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-161899","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":495639,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HJ3IC","text":"USGS data release","description":"Wirth, E.A., Grant, A.R., Stone, I.P., Stephenson, W.J., and Frankel, A.D., 2025, Data for A 3-D Seismic Velocity Model for Cascadia with Shallow Soils & Topography, Version 1.7: U.S. Geological Survey data release, https://doi.org/10.5066/P14HJ3IC","linkHelpText":"Data for A 3-D Seismic Velocity Model for Cascadia with Shallow Soils & Topography, Version 1.7"},{"id":495638,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1045/images"},{"id":495637,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1045/ofr20251045.XML","description":"OFR 2025-1045 XML"},{"id":495636,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251045/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1045 HTML"},{"id":495635,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1045/ofr20251045.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1045 PDF"},{"id":495634,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1045/coverthb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121,\n 50\n ],\n [\n -129,\n 50\n ],\n [\n -129,\n 40.2\n ],\n [\n -121,\n 40.2\n ],\n [\n -121,\n 50\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Earthquake Science Center
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Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. To address this gap, we apply machine learning (ML) models to forecast streamflow drought 1-13 weeks into the future at > 3,000 streamgage locations across the conterminous United States (CONUS). We applied two ML methods (Long short-term memory (LSTM) neural networks; Light Gradient-Boosting Machine - LightGBM) and two benchmark model approaches (persistence; Autoregressive Integrated Moving Average - ARIMA) to predict weekly streamflow percentiles with independent models for each forecast horizon. To explore whether a training focus on dry weeks improved performance, both ML models were trained using all percentiles (LSTM-all, LightGBM-all) and only percentiles below 30% (LSTM<30, LightGBM<30). We evaluated model performance regionally and nationally for drought occurrence (the classification performance for a future date) and for drought onset/termination (performance identifying drought starts and ends). ML models generally performed worse than the persistence model for discrete classification (moderate, severe, extreme drought) of drought occurrence but exceeded the benchmark models for onset/termination. ML models outperformed benchmarks in predicting continuous streamflow percentiles below 30%. Occurrence performance was better for less intense droughts and shorter forecast horizons, with the ML models having predictive power at 1-4 week horizons for severe droughts (10th percentile threshold). All models struggled to forecast onset, though the best ML model was the LSTM<30 (sensitivity of 22%). Termination performance was greater, with the drought termination performance greatest for the LightGBM-all model. When estimating model uncertainty, the LSTM<30 model had the narrowest 90% percentile interval with closest to optimal capture. This work highlights the challenges and opportunities to further advance hydrological drought forecasting and supports an experimental operational streamflow drought assessment and forecast tool.
","language":"English","publisher":"Earth ArXiv","doi":"10.31223/X56X77","usgsCitation":"Hammond, J., Goodling, P.J., Diaz, J.A., Corson-Dosch, H.R., Heldmyer, A.J., Hamshaw, S.D., McShane, R., Ross, J.C., Sando, R., Simeone, C., Smith, E., Staub, L.E., Watkins, D., Wieczorek, M., Wnuk, K., and Zwart, J.A., 2025, Machine learning generated streamflow drought forecasts for the Conterminous United States (CONUS): Developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations: EarthArXiv, https://doi.org/10.31223/X56X77.","productDescription":"55 p.","ipdsId":"IP-179826","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":495839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Continental United States","geographicExtents":"{\n 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projections of COVID-19 burden in the US, 2024-2025","interactions":[],"lastModifiedDate":"2025-09-19T14:41:41.794225","indexId":"70271707","displayToPublicDate":"2025-09-18T09:33:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20081,"text":"JAMA Network Open","active":true,"publicationSubtype":{"id":10}},"title":"Scenario projections of COVID-19 burden in the US, 2024-2025","docAbstract":"Importance COVID-19 remains a disease with high burden in the US, prompting continued debate about optimal targets for annual vaccination.
Objective To project COVID-19 burden in the US for April 2024 to April 2025 under 6 scenarios of immune escape (20% and 50% per year) and levels of vaccine recommendation (no recommendation, vaccination for individuals at high risk only, vaccination for all eligible groups) and to assess the potential benefit of vaccine recommendations in reducing disease burden.
Design, Setting, and Participants For this decision analytical model, the US Scenario Modeling Hub, a collaborative modeling effort, convened 9 teams to provide scenario projections of US COVID-19 hospitalizations and deaths for April 2024 to April 2025, under 6 scenarios combining levels of immune escape and possible vaccine recommendations.
Exposure Annually reformulated vaccines were assumed to be 75% effective against hospitalization for variants circulating on June 15, 2024, and available on September 1, 2024. Age- and state-specific coverage was assumed to be as reported in September 2023 to April 2024.
Main Outcomes and Measures Ensemble estimates were made for weekly COVID-19 hospitalizations and deaths. Projections are presented for relative and absolute prevented hospitalizations and deaths averted due to vaccination over the April 2024 to April 2025 period.
Results For the US population (332 million, with an estimated 58 million aged ≥65 years), COVID-19 was expected to cause 814 000 (95% projection interval [PI], 400 000-1.2 million) hospitalizations and 54 000 (95% PI, 17 000-98 000) deaths for April 2024 to April 2025, comparable in magnitude to the prior year. Vaccination of high-risk groups only was projected to reduce hospitalizations (compared to no vaccination recommendation) by 76 000 (95% CI, 34 000-118 000) and deaths by 7000 (95% CI, 3000-11 000) across both immune escape scenarios. Compared with vaccinating high-risk groups only, a universal vaccine recommendation was projected to provide direct and indirect benefits, further preventing 11 000 hospitalizations and 1000 deaths in those aged 65 years and older.
Conclusions and Relevance In this decision analytical modeling study of COVID-19 burden in the US in 2024 to 2025, ensemble projections suggested that although vaccinating high-risk groups had substantial benefits in reducing disease burden, maintaining the vaccine recommendation for all individuals had the potential to save thousands more lives. Despite divergence of projections from observed disease trends in 2024 to 2025—possibly driven by variant emergence patterns and immune escape—averted COVID-19 burden due to vaccination was robust across immune escape scenarios, emphasizing the substantial benefit of broader vaccine availability for all individuals.
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density that inform conservation and management practices for imperiled species. As a result, evaluating the performance of different survey methods across a range of conditions that may be encountered in the field can increase understanding of the time and effort that may be required to ensure that survey results are sufficiently accurate and reliable for conservation goals. We used a spatially explicit agent-based model to simulate four commonly used freshwater mussel field survey methodologies: simple random sampling (SRS), transect random sampling (TRS), adaptive cluster sampling (ACS), and qualitative timed searches (QTS) to investigate the influence of sampling method, spatial distribution, and mussel density on the performance (i.e., accuracy, precision, and detection rate) of survey techniques. Our analysis suggests that mussel density, spatial distribution, and sampling effort influence sampling accuracy, precision, and species detection for all sampling methods. QTS produces highly variable catch-per-unit-effort (CPUE) metrics when mussels are dense and/or clustered, indicating the technique may be unreliable as a proxy for density. Quantitative methods like SRS and TRS may be well-suited for estimating population characteristics, but a high level of effort may be needed to obtain reasonable accuracy when mussels occur at low densities. ACS may be more efficient for mussels at low densities, but it can be challenging to plan for the level of effort required to complete an ACS protocol. Designing an ecological survey requires careful consideration of research objectives and available resources. Future research may consider the performance of qualitative and quantitative surveys in combination as a means of overcoming some of the practical challenges of applying individual survey methods.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2025.114172","usgsCitation":"Foxfoot, I.R., Cushway, K.C., Schwalb, A.N., Smith, D.R., and Swannack, T.M., 2025, Evaluating freshwater mussel sampling methodologies using a simulation model: Ecological Indicators, v. 179, 114172, 14 p., https://doi.org/10.1016/j.ecolind.2025.114172.","productDescription":"114172, 14 p.","ipdsId":"IP-181659","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2025.114172","text":"Publisher Index Page"},{"id":499174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Foxfoot, Iris R.","contributorId":336806,"corporation":false,"usgs":false,"family":"Foxfoot","given":"Iris","middleInitial":"R.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":954690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cushway, Kiara C.","contributorId":365735,"corporation":false,"usgs":false,"family":"Cushway","given":"Kiara","middleInitial":"C.","affiliations":[{"id":87200,"text":"US Army Engineer Research and Development Center; UIC Government Services LLC","active":true,"usgs":false}],"preferred":false,"id":954691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwalb, Astrid N.","contributorId":333385,"corporation":false,"usgs":false,"family":"Schwalb","given":"Astrid","middleInitial":"N.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":954692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":954693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swannack, Todd M.","contributorId":336813,"corporation":false,"usgs":false,"family":"Swannack","given":"Todd","middleInitial":"M.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":954694,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271926,"text":"70271926 - 2025 - Reservoir operational strategies for sustainable sand management in the Colorado River","interactions":[],"lastModifiedDate":"2025-09-24T15:24:43.186803","indexId":"70271926","displayToPublicDate":"2025-09-18T08:14:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Reservoir operational strategies for sustainable sand management in the Colorado River","docAbstract":"Climate change and increasing societal demands for water pose challenges for the management of dam-regulated rivers. Management decisions impact the environment of these rivers, creating the need to balance societal needs with environmental conservation. Here we present a modeling framework that optimizes resource benefits within imposed water use goals for the Colorado River in Grand Canyon, where sandbars are a valued natural feature. The current sand-management paradigm utilizes controlled dam-release floods to build and maintain sandbars without exhausting the limited sand supplied by tributaries downstream from Glen Canyon Dam, which blocks all sand supplied from upriver. High monthly releases outside of controlled floods erode sandbars and cause net sand export from Grand Canyon, reducing the sand available to build sandbars. Releases are high in some months owing to the need to adjust flows to meet annual delivery targets, which can be updated throughout the year. Here, we present alternative strategies for operations that avoid high releases, while meeting water storage and delivery goals. We test these strategies using a simplified reservoir model which accounts for forecast uncertainty. We show how these strategies affect sand mass balance and sandbar size using previously developed models. Strategies optimal for sustainable sandbar building maintained sufficient reservoir elevations for implementing controlled floods, avoided high monthly releases by relaxing annual release constraints, and implemented controlled floods in fall immediately following tributary sand inputs. Coordinated modeling of reservoir operations and environmental resources is valuable for managers seeking to balance societal and environmental needs in regulated rivers worldwide.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038315","usgsCitation":"Salter, G.L., Topping, D.J., Wang, J., Schmidt, J.C., Yackulic, C., Bair, L., Mueller, E., and Grams, P.E., 2025, Reservoir operational strategies for sustainable sand management in the Colorado River: Water Resources Research, v. 61, no. 9, e2024WR038315, 27 p., https://doi.org/10.1029/2024WR038315.","productDescription":"e2024WR038315, 27 p.","ipdsId":"IP-167426","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496155,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038315","text":"Publisher Index Page"},{"id":496013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.0504953550317,\n 36.97634003343833\n ],\n [\n -114.0504953550317,\n 35.748902843127084\n ],\n [\n -111.3294352062603,\n 35.748902843127084\n ],\n [\n -111.3294352062603,\n 36.97634003343833\n ],\n [\n -114.0504953550317,\n 36.97634003343833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Salter, Gerard Lewis 0000-0001-6426-0133","orcid":"https://orcid.org/0000-0001-6426-0133","contributorId":333645,"corporation":false,"usgs":true,"family":"Salter","given":"Gerard","email":"","middleInitial":"Lewis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Jianghao","contributorId":195004,"corporation":false,"usgs":false,"family":"Wang","given":"Jianghao","email":"","affiliations":[],"preferred":false,"id":949401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, John C.","contributorId":361760,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","middleInitial":"C.","affiliations":[{"id":86346,"text":"Center for Colorado River Studies, Department of Watershed Sciences, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":949402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":949403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":949405,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949406,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264311,"text":"70264311 - 2025 - Interrogating process deficiencies in large-scale hydrologic models with interpretable machine learning","interactions":[],"lastModifiedDate":"2025-11-26T16:47:08.362588","indexId":"70264311","displayToPublicDate":"2025-09-17T10:34:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Interrogating process deficiencies in large-scale hydrologic models with interpretable machine learning","docAbstract":"Large-scale hydrologic models are increasingly being developed for operational use in the forecasting and planning of water resources. However, the predictive strength of such models depends on how well they resolve various functions of catchment hydrology, which are influenced by gradients in climate, topography, soils, and land use. Most assessments of hydrologic model uncertainty have been limited to traditional statistical methods. Here, we present a proof-of-concept approach that uses interpretable machine learning techniques to provide post hoc assessment of model sensitivity and process deficiency in hydrologic models. We train a random forest model to predict the Kling–Gupta efficiency (KGE) of National Water Model (NWM) and National Hydrologic Model (NHM) streamflow predictions for 4383 stream gauges in the conterminous United States. Thereafter, we explain the local and global controls that 48 catchment attributes exert on KGE prediction using interpretable Shapley values. Overall, we find that soil water content is the most impactful feature controlling successful model performance, suggesting that soil water storage is difficult for hydrologic models to resolve, particularly for arid locations. We identify nonlinear thresholds beyond which predictive performance decreases for NWM and NHM. For example, soil water content less than 210 mm, precipitation less than 900 mm yr−1, road density greater than 5 km km−2, and lake area percent greater than 10 % contributed to lower KGE values. These results suggest that improvements in how these influential processes are represented could result in the largest increases in NWM and NHM predictive performance. This study demonstrates the utility of interrogating process-based models using data-driven techniques, which has broad applicability and potential for improving the next generation of large-scale hydrologic models.
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[\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationDate":"2025-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Husic, Admin 0000-0002-4225-2252","orcid":"https://orcid.org/0000-0002-4225-2252","contributorId":340064,"corporation":false,"usgs":false,"family":"Husic","given":"Admin","email":"","affiliations":[{"id":81445,"text":"Assistant Professor (Kansas University)","active":true,"usgs":false}],"preferred":false,"id":930390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, John Christopher 0000-0002-6241-3551","orcid":"https://orcid.org/0000-0002-6241-3551","contributorId":302952,"corporation":false,"usgs":true,"family":"Hammond","given":"John","email":"","middleInitial":"Christopher","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Adam N. 0000-0002-7211-4758","orcid":"https://orcid.org/0000-0002-7211-4758","contributorId":295971,"corporation":false,"usgs":false,"family":"Price","given":"Adam","email":"","middleInitial":"N.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":930392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roundy, Joshua","contributorId":352231,"corporation":false,"usgs":false,"family":"Roundy","given":"Joshua","affiliations":[{"id":84135,"text":"Department of Civil, Environmental and Architectural Engineering, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":930393,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271488,"text":"70271488 - 2025 - Reduced Atlantic reef growth past 2 °C warming amplifies sea-level impacts","interactions":[],"lastModifiedDate":"2025-12-01T16:35:40.162981","indexId":"70271488","displayToPublicDate":"2025-09-17T09:09:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Reduced Atlantic reef growth past 2 °C warming amplifies sea-level impacts","docAbstract":"Coral reefs form complex physical structures that can help to mitigate coastal flooding risk1,2. This function will be reduced by sea-level rise (SLR) and impaired reef growth caused by climate change and local anthropogenic stressors3. Water depths above reef surfaces are projected to increase as a result, but the magnitudes and timescales of this increase are poorly constrained, which limits modelling of coastal vulnerability4,5. Here we analyse fossil reef deposits to constrain links between reef ecology and growth potential across more than 400 tropical western Atlantic sites, and assess the magnitudes of resultant above-reef increases in water depth through to 2100 under various shared socioeconomic pathway (SSP) emission scenarios. Our analysis predicts that more than 70% of tropical western Atlantic reefs will transition into net erosional states by 2040, but that if warming exceeds 2 °C (SSP2–4.5 and higher), nearly all reefs (at least 99%) will be eroding by 2100. The divergent trajectories of reef growth and SLR will thus magnify the effects of SLR; increases in water depth of around 0.3–0.5 m above the present are projected under all warming scenarios by 2060, but depth increases of 0.7–1.2 m are predicted by 2100 under scenarios in which warming surpasses 2 °C. This would increase the risk of flooding along vulnerable reef-fronted coasts and modify nearshore hydrodynamics and ecosystems. Reef restoration offers one pathway back to higher reef growth6,7, but would dampen the effects of SLR in 2100 only by around 0.3–0.4 m, and only when combined with aggressive climate mitigation.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-025-09439-4","usgsCitation":"Perry, C.T., de Bakker, D., Webb, A., Comeau, S., Harvey, B., Cornwall, C., Alvarez-Filip, L., Perez-Cervantes, E., Morris, J.T., Enochs, I.C., Toth, L., O'Dea, A., Dillon, E.M., Meesters, E.H., and Precht, W., 2025, Reduced Atlantic reef growth past 2 °C warming amplifies sea-level impacts: Nature, v. 646, p. 619-626, https://doi.org/10.1038/s41586-025-09439-4.","productDescription":"8 p.","startPage":"619","endPage":"626","ipdsId":"IP-174363","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495742,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-025-09439-4","text":"Publisher Index Page"},{"id":495706,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bonaire, Mexico, United 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-68.43913576613566,\n 12.261657501254277\n ],\n [\n -68.43913576613566,\n 12.064862302815328\n ],\n [\n -68.2395272475406,\n 12.064862302815328\n ],\n [\n -68.2395272475406,\n 12.261657501254277\n ],\n [\n -68.43913576613566,\n 12.261657501254277\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"646","noUsgsAuthors":false,"publicationDate":"2025-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Chris T.","contributorId":361512,"corporation":false,"usgs":false,"family":"Perry","given":"Chris","middleInitial":"T.","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":948935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Bakker, Didier","contributorId":361513,"corporation":false,"usgs":false,"family":"de Bakker","given":"Didier","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":948936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Alice","contributorId":361514,"corporation":false,"usgs":false,"family":"Webb","given":"Alice","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":948937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Comeau, Steeve","contributorId":361519,"corporation":false,"usgs":false,"family":"Comeau","given":"Steeve","affiliations":[{"id":86307,"text":"Sorbonne Universite","active":true,"usgs":false}],"preferred":false,"id":948939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Ben","contributorId":361520,"corporation":false,"usgs":false,"family":"Harvey","given":"Ben","affiliations":[{"id":27339,"text":"University of Tsukuba","active":true,"usgs":false}],"preferred":false,"id":948940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cornwall, Chris","contributorId":361516,"corporation":false,"usgs":false,"family":"Cornwall","given":"Chris","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":948938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alvarez-Filip, Lorenzo","contributorId":361523,"corporation":false,"usgs":false,"family":"Alvarez-Filip","given":"Lorenzo","affiliations":[{"id":18923,"text":"Universidad Nacional Autonoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":948941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perez-Cervantes, Esmerelda","contributorId":361526,"corporation":false,"usgs":false,"family":"Perez-Cervantes","given":"Esmerelda","affiliations":[{"id":18923,"text":"Universidad Nacional Autonoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":948942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morris, John T","contributorId":268198,"corporation":false,"usgs":false,"family":"Morris","given":"John","email":"","middleInitial":"T","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":948943,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Enochs, Ian C.","contributorId":181746,"corporation":false,"usgs":false,"family":"Enochs","given":"Ian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":948944,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948945,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"O'Dea, Aaron","contributorId":361532,"corporation":false,"usgs":false,"family":"O'Dea","given":"Aaron","affiliations":[{"id":12671,"text":"Smithsonian Tropical Research Institute","active":true,"usgs":false}],"preferred":false,"id":948946,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dillon, Erin M.","contributorId":221878,"corporation":false,"usgs":false,"family":"Dillon","given":"Erin","email":"","middleInitial":"M.","affiliations":[{"id":34029,"text":"U.C. Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":949002,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Meesters, Erik H,","contributorId":361576,"corporation":false,"usgs":false,"family":"Meesters","given":"Erik","middleInitial":"H,","affiliations":[],"preferred":false,"id":948947,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Precht, William F.","contributorId":119464,"corporation":false,"usgs":true,"family":"Precht","given":"William F.","affiliations":[],"preferred":false,"id":949003,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70269893,"text":"sir20255057 - 2025 - Sources of water and salts for the Zuni Salt Lake in west-central New Mexico","interactions":[],"lastModifiedDate":"2026-02-03T15:26:20.493234","indexId":"sir20255057","displayToPublicDate":"2025-09-17T09:01:13","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5057","displayTitle":"Sources of Water and Salts for the Zuni Salt Lake in West-Central New Mexico","title":"Sources of water and salts for the Zuni Salt Lake in west-central New Mexico","docAbstract":"The Zuni Salt Lake is located in a maar in west-central New Mexico and contains hypersaline water that has long been used by Native Americans for religious purposes and the collection of salt. There have been several investigations suggesting different sources for the water and salt to the lake. Springs, seeps, and ephemeral streamflow have all been observed to contribute freshwater to the lake, and brackish to hypersaline seeps have been documented along the banks of the lake. This report summarizes the findings of a study that characterizes the lake’s hydrology, its water and salinity sources, and the hydrogeologic conceptual model. Regional groundwater levels indicate that each of the aquifers in the area have the potential to discharge groundwater to the lake. There is also evidence of vertical groundwater flow pathways at the maar that were likely created by the igneous intrusion that fractured the intersecting aquifers. A detailed water budget was constructed from continuous lake stage, precipitation, and evaporation data to estimate the groundwater inflow to the Zuni Salt Lake. It was determined that groundwater inflow to the lake is 441 ±94 acre-feet per year, which composes as much as 77 percent of the total inflows. The high sodium and chloride concentrations measured in two hypersaline samples collected near the lake indicate that the majority of the dissolved solids entering the lake are from a hypersaline groundwater source. The geochemical and isotopic compositions measured in the lake and surrounding features support the interpretation that hypersaline groundwater is the primary source of salts to the lake, which is likely sourced from the older (and deeper) Permian units. The hypersaline groundwater samples collected during this investigation have a unique aqueous chemistry relative to each of the mapped aquifers, and variability in groundwater compositions is interpreted to result from differences in minerology and residence time.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Contact Us- USGS Publications Warehouse
","tableOfContents":"Arctic cod (Boreogadus saida, also called polar cod) are considered the single most important Arctic forage fish due to their high abundance and nutritional quality. Because Arctic cod are strongly ice associated and prefer colder waters, their frequency in coastal waters has declined with warming, decreasing availability to nearshore predators. To consider the nutritional quality of alternative prey, we measured energy density and estimated whole-body energy of forage-size (39–200 mm) fishes collected during summers 2021–2023 (n = 274). The fishes sampled included 16 potential prey species from Foggy Island Bay (70.3°N, 147.5°W, near Prudhoe Bay) and Lion Bay (70.2°N, 146.4°W, near Flaxman Island), northern Alaska. Dry weight energy densities ranged from 16.2 to 27.5 kJ g-1 (mean ± SD = 22.0 ± 1.73 kJ g-1, n = 274) across individuals. Of common species, Arctic cod had the highest mean energy density (24.3 ± 1.1 kJ g-1, n = 25) and fourhorn sculpin (Myoxocephalus quadricornis) had the lowest (19.7 ± 0.8 kJ g-1, n = 20). To account for size differences among prey species, whole-body energy of typical fish sizes available to predators were modeled using whole-body energy to length relationships and length distributions. Juvenile salmonids (e.g., ciscoes and whitefishes) provided the most energy per individual and were four-fold greater than smaller-bodied Arctic cod. Predators that consume juvenile ciscoes and whitefishes may be more resilient to declines in Arctic cod availability than predators with smaller gapes.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00227-025-04705-5","usgsCitation":"Stanek, A.E., Uher-Koch, B.D., Dunton, K.H., and von Biela, V.R., 2025, Energetic value of Arctic forage-sized fish with implications for a nearshore seabird predator: Marine Biology, v. 172, 157, 13 p., https://doi.org/10.1007/s00227-025-04705-5.","productDescription":"157, 13 p.","ipdsId":"IP-171231","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":495747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-025-04705-5","text":"Publisher Index Page"},{"id":495713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.2117957640097,\n 71.3543754933907\n ],\n [\n -157.2117957640097,\n 69.83926146873208\n ],\n [\n -145.833226056111,\n 69.83926146873208\n ],\n [\n -145.833226056111,\n 71.3543754933907\n ],\n [\n -157.2117957640097,\n 71.3543754933907\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"172","noUsgsAuthors":false,"publicationDate":"2025-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanek, Ashley E. 0000-0001-5184-2126","orcid":"https://orcid.org/0000-0001-5184-2126","contributorId":290682,"corporation":false,"usgs":true,"family":"Stanek","given":"Ashley","email":"","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":948998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":948999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunton, Kenneth H. 0000-0003-3498-8021","orcid":"https://orcid.org/0000-0003-3498-8021","contributorId":361574,"corporation":false,"usgs":false,"family":"Dunton","given":"Kenneth","middleInitial":"H.","affiliations":[{"id":47685,"text":"Marine Science Institute, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":949000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":949001,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272173,"text":"70272173 - 2025 - Ecophysiology of two mesophotic octocorals intended for restoration: Effects of light and temperature","interactions":[],"lastModifiedDate":"2025-12-01T16:53:34.273606","indexId":"70272173","displayToPublicDate":"2025-09-17T08:08:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Ecophysiology of two mesophotic octocorals intended for restoration: Effects of light and temperature","docAbstract":"Light and temperature are driving forces that shape the evolution and physiology of mesophotic organisms. On the Mississippi-Alabama continental shelf, octocorals dominate the mesophotic seascape and provide habitat for many fish and invertebrate species. Gaps in knowledge regarding the fundamental physiological responses of these species to light and temperature are of particular interest to restoration activities following the Deepwater Horizon oil spill. To address these gaps, the photobiology and thermal tolerance of Swiftia exserta and Muricea pendula were assessed in the field and laboratory. Pulse amplitude modulated fluorometry, histology, light microscopy, and epifluorescence imaging revealed low densities of photosynthetic endobionts in samples of S. exserta and none in samples of M. pendula collected near the determined bottom of the euphotic zone (51.45 m). Response to the recorded monthly mean habitat temperature range (18.5–25.4°C) was assessed using respirometry and polyp activity data from live corals exposed to temperatures between 18°C and 26°C. There was no significant difference in oxygen consumption for either species between 18°C and 26°C, and calculated Q10 values were not significantly different from 1, thus suggesting that both species have a low sensitivity to the local thermal environment. However, a negative correlation between temperature and polyp activity suggests that M. pendula is more sensitive to higher temperatures than S. exserta. This study improves the understanding of the effects of light and temperature on mesophotic octocoral physiology and lays the foundation for future work to explore the thermal thresholds of each species and the endobiont–host relationship in S. exserta.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70214","usgsCitation":"Lange, K., Aquilina-Beck, A., Mccauley, M., Johnstone, J., Demopoulos, A., Greig, T., Beers, J.M., Spalding, H.L., and Etnoyer, P.J., 2025, Ecophysiology of two mesophotic octocorals intended for restoration: Effects of light and temperature: Limnology and Oceanography, v. 70, no. 11, p. 3309-3321, https://doi.org/10.1002/lno.70214.","productDescription":"13 p.","startPage":"3309","endPage":"3321","ipdsId":"IP-170683","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496730,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.70214","text":"Publisher Index Page"},{"id":496581,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.45340087314823,\n 30.115510467549512\n ],\n [\n -89.64821880892258,\n 27.852030542053697\n ],\n [\n -77.85588264276542,\n 30.821175006212798\n ],\n [\n -78.19061941496408,\n 33.2102871797333\n ],\n [\n -89.45340087314823,\n 30.115510467549512\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lange, Kassidy","contributorId":362314,"corporation":false,"usgs":false,"family":"Lange","given":"Kassidy","affiliations":[{"id":86500,"text":"Consolidated Safety Services (CSS) Inc., under contract to National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, National Centers for Coastal Ocean Science, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquilina-Beck, Allisan","contributorId":362315,"corporation":false,"usgs":false,"family":"Aquilina-Beck","given":"Allisan","affiliations":[{"id":86500,"text":"Consolidated Safety Services (CSS) Inc., under contract to National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, National Centers for Coastal Ocean Science, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mccauley, Mark 0000-0001-5347-6860","orcid":"https://orcid.org/0000-0001-5347-6860","contributorId":357083,"corporation":false,"usgs":true,"family":"Mccauley","given":"Mark","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnstone, Julia","contributorId":243034,"corporation":false,"usgs":false,"family":"Johnstone","given":"Julia","email":"","affiliations":[{"id":48621,"text":"Darling Marine Center, University of Maine","active":true,"usgs":false}],"preferred":false,"id":950307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":210508,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greig, Thomas","contributorId":362316,"corporation":false,"usgs":false,"family":"Greig","given":"Thomas","affiliations":[{"id":86503,"text":"National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, National Centers for Coastal Ocean Science, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beers, Jody M.","contributorId":362317,"corporation":false,"usgs":false,"family":"Beers","given":"Jody","middleInitial":"M.","affiliations":[{"id":86504,"text":"College of Charleston, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950310,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spalding, Heather L.","contributorId":362318,"corporation":false,"usgs":false,"family":"Spalding","given":"Heather","middleInitial":"L.","affiliations":[{"id":86504,"text":"College of Charleston, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950311,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Etnoyer, Peter J.","contributorId":362319,"corporation":false,"usgs":false,"family":"Etnoyer","given":"Peter","middleInitial":"J.","affiliations":[{"id":86503,"text":"National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, National Centers for Coastal Ocean Science, Charleston, SC, United States","active":true,"usgs":false}],"preferred":false,"id":950312,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70272270,"text":"70272270 - 2025 - Hydrologic connectivity in floodplain systems: A multiscale review of concepts, metrics and management","interactions":[],"lastModifiedDate":"2025-11-20T16:06:54.982885","indexId":"70272270","displayToPublicDate":"2025-09-16T10:03:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity in floodplain systems: A multiscale review of concepts, metrics and management","docAbstract":"Hydrologic connectivity (HC), particularly in floodplain systems, is pivotal in regulating ecosystem services by facilitating the movement of nutrients, sediments, chemicals, and biota. However, human interventions such as dam construction, levee installation, water management practices, and alterations in vegetation have significantly disrupted natural HC patterns globally. To provide a structured entry into the growing body of HC research, we conducted a systematic literature review of 1920 studies, analysing diverse definitions, influencing factors, quantification approaches, spatial and temporal scales, and management strategies. In addition to traditional review methods, our approach integrates keyword and cluster analysis to elucidate dominant research themes and trends across the literature. Our review reveals that the literature is heavily skewed towards research in North America and Europe (accounting for 72% of studies) and predominantly utilises field investigations, simulation modelling, and remote sensing integrated with geographic information systems. Although these methodologies have advanced our understanding, most studies focus on restricted spatial scales such as individual hillslopes, catchments, or stream networks and short temporal intervals, including single precipitation events or seasonal cycles. A narrow focus becomes a limitation when such studies do not contribute to broader efforts aimed at scaling insights across larger domains. These limitations highlight the potential benefits of innovative conceptual frameworks and quantification methods to better capture HC across broader environments and extended temporal scales. We conclude by discussing challenges in defining and quantifying floodplain HC and outlining potential future research directions to advance connectivity science and management, particularly in floodplain systems characterised by frequent hydrologic fluctuations, such as seasonal inundation and changing flow paths.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70260","usgsCitation":"Hafez Ahmad, Miranda, L.E., Dunn, C.G., Melanie R. Boudreau, and Colvin, M.E., 2025, Hydrologic connectivity in floodplain systems: A multiscale review of concepts, metrics and management: Hydrological Processes, v. 39, no. 9, e70260, 23 p., https://doi.org/10.1002/hyp.70260.","productDescription":"e70260, 23 p.","ipdsId":"IP-177204","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Hafez Ahmad","contributorId":362594,"corporation":false,"usgs":false,"family":"Hafez Ahmad","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":950631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melanie R. Boudreau","contributorId":362597,"corporation":false,"usgs":false,"family":"Melanie R. Boudreau","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":950634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271504,"text":"70271504 - 2025 - To heal or not to heal?: 2. The moment-recurrence time behavior of repeating earthquakes in the 2011 Prague, Oklahoma aftershock sequence is consistent with laboratory healing rates","interactions":[],"lastModifiedDate":"2025-09-18T14:38:35.152792","indexId":"70271504","displayToPublicDate":"2025-09-16T09:27:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"To heal or not to heal?: 2. The moment-recurrence time behavior of repeating earthquakes in the 2011 Prague, Oklahoma aftershock sequence is consistent with laboratory healing rates","docAbstract":"The timing and failure conditions of an earthquake are governed by the interplay between fault reloading and restrengthening. The moment-recurrence time behavior of repeating earthquakes can give observational estimates of fault healing rates; however, it is difficult to link these observed healing rates to laboratory studies of frictional healing in part because of uncertainty in lithology. Here, we study the 2011 Prague earthquake sequence, which includes repeating earthquakes in the Arbuckle group and the granitic basement, and compare them to laboratory experiments on samples of the Arbuckle and Troy granite (representative of the basement rock) (Okamoto et al., 2025, https://doi.org/10.1029/2024JB030573). We find three spatially distinct groups of repeating earthquakes with different moment-recurrence behavior: (a) constant moment-recurrence time in the Arbuckle group, (b) scattered moment-recurrence time at the intersection of the foreshock-mainshock fault in the granitic basement, and (c) moment-predictable behavior outside of the foreshock-mainshock fault intersection also in the granitic basement. Our observation of stagnant healing for repeating sequences in the Arbuckle group is consistent with laboratory observations of low healing rates for moderately high pore fluid pressures in Arbuckle samples. For the moment-predictable group, the source radius that is required in order to match healing rates is consistent with source radius estimations when taking into account reasonable attenuation of the P-pulse width. Overall, we observe diverse healing behaviors in the seismic families that are consistent with laboratory healing rates, providing seismic evidence that contact-scale frictional mechanisms are relevant to large-scale earthquake dynamics.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB030548","usgsCitation":"Okamoto, K., Savage, H., Cochran, E.S., Brodsky, E., and Abercrombie, R., 2025, To heal or not to heal?: 2. The moment-recurrence time behavior of repeating earthquakes in the 2011 Prague, Oklahoma aftershock sequence is consistent with laboratory healing rates: JGR Solid Earth, v. 130, no. 9, e2024JB030548, 18 p., https://doi.org/10.1029/2024JB030548.","productDescription":"e2024JB030548, 18 p.","ipdsId":"IP-172199","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":495743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb030548","text":"Publisher Index Page"},{"id":495707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.7,\n 35.6\n ],\n [\n -96.9,\n 35.6\n ],\n [\n -96.9,\n 35.4\n ],\n [\n -96.7,\n 35.4\n ],\n [\n -96.7,\n 35.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Okamoto, Kristina","contributorId":296586,"corporation":false,"usgs":false,"family":"Okamoto","given":"Kristina","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":948974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, Heather","contributorId":296588,"corporation":false,"usgs":false,"family":"Savage","given":"Heather","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":948975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodsky, Emily","contributorId":299735,"corporation":false,"usgs":false,"family":"Brodsky","given":"Emily","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":948977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":948978,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271923,"text":"70271923 - 2025 - Environmental drivers of Greater Sage-grouse population trends over 25 years in Idaho, USA","interactions":[],"lastModifiedDate":"2025-09-24T15:36:30.070481","indexId":"70271923","displayToPublicDate":"2025-09-16T08:31:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of Greater Sage-grouse population trends over 25 years in Idaho, USA","docAbstract":"Greater Sage-grouse (Centrocercus urophasianus) populations have been in decline for decades across much of the US Intermountain West. However, findings from 25 years of lek counts in Idaho indicate that some populations are stable or even increasing. After accounting for potential biases in past lek count data, we sought to explain the variability in population trends among all 70 lek clusters (i.e., populations) we identified in the state. For each population, we identified lek count troughs, or low-point years, that occurred between the mid-1990s and 2021 and used a regression slope of those abundance low points to quantify each population's trend over the 25-year time span. We related the 70 populations' slopes to climate, fire, topographic, vegetation, and landcover variables. Our analyses revealed that populations with negative trends tend to occur toward the ends of climate gradients (i.e., extremes of occupied habitats) and in locations with more wildfire, agriculture, and riparian landcover. Populations with positive trends generally occur in landscapes toward the middle of the climate gradient, with high amounts of low sagebrush (Artemisia arbuscula) landcover and intermediate amounts of riparian and agricultural landcover. Post hoc analysis indicated that the latter two drivers were strongly associated with high raven occupancy rates, which may contribute to the negative sage-grouse population trends we observed in areas with high riparian or agricultural landcover. When modeled separately for different regions however, various region-specific drivers were identified, including tree cover, annual herbaceous cover, and human development. This information can help guide sage-grouse habitat management decisions and set expectations for population recovery, given the diversity of habitats occupied by the species and the cyclic nature of sage-grouse populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70331","usgsCitation":"Arkle, R.S., Pilliod, D.S., Jeffries, M.I., Welty, J.L., Moser, A., Ellsworth, E.A., and Major, D.J., 2025, Environmental drivers of Greater Sage-grouse population trends over 25 years in Idaho, USA: Ecosphere, v. 16, no. 9, e70331, 20 p., https://doi.org/10.1002/ecs2.70331.","productDescription":"e70331, 20 p.","ipdsId":"IP-156975","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":496159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70331","text":"Publisher Index Page"},{"id":496016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.51050707303654,\n 44.996426283603455\n ],\n [\n -117.51050707303654,\n 41.98536993997118\n ],\n [\n -110.93279337585523,\n 41.98536993997118\n ],\n [\n -110.93279337585523,\n 44.996426283603455\n ],\n [\n -117.51050707303654,\n 44.996426283603455\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":216345,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Ann","contributorId":201657,"corporation":false,"usgs":false,"family":"Moser","given":"Ann","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":949396,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, Ethan A.","contributorId":201653,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Ethan","email":"","middleInitial":"A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":949397,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Major, Donald J.","contributorId":361757,"corporation":false,"usgs":false,"family":"Major","given":"Donald","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":949398,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272037,"text":"70272037 - 2025 - Warming induces unexpectedly high soil respiration in a wet tropical forest","interactions":[],"lastModifiedDate":"2025-11-13T15:05:02.373977","indexId":"70272037","displayToPublicDate":"2025-09-16T07:55:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Warming induces unexpectedly high soil respiration in a wet tropical forest","docAbstract":"Tropical forests are a dominant regulator of the global carbon cycle, exchanging more carbon dioxide with the atmosphere than any other terrestrial biome. Climate models predict unprecedented climatic warming in tropical regions in the coming decades; however, in situ field warming studies are severely lacking in tropical forests. Here we present results from an in situ warming experiment in Puerto Rico, where soil respiration responses to +4 oC warming were assessed half-hourly for a year. Soil respiration rates were 42-204% higher in warmed relative to ambient plots, representing some of the highest soil respiration rates reported for any terrestrial ecosystem. While respiration rates were significantly higher in the warmed plots, the temperature sensitivity (Q10) was 71.7% lower, pointing to a mechanistic shift. Even with reduced Q10, if observed soil respiration rates persist in a warmer world, the feedback to future climate could be considerably greater than previously predicted or observed.
","language":"English","publisher":"Nature Portfolio","doi":"10.1038/s41467-025-62065-6","usgsCitation":"Wood, T.E., Tucker, C., Alonso-Rodríguez, A.M., Loza, M.I., Grullón-Penkova, I.F., Cavaleri, M.A., O'Connell, C.S., and Reed, S.C., 2025, Warming induces unexpectedly high soil respiration in a wet tropical forest: Nature Communications, v. 16, 8222, 9 p., https://doi.org/10.1038/s41467-025-62065-6.","productDescription":"8222, 9 p.","ipdsId":"IP-117238","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496418,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-62065-6","text":"Publisher Index Page"},{"id":496399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.33248602902812,\n 18.57253360250462\n ],\n [\n -67.33248602902812,\n 17.89902135327496\n ],\n [\n -65.21418202034315,\n 17.89902135327496\n ],\n [\n -65.21418202034315,\n 18.57253360250462\n ],\n [\n -67.33248602902812,\n 18.57253360250462\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Tana E.","contributorId":362002,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[{"id":86414,"text":"USDA Forest Service International Institute of Tropical Forestry, Río Piedras, Puerto Rico, 00926, USA","active":true,"usgs":false}],"preferred":false,"id":949799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Colin Lee 0000-0002-4539-7780","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":292579,"corporation":false,"usgs":false,"family":"Tucker","given":"Colin Lee","affiliations":[{"id":62942,"text":"U.S. Geological Survey, Southwest Biological Science Center, Moab, UT; US Forest Service, Northern Research Station, Houghton, MI","active":true,"usgs":false}],"preferred":false,"id":949800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alonso-Rodríguez, Aura M.","contributorId":362003,"corporation":false,"usgs":false,"family":"Alonso-Rodríguez","given":"Aura","middleInitial":"M.","affiliations":[{"id":86414,"text":"USDA Forest Service International Institute of Tropical Forestry, Río Piedras, Puerto Rico, 00926, USA","active":true,"usgs":false}],"preferred":false,"id":949801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loza, M. Isabel","contributorId":362004,"corporation":false,"usgs":false,"family":"Loza","given":"M.","middleInitial":"Isabel","affiliations":[{"id":86415,"text":"Center for Tree Science, Morton Arboretum, Lisle, IL 60532 USA","active":true,"usgs":false}],"preferred":false,"id":949802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grullón-Penkova, Iana F.","contributorId":362005,"corporation":false,"usgs":false,"family":"Grullón-Penkova","given":"Iana","middleInitial":"F.","affiliations":[{"id":86414,"text":"USDA Forest Service International Institute of Tropical Forestry, Río Piedras, Puerto Rico, 00926, USA","active":true,"usgs":false}],"preferred":false,"id":949804,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavaleri, Molly A.","contributorId":362006,"corporation":false,"usgs":false,"family":"Cavaleri","given":"Molly","middleInitial":"A.","affiliations":[{"id":86416,"text":"College of Forest Resources & Environmental Science, Michigan Technological University, Houghton, Michigan, 49931, USA","active":true,"usgs":false}],"preferred":false,"id":949805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Connell, Christine S.","contributorId":362007,"corporation":false,"usgs":false,"family":"O'Connell","given":"Christine","middleInitial":"S.","affiliations":[{"id":86417,"text":"Department of Environmental Studies, Macalester College, St. Paul, Minnesota, 55105, USA","active":true,"usgs":false}],"preferred":false,"id":949806,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":949807,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272995,"text":"70272995 - 2025 - Model‐based decomposition of spatially varying temporal shifts in seasonal streamflow across north temperate US rivers.","interactions":[],"lastModifiedDate":"2025-12-15T14:20:44.203219","indexId":"70272995","displayToPublicDate":"2025-09-16T07:54:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Model‐based decomposition of spatially varying temporal shifts in seasonal streamflow across north temperate US rivers.","docAbstract":"Anthropogenically forced climate shifts disrupt the seasonal behavior of climatic and hydrologic processes. The seasonality of streamflow has significant implications for the ecology of riverine ecosystems and for meeting societal demands for water resources. We develop a hierarchical Bayesian model of daily streamflow to quantify how the shape of annual hydrographs are changing and to evaluate temporal trends in model-based hydrologic indices related to flow timing and magnitude shifts. We apply this model to 1,112 gages across the Northern US over the years 1965–2022. We identify large-scale patterns in temporal changes to streamflow profiles that are consistent with regional changes in hydroclimate, including decreasing seasonal flow variability in the Pacific Northwest and increasing winter flows in the northeastern United States. Within these regions we also observe fine-scale heterogeneity in streamflow timing and magnitude shifts, both of which have potentially significant implications for riverine ecosystem function and the ecosystem services they provide.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024wr039500","usgsCitation":"Collins, K.M., Schliep, E.M., Wagner, T., and Wikle, C.K., 2025, Model‐based decomposition of spatially varying temporal shifts in seasonal streamflow across north temperate US rivers.: Water Resources Research, v. 61, no. 9, e2024WR039500, 18 p., https://doi.org/10.1029/2024wr039500.","productDescription":"e2024WR039500, 18 p.","ipdsId":"IP-168920","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497714,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039500","text":"Publisher Index Page"},{"id":497463,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"northern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.3458881096503,\n 49.29487267098142\n ],\n [\n -124.25341557040164,\n 42.38037865705249\n ],\n [\n -102.843031226844,\n 40.798858382917174\n ],\n [\n -102.32686478374309,\n 37.18541829571534\n ],\n [\n -93.79657291209023,\n 36.66945873456485\n ],\n [\n -90.39402222420446,\n 36.67882840785393\n ],\n [\n -82.35133965032877,\n 36.98587435527764\n ],\n [\n -75.04054116668894,\n 39.21009303966319\n ],\n [\n -68.1268180477979,\n 47.34769099450737\n ],\n [\n -80.2238519745004,\n 46.533866149748945\n ],\n [\n -91.9752488122572,\n 49.10266455472649\n ],\n [\n -125.3458881096503,\n 49.29487267098142\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Kevin M.","contributorId":363830,"corporation":false,"usgs":false,"family":"Collins","given":"Kevin","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schliep, Erin M.","contributorId":363831,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":952063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wikle, Christopher K.","contributorId":363836,"corporation":false,"usgs":false,"family":"Wikle","given":"Christopher","middleInitial":"K.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":952064,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265755,"text":"70265755 - 2025 - Utilizing downhole datasets for modelling the aeromagnetic signature of the Iron Creek Co-Cu deposit in the Idaho Cobalt Belt","interactions":[],"lastModifiedDate":"2026-02-04T17:10:06.353748","indexId":"70265755","displayToPublicDate":"2025-09-15T11:01:06","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Utilizing downhole datasets for modelling the aeromagnetic signature of the Iron Creek Co-Cu deposit in the Idaho Cobalt Belt","docAbstract":"The Idaho Cobalt Belt in east-central Idaho is host to some of the largest domestic Co resources, including the informal Iron Creek deposit. The two main ore zones of this deposit, the Iron Creek and the Ruby, are hosted in greenschist-grade interbedded argillite/siltstone and quartz-rich units of the Mesoproterozoic Apple Creek Formation of Lemhi Group. The primary ore mineral is cobalt-bearing pyrite, which occurs with pyrrhotite, chalcopyrite, and magnetite. This study integrates mineralogical and core-scale geophysical measurements with regional-scale aeromagnetic surveys. The high magnetite content within the Ruby zone produces elevated magnetic susceptibility, but the relatively limited spatial footprint of the ore zone would produce a small-scale anomaly that may be overlooked in regional surveys. The low magnetite content in the Iron Creek zone results in low magnetic susceptibility, creating a relatively low amplitude geophysical response. By characterizing the magnetic properties and mineralogy of these ore zones, this study enhances the interpretation of aeromagnetic data, enabling the identification of small or faint anomalies as potential Co targets. These findings improve can improve exploration strategies, both within the Idaho Cobalt Belt as well as for similar deposit types globally.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Schmidt, D., Phelps, G., Pfaff, K.I., and Monecke, T., 2025, Utilizing downhole datasets for modelling the aeromagnetic signature of the Iron Creek Co-Cu deposit in the Idaho Cobalt Belt, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 955-958.","productDescription":"4 p.","startPage":"955","endPage":"958","ipdsId":"IP-176598","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":484558,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://e-sga.org/home"},{"id":499516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Daniel","contributorId":353374,"corporation":false,"usgs":false,"family":"Schmidt","given":"Daniel","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":933423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":933424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfaff, Katharina I. 0000-0002-6605-2722","orcid":"https://orcid.org/0000-0002-6605-2722","contributorId":362430,"corporation":false,"usgs":true,"family":"Pfaff","given":"Katharina","middleInitial":"I.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":933425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monecke, Thomas","contributorId":50423,"corporation":false,"usgs":true,"family":"Monecke","given":"Thomas","affiliations":[],"preferred":false,"id":933426,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267778,"text":"70267778 - 2025 - Fingerprinting magmatic REE deposit sources with zircon petrochronology","interactions":[],"lastModifiedDate":"2026-01-20T15:25:25.027285","indexId":"70267778","displayToPublicDate":"2025-09-15T10:57:23","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Fingerprinting magmatic REE deposit sources with zircon petrochronology","docAbstract":"Carbonatites and associated alkaline silicate rocks are of considerable economic interest due to their enrichments in rare earth elements. The petrogenesis and source(s) of these complexes, however, are poorly understood. Models propose either mantle plume-derived carbon-rich melts or a mantle source enriched by subduction-related metasomatism. We use zircon trace elements to fingerprint carbonatite-alkaline complex sources, focusing on the economically significant 1.4 Ga Mountain Pass intrusive suite (MPIS). Autocrystic zircon from MPIS alkaline silicate rocks are enriched in Th and U relative to Nb suggesting a subduction influenced, oxidized source region. Lower Sc/Yb, higher Ti concentrations, and the absence of Eu anomalies in autocrystic zircon suggest derivation from a less hydrous, hotter, and deeper mantle source relative to arc-related 1.8–1.6 Ga inherited zircon. These data are best explained by syn- to post-collisional Mesoproterozoic reactivation of a subduction-metasomatized mantle source. The source and tectonic setting of the MPIS contrasts with Mesoproterozoic Gifford Creek and Bayan Obo carbonatites which exhibit plume-like compositions and are associated with rifts, suggesting different sources and tectonic settings for these economically significant deposits. We demonstrate that zircon petrochronology is a robust method for distinguishing carbonatite sources and can inform more targeted exploration strategies for critical mineral resources.","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society of Geology Applied to Mineral Deposits","usgsCitation":"Hillenbrand, I.W., Benson, E.K., Watts, K., and Thompson, J.M., 2025, Fingerprinting magmatic REE deposit sources with zircon petrochronology, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 647-650.","productDescription":"4 p.","startPage":"647","endPage":"650","ipdsId":"IP-175464","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":498749,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":498750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":938828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":938829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":938830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272741,"text":"70272741 - 2025 - Paleoproterozoic vein graphite mineralization caused by decarbonation in the Ruby Range, Montana, USA","interactions":[],"lastModifiedDate":"2025-12-08T17:01:10.120498","indexId":"70272741","displayToPublicDate":"2025-09-15T10:55:32","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Paleoproterozoic vein graphite mineralization caused by decarbonation in the Ruby Range, Montana, USA","docAbstract":"Hydrothermal graphite veins are a possible source for modern battery materials and require better understanding of their carbon source(s) and absolute timing to develop mapable criteria for exploration models. We present new observations of graphite vein and alteration paragenesis and U-Pb LA-ICP-MS titanite age data from the Ruby prospect, Montana, USA, that constrain mineralization timing and source. The graphite veins cut high-temperature metamorphic rocks of the lower Christensen Range suite and are associated with intense diopside (Di0.69Hd0.27Jo0.04) alteration of marble. The oldest titanite ages in fresh marble and partially altered calc-silicate gneiss are ca. 2,500 – 2,450 Ma, show elevated REE values, and Eu/Eu* <1.5, consistent with growth during early regional metamorphism. Titanite in diopside-graphite alteration, interpreted as part of the hydrothermal vein-forming episode, cluster around 1,750 Ma, are characterized by lower REE values, and show Eu/Eu* >2; suggesting a low fO2 fluid generated from metamorphism during the Big Sky orogeny. Our paragenetic observations and titanite ages indicate graphite vein formation via skarnoid decarbonation reactions in marble late in regional orogenesis. Granulite-facies, carbonate-bearing, supracrustal rock terranes are thus favorable for hydrothermal graphite vein deposits.
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","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Morgan, L.E., and Mercer, C.M., 2025, 40Ar/39Ar geochronology supporting mineral resources research at USGS Denver, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1150-1152.","productDescription":"3 p.","startPage":"1150","endPage":"1152","ipdsId":"IP-175512","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497151,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":497150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}