{"pageNumber":"5","pageRowStart":"100","pageSize":"25","recordCount":10445,"records":[{"id":70272187,"text":"70272187 - 2025 - Melt generation sources and conditions in the wake of a migrating slab window: Geochemistry and petrology of the million-year history of primitive volcanism at Clear Lake volcanic field, California","interactions":[],"lastModifiedDate":"2025-11-18T15:07:29.134486","indexId":"70272187","displayToPublicDate":"2025-09-01T07:59:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Melt generation sources and conditions in the wake of a migrating slab window: Geochemistry and petrology of the million-year history of primitive volcanism at Clear Lake volcanic field, California","docAbstract":"

Clear Lake volcanic field (CLVF) is the northernmost and youngest (~2.2 Ma to 8 ka) of the volcanic centers distributed along the San Andreas transform fault in western California. The initial phase of CLVF volcanism (interval one) occurred between ~2.2 and 1.3 Ma and extends ~35 km southeast of Clear Lake, forming a semi-continuous upland plateau capped by lava flows, with isolated volcanic remnants on the periphery. This volcanism is broadly characterized by geochemically primitive compositions that reflect three source compositions and conditions of melt generation. (1) Partial melting of upwelling asthenospheric mantle lherzolite at moderate pressures (1.2–1.4 GPa) and temperatures (1297–1329 °C) produced high-CaO (9.8–11.3 wt %) basalts with high Al2O3 (16.8–17.6 wt %), Mg#s (66–70), MgO (8–10 wt %), Ni (103–262 μg/g), and Cr (284–609 μg/g). These high-CaO basalts contain olivine (Fo87–91) phenocrysts with Cr-spinel inclusions ± subordinate plagioclase and crop out only in the southern part of the CLVF. (2) Partial melting of depleted sub-continental lithospheric mantle harzburgite at variable pressures (0.7–1.5 GPa) and temperatures (1097–1299 °C) produced a compositional continuum of med-K2O, calc-alkaline, high-MgO basalts through high-MgO andesites with high Mg#s (67–77), MgO (8–14 wt %) and high Ni and Cr abundances (154–439 and 340–1124 μg/g, respectively). Mineral assemblages are olivine (Fo88–93) with Cr-spinel inclusions ± subordinate clinopyroxene, orthopyroxene and plagioclase. Small (<2.5 cm) mantle harzburgite xenoliths and mantle olivine xenocrysts are also found in several of these samples. These high-MgO basalts through andesites represent the largest volume of primitive compositions and have erupted predominantly along the main, fault-controlled northwest-southeast trending axis of volcanism with peripheral outcrops to the north, west, and east. (3) Partial melting of the Gorda eclogite slab edge produced adakitic silicic slab melts with strong depletion in the heavy rare earth elements (Yb = 0.6 μg/g). Subsequent reaction of those melts with depleted ultramafic rocks during ascent imprinted the adakitic dacites with high Mg#s (65–78) and elevated Ni (117–210 μg/g) and Cr (191–283 μg/g). Phenocrysts of orthopyroxene (En87–94) with spinel inclusions (Cr# = 80–88) and extremely Ni-rich (9483 μg/g) olivine cores (Fo84–93) record those reactions. Small-volume outcrops of the adakites on the eastern periphery of the CLVF track the passing slab edge. The trio of melting sources recorded by early CLVF magmatism reflect the tectonically complex environment and the hot (1097–1329 °C), shallow (0.7–1.5 GPa) melting conditions for these primitive compositions and provide estimates of the heat delivered to the crust. Over time, this flux led to maturation of the CLVF magmatic system toward the more voluminous and silicic volcanism that characterizes the balance of its subsequent volcanic history and maintains the present-day anomalously high heat flow in the region. The current interval (interval four) of volcanic activity at CLVF is characterized by low-volume, fault-controlled eruptions of basaltic andesite and andesite suggestive of mantle magma and heat delivery to the crust, similar to interval one. This analogous activity provides motivation for the current study and begs the question of whether the system is undergoing thermal priming for renewed silicic volcanism.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egaf077","usgsCitation":"Blatter, D.L., and Burgess, S.D., 2025, Melt generation sources and conditions in the wake of a migrating slab window: Geochemistry and petrology of the million-year history of primitive volcanism at Clear Lake volcanic field, California: Journal of Petrology, v. 66, no. 9, egaf077, 43 p., https://doi.org/10.1093/petrology/egaf077.","productDescription":"egaf077, 43 p.","ipdsId":"IP-173749","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake volcanic field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.9635380144356,\n 39.14844575495471\n ],\n [\n -122.9635380144356,\n 38.917438489493804\n ],\n [\n -122.5731123436415,\n 38.917438489493804\n ],\n [\n -122.5731123436415,\n 39.14844575495471\n ],\n [\n -122.9635380144356,\n 39.14844575495471\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"66","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgess, Seth D. 0000-0002-2128-9144","orcid":"https://orcid.org/0000-0002-2128-9144","contributorId":362359,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70271905,"text":"70271905 - 2025 - A spatiotemporal deep learning approach for predicting daily air-water temperature signal coupling and identification of key watershed physical parameters in a montane watershed","interactions":[],"lastModifiedDate":"2025-09-24T15:03:35.249606","indexId":"70271905","displayToPublicDate":"2025-09-01T07:53:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A spatiotemporal deep learning approach for predicting daily air-water temperature signal coupling and identification of key watershed physical parameters in a montane watershed","docAbstract":"
Seasonal shifts from runoff to groundwater dominance influence daily headwater stream temperatures, especially where local groundwater input is strong. This input buffers temperature during hot periods, supporting cold-water habitats. Recent studies use air–water temperature signal metrics to identify zones of strong stream–groundwater connectivity. While Previous studies used air–water signal ratios as proxies for groundwater influence but were limited to specific sites and periods, without dynamic forecasting. This study is the first to forecast daily Ar as a spatiotemporal signal using a Graph Convolutional Network–Long Short-Term Memory (GCN-LSTM) model. The model was trained using hydroclimate data (air temperature, precipitation, shortwave radiation, streamflow) and watershed physical features (e.g., sand content, slope). Results showed high predictive skill, achieving R2 (NSE, RMSE) of 0.86 (0.73, 0.0004) for one-day-ahead to 0.52 (0.50, 0.0009) for seven-days ahead forecasts. Prior studies often have not explicitly incorporated spatial hydrogeologic drivers, but this model explicitly incorporates them to assess their impact on Ar forecasting and stream-groundwater connectivity. Feature analysis identified mean sand, elevation, slope, clay, and TWI as key predictors of Ar. Stronger groundwater signals appeared in hillslopes, elevations, and tributaries, highlighting watershed influence on streamflow. However, limitations include reliance on historical air–water temperature patterns for training and limited representation of extreme climate conditions. Despite these limitations, unlike previous studies relying on measured in-situ stream and air temperature, this study forecasts Ar directly from climate and physiographic features after training, avoiding in-situ data requirements. Findings aiding predictions of stream ecosystem resilience.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.134139","usgsCitation":"Behbahani, M.M., Rey, D., Briggs, M.A., and Bagtzoglou, A., 2025, A spatiotemporal deep learning approach for predicting daily air-water temperature signal coupling and identification of key watershed physical parameters in a montane watershed: Journal of Hydrology, v. 663, no. Part A, 134139, 19 p., https://doi.org/10.1016/j.jhydrol.2025.134139.","productDescription":"134139, 19 p.","ipdsId":"IP-179249","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Mountains, Neversink Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.69400801951441,\n 41.887423086620345\n ],\n [\n -74.69400801951441,\n 41.80926107332698\n ],\n [\n -74.6046721617594,\n 41.80926107332698\n ],\n [\n -74.6046721617594,\n 41.887423086620345\n ],\n [\n -74.69400801951441,\n 41.887423086620345\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"663","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Behbahani, Mohammad Reza M.","contributorId":361730,"corporation":false,"usgs":false,"family":"Behbahani","given":"Mohammad Reza","middleInitial":"M.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":949327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":949328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":210069,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":949329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios","contributorId":361732,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":949330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271410,"text":"70271410 - 2025 - Contribution of traffic emissions to PM2.5 concentrations at bus stops in Denver, Colorado","interactions":[],"lastModifiedDate":"2025-09-12T15:19:51.803063","indexId":"70271410","displayToPublicDate":"2025-08-27T08:09:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of traffic emissions to PM2.5 concentrations at bus stops in Denver, Colorado","docAbstract":"

Individuals are routinely exposed to traffic-related air pollution on their commutes, which has significant health impacts. Mitigating exposure to traffic-related pollution is a key urban sustainability concern. In Denver, Colorado, low-income Americans are more likely to rely on buses and spend time waiting at bus stops. Evaluating the contribution of traffic emissions at bus stops can provide important information on risks experienced by these populations. We measured PM2.5 constituents at eight bus stops and one background reference site in Denver, in the summer of 2023. Source profiles, including gasoline emissions from traffic, were estimated using Positive Matrix Factorization (PMF) analysis of PM2.5 constituents collected at a Chemical Speciation Network site in our study region. The contributions of the different sources at each bus stop were estimated by regressing the vector of species concentrations at each site (dependent variable) on the source-profile matrix from the PMF analysis (independent variables). Traffic-related emissions (~2.5–6.6 μg/m3) and secondary organics (~3–5 μg/m3) contributed to PM2.5 at the bus stops in our dataset. The highest traffic-related emissions-derived PM2.5 concentrations were observed at bus stops near local sources: a gas station and a car wash. The contribution of traffic-related emissions was lower at the background site (~1 μg/m3).

","language":"English","publisher":"MDPI","doi":"10.3390/su17177707","usgsCitation":"deSouza, P., Hopke, P., L'Orange, C., Ibsen, P.C., Green, C., Graeber, B., Cicione, B., Mekonnen, R., Purushothama, S., Kinney, P., and Volckens, J., 2025, Contribution of traffic emissions to PM2.5 concentrations at bus stops in Denver, Colorado: Sustainability, v. 17, no. 17, 7707, 14 p., https://doi.org/10.3390/su17177707.","productDescription":"7707, 14 p.","ipdsId":"IP-176935","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":495724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su17177707","text":"Publisher Index Page"},{"id":495442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.32990609528034,\n 39.95761559533625\n ],\n [\n -105.32990609528034,\n 39.506686432213314\n ],\n [\n -104.5591800032328,\n 39.506686432213314\n ],\n [\n -104.5591800032328,\n 39.95761559533625\n ],\n [\n -105.32990609528034,\n 39.95761559533625\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"17","noUsgsAuthors":false,"publicationDate":"2025-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"deSouza, Priyanka","contributorId":353306,"corporation":false,"usgs":false,"family":"deSouza","given":"Priyanka","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopke, Phillip","contributorId":361336,"corporation":false,"usgs":false,"family":"Hopke","given":"Phillip","affiliations":[{"id":12960,"text":"Clarkson University","active":true,"usgs":false}],"preferred":false,"id":948629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"L'Orange, Christian","contributorId":361337,"corporation":false,"usgs":false,"family":"L'Orange","given":"Christian","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":948630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":948631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Carl Jr.","contributorId":361338,"corporation":false,"usgs":false,"family":"Green","given":"Carl","suffix":"Jr.","affiliations":[{"id":86239,"text":"Denver Regional Transportation District","active":true,"usgs":false}],"preferred":false,"id":948632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graeber, Brady","contributorId":361326,"corporation":false,"usgs":false,"family":"Graeber","given":"Brady","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cicione, Brendan","contributorId":361327,"corporation":false,"usgs":false,"family":"Cicione","given":"Brendan","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mekonnen, Ruth","contributorId":361328,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Ruth","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948635,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Purushothama, Saadhana","contributorId":361329,"corporation":false,"usgs":false,"family":"Purushothama","given":"Saadhana","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948636,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kinney, Patrick","contributorId":353314,"corporation":false,"usgs":false,"family":"Kinney","given":"Patrick","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":948637,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Volckens, John","contributorId":361331,"corporation":false,"usgs":false,"family":"Volckens","given":"John","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":948638,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70270887,"text":"70270887 - 2025 - Revisiting an enigma on California's north coast: The Mw6.5 Fickle Hill earthquake of 21 December 1954","interactions":[],"lastModifiedDate":"2025-12-01T16:27:30.70546","indexId":"70270887","displayToPublicDate":"2025-08-19T08:16:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting an enigma on California's north coast: The Mw6.5 Fickle Hill earthquake of 21 December 1954","docAbstract":"

Many earthquakes occur along the North Coast of California in the vicinity of the Mendocino Triple Junction (MTJ), where the Pacific, Gorda, and North American (NA) plates meet, and on the adjacent plate boundaries. The MTJ marks the nexus of the Mendocino and San Andreas faults with the Cascadia subduction zone (CSZ). Historically, most large earthquakes around the MTJ have been within the offshore Gorda plate and its subducted portion beneath the NA plate. North of the MTJ, active faults mapped in the NA plate are part of the CSZ fold‐and‐thrust belt. Although some events have been detected in the NA plate, no large historic events have been associated with mapped surface faults. The 21 December 1954 Mw 6.5 earthquake in Humboldt County is one possible exception. Using published data from catalogs and articles, unpublished data from Berkeley’s archives, and S‐P times interpreted from two U.S. Coast and Geodetic Survey (USCGS) accelerometers, we determine a probability cloud for the earthquake’s hypocenter using NonLinLoc. The highest probability location lies beneath Fickle Hill just east of the city of Arcata, California, at 40.87° N, 124.03° W, and ∼11 km depth. Using P‐wave polarities from Berkeley stations and the digitized waveforms from the accelerometers, we find that the focal mechanism most consistent with the data indicates thrust movement with strike, dip, and rake of 350°, 10°, and 90°, respectively, at a depth of 14 km. Given the depth uncertainties of both this event and the megathrust, this implies that the earthquake most likely took place on the subduction interface rather than on the mapped faults in the Mad River fault zone that trend 322° and dip to the northeast. The revisited intensity in the epicentral region also supports a location beneath Fickle Hill to the east of the city of Arcata, California.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250080","usgsCitation":"Hellweg, M., Lee, T.A., Dreger, D.S., Lomax, A., Hagos, L., Haddabi, H., McPherson, R.C., Dengler, L., Hough, S.E., and Patton, J.R., 2025, Revisiting an enigma on California's north coast: The Mw6.5 Fickle Hill earthquake of 21 December 1954: Bulletin of the Seismological Society of America, v. 115, no. 6, p. 2623-2639, https://doi.org/10.1785/0120250080.","productDescription":"17 p.","startPage":"2623","endPage":"2639","ipdsId":"IP-177949","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":494901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.23082743259238,\n 46.45369999658712\n ],\n [\n -124.94108692827174,\n 41.87317683684783\n ],\n [\n -124.0036946792876,\n 37.27396300370703\n ],\n [\n -120.72594459506794,\n 33.05110616586563\n ],\n [\n -116.56731665360127,\n 33.7291335831041\n ],\n [\n -116.56731665360127,\n 46.45369999658712\n ],\n [\n -124.23082743259238,\n 46.45369999658712\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hellweg, Margaret","contributorId":360602,"corporation":false,"usgs":false,"family":"Hellweg","given":"Margaret","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":947294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Thomas A.","contributorId":360603,"corporation":false,"usgs":false,"family":"Lee","given":"Thomas","middleInitial":"A.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":947295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dreger, Douglas S.","contributorId":360605,"corporation":false,"usgs":false,"family":"Dreger","given":"Douglas","middleInitial":"S.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":947296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lomax, Anthony","contributorId":355480,"corporation":false,"usgs":false,"family":"Lomax","given":"Anthony","affiliations":[{"id":84757,"text":"ALomax Scientific, Mouans Sartoux, France","active":true,"usgs":false}],"preferred":false,"id":947297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagos, Lijam","contributorId":300811,"corporation":false,"usgs":false,"family":"Hagos","given":"Lijam","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":947298,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haddabi, Hamid","contributorId":360611,"corporation":false,"usgs":false,"family":"Haddabi","given":"Hamid","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":947299,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McPherson, Robert C.","contributorId":350346,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","middleInitial":"C.","affiliations":[{"id":83721,"text":"Cal Poly Humboldt Univ.","active":true,"usgs":false}],"preferred":false,"id":947300,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dengler, Lori","contributorId":197374,"corporation":false,"usgs":false,"family":"Dengler","given":"Lori","affiliations":[],"preferred":false,"id":947301,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":947302,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Patton, Jason R.","contributorId":317714,"corporation":false,"usgs":false,"family":"Patton","given":"Jason","email":"","middleInitial":"R.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":947334,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271129,"text":"70271129 - 2025 - Avian influenza spillover into poultry: Environmental influences and biosecurity protections","interactions":[],"lastModifiedDate":"2025-08-28T14:54:17.55377","indexId":"70271129","displayToPublicDate":"2025-08-19T07:47:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22340,"text":"One Health","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza spillover into poultry: Environmental influences and biosecurity protections","docAbstract":"With the continued spread of highly pathogenic avian influenza (HPAI), understanding the complex dynamics of virus transfer at the wild – agriculture interface is paramount. Spillover events (i.e., virus transfer from wild birds into poultry) are related to proximity to infected wild bird populations and environmental conditions. By accounting for such dynamics, we can take a combined approach to assess the impacts of biosecurity measures implemented at poultry farms while simultaneously accounting for their local risk levels. We implemented a Bayesian joint-likelihood logistic regression for the Continental U.S. comparing models of spatiotemporal risk according to land use, weather, and predicted waterfowl distributions followed by integrating a farm-level case-control questionnaire dataset focused on identifying trends in HPAI spillover risk associated with a farm's biosecurity practices. We found that estimates of waterfowl abundance, along with mean precipitation and temperature during winter, were most correlated with spatiotemporal HPAI risk. Additionally, we identified multiple biosecurity practices associated with reduced risk to HPAI, where the strongest relationships were related to litter decontamination treatments, vehicle wash stations, and avoiding shared dead-bird disposal sites with other farms. 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Management","active":true,"publicationSubtype":{"id":10}},"title":"RAD (Resist-Accept-Direct) switch points and triggers for adaptation planning","docAbstract":"

Climate change is transforming ecosystems globally. The Resist-Accept-Direct (RAD) framework has gained traction within many natural resource management institutions to help consider the decision space in response to this transformation. Because RAD helps manage for directional change, RAD choices entail considering which RAD pathway to implement and for how long. For example, one may accept a slowly changing ecosystem, but at a certain point, decide to begin resisting or directing the change an ecosystem is experiencing. Alternatively, one may begin resisting an ecosystem transformation, but ultimately realize resistance is no longer feasible based on cost or efficacy. These choices are challenging and encompass broad domains of cultural, ecological, financial, organizational, public, regulatory, and technological considerations to determine when to switch RAD pathways. We introduce the concepts of RAD switch points and triggers to help support these decision processes. We illustrate these concepts using case studies on walleye (Sander vitreus) stocking decisions in Wisconsin, wildfire response in the Greater Yellowstone Ecosystem, and bull trout (Salvelinus confluentus) management in Oregon, USA. Synthesizing across these examples, we delineate key points for decision makers as they (iteratively) reevaluate among the RAD pathways as conditions continue to change.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.126419","usgsCitation":"Lynch, A.J., Ashander, J., Ciocco, A., Cravens, A.E., Dassow, C.J., Dee, L.E., Dunham, J., Eaton, M.J., Embke, H., Hennessy, J., Latzka, A., Lawrence, D.J., Littell, J., Miller, B.W., Palasti, L., Runge, M., Sass, G., Shultz, A.D., Siegel, K., Svancara, L.K., Thompson, L., Thurman, L., Valler, J.B., Weiskopf, S.R., and Yocum, H.M., 2025, RAD (Resist-Accept-Direct) switch points and triggers for adaptation planning: Journal of Environmental Management, v. 392, 126419, 13 p., https://doi.org/10.1016/j.jenvman.2025.126419.","productDescription":"126419, 13 p.","ipdsId":"IP-165065","costCenters":[{"id":36940,"text":"National Climate Adaptation Science 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Understanding how water moves through a watershed is one of the most fundamental yet often complicated aspects of hydrology, especially in urban areas. Urban infrastructure and water management alter natural hydrological pathways in developed watersheds, which can violate assumptions of a watershed approach to ecosystem science. We focus on two aspects of urban landscapes that often create challenges to model watershed processes within and among urban areas: (1) accurate delineation of urban flow paths and (2) consistent characterisation of the urban landscape within and among cities. Here, we describe these challenges and identify how certain components of these challenges can be addressed, highlighting examples and lessons learned in a project that is assessing scales and drivers of variability in dissolved organic carbon across five urban centres in the United States. Our goal is to facilitate a dialogue that will advance the applications of watershed approaches in urban ecosystem science by recognising and addressing these challenges. Our examples focus on the United States but could be applicable to similar urban challenges in other locations globally.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70221","usgsCitation":"Hopkins, K.G., Hale, R., Capps, K., Kominoski, J., Morse, J., Roy, A.H., Blinn, A., Chen, S., Ortiz Muñoz, L., Quick, A., and Rudolph, J., 2025, Overcoming challenges in mapping hydrography and heterogeneity in urban landscapes: Hydrological Processes, v. 39, no. 8, e70221, 12 p., https://doi.org/10.1002/hyp.70221.","productDescription":"e70221, 12 p.","ipdsId":"IP-177098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":493953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Massachusetts, Utah","city":"Boston, Miami, Salt Lake City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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The influence of streamflow can be highly heterogeneous around lake edges, making it challenging to predict how benthic productivity in the littoral zone responds to hydroclimatic change. The degree to which streamflow affects nearshore productivity varies as a function of catchment characteristics, internal lake morphometry, and processes. This study investigates the relative influence of streamflow on nearshore metabolism (e.g., gross primary productivity [GPP], ecosystem respiration [ER], and net ecosystem productivity [NEP]) for shores with large, small, or no stream inflows (four locations across two shores) during two contrasting water years (one drought and one wet) in Lake Tahoe (Nevada/California, USA). Using Bayesian structural equation modeling, we found streamflow decreased water temperature, benthic light, and GPP across both years. Compared to the drought year, the subsequent wet year had 54% higher annual streamflow, 37% less light, and lower NEP at locations with large or small inflows (39% Δ −0.32 mmol O₂ m−3 d−1% and 49% Δ −1.19 mmol O₂ m−3 d−1, respectively). During the wet year, we observed a 68% increase in the negative association between streamflow and nearshore GPP at the large inflow and a 62% decrease in the positive association between streamflow and GPP at the small inflow. This work demonstrates how oligotrophic littoral productivity varies across shorelines and in response to hydrological conditions, with streamflow and precipitation exerting contrasting effects depending on the proximity to inflowing streams. Our results suggest future lake responses to climate volatility depend on spatial and temporal hydrologic connectivity to catchments and upland processes.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70157","usgsCitation":"Loria, K., Lowman, H., Krause, J., Katona, L.R., Naranjo, R.C., Scordo, F., Harpold, A., Chandra, S., and Blaszczak, J., 2025, The influence of mountain streamflow on nearshore ecosystem metabolism in a large, oligotrophic lake across a drought and a wet year: Limnology and Oceanography, v. 70, no. 9, p. 2645-2659, https://doi.org/10.1002/lno.70157.","productDescription":"15 p.","startPage":"2645","endPage":"2659","ipdsId":"IP-171346","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":493851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.22907288918867,\n 39.27733095987708\n ],\n [\n -120.22907288918867,\n 38.90788242474909\n ],\n [\n -119.85664507888565,\n 38.90788242474909\n ],\n [\n -119.85664507888565,\n 39.27733095987708\n ],\n [\n -120.22907288918867,\n 39.27733095987708\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Loria, Kelly 0000-0002-0067-0413","orcid":"https://orcid.org/0000-0002-0067-0413","contributorId":359371,"corporation":false,"usgs":false,"family":"Loria","given":"Kelly","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":945205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowman, Heili 0000-0002-2939-9225","orcid":"https://orcid.org/0000-0002-2939-9225","contributorId":359373,"corporation":false,"usgs":false,"family":"Lowman","given":"Heili","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":945206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Jasimine 0009-0002-2017-0229","orcid":"https://orcid.org/0009-0002-2017-0229","contributorId":359376,"corporation":false,"usgs":false,"family":"Krause","given":"Jasimine","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":945207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katona, Leon R. 0000-0001-5323-1871","orcid":"https://orcid.org/0000-0001-5323-1871","contributorId":331458,"corporation":false,"usgs":true,"family":"Katona","given":"Leon","email":"","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scordo, Facundo 0000-0001-6182-7368","orcid":"https://orcid.org/0000-0001-6182-7368","contributorId":359380,"corporation":false,"usgs":false,"family":"Scordo","given":"Facundo","affiliations":[{"id":85780,"text":"Universidad Nacional del Sur, Argentina","active":true,"usgs":false}],"preferred":false,"id":945210,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harpold, Adrian A. 0000-0002-2566-9574","orcid":"https://orcid.org/0000-0002-2566-9574","contributorId":353577,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian A.","affiliations":[{"id":84439,"text":"Dept. of Natural Resources and Environmental Science, Univ. of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":945211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandra, Sudeep 0000-0003-1724-5154","orcid":"https://orcid.org/0000-0003-1724-5154","contributorId":359381,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":945212,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":945213,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70270917,"text":"70270917 - 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Over 100 participants from diverse sectors convened to discuss operational applications leveraging SWOT's unprecedented water surface measurements. The meeting emphasized applied science efforts to enhance hydrology and oceanographic models. This summary highlights the breadth of operational and private-sector uses of SWOT data, emphasizing its potential to drive new innovations and deliver societal benefits, such as improved water resource management, flood prediction, and climate resilience.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038436","usgsCitation":"Srinivasan, M., Tsontos, V., Bonnema, M., Pena-Luque, S., de Amorim-Teixiera, A., Alexandre Abdalla Araujo, Beighley, E., Birkett, C., Chen, C., Croneborg-Jones, L., David, C., Desai, S., Dib, A., Doorn, B., Dudley, R., Fatima, B., Fenoglio, L., de Moraes Frasson, R., Gangodagamage, C., Granger, S., Houghton, I., Jacobs, G., Jayaluxmi, I., Le Traon, P., Nickles, C., Picot, N., Schumann, G., Tchonang, B., Torre Zaffaroni, P., Van Oevelen, P., Wang, J., and Wegiel, J., 2025, Launching into societal benefits from the Surface Water and Ocean Topography (SWOT) mission: Water Resources Research, v. 61, no. 8, e2024WR038436, 8 p., 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Water development and the proliferation of invasive riparian vegetation have led to widespread habitat loss and simplification of rivers in the western United States, contributing to the imperilment of native fishes. Here, we quantify channel narrowing and vegetation encroachment, which are conspicuous indicators of riverine habitat alteration, along ∼400 km of three dryland tributaries of the upper Colorado River. We conducted a comparative analysis of aerial photographs between the 1930s and 2010s/2020s time periods using visual interpretation and used Light Detection and Ranging (LiDAR) data along with Object-Based Image Analysis (OBIA) to quantify canopy cover of woody riparian species. All three rivers underwent substantial channel narrowing, coinciding with a general decrease in spring floods over time. However, the extent of narrowing varied among the rivers (78 %, 73 %, and 29 %) with greater narrowing corresponding to larger reductions in spring flows. In contrast, contemporary woody cover was similarly high among all three rivers (39 %, 41 %, and 36 %), and a woody vegetation analysis we conducted for one river indicated a substantial increase in vegetation along the active channel (4 %–74 %). These findings underscore a common pattern observed in rivers throughout the basin, where river channels often undergo narrowing and encroachment by invasive vegetation following dam construction and/or decreases in flows, ultimately leading to habitat simplification, with negative implications for native fishes and other riparian biota. Our findings also emphasize that, even in the presence of nonnative vegetation establishment, preserving or restoring large magnitude and long duration floods can help conserve diverse habitat in dryland rivers.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.126714","usgsCitation":"Miller, B.J., McKinstry, M.C., Wilcock, P.R., Macfarlane, W.W., Bassett, S., Budy, P., Pennock, C.A., 2025, Shrinking channels, growing threats: Habitat degradation from channel narrowing and invasive vegetation in three dryland rivers: Journal of Environmental Management, v. 392, 126714, 12 p., https://doi.org/10.1016/j.jenvman.2025.126714.","productDescription":"126714, 12 p.","ipdsId":"IP-180680","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.20458933342701,\n 37.628183776979654\n ],\n [\n -111.20458933342701,\n 36.4333212502403\n ],\n [\n -107.18146321534954,\n 36.4333212502403\n ],\n [\n -107.18146321534954,\n 37.628183776979654\n ],\n [\n -111.20458933342701,\n 37.628183776979654\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Benjamin J. 0009-0009-8097-0763","orcid":"https://orcid.org/0009-0009-8097-0763","contributorId":366731,"corporation":false,"usgs":false,"family":"Miller","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":956170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinstry, Mark C.","contributorId":366732,"corporation":false,"usgs":false,"family":"McKinstry","given":"Mark","middleInitial":"C.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":956171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcock, Peter R.","contributorId":366733,"corporation":false,"usgs":false,"family":"Wilcock","given":"Peter","middleInitial":"R.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":956172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macfarlane, William W.","contributorId":366734,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":956173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bassett, Steven 0000-0002-3826-3960","orcid":"https://orcid.org/0000-0002-3826-3960","contributorId":211628,"corporation":false,"usgs":false,"family":"Bassett","given":"Steven","affiliations":[{"id":38280,"text":"The Nature Conservancy, Minneapolis MN","active":true,"usgs":false}],"preferred":false,"id":956174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":956175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pennock, Casey A.","contributorId":366745,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey","middleInitial":"A.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":956176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273115,"text":"70273115 - 2025 - Variable partitioning of lithium in rhyolitic melt during decompression and ascent","interactions":[],"lastModifiedDate":"2025-12-16T15:54:26.382187","indexId":"70273115","displayToPublicDate":"2025-08-01T09:48:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Variable partitioning of lithium in rhyolitic melt during decompression and ascent","docAbstract":"

The partitioning behavior of Li in magmatic systems is increasingly being investigated due to the economic importance of Li in the transition to sustainable energy resources (e.g., batteries). However, at upper crustal pressures, it remains uncertain whether Li preferentially partitions into the vapor or liquid (brine) phase or remains in the silicate melt. This complicates our ability to determine where Li resides—silicate melt, minerals, or fluid phase—upon eruption, a crucial factor for understanding its postdepositional movement and concentration into a brine or volcano-sedimentary deposit. Here, we present a novel investigation into the behavior of Li within natural evolved melts during continuous magma decompression and ascent using melt embayments (open melt inclusions). Mineral-hosted melt embayments preserve records of the evolving composition of the exterior melt, including degassing pathways and ascent timescales, when paired with appropriate diffusion coefficients. Lithium concentration profiles were measured in quartz-hosted melt embayments from the rapidly quenched eruptive phases of five rhyolitic, caldera-forming eruptions to investigate the behavior of Li during magma decompression and ascent, where vapor partitioning and ascent dynamics were previously established by investigating H2O and CO2 profiles. We find that in four systems, embayments contain lower interior Li concentrations than the coerupted melt inclusions; the fifth system contains the same Li concentrations in embayments and melt inclusions. However, many of these embayments contain gradients, with 84% preserving Li enrichment near the melt-bubble interface, as compared to their interior concentration. We interpret these characteristics to represent two distinct stages of Li partitioning during magma decompression and ascent, in contrast to existing literature that proposes only one type of partitioning behavior. The first stage is interpreted as melt depletion of Li, likely driven by partitioning into an exsolved supercritical fluid phase, supported by the strong correlation between the extent of Li depletion and Cl concentration in the melt, as well as the decompression rate. This behavior then fundamentally shifts, where Li reenriches in the melt, postulated to be driven by the unmixing of the supercritical fluid phase at shallow pressures. For the one system that did not develop Li gradients through decompression, we attribute this to the lower values of Na and Cl in the melt, potentially inhibiting the partitioning of Li into a fluid phase. Importantly, the behavior of Li during decompression is not consistent within or between volcanic centers, highlighting the need for systematic experimental investigation in variable composition melts at pressures relevant to conduit dynamics. This knowledge would improve our ability to model Li profiles to understand magma decompression, and predict where Li resides (e.g., stored in volcanic glass, gas, or crystals) upon eruption prior to any later extraction.

","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5171","usgsCitation":"Myers, M., Spallanzani, R., Schwartz, D., Mercer, C.N., and Hosseini, B., 2025, Variable partitioning of lithium in rhyolitic melt during decompression and ascent: Economic Geology, v. 120, no. 5, p. 1191-1206, https://doi.org/10.5382/econgeo.5171.","productDescription":"16 p.","startPage":"1191","endPage":"1206","ipdsId":"IP-169836","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.5171","text":"Publisher Index Page"},{"id":497573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Madison 0000-0003-2271-4445","orcid":"https://orcid.org/0000-0003-2271-4445","contributorId":331812,"corporation":false,"usgs":false,"family":"Myers","given":"Madison","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":952376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spallanzani, Roberta","contributorId":364231,"corporation":false,"usgs":false,"family":"Spallanzani","given":"Roberta","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":952377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Darin","contributorId":364233,"corporation":false,"usgs":false,"family":"Schwartz","given":"Darin","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":952378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hosseini, Behnaz","contributorId":364237,"corporation":false,"usgs":false,"family":"Hosseini","given":"Behnaz","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":952380,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273379,"text":"70273379 - 2025 - Late Quaternary environmental change in eastern Beringia","interactions":[],"lastModifiedDate":"2026-01-09T16:24:21.439969","indexId":"70273379","displayToPublicDate":"2025-07-31T10:04:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary environmental change in eastern Beringia","docAbstract":"
Eastern Beringia (Alaska and western Yukon) is an extensive, high-latitude region of North America that remained largely unglaciated throughout the Quaternary. Consequently, its sedimentary deposits preserve long-term environmental records that have intrigued scientists for nearly a century. Recent advances in palaeoecological proxies and dating methods have proved critical in addressing long-standing questions about regional late Quaternary environmental change. At the same time, they have led to new and sometimes controversial hypotheses. This review covers recent discoveries and unresolved questions focused on the period 57,000–10,000 calendar years before C.E. 1950 (cal yr BP).
The middle Wisconsin interstadial (57,000–30,000 cal yr BP) was a period of relative warmth in eastern Beringia, compared with the late Wisconsin (30,000–14,000 cal yr BP). Early in the interstadial occasional Picea woodland was present amongst widespread shrub tundra. Palaeoecological, sedimentary and isotopic data indicate that climate was cooler and drier than the Holocene, with high rates of aeolian activity. Megafauna typically associated with the ‘mammoth steppe’ ecosystem (woolly mammoth [Mammuthus primigenius], horse [Equus] and steppe-bison [Bison priscus]) were present in some abundance.
The transition towards late Wisconsin cold-stage conditions (35,000–30,000 cal yr BP) coincided with the establishment of the Bering Land Bridge and featured expansion of spatially varied, herbaceous vegetation, sometimes associated with deep active layers. Sedimentary DNA (sedaDNA) and macrofossil evidence show vegetation was not a prairie-like grassland, and the term “steppe-tundra” is a better descriptor. Permafrost pore-ice isotopic (δ18O) records suggest a step change in one or more climate drivers ca. 30,000 cal yr BP, by which time steppe-tundra was established across eastern Beringia. It remains uncertain whether Picea survived cold-stage conditions within isolated refugia, or whether it recolonized from south of the Laurentide-Cordilleran ice sheets. Genetic data suggest that Picea probably survived in situ; however, there is no definitive fossil evidence to support this.
The end-Pleistocene transition from steppe-tundra to shrub tundra began ca. 15,000 cal yr BP and took place within decades at local scales. The expansion of woody taxa coincided with rising sea levels, reduced sea-ice extent and an abrupt shift in atmospheric circulation that enhanced precipitation. During this time, Earth's orbital configuration caused high early-summer temperatures and strong seasonality, creating growing conditions very different from today. The vegetation consisted of Salix and Betula shrub tundra with open areas of herbs and graminoids. During the deglacial warming trend, the Younger Dryas oscillation (12,800–11,700 cal yr BP) was variably expressed. It is generally evident in records affected by adjacent oceans but can be absent at sites in continental areas.
These past conditions and paleoenvironmental changes have implications for contemporary issues: hypotheses about Pleistocene mammalian extinction; sensitivity of eastern Beringia to major oceanic reorganizations and high-frequency climate variability; the nature of woody plant expansion with climate warming; grazing, hydroclimate and fire as controls over ecosystems; the efficacy of “Pleistocene rewilding” for carbon capture.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2025.109527","usgsCitation":"Monteath, A., Edwards, M., Froese, D., Anderson, L., Gaglioti, B., Cocker, S.L., Brigham-Grette, J., Wooller, M.J., Finney, B., and Abbott, M., 2025, Late Quaternary environmental change in eastern Beringia: Quaternary Science Reviews, v. 368, 109527, 29 p., https://doi.org/10.1016/j.quascirev.2025.109527.","productDescription":"109527, 29 p.","ipdsId":"IP-151578","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":498690,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2025.109527","text":"Publisher Index Page"},{"id":498509,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Beringia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -172.21469331920974,\n 71.5\n ],\n [\n -172.21469331920974,\n 57.43680396544087\n ],\n [\n -134.78471124536657,\n 57.43680396544087\n ],\n [\n -134.78471124536657,\n 71.5\n ],\n [\n -172.21469331920974,\n 71.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"368","noUsgsAuthors":false,"publicationDate":"2025-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Monteath, Alistair J.","contributorId":347675,"corporation":false,"usgs":false,"family":"Monteath","given":"Alistair J.","affiliations":[{"id":83201,"text":"4Department of Geography and Environment, University of Southampton, Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":953515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Mary E.","contributorId":103490,"corporation":false,"usgs":true,"family":"Edwards","given":"Mary E.","affiliations":[],"preferred":false,"id":953516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Froese, Duane","contributorId":184165,"corporation":false,"usgs":false,"family":"Froese","given":"Duane","affiliations":[],"preferred":false,"id":953517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":264358,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":953518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaglioti, Benjamin V.","contributorId":193129,"corporation":false,"usgs":false,"family":"Gaglioti","given":"Benjamin V.","affiliations":[],"preferred":false,"id":953519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cocker, Scott L.","contributorId":364961,"corporation":false,"usgs":false,"family":"Cocker","given":"Scott","middleInitial":"L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":953520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brigham-Grette, Julie","contributorId":364853,"corporation":false,"usgs":false,"family":"Brigham-Grette","given":"Julie","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wooller, Matthew J.","contributorId":192799,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":953522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":953523,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Abbott, Mark B.","contributorId":267772,"corporation":false,"usgs":false,"family":"Abbott","given":"Mark B.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":953524,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273066,"text":"70273066 - 2025 - Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array","interactions":[],"lastModifiedDate":"2025-12-12T16:25:26.929516","indexId":"70273066","displayToPublicDate":"2025-07-29T09:21:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22176,"text":"Environmental Research: Food Systems","active":true,"publicationSubtype":{"id":10}},"title":"Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array","docAbstract":"

Globally, agrivoltaics (AV) research has revealed how microclimates created by photovoltaic (PV) panels can be leveraged to promote reciprocal benefits for agricultural land use and PV energy generation. Yet, in regions of the United States where emissions reduction laws are likely to lead to greater PV development on croplands, empirical evaluation of such co-location remain under explored. Furthermore, the most common approach to AV in the United States is one that maximizes energy generation and secondarily accommodates for agricultural management, and the controls of crop production in facilities that employ such an approach are underrepresented in the AV literature. Here, we assessed the agronomic and physiological response of two vegetable crops (radish and radicchio) with different carbon allocation patterns (belowground and aboveground, respectively) in an energy focused AV facility during a fall growing season, in New York, United States. We found that a reduction in total irradiance (−24%) within the AV array decreased total biomass in both crop types (46% and 49%), with significant alterations to root-shoot ratios in radish. Reductions in total biomass were not a result of physiological acclimation, indicating that AV crops had similar photosynthetic capacity as control crops; however, the environmental constraints imposed by energy focused AV design (i.e. reduced irradiance) limited C uptake overall. Our findings highlight the need for novel management approaches (e.g. earlier planting of AV fall crops) to help overcome yield penalties incurred by energy focused AV designs.

","language":"English","publisher":"Purpose-Led Publishing","doi":"10.1088/2976-601x/adf075","usgsCitation":"Sturchio, M.A., Russell, D.F., Schmidt, J., Marschner, C., DiTomasso, A., Kim, J., and Grodsky, S.M., 2025, Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array: Environmental Research: Food Systems, v. 2, 035004, 12 p., https://doi.org/10.1088/2976-601x/adf075.","productDescription":"035004, 12 p.","ipdsId":"IP-178673","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2976-601x/adf075","text":"Publisher Index Page"},{"id":497480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"Coeymans","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.80802373764976,\n 42.47909671666136\n ],\n [\n -73.80802373764976,\n 42.467374096715446\n ],\n [\n -73.78867815813483,\n 42.467374096715446\n ],\n [\n -73.78867815813483,\n 42.47909671666136\n ],\n [\n -73.80802373764976,\n 42.47909671666136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Sturchio, Matthew A.","contributorId":364059,"corporation":false,"usgs":false,"family":"Sturchio","given":"Matthew","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Dana F.","contributorId":364061,"corporation":false,"usgs":false,"family":"Russell","given":"Dana","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Jasmine","contributorId":364064,"corporation":false,"usgs":false,"family":"Schmidt","given":"Jasmine","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marschner, Caroline","contributorId":364067,"corporation":false,"usgs":false,"family":"Marschner","given":"Caroline","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DiTomasso, Antonio","contributorId":364070,"corporation":false,"usgs":false,"family":"DiTomasso","given":"Antonio","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Jinwook","contributorId":53416,"corporation":false,"usgs":false,"family":"Kim","given":"Jinwook","email":"","affiliations":[],"preferred":false,"id":952204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952205,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269633,"text":"70269633 - 2025 - Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean","interactions":[],"lastModifiedDate":"2025-07-29T15:14:54.039975","indexId":"70269633","displayToPublicDate":"2025-07-28T09:58:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22153,"text":"Progress in Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean","docAbstract":"

The Arctic Ocean and terrestrial environment have recently been reported to be changing drastically, but it is unclear whether these changes are similar to natural variations in the past or how sudden and large the changes are compared to natural variations. This premise served as motivation to collect sediment cores during the summer of 2022 at four sites on the Canadian continental shelf and Alaskan upper continental slope to reconstruct changes in the marine and terrestrial environments to provide a comprehensive picture of the ocean environment during the preindustrial period before anthropogenic influences. We dated the sediments based on the 137Cs radioactivity of bulk sediments and the 14C concentrations of mollusk shells. The 137Cs radioactivity shows a distinct onset corresponding to 1950 Common Era (CE) and the most prominent peak corresponding to 1963 CE. Multiple peaks appeared above the most prominent one, coinciding with nuclear power plant accidents in 1986 and 2011. Inventories of excess 210Pb in all cores exceed the estimated supply of excess 210Pb from atmospheric deposition, likely due to the scavenging supply of excess 210Pb. By comparing 137Cs and radiocarbon conventional ages, we estimated the local radiocarbon reservoir age value of each site. Using these local radiocarbon reservoir age and the conventional ages of mollusk shell samples, we established the age-depth models by the Bayesian method. The optimal ΔR values were 598, 511, 65, and –60 years at the MT1, MT2, BC2, and BC2-2 sites, respectively. The cores consist of clayey silts continuously deposited with uniquely high sedimentation rates of 0.17 to 0.74 cm y−1. Variation in the Ca/Ti ratio indicates ~ 20, ~ 30, 50–60, 100–125, and 300-year cycles, likely attributed to the variation in the Aleutian Low that controls the Bering Strait inflow of Pacific waters influencing our core sites. These sediments will be used for further high-resolution, multi-proxy studies with forthcoming results.

","language":"English","publisher":"Springer","doi":"10.1186/s40645-025-00734-2","usgsCitation":"Yamamoto, M., Suzuki, K., Murayama, M., Gemery, L., Seike, K., Polyak, L., Joe, Y., Uchida, S., Kobayashi, M., Onodera, J., Horikawa, K., Yamamoto, Y., Omori, T., Kuwae, M., Irino, T., Watanabe, Y., Itoh, M., and Watanabe, E., 2025, Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean: Progress in Earth and Planetary Science, v. 12, 62, 26 p., https://doi.org/10.1186/s40645-025-00734-2.","productDescription":"62, 26 p.","ipdsId":"IP-174110","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":493325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40645-025-00734-2","text":"Publisher Index Page"},{"id":493110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"western Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -130,\n 74\n ],\n [\n -170,\n 74\n ],\n [\n -170,\n 64\n ],\n [\n -130,\n 64\n ],\n [\n -130,\n 74\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yamamoto, Masanobu 0000-0003-1312-825X","orcid":"https://orcid.org/0000-0003-1312-825X","contributorId":260119,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Masanobu","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":944233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suzuki, 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Takayuki","contributorId":288123,"corporation":false,"usgs":false,"family":"Omori","given":"Takayuki","email":"","affiliations":[],"preferred":false,"id":944229,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kuwae, Michinobu","contributorId":340182,"corporation":false,"usgs":false,"family":"Kuwae","given":"Michinobu","email":"","affiliations":[{"id":81497,"text":"Ehime University, Matsuyama, Japan","active":true,"usgs":false}],"preferred":false,"id":944230,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Irino, Tomohisa","contributorId":288122,"corporation":false,"usgs":false,"family":"Irino","given":"Tomohisa","email":"","affiliations":[],"preferred":false,"id":944231,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Watanabe, Yutaka","contributorId":358833,"corporation":false,"usgs":false,"family":"Watanabe","given":"Yutaka","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":944232,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Itoh, Motoyo","contributorId":358896,"corporation":false,"usgs":false,"family":"Itoh","given":"Motoyo","affiliations":[],"preferred":false,"id":944370,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Watanabe, Eiji","contributorId":358897,"corporation":false,"usgs":false,"family":"Watanabe","given":"Eiji","affiliations":[],"preferred":false,"id":944371,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70269681,"text":"70269681 - 2025 - Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","interactions":[],"lastModifiedDate":"2025-07-30T14:30:39.246941","indexId":"70269681","displayToPublicDate":"2025-07-28T09:25:18","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}},"displayTitle":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","title":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","docAbstract":"

While wild waterfowl are known reservoirs of avian influenza viruses and facilitate the movement of these viruses, there are notable differences in the response to infection across species. This study explored differential responses to infection with highly pathogenic avian influenza in Snow Geese (Anser caerulescens) located in the California Central Valley. Though H5 antibody prevalence was high across years among birds sampled in the winter (75% in both years via hemagglutination inhibition), these values were even higher among birds sampled in summer that failed to migrate (i.e., August 2023 = 100% and August 2024 = 93% via hemagglutination inhibition). Birds that failed to migrate were also generally lighter than birds sampled in the winter and presented notable damage to cerebrum and cerebellum. In December 2022, a single individual positive for infection with H5N1 at the time of sampling indicated reduced movement during the 14 days following sampling but completed spring migration comparably with uninfected conspecifics. However, while no birds were actively infected during sampling and marking in 2023, two marked geese departed for migration late and one did not migrate at all. Additional banded birds marked in August have been reencountered in scenarios ranging from hunter harvest at a different site over a year later to found dead shortly after banding. Our data indicate that Snow Geese infected with HPAI have the potential to express variable outcomes following infection with highly pathogenic H5N1, ranging from rapid recovery within a migratory season to death. These data also suggest that the abnormal failure of some Snow Geese to migrate from the Central Valley is likely driven by HPAI infection.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0328149","usgsCitation":"Sullivan, J.D., Casazza, M.L., Poulson, R., Matchett, E., Overton, C.T., Carpenter, M., Lorenz, A., McDuie, F., Derico, M., Howerth, E., Stallknecht, D., and Prosser, D., 2025, Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology: PLoS ONE, v. 20, no. 7, e0328149, 15 p., https://doi.org/10.1371/journal.pone.0328149.","productDescription":"e0328149, 15 p.","ipdsId":"IP-176525","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0328149","text":"Publisher Index Page"},{"id":493180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Delevan National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.1179602209491,\n 39.34364395946329\n ],\n [\n -122.1179602209491,\n 39.271203995112444\n ],\n [\n -122.07387656727536,\n 39.271203995112444\n ],\n [\n -122.07387656727536,\n 39.34364395946329\n ],\n [\n -122.1179602209491,\n 39.34364395946329\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Jeffery D. 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E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":944412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944413,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70269561,"text":"70269561 - 2025 - Proactive assisted gene flow for Caribbean corals in an era of rapid coral reef decline","interactions":[],"lastModifiedDate":"2025-07-28T14:51:25.048227","indexId":"70269561","displayToPublicDate":"2025-07-24T09:46:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Proactive assisted gene flow for Caribbean corals in an era of rapid coral reef decline","docAbstract":"

Coral reefs are one of the most well-documented marine ecosystems under increasing threat from climate change. Catastrophic episodes of coral bleaching and subsequent mortality caused by prolonged heat stress (1) highlight the need to test and implement new approaches to prevent species loss and retain ecosystem function (2). One of these approaches is assisted gene flow (AGF)—the managed movement of individuals or gametes between populations within species ranges to mitigate local maladaptation (3). AGF has recently been approved to help save elkhorn corals in Florida from local extirpation but faces challenges for its broader application owing to static regulatory frameworks whose precautionary nature does not readily account for the high cost of inaction in response to the dynamic ecological realities of climate change (4, 5). Here, we highlight how regulatory action could help safely facilitate coral AGF across international boundaries, at least in the tropical western Atlantic (Caribbean).

","language":"English","publisher":"AAAS","doi":"10.1126/science.adx5842","usgsCitation":"Baker, A.C., Baums, I.B., Davies, S., Grottoli, A., Kenkel, C., Kitchen, S., Kuffner, I.B., Matz, M., Miller, M., Muller, E.M., Parkinson, J., Prada, C., Shantz, A., van Hooidonk, R., and Winters, R., 2025, Proactive assisted gene flow for Caribbean corals in an era of rapid coral reef decline: Science, v. 389, no. 6758, p. 344-347, https://doi.org/10.1126/science.adx5842.","productDescription":"4 p.","startPage":"344","endPage":"347","ipdsId":"IP-172064","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Caribbean Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -59.023609071131716,\n 36.170908359280716\n ],\n [\n -110.51583921822171,\n 36.170908359280716\n ],\n [\n -110.51583921822171,\n 5.9554240007665555\n ],\n [\n -59.023609071131716,\n 5.9554240007665555\n ],\n [\n -59.023609071131716,\n 36.170908359280716\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"389","issue":"6758","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, Andrew C.","contributorId":297503,"corporation":false,"usgs":false,"family":"Baker","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":944057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baums, Iliana B. 0000-0001-6463-7308","orcid":"https://orcid.org/0000-0001-6463-7308","contributorId":190566,"corporation":false,"usgs":false,"family":"Baums","given":"Iliana","email":"","middleInitial":"B.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":944058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Sarah W.","contributorId":358655,"corporation":false,"usgs":false,"family":"Davies","given":"Sarah W.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":944059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grottoli, Andrea G.","contributorId":267953,"corporation":false,"usgs":false,"family":"Grottoli","given":"Andrea G.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":944060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenkel, Carly 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Manoa","active":true,"usgs":false}],"preferred":false,"id":944069,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"van Hooidonk, R.","contributorId":358674,"corporation":false,"usgs":false,"family":"van Hooidonk","given":"R.","affiliations":[{"id":85672,"text":"NOAA AOML","active":true,"usgs":false}],"preferred":false,"id":944070,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winters, R. Scott","contributorId":358675,"corporation":false,"usgs":false,"family":"Winters","given":"R. Scott","affiliations":[{"id":85673,"text":"Coral Restoration Foundation","active":true,"usgs":false}],"preferred":false,"id":944071,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70269547,"text":"70269547 - 2025 - The pre-maria geologic history of the Imbrium basin preserved by remnant highlands massifs","interactions":[],"lastModifiedDate":"2025-07-25T13:37:32.725623","indexId":"70269547","displayToPublicDate":"2025-07-24T08:32:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"The pre-maria geologic history of the Imbrium basin preserved by remnant highlands massifs","docAbstract":"

The Imbrium basin is one of the largest and youngest impact basins on the Moon. It has experienced multiple phases of volcanism that filled the basin with basaltic lavas, obscuring most evidence of geologic activity prior to the emplacement of mare basalts. Elevated basin ring massifs, however, can retain some of that history due to their higher topographic elevation compared to the maria. In this work, we use thermal infrared and radar data sets in conjunction with compositional data sets to establish the presence of external material that has been deposited on top of several remnant basin massifs of Imbrium. These massifs originally formed as part of the Imbrium basin ring structure, but their material properties indicate that they have since experienced modification from outside sources. In southwest Imbrium, we present evidence that Mons Vinogradov was mantled by rock-poor, glassy pyroclastic material prior to the deposition of Eratosthenian-era basalts immediately surrounding the mons. In northern Imbrium, we find that Montes Recti and Montes Teneriffe were not affected by pyroclastic volcanism but rather were mantled by rock- and glass-poor ejecta materials likely related to the Iridum basin impact. At Mons Piton in eastern Imbrium, we see weaker glass signatures than those found at Mons Vinogradov, which we suggest could be due to a thin layer of reworked or partially buried glassy pyroclastic material. These results indicate that basin ring massifs provide a mechanism for studying the geologic history of lunar impact basins.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008646","usgsCitation":"Byron, B., Elder, C., Pigue, L.M., and Williams, J., 2025, The pre-maria geologic history of the Imbrium basin preserved by remnant highlands massifs: JGR Planets, v. 130, no. 7, e2024JE008646, 19 p., https://doi.org/10.1029/2024JE008646.","productDescription":"e2024JE008646, 19 p.","ipdsId":"IP-160135","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":492901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Imbrium basin, Moon","volume":"130","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Byron, Ben D. 0000-0003-4435-0347","orcid":"https://orcid.org/0000-0003-4435-0347","contributorId":358634,"corporation":false,"usgs":false,"family":"Byron","given":"Ben D.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":944013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Catherine M. 0000-0002-9993-8861","orcid":"https://orcid.org/0000-0002-9993-8861","contributorId":358637,"corporation":false,"usgs":false,"family":"Elder","given":"Catherine M.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":944014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":944015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Jean-Pierre","contributorId":358640,"corporation":false,"usgs":false,"family":"Williams","given":"Jean-Pierre","affiliations":[{"id":85660,"text":"Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":944016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269972,"text":"70269972 - 2025 - Ecological acclimation: A framework to integrate fast and slow responses to climate change","interactions":[],"lastModifiedDate":"2025-08-07T14:10:13.028333","indexId":"70269972","displayToPublicDate":"2025-07-23T09:07:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological acclimation: A framework to integrate fast and slow responses to climate change","docAbstract":"
  1. Ecological responses to climate change occur across vastly different time-scales, from minutes for physiological plasticity to decades or centuries for community turnover and evolutionary adaptation. Accurately predicting the range of ecosystem trajectories will require models that incorporate both fast processes that may keep pace with climate change and slower ones likely to lag behind and generate disequilibrium dynamics. However, the knowledge necessary for this integration is currently fragmented across disciplines.
  2. We develop ‘ecological acclimation’ as a unifying framework to emphasize the similarity of dynamics driven by processes operating on dramatically different time-scales and levels of biological organization. The framework focuses on ecoclimate sensitivities, measured as the change in an ecological response variable per unit of climate change. Acclimation processes acting at different time-scales cause these sensitivities to shift in magnitude and even direction over time.
  3. We highlight shifting ecoclimate sensitivities in case studies from diverse ecosystems, including terrestrial plant communities, coral reefs and soil microbiomes.
  4. Models predicting future ecosystem states inevitably make assumptions about acclimation processes; these assumptions must be explicit for users to evaluate whether a model is appropriate for a given forecast horizon. Similarly, decision frameworks that clearly account for multiple acclimation processes and their distinct time-scales will help natural resource managers plan for ecological impacts of climate change from years to many decades into the future.
  5. We outline a synthetic research programme focused on the time-scales of ecological acclimation to reduce uncertainty in ecological forecasts.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70079","usgsCitation":"Stemkovski, M., Bernhardt, J., Wong Blonder, B., Bradford, J.B., Clark-Wolf, K., Dee, L.E., Evans, M., Iglesias, V., Johnson, L., Lynch, A.J., Malone, S., Osborne, B., Pastore, M., Paterson, M., Pinsky, M., Rollinson, C.R., Selmoni, O., Venkiteswarnan, J., Walker, A.P., Ward, N.K., Williams, J.B., Zarakas, C., and Adler, P., 2025, Ecological acclimation: A framework to integrate fast and slow responses to climate change: Functional Ecology, v. 39, no. 8, p. 1923-1939, https://doi.org/10.1111/1365-2435.70079.","productDescription":"17 p.","startPage":"1923","endPage":"1939","ipdsId":"IP-166855","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":493795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70079","text":"Publisher Index Page"},{"id":493703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Stemkovski, Michael","contributorId":303009,"corporation":false,"usgs":false,"family":"Stemkovski","given":"Michael","email":"","affiliations":[{"id":65599,"text":"Utah State University, Biology Dept.","active":true,"usgs":false}],"preferred":false,"id":945084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Joey","contributorId":359252,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Joey","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":945085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong Blonder, Benjamin","contributorId":359253,"corporation":false,"usgs":false,"family":"Wong 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0000-0003-0471-1371","orcid":"https://orcid.org/0000-0003-0471-1371","contributorId":213455,"corporation":false,"usgs":false,"family":"Dee","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":945089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Margaret","contributorId":359254,"corporation":false,"usgs":false,"family":"Evans","given":"Margaret","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":945090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iglesias, Virginia","contributorId":261651,"corporation":false,"usgs":false,"family":"Iglesias","given":"Virginia","email":"","affiliations":[],"preferred":false,"id":945091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Loretta","contributorId":359258,"corporation":false,"usgs":false,"family":"Johnson","given":"Loretta","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":945092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":945093,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Malone, Sparkle","contributorId":191999,"corporation":false,"usgs":false,"family":"Malone","given":"Sparkle","affiliations":[],"preferred":false,"id":945094,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Osborne, 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Malin","contributorId":191589,"corporation":false,"usgs":false,"family":"Pinsky","given":"Malin","email":"","affiliations":[],"preferred":false,"id":945098,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rollinson, Christine R.","contributorId":265918,"corporation":false,"usgs":false,"family":"Rollinson","given":"Christine","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":945099,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Selmoni, Oliver","contributorId":359266,"corporation":false,"usgs":false,"family":"Selmoni","given":"Oliver","affiliations":[{"id":30217,"text":"Carnegie Institution for Science","active":true,"usgs":false}],"preferred":false,"id":945100,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Venkiteswarnan, Jason","contributorId":359268,"corporation":false,"usgs":false,"family":"Venkiteswarnan","given":"Jason","affiliations":[{"id":41188,"text":"Wilfrid Laurier University","active":true,"usgs":false}],"preferred":false,"id":945101,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walker, Anthony P. 0000-0003-0557-5594","orcid":"https://orcid.org/0000-0003-0557-5594","contributorId":167843,"corporation":false,"usgs":false,"family":"Walker","given":"Anthony","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":945102,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ward, Nicole K.","contributorId":297294,"corporation":false,"usgs":false,"family":"Ward","given":"Nicole","email":"","middleInitial":"K.","affiliations":[{"id":64354,"text":"Virginia Tech, Department of Biological Sciences & Forest Resources & Environmental Conservation, Blacksburg, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":945103,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, John B.","contributorId":173055,"corporation":false,"usgs":false,"family":"Williams","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":945104,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Zarakas, Claire","contributorId":359273,"corporation":false,"usgs":false,"family":"Zarakas","given":"Claire","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":945105,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Adler, Peter B.","contributorId":338091,"corporation":false,"usgs":false,"family":"Adler","given":"Peter B.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":945106,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70271411,"text":"70271411 - 2025 - Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation","interactions":[],"lastModifiedDate":"2025-09-12T15:52:35.004585","indexId":"70271411","displayToPublicDate":"2025-07-23T08:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22351,"text":"Rangeland Ecology and Mangement","active":true,"publicationSubtype":{"id":10}},"title":"Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation","docAbstract":"

Protection of intact habitat from the spread of invasive plants is a global priority, especially where invaders alter wildfire occurrence. Invasion of perennial sagebrush-steppe ecosystems by cheatgrass and other fire-promoting exotic annual grasses (EAGs) is one of the most notorious examples of this problem. Protection and expansion of the remaining intact “core” sagebrush areas are key management goals, and whether this can be accomplished by temporarily inhibiting annual plant populations with pre-emergent herbicides is a key question. We applied indaziflam in fall 2019 to replicate plots within two sagebrush-steppe sites in the Northern Great Basin, USA: 1) a relatively intact, uninvaded, unburned “core” site and 2) a partially invaded site that burned in the 2015 Soda Wildfire. Vegetation cover, density, and growth responses of native perennials were measured annually to 2024. We asked whether our treatments “defended” and “grew” core sagebrush areas. EAG cover remained <15% in indaziflam-treated plots while increasing to >30% in control plots by the fifth year after treatment at the unburned site but did not differ with treatment at the burned site. Native perennial grasses, forbs, and big sagebrush cover and growth did not differ with indaziflam treatment at either site. Moss cover was temporarily lower in indaziflam-treated plots at the unburned site, and cover of a native annual forb was significantly lower in indaziflam-treated plots throughout the study across both sites. Despite posttreatment drought and apparent patchiness in treatment implementation, our treatments “defended the core” by preventing crossing of the 20% EAG invasion threshold in the unburned site but not did not “grow the core.” Our results provide an example of a case in which proactive protection may be easier to accomplish than reactive restoration. Herbicide treatment effects may be sensitive to weather and application details. Implementation monitoring could help explain variability and improve success.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2025.06.006","usgsCitation":"Lazarus, B., and Germino, M., 2025, Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation: Rangeland Ecology and Mangement, v. 102, p. 153-159, https://doi.org/10.1016/j.rama.2025.06.006.","productDescription":"7 p.","startPage":"153","endPage":"159","ipdsId":"IP-174916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":495450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"southwest Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.0281637645661,\n 45.32440983273477\n ],\n [\n -117.0281637645661,\n 42.024317484614414\n ],\n [\n -115.45605431551574,\n 42.024317484614414\n ],\n [\n -115.45605431551574,\n 45.32440983273477\n ],\n [\n -117.0281637645661,\n 45.32440983273477\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"102","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":218016,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269509,"text":"70269509 - 2025 - Genetic structure of an expanding population of Humpback Chub in Grand Canyon","interactions":[],"lastModifiedDate":"2025-11-20T16:40:29.42034","indexId":"70269509","displayToPublicDate":"2025-07-22T09:45:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of an expanding population of Humpback Chub in Grand Canyon","docAbstract":"
Objective

Humpback Chub (HBC) Gila cypha in Grand Canyon declined in abundance and distribution over the latter part of the 20th century but have substantially increased in abundance and distribution over the past two decades. Although previous genetic work suggested that HBC in Grand Canyon belong to one genetic group, here we evaluate the genetic structure of HBC in Grand Canyon to determine whether relic populations in western Grand Canyon may have contributed unique variation to the recent population expansion or whether differences in behavior linked to migration in eastern Grand Canyon may promote assortative mating and heretofore unrecognized population structure.

Methods

Using fin clips collected from 167 individual HBC representing four sampling sites within Grand Canyon, we extracted DNA and developed data sets consisting of approximately 20,000 anonymous genomic loci. We quantified patterns of genetic diversity, and we accounted for outlier single-nucleotide polymorphisms to ensure that our interpretations of genetic patterns were not misled by adaptive processes and did not mask adaptively important genetic variation.

Results

Despite behavioral variation and the possibility that individuals with unique genetic variation survived in isolated warmwater sites within western Grand Canyon, HBC were not differentiated by sampling site or by differences in migratory behavior. Heterozygosity and nucleotide diversity were consistently high among sampling sites, and inbreeding coefficients were close to zero.

Conclusions

The HBC in Grand Canyon constitute a single genetic population. Our results do not preclude a genetic basis to migratory behavior, but our data suggest that this trait does not lead to assortative mating. Furthermore, while HBC may have survived in discontiguous warmwater refugia in western Grand Canyon during decades when the main stem was too cold for spawning, our data did not reveal any noticeable spatial variability in HBC genetics in the main stem after the recent HBC population expansion.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf060","usgsCitation":"Dzul, M.C., Massatti, R., Yackulic, C., Omana-Smith, E., and Young, K., 2025, Genetic structure of an expanding population of Humpback Chub in Grand Canyon: North American Journal of Fisheries Management, v. 45, no. 5, p. 929-940, https://doi.org/10.1093/najfmt/vqaf060.","productDescription":"12 p.","startPage":"929","endPage":"940","ipdsId":"IP-171606","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.66641305997359,\n 36.76380274306818\n ],\n [\n -114.02451595187244,\n 36.76380274306818\n ],\n [\n -114.02451595187244,\n 35.52466906523314\n ],\n [\n -111.66641305997359,\n 35.52466906523314\n ],\n [\n -111.66641305997359,\n 36.76380274306818\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":943922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Omana-Smith, Emily","contributorId":358543,"corporation":false,"usgs":false,"family":"Omana-Smith","given":"Emily","affiliations":[{"id":85649,"text":"National Park Service, Grand Canyon National Park, 1824 S. Thompson St., Flagstaff, AZ, 86001","active":true,"usgs":false}],"preferred":false,"id":943923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Kirk","contributorId":139191,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":943924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269707,"text":"70269707 - 2025 - Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions","interactions":[],"lastModifiedDate":"2025-07-30T15:06:19.598148","indexId":"70269707","displayToPublicDate":"2025-07-18T07:58:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22155,"text":"Smart Agricultural Technology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions","docAbstract":"

Cover crops play a critical role in providing agroecological services such as improving soil health, reducing erosion and nitrogen loss, and suppressing weeds, which are closely tied to their performance such as accumulated biomass. This study evaluated the Active Canopy Sensor (ACS) -214, an active proximal sensing device equipped with its own light-emitting red and near-infrared spectral reflectance sensors, a time-of-flight laser, and an ultrasonic sensor, for estimating winter cover crop biomass across 13 U.S. states from 2020 to 2024. We assessed 11 species from three functional groups – grasses (n = 797), legumes (n = 264), and brassicas (n = 181) – using Random Forest (RF) models and four cross-validation strategies. The ACS-214 showed moderate to strong prediction accuracy for grasses (R2 = 0.51 – 0.64) and legumes (R2 = 0.44 – 0.76), though performance declined in leave-one-region-out analyses (R2 = 0.06 – 0.46), indicating limited spatial generalizability. Brassica models had low prediction accuracy for all models (R2 < 0.30), likely due to flowering and patchy growth. Biomass prediction breakpoints were observed at ∼3000 kg ha−1 for legumes and ∼4000 kg ha−1 for grasses. We also evaluated the effectiveness of using ACS-214 data to train Sentinel-2 satellite imagery for estimating grass cover crop biomass using withheld, out of bag data from 2023 to 2024. Sentinel-2 RF models trained with ACS-214 data showed good agreement with field-sampled (R2 = 0.58 – 0.61) and ACS-214-estimated biomass (R2 = 0.70). While Sentinel-2 offers scalability, the ACS-214 enables finer-resolution biomass mapping and better accounts for within-field variability, making it an effective tool for localized management and monitoring. These findings support the integration of proximal and satellite sensing approaches to enhance cover crop biomass estimation and agroecological assessment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.atech.2025.101201","usgsCitation":"Jennewein, J., Davis, B., Seehaver-Eagan, S., Nicolette, J., Pittman, J., Hively, W.D., Goldsmith, A., Hidalgo, C., Reberg-Horton, C., and Mirsky, S., 2025, Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions: Smart Agricultural Technology, v. 12, 101201, 22 p., https://doi.org/10.1016/j.atech.2025.101201.","productDescription":"101201, 22 p.","ipdsId":"IP-179201","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":493304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atech.2025.101201","text":"Publisher Index Page"},{"id":493188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Indiana, Iowa, Kansas, Maryland, Missouri, North Carolina, Ohio, New Hampshire, Vermont, Virginia, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.92714553560637,\n 43.58854319693313\n ],\n [\n -95.89232587289348,\n 37.62183341552925\n ],\n [\n -89.95992461869106,\n 37.07043638610585\n ],\n [\n -88.56407871751861,\n 30.53924077937387\n ],\n [\n -87.95786849494071,\n 30.079081766107564\n ],\n [\n -79.28622937957765,\n 30.005749406912585\n ],\n [\n -71.27060896702632,\n 45.07860396784778\n ],\n [\n -86.55806437204849,\n 45.188229262227445\n ],\n [\n -91.6664764308591,\n 46.72848518852835\n ],\n [\n -96.92714553560637,\n 43.58854319693313\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":944485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Brian W. 0000-0003-0714-5133","orcid":"https://orcid.org/0000-0003-0714-5133","contributorId":358921,"corporation":false,"usgs":false,"family":"Davis","given":"Brian W.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":944486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seehaver-Eagan, S. 0009-0002-1048-9623","orcid":"https://orcid.org/0009-0002-1048-9623","contributorId":358924,"corporation":false,"usgs":false,"family":"Seehaver-Eagan","given":"S.","affiliations":[{"id":85715,"text":"North Carolina State University (NCSU)","active":true,"usgs":false}],"preferred":false,"id":944487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicolette, J. 0000-0002-8904-2391","orcid":"https://orcid.org/0000-0002-8904-2391","contributorId":358925,"corporation":false,"usgs":false,"family":"Nicolette","given":"J.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":944488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pittman, J.","contributorId":358926,"corporation":false,"usgs":false,"family":"Pittman","given":"J.","affiliations":[{"id":85718,"text":"BAER","active":true,"usgs":false}],"preferred":false,"id":944489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldsmith, Avi","contributorId":358927,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Avi","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":944491,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hidalgo, C. 0009-0007-2566-5198","orcid":"https://orcid.org/0009-0007-2566-5198","contributorId":358928,"corporation":false,"usgs":false,"family":"Hidalgo","given":"C.","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":944492,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reberg-Horton, C. 0000-0001-5002-106X","orcid":"https://orcid.org/0000-0001-5002-106X","contributorId":358929,"corporation":false,"usgs":false,"family":"Reberg-Horton","given":"C.","affiliations":[{"id":85719,"text":"NSCU","active":true,"usgs":false}],"preferred":false,"id":944493,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mirsky, S.B.","contributorId":357633,"corporation":false,"usgs":false,"family":"Mirsky","given":"S.B.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":944494,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70269418,"text":"70269418 - 2025 - Modeling current and future distribution of invasive tegu lizards along geopolitical boundaries in the contiguous United States: Implications for invasion threat","interactions":[],"lastModifiedDate":"2025-07-22T14:26:21.243293","indexId":"70269418","displayToPublicDate":"2025-07-16T09:20:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12584,"text":"Climate Change Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling current and future distribution of invasive tegu lizards along geopolitical boundaries in the contiguous United States: Implications for invasion threat","docAbstract":"

Historically, constrained temperature ranges limited the spread of invasive herpetofauna into temperate climates, but climate change is predicted to facilitate broader distributions. There are three species of tegu lizards native to South America and available in the pet trade that have a high risk of invasion and deleterious impacts to native ecosystems in the United States (US). There are four populations of the black and white tegu (Salvator merianae) in Florida and sightings as far north as North Carolina and west as California. Red tegus (S. rufescens) have been observed in Florida, and there is an established population of gold tegus (Tupinambis teguixin) in Florida. We updated previous distribution models for the contiguous United States (CONUS) that used occurrence points from their native range in South America to evaluate potential changes given current and future climate scenarios (+2 °C and +4 °C warming). Under current climate conditions, one or more tegu species have the potential to occupy most ecoregions in the CONUS. Under a + 4 °C warming scenario, suitable habitat increases by 11 % for S. merianae, 31 % for S. rufescens. The proportion of suitable habitat for T. teguixin was small under all scenarios, but increased from 0.0003 to 0.0017. For S. merianae, parts of Florida become less suitable, while suitability increases in this region for the other two species. Additionally, much of the western US is projected to be suitable for S. rufescens. Our case study underscores the potential for climate change to compound invasion threats that could outpace effective managerial responses.

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Center","active":true,"usgs":true}],"preferred":true,"id":943703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Currylow, Andrea F.","contributorId":336151,"corporation":false,"usgs":false,"family":"Currylow","given":"Andrea","email":"","middleInitial":"F.","affiliations":[{"id":27471,"text":"US Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":943705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269228,"text":"70269228 - 2025 - Evaluation of rapid DNA extraction methods to better enable point-of-use environmental DNA detection","interactions":[],"lastModifiedDate":"2025-07-17T14:21:33.35311","indexId":"70269228","displayToPublicDate":"2025-07-15T09:18:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of rapid DNA extraction methods to better enable point-of-use environmental DNA detection","docAbstract":"

Recent developments in molecular testing have created the opportunity for biologists and managers to detect environmental DNA (eDNA) of target species rapidly and without the requirement of a laboratory. These point-of-use protocols may be especially useful for early detection and rapid response for invasive species or surveillance for at-risk native species, where timely management decisions are critical. Point-of-use eDNA protocols also facilitate wider and less expensive implementation of eDNA methods. One of the key components to an effective point-of-use protocol is a rapid DNA extraction method. Several rapid extraction protocols are suitable for implementation in the field, but information regarding their relative effectiveness is lacking. We evaluated extraction efficiency of four DNA rapid extraction protocols using filters spiked with primary cultured grass carp (Ctenopharyngodon idella) gill cells. The extraction methods included two syringe-based column extractions, a lysis and extraction solution, and a divalent cation chelation resin (Chelex) extraction protocol alongside a laboratory-based control kit. We estimated DNA yield using a newly designed quantitative polymerase chain reaction (qPCR) assay targeting the grass carp nuclear genome. We evaluated two additional factors, filter type (mixed cellulose ester [MCE] and polyethersulfone [PES]) and background eDNA source (aquaculture or river). The lysis and extraction solution and Chelex extraction both had the highest overall yield, with MCE filters further increasing Chelex yield while the enzyme extraction yield was dependent on interaction with both filter and eDNA source. Our results indicate that rapid extraction protocols, such as solutions with short heating steps, are effective for DNA isolation and help to increase the overall accessibility of eDNA analyses.

","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70159","usgsCitation":"Kozaczek, M., Spear, S.F., Untiedt, T., Albosta, P., Jungbluth, C., Homola, J.J., Barnhart, E.P., and Merkes, C.M., 2025, Evaluation of rapid DNA extraction methods to better enable point-of-use environmental DNA detection: Environmental DNA, v. 7, no. 4, e70159, 11 p., https://doi.org/10.1002/edn3.70159.","productDescription":"e70159, 11 p.","ipdsId":"IP-171289","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":492509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70159","text":"Publisher Index Page"},{"id":492416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozaczek, Melisa E. 0009-0001-9159-2739","orcid":"https://orcid.org/0009-0001-9159-2739","contributorId":358215,"corporation":false,"usgs":false,"family":"Kozaczek","given":"Melisa E.","affiliations":[{"id":81824,"text":"Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":943247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Untiedt, Tyler J. 0009-0003-9366-2627","orcid":"https://orcid.org/0009-0003-9366-2627","contributorId":358216,"corporation":false,"usgs":false,"family":"Untiedt","given":"Tyler J.","affiliations":[{"id":81824,"text":"Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":943249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albosta, Paul","contributorId":342642,"corporation":false,"usgs":false,"family":"Albosta","given":"Paul","email":"","affiliations":[{"id":81904,"text":"University of Wisconsin – Stevens Point,","active":true,"usgs":false}],"preferred":false,"id":943250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jungbluth, Caden","contributorId":358218,"corporation":false,"usgs":false,"family":"Jungbluth","given":"Caden","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":943251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Homola, Jared J.","contributorId":264547,"corporation":false,"usgs":false,"family":"Homola","given":"Jared","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":943252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943253,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943254,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268880,"text":"70268880 - 2025 - Comparing year-class strength indices from longitudinal analysis of catch-at-age data with those from catch-curve regression: Application to Lake Huron lake trout","interactions":[],"lastModifiedDate":"2025-07-09T15:22:32.22606","indexId":"70268880","displayToPublicDate":"2025-07-07T08:17:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Comparing year-class strength indices from longitudinal analysis of catch-at-age data with those from catch-curve regression: Application to Lake Huron lake trout","docAbstract":"Fish year-class strength (YCS) has been estimated via longitudinal analysis of catch-at-age data and via catch-curve regression, but no study has compared the two approaches. The objective of this study was to compare YCS estimates derived from both approaches applied to catch-at-age data for the lake trout (Salvelinus namaycush) population in the main basin of Lake Huron, one of the Laurentian Great Lakes of North America. YCS was reconstructed for both hatchery-stocked and wild lake trout. Akaike information criterion (AIC) and Bayesian information criterion (BIC) were used to compare 14 linear mixed-effects models for longitudinal analysis of catch-at-age data, and three linear mixed-effects models for catch-curve regression. From the best models based on AIC or BIC comparisons, YCS estimates with year-class as a fixed effect were consistent with those estimated with year-class as a random effect. Patterns and trends in the YCS estimates were also the same or similar between the longitudinal analysis of catch-at-age data approach and the catch-curve regression approach, suggesting that both modeling approaches are applicable to a variety of fish populations. indicating that both approaches provide robust measures of YCS. Potential bias in using the approach of catch-curve regression could be caused by abrupt changes in adult mortality. It is also critical to recognize multiple recruitment origins for using the approach of longitudinal analysis of catch-at-age data.","language":"English","publisher":"MDPI","doi":"10.3390/fishes10070332","usgsCitation":"He, J.X., and Madenjian, C.P., 2025, Comparing year-class strength indices from longitudinal analysis of catch-at-age data with those from catch-curve regression: Application to Lake Huron lake trout: Fishes, v. 10, no. 7, 332, 15 p., https://doi.org/10.3390/fishes10070332.","productDescription":"332, 15 p.","ipdsId":"IP-180112","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes10070332","text":"Publisher Index Page"},{"id":491902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.81244272435032,\n 46.219483545610046\n ],\n [\n -84.45502123393308,\n 45.72128532835587\n ],\n [\n -83.53367997338103,\n 45.26517590645393\n ],\n [\n -83.41430066653513,\n 44.44170419606339\n ],\n [\n -84.10774211212554,\n 43.61709237133303\n ],\n [\n -83.62831234986241,\n 43.568154757819165\n ],\n [\n -82.8360145811905,\n 44.05230260646631\n ],\n [\n -82.51388267584665,\n 43.01830574568019\n ],\n [\n -81.70146487579785,\n 43.13447283374384\n ],\n [\n -81.19143655270658,\n 44.558403858438155\n ],\n [\n -81.968013163843,\n 45.696943546171696\n ],\n [\n -84.81244272435032,\n 46.219483545610046\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ji X.","contributorId":181528,"corporation":false,"usgs":false,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":942466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":942467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268872,"text":"70268872 - 2025 - Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species","interactions":[],"lastModifiedDate":"2025-07-09T15:23:24.011957","indexId":"70268872","displayToPublicDate":"2025-07-05T10:18:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species","docAbstract":"

Hawaii hosts one of Earth’s most unique and threatened avifaunas. Upslope migration of mosquito-vectored avian malaria on Kauaʻi (maximum elevation 1,598 m) has likely caused its rapid loss of avifaunal diversity; only 8 of 13 historic forest bird species remain. We update the status and trends of Kauaʻi forest bird populations since the original (1981) surveys using the latest (2023) survey data and distance sampling. We fit detection functions to species-specific count data and stratified estimates across the Interior (since 1981) and Exterior (since 2000) survey areas, and between low (900–1,100 m), medium (1,100–1,300 m) and high (> 1,300 m) elevation bands (since 2000). Log-linear trends of ʻakekeʻe (Loxops caeruleirostris), ʻanianiau (Magumma parva), ʻiʻiwi (Drepanis coccinea), and Kauaʻi ʻamakihi (Chlorodrepanis stejnegeri) steeply declined across the timeseries, with extinction of ʻakekeʻe and ʻiʻiwi expected before 2050. Undetected in 2023, ʻakikiki (Oreomystis bairdi) were excluded from analysis. ʻApapane (Himatione sanguinea), Kauaʻi ʻelepaio (Chasiempis sclateri), Chinese hwamei (Garrulax canorus), and white-rumped shama (Copsychus malabaricus) were stable overall. Northern cardinal (Cardinalis cardinalis) steadily declined, whereas Japanese bush warbler (Horornis diphone) and warbling white-eye (Zosterops japonicus) exponentially increased. Taxonomic and functional diversity did not vary greatly across our timeseries, while the proportion of introduced species in the Exterior increased from 34 to 59%. However, introduced species do not replace the losses of ecological functions from native species, whose populations are likely declining from avian malaria. Future monitoring can be used to evaluate forest bird population responses to mosquito suppression using the Incompatible Insect Technique.

","language":"English","publisher":"Springer","doi":"10.1007/s10531-025-03111-z","usgsCitation":"Hunt, N., Crampton, L.H., Winter, T., Alexander, J., Glib, R., and Camp, R.J., 2025, Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species: Biodiversity and Conservation, https://doi.org/10.1007/s10531-025-03111-z.","ipdsId":"IP-174147","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":492086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-025-03111-z","text":"Publisher Index Page"},{"id":491903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.71699717610605,\n 22.227931797804146\n ],\n [\n -159.71699717610605,\n 22.046986423712184\n ],\n [\n -159.4442920844603,\n 22.046986423712184\n ],\n [\n -159.4442920844603,\n 22.227931797804146\n ],\n [\n -159.71699717610605,\n 22.227931797804146\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":942446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":942447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winter, Tyler A","contributorId":357748,"corporation":false,"usgs":false,"family":"Winter","given":"Tyler A","affiliations":[{"id":85549,"text":"Pacific Cooperative Studies Unit, University of Hawai’i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":942448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Jack D","contributorId":357749,"corporation":false,"usgs":false,"family":"Alexander","given":"Jack D","affiliations":[{"id":85549,"text":"Pacific Cooperative Studies Unit, University of Hawai’i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":942449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glib, Roy","contributorId":357750,"corporation":false,"usgs":false,"family":"Glib","given":"Roy","affiliations":[{"id":27518,"text":"Colorado Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":942450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":942451,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}