The Outer California Borderland (OCB) is an active transform plate boundary offshore Southern California, where the relationship between faulting and submarine mass transport deposits (MTDs) remains poorly understood. Onshore paleoseismic data provide high-resolution earthquake records, whereas marine geophysical data capture longer-term histories. Offshore fault systems pose hazards to infrastructure and dense coastal populations, particularly when linked to submarine landslides. We present new high-resolution geophysical data set (cruise SR2303), including bathymetric and CHIRP sub-bottom data integrated with legacy seismic reflection data and chronostratigraphic constraints from ODP Site 1012 to examine Quaternary MTD recurrence and tectonic controls in the Cortes Basin, OCB. Bathymetry shows deformational features, including slide scarps and previously unmapped fault segments with evidence of Holocene activity. CHIRP profiles reveal 10 stacked MTDs in the East Cortes Basin and 8 in the West Cortes Basin, spanning ∼752 ka with an average recurrence of ∼83.6 ± 1 ka. Acoustic imaging shows 7 MTD intervals coinciding with fault offset increments and fault growth suggesting earthquake-triggered mass wasting. A strong association between MTD occurrences and sea-level extremes also supports glacio-eustatic contribution to slope failure. Stratigraphic correlations suggest quasi-synchronous MTDs across the eastern and western areas, likely triggered by larger eathquakes in the Quaternary. Although the identified MTDs occur relatively far from the Southern California coast, they still pose a potential tsunamigenic hazard requiring further assessment. Moreover, if linked to earthquakes along major strike-slip faults, for example, the Ferrelo fault, the MTDs may provide valuable proxies to constrain rupture scenarios and fault connectivity within the understudied OCB.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JB032100","usgsCitation":"Fabbrizzi, A., Maloney, J.M., Derosier, B.J., and Keith, B., 2026, Interplay between tectonics and submarine mass transport deposits in Cortes Basin: New high-resolution geophysics in the Outer California Borderland: JGR Solid Earth, v. 131, no. 2, e2025JB032100, 30 p., https://doi.org/10.1029/2025JB032100.","productDescription":"e2025JB032100, 30 p.","ipdsId":"IP-178847","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jb032100","text":"Publisher Index Page"},{"id":502163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cortes Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.25,\n 32.575\n ],\n [\n -119.25,\n 32.575\n ],\n [\n -119.25,\n 31.75\n ],\n [\n -118.25,\n 31.75\n ],\n [\n -118.25,\n 32.575\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Fabbrizzi, Andrea 0000-0003-3166-1015","orcid":"https://orcid.org/0000-0003-3166-1015","contributorId":369216,"corporation":false,"usgs":false,"family":"Fabbrizzi","given":"Andrea","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":958617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Jillian M. 0000-0001-8223-4676","orcid":"https://orcid.org/0000-0001-8223-4676","contributorId":261208,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":958618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derosier, Boe Jay 0000-0003-1517-4129","orcid":"https://orcid.org/0000-0003-1517-4129","contributorId":369217,"corporation":false,"usgs":true,"family":"Derosier","given":"Boe","middleInitial":"Jay","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":958619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Bradley","contributorId":369218,"corporation":false,"usgs":false,"family":"Keith","given":"Bradley","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":958620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273876,"text":"70273876 - 2026 - Migration water temperature and heat stress assessments in western Alaska Chinook salmon overlapping the 2019 heatwave","interactions":[],"lastModifiedDate":"2026-02-11T15:25:43.001543","indexId":"70273876","displayToPublicDate":"2026-02-04T09:17:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Migration water temperature and heat stress assessments in western Alaska Chinook salmon overlapping the 2019 heatwave","docAbstract":"Chinook salmon population declines span their geographic range with climate hypothesized as a major driver. Concerns of warming freshwater temperatures in their northern range gained urgency during 2019 when a heatwave coincided with premature mortality. This study examined heat stress during the 2019 heatwave compared to subsequent years and described water temperatures in western Alaska to understand the degree to which freshwater temperatures may be a stressor. Heat stress was prevalent among Chinook salmon captured in the 2019 heatwave (Kuskokwim tributaries: 90% in Kwethluk and 63% Takotna river), and variable in subsequent years (∼8% to 60% across Kuskokwim tributaries and Norton Sound rivers). A review of water temperature data indicated that potentially stressful temperatures (≥18 °C) were most common and prolonged in the Yukon River, moderately common and prolonged in the Kuskokwim River, and relatively rare in the Norton Sound region. Water temperatures in 2019 broke several records for overall maximum and frequency of temperatures ≥ 18 °C. Migration water temperatures and heat stress in northern Pacific salmon habitats vary more widely than previously recognized (up to 25 °C).
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0109","usgsCitation":"von Biela, V.R., Regish, A.M., McCormick, S.D., Spaeder, J., Whitworth, K., Leon, J., Gillikin, D., Liller, Z., Ivanoff, R., Bell, J., Larson, S.D., Carey, M.P., and Zimmerman, C.E., 2026, Migration water temperature and heat stress assessments in western Alaska Chinook salmon overlapping the 2019 heatwave: Canadian Journal of Fisheries and Aquatic Sciences, https://doi.org/10.1139/cjfas-2025-0109.","ipdsId":"IP-171279","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":499750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"western Alaska","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":955346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science 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Zachary","contributorId":290701,"corporation":false,"usgs":false,"family":"Liller","given":"Zachary","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":955353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ivanoff, Renae","contributorId":264889,"corporation":false,"usgs":false,"family":"Ivanoff","given":"Renae","affiliations":[{"id":54574,"text":"norton sound","active":true,"usgs":false}],"preferred":false,"id":955354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bell, Jenefer","contributorId":366145,"corporation":false,"usgs":false,"family":"Bell","given":"Jenefer","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":955355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larson, Sean D.","contributorId":366146,"corporation":false,"usgs":false,"family":"Larson","given":"Sean","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":955356,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":955357,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":955358,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70273695,"text":"sir20255098 - 2026 - Water-budget simulations for selected watersheds in Cameron County, Texas, 2022–23","interactions":[],"lastModifiedDate":"2026-02-11T18:58:23.302299","indexId":"sir20255098","displayToPublicDate":"2026-02-04T09:07:41","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered 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The models were used for estimating runoff and quantities of water diverted from the Rio Grande/Rio Bravo del Norte (hereinafter referred to as the “Rio Grande”) to maintain water-surface elevations in the canals and resacas (former distributary channels cut off from the main channel of the Rio Grande). Resacas provide habitat to aquatic species and help reduce the effects of flooding.
Because of the large size of the study area and diversity of hydrologic conditions, the study area was divided into 11 watersheds, and separate hydrologic models were developed for 9 of the watersheds. Six of the nine modeled watersheds are drained mostly by canals (canal watersheds), and three of the modeled watersheds drain to resacas (resaca watersheds). The Hydrological Simulation Program—FORTRAN was selected for modeling the study area watersheds because it is flexible in simulating a wide variety of watershed conditions.
The models were calibrated with streamflow data collected during 2022–23. The calibrated models were used to simulate water budgets (streamflow, evapotranspiration, water-storage volumes, and water diversions and withdrawals) during 2022–23. Model simulations showed that the resaca watersheds required more diversions from the Rio Grande and released less runoff than did the canal watersheds. Management practices maintaining resaca water levels constrained their runoff.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255098","issn":"2328-0328","collaboration":"Prepared in cooperation with the City of Brownsville, Texas","usgsCitation":"Ockerman, D.J., and Choi, N., 2026, Water-budget simulations for selected watersheds in Cameron County, Texas, 2022–23: U.S. Geological Survey Scientific Investigations Report 2025–5098, 37 p., https://doi.org/10.3133/sir20255098.","productDescription":"Report: viii, 37 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-167896","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":499763,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255098/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5098 HTML"},{"id":499608,"rank":6,"type":{"id":36,"text":"NGMDB Index 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Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"Understanding the local to regional history of extreme events such as debris flows and floods provides context to plan for and mitigate these hazards to life, property, and infrastructure. The Klamath Mountains of northwestern California have experienced both debris flows and devastating wildfires. Whiskeytown National Recreation Area (WHIS) is at the heart of this range and has a wealth of debris flow–related landforms. Gaining an understanding of prehistoric flows and their relationship with fire or other potential triggers can help mitigate future problems. Optically stimulated luminescence and radiocarbon analyses from sediment and entrained organics in undisturbed facies, including beneath partially buried boulders, establishes a chronology of paleo-events in WHIS. The levee deposits indicate a repetition of debris flows during the latest Holocene, every 125–150 years, since 850 yr. Larger flows occurred, with a record elucidated from debris-flow deposits along Clear Creek, with Middle Holocene ages, ca. 2600 to 5500 yr, most of which have sufficient concentrations of charcoal to indicate origins as postfire debris flows. Deposits at higher elevations show events from the latest Pleistocene ca. 13,000 yr. This geochronology indicates that these are not singular events but are relatively common and inherent to the geomorphic processes shaping this landscape.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2025.10064","usgsCitation":"Wood, J., Mahan, S.A., East, A.E., Bilderback, E., Krolczyk, E.T., Rasmussen, B.A., Zyatitsky, K.S., and Hallas, L.(., 2026, Geochronologic data reveal Late Pleistocene to Holocene debris-flow history and wildfire association within Whiskeytown National Recreation Area, Klamath Mountains, northern California: Quaternary Research, 21 p., https://doi.org/10.1017/qua.2025.10064.","productDescription":"21 p.","ipdsId":"IP-176240","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/qua.2025.10064","text":"Publisher Index Page"},{"id":499584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Klamath Mountains, Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.63689471598963,\n 40.6731703155468\n ],\n [\n -122.63689471598963,\n 40.56431461436682\n ],\n [\n -122.47862213398994,\n 40.56431461436682\n ],\n [\n -122.47862213398994,\n 40.6731703155468\n ],\n [\n -122.63689471598963,\n 40.6731703155468\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, John R. \"Jack\" 0000-0002-0270-6328","orcid":"https://orcid.org/0000-0002-0270-6328","contributorId":359808,"corporation":false,"usgs":false,"family":"Wood","given":"John R. \"Jack\"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":955111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":219600,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilderback, Eric Leland 0000-0002-2027-5699","orcid":"https://orcid.org/0000-0002-2027-5699","contributorId":349936,"corporation":false,"usgs":true,"family":"Bilderback","given":"Eric Leland","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":955114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krolczyk, Emma Taylor 0000-0002-7163-4348","orcid":"https://orcid.org/0000-0002-7163-4348","contributorId":291354,"corporation":false,"usgs":true,"family":"Krolczyk","given":"Emma","email":"","middleInitial":"Taylor","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rasmussen, Brian A.","contributorId":365987,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Brian","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":955116,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zyatitsky, Karina S.","contributorId":365988,"corporation":false,"usgs":false,"family":"Zyatitsky","given":"Karina","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":955117,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hallas, Leticia (Contractor) 0009-0004-4071-2456","orcid":"https://orcid.org/0009-0004-4071-2456","contributorId":359806,"corporation":false,"usgs":true,"family":"Hallas","given":"Leticia","middleInitial":"(Contractor)","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955118,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273882,"text":"70273882 - 2026 - Ensemble methods for history matching and uncertainty quantification with a watershed model","interactions":[],"lastModifiedDate":"2026-02-11T15:28:04.157861","indexId":"70273882","displayToPublicDate":"2026-02-04T08:23:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble methods for history matching and uncertainty quantification with a watershed model","docAbstract":"History matching of large hydrologic models is challenging due to data sparsity and non-unique process combinations (and associated parameters) that can produce similar model predictions. We develop an ensemble-based history matching (and uncertainty quantification) approach using an iterative ensemble smoother (iES) method for three cutouts of the National Hydrologic Model (NHM) and qualitatively compare the results and performance to the stepwise history matching approach. In the latter approach, subsets of parameters and observations were sequentially calibrated to a diverse range of observations to mitigate non-uniqueness and local minima. In iES, localization simulates the same causal connections between parameters and observations without the need (and computational cost) of sequential history matching steps. iES uses a weighted sum-of-squared-errors objective function which allows differential weighting of multiple data sources. Formal adoption of range observation also pushes results to within ranges of observation values rather than discrete values. Overall, the ensemble approach performs similarly to the stepwise approach. Both approaches performed poorly for the cutout representing a snowmelt-dominated watershed, indicating a structural issue in the process representation of the model. The main advantage of iES is quantification of uncertainty in both the history matching and the predictions of interest.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70086","usgsCitation":"Fienen, M., Long, A.J., Markovich, K.H., Haj, A.E., and Barker, M., 2026, Ensemble methods for history matching and uncertainty quantification with a watershed model: Journal of the American Water Resources Association, v. 62, no. 1, e70086, 18 p., https://doi.org/10.1111/1752-1688.70086.","productDescription":"e70086, 18 p.","ipdsId":"IP-181945","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":506136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70086","text":"Publisher Index Page"},{"id":499751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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world","interactions":[],"lastModifiedDate":"2026-03-23T14:47:40.529718","indexId":"70273852","displayToPublicDate":"2026-02-04T08:07:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23291,"text":"FEBS Letters","active":true,"publicationSubtype":{"id":10}},"title":"A fresh perspective - Advancing fish immunotoxicology in a complex world","docAbstract":"Understanding how environmental changes affect the health of organisms and ecosystems is complex, but recent interdisciplinary advances and the recognition of immune function as a dynamic mediator offer exciting progress. Environmental immunotoxicology in teleost fishes is evolving beyond cataloguing stressors towards a mechanistic, integrative framework that leverages omics, in vivo tracking and cross-disciplinary modelling. However, knowledge gaps in immune mechanisms, toxicokinetics and multi-stressor interactions remain. The present work highlights these gaps, advocating for immune function as both a mechanistic lens and an integrative health indicator. Such a framework can improve predictive risk assessments, management strategies and our understanding of contaminant effects on resilience, disease susceptibility and population viability. While challenges remain, the field is poised for significant growth through collaborative innovation and advancing technology.
","language":"English","publisher":"FEBS Press","doi":"10.1002/1873-3468.70296","usgsCitation":"Smith, C.R., Burattin, L., Iglesias, N.R., Sullivan, R., Rice, C.D., Segner, H., and Tort, L., 2026, A fresh perspective - Advancing fish immunotoxicology in a complex world: FEBS Letters, v. 600, no. 5, p. 572-590, https://doi.org/10.1002/1873-3468.70296.","productDescription":"19 p.","startPage":"572","endPage":"590","ipdsId":"IP-180147","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499675,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499935,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/1873-3468.70296","text":"Publisher Index Page"}],"volume":"600","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":true,"id":955256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burattin, Laura","contributorId":366092,"corporation":false,"usgs":false,"family":"Burattin","given":"Laura","affiliations":[{"id":66158,"text":"University of Namur","active":true,"usgs":false}],"preferred":false,"id":955257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iglesias, Nuria Ruiz","contributorId":366093,"corporation":false,"usgs":false,"family":"Iglesias","given":"Nuria","middleInitial":"Ruiz","affiliations":[{"id":87357,"text":"Autonomous University of Barcelona","active":true,"usgs":false}],"preferred":false,"id":955258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Roisin","contributorId":366094,"corporation":false,"usgs":false,"family":"Sullivan","given":"Roisin","affiliations":[{"id":84564,"text":"The University of Sydney","active":true,"usgs":false}],"preferred":false,"id":955259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Charles D.","contributorId":366095,"corporation":false,"usgs":false,"family":"Rice","given":"Charles","middleInitial":"D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":955260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Segner, Helmut","contributorId":366096,"corporation":false,"usgs":false,"family":"Segner","given":"Helmut","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":955261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tort, Lluis","contributorId":169142,"corporation":false,"usgs":false,"family":"Tort","given":"Lluis","email":"","affiliations":[],"preferred":false,"id":955262,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275340,"text":"70275340 - 2026 - Rupture into slow-slip fault regime during the 2018 Mw 6.9 Island of Hawaiʻi earthquake is followed by modest postseismic slip","interactions":[],"lastModifiedDate":"2026-06-02T15:28:19.704962","indexId":"70275340","displayToPublicDate":"2026-02-03T10:06:13","publicationYear":"2026","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}},"displayTitle":"Rupture into slow-slip fault regime during the 2018 Mw 6.9 Island of Hawaiʻi earthquake is followed by modest postseismic slip","title":"Rupture into slow-slip fault regime during the 2018 Mw 6.9 Island of Hawaiʻi earthquake is followed by modest postseismic slip","docAbstract":"On 4 May 2018, a Mw 6.9 earthquake occurred on the south flank of Kīlauea, in the midst of an historic event that included a voluminous eruption from Kīlauea’s lower East Rift zone and caldera collapse at its summit. The earthquake was a consequence of both short‐ and long‐term stress buildup due to magmatic activity associated with the eruption and steady flank motion, respectively, and it revealed features of Kīlauea’s décollement fault that can inform understanding of future earthquake activity. We used geodetic data to determine the distributions of slip during the coseismic and postseismic periods and compared these with areas of known fault slip during past earthquakes and slow‐slip events (SSEs). The 2018 earthquake ruptured into an area of the décollement fault that was active during quasi‐regular SSEs that occurred in the two decades prior to 2018 but that have not been observed since. The coseismic slip model indicates that the amount of motion on the décollement fault was several times greater than what typically occurred during SSEs, suggesting that it may take decades for the fault to rebuild stress to the point at which SSEs will occur again. Postseismic afterslip also occurred in an area of the fault known to experience slow slip; however, unlike at other creeping faults, postseismic afterslip was rapid, being largely over within 2–3 days. The rapid nature and small magnitude of the postseismic afterslip may be due to the lack of a viscoelastic relaxation component, which is possibly a result of the shallow dip of the décollement fault not transferring stress efficiently into the lower crust.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240222","usgsCitation":"Johanson, I.A., Montgomery-Brown, E.K., and Poland, M., 2026, Rupture into slow-slip fault regime during the 2018 Mw 6.9 Island of Hawaiʻi earthquake is followed by modest postseismic slip: Bulletin of the Seismological Society of America, v. 113, no. 3, p. 1023-1035, https://doi.org/10.1785/0120240222.","productDescription":"13 p.","startPage":"1023","endPage":"1035","ipdsId":"IP-169927","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":503676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.17989695699225,\n 19.908375170783174\n ],\n [\n -154.7062809263427,\n 19.908375170783174\n ],\n [\n -154.7062809263427,\n 18.965995638681747\n ],\n [\n -156.17989695699225,\n 18.965995638681747\n ],\n [\n -156.17989695699225,\n 19.908375170783174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":960624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":960625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":960626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273955,"text":"70273955 - 2026 - Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces","interactions":[],"lastModifiedDate":"2026-02-19T15:12:36.147521","indexId":"70273955","displayToPublicDate":"2026-02-03T09:07:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces","docAbstract":"Urban forests and other green infrastructures have been viewed as part of the “Nature-based Solutions” (NbS) to mitigate emerging urban environmental change. This study focuses on the role of evapotranspiration (ET) in regulating water balances of small watersheds in the eastern United States. We compared streamflow and ET patterns at daily, monthly and annual scales and linked these hydrological variables to the physical properties of 11 paired watersheds dominated by forests (FW) or urban (UW) land covers. The annual precipitation ranged from 1028 mm to 1683 mm and potential ET (PET) from 815 mm to 1450 mm. The mean annual flow/precipitation (Q/P) ratios were 0.26 ± 0.13 and 0.41 ± 0.1 for FW and UW, respectively. Overall, UW had lower annual ET (772 mm in UW vs. 947 mm in FW), but higher mean annual and (∼58% higher), monthly water yield (17%–186% higher), and peakflow rates (up to 100 times higher) than FW. The streamflow differences between FW and UW were most pronounced during the growing season and early winter (June-November). The mean Q/P ratios for 30 large hurricane events (2016–2021) were 0.12 ± 0.11 and 0.38 ± 0.23 for FW and UW, respectively. The flow rates in the dormant season (around December-May) in UW were similar or lower than FW. We developed conceptual models to explain the seasonal and storm event streamflow differences using background climate (PET), ET, and land surface characteristics. Urban NbS designs should factor in strategies that maximize ET while minimizing impervious surfaces enhancing watershed “sponge” and “pump” functions.
","language":"English","publisher":"American Geophysical Union (AGU)","doi":"10.1029/2025WR041340","usgsCitation":"Sun, G., Bian, Z., Khand, K., Caldwell, P.V., Boggs, J., Wang, C., Chen, Y., Liu, N., Zhang, Y., Chen, X., Senay, G., and McNulty, S.G., 2026, Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces: Water Resources Research, v. 62, no. 2, e2025WR041340, 20 p., https://doi.org/10.1029/2025WR041340.","productDescription":"e2025WR041340, 20 p.","ipdsId":"IP-185235","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":500255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041340","text":"Publisher Index Page"},{"id":500183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.13910817442056,\n 42.504366194491354\n ],\n [\n -96.89658092237323,\n 42.504366194491354\n ],\n [\n -96.89658092237323,\n 25.74722198798669\n ],\n [\n -68.13910817442056,\n 25.74722198798669\n ],\n [\n -68.13910817442056,\n 42.504366194491354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, G.","contributorId":205528,"corporation":false,"usgs":false,"family":"Sun","given":"G.","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":955905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bian, Z.","contributorId":366435,"corporation":false,"usgs":false,"family":"Bian","given":"Z.","affiliations":[{"id":78585,"text":"Nanjing Normal University","active":true,"usgs":false}],"preferred":false,"id":955906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khand, K.","contributorId":366436,"corporation":false,"usgs":false,"family":"Khand","given":"K.","affiliations":[{"id":87483,"text":"AFDS, contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":955907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, P. 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This chapter provides a comprehensive overview of mountain sheep migration and other movements across their broad distribution in western North America. Across the range of mountain sheep, migrations and other seasonal movements define a complex movement portfolio that relates to and supports all aspects of mountain sheep ecology. Bighorn and thinhorn species have examples of migratory behaviors that span the continuum between annual residents and long-distance migrants. Migratory behaviors can be characterized as low- or high-elevation residents; elevational migrations and other variants; and geographic migrants. Native populations that have been extant on the landscape without notable human intervention have greater migratory propensity and more diverse migratory portfolios due to the maintenance of migration through cultural learning and social transmission. Restored and augmented populations, where the population-level knowledge of migration has been lost or greatly reduced, are largely nonmigratory, although translocations show some ability to restore short-distance elevational migrations. Seasonal spring and fall migrations are less common in desert bighorn sheep (O. canadensis spp.) or bighorn sheep living in canyon or prairie breaks landscapes. Mineral lick visitation is important and common across the range of mountain sheep. Managing for migratory diversity can help to sustain migratory behavior in the face of climate change and other anthropogenic pressures, which can limit landscape connectivity between seasonal ranges or alter the spatiotemporal dynamics of regional phenology with cascading effects to other biotic and abiotic interactions such as the need to balance forage and predation risk or the spatial refugia with increased temperatures.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mountain sheep in North America: Biology, ecology, conservation, and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Lowrey, B., 2026, Seasonal migrations and other movements, chap. 11 of Mountain sheep in North America: Biology, ecology, conservation, and management, 17 p.","productDescription":"17 p.","ipdsId":"IP-182273","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501917,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/edit/10.1201/9781003518686-12/seasonal-migrations-movements-blake-lowrey?context=ubx&refId=699430e2-94b9-4407-90df-f7f736783dbe","linkFileType":{"id":5,"text":"html"}},{"id":501918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"editors":[{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":958488,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jex, Bill","contributorId":347327,"corporation":false,"usgs":false,"family":"Jex","given":"Bill","email":"","affiliations":[{"id":83135,"text":"British Columbia Ministry of Water, Land, and Resource Stewardship","active":true,"usgs":false}],"preferred":false,"id":958489,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lowrey, Blake 0000-0002-4994-2117","orcid":"https://orcid.org/0000-0002-4994-2117","contributorId":335494,"corporation":false,"usgs":true,"family":"Lowrey","given":"Blake","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":958409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275611,"text":"70275611 - 2026 - Geodetic investigations of the Europa Clipper mission","interactions":[],"lastModifiedDate":"2026-05-05T15:43:36.462444","indexId":"70275611","displayToPublicDate":"2026-02-03T08:36:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Geodetic investigations of the Europa Clipper mission","docAbstract":"The Europa Clipper mission will investigate the geophysical properties of Europa, one of Jupiter’s Galilean moons, to assess its habitability. Geodetic measurements will play a critical role in determining Europa’s internal structure, rotational state, and tidal deformation. The Geodesy Focus Group (GFG) coordinates cross-instrument efforts to measure Europa’s global shape, rotational parameters, gravity field, and degree-2 tidal Love numbers (k2 and h2). The data provided by the Gravity/Radio Science (G/RS) investigation, Europa Imaging System (EIS), Radar for Europa Assessment and Sounding (REASON), and Europa Ultraviolet Spectrometer (UVS) will be used to infer geodetic constraints on the interior structure and construct a precise cartographic reference system. This combined dataset will provide new constraints on Europa’s tidal response, ice shell thickness, and the properties of its subsurface ocean. The resulting geodetic information will contribute to a deeper understanding of Europa’s internal dynamics and the potential habitability of its ocean.
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\"}}]}","volume":"8","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourke, Brian P.","contributorId":335297,"corporation":false,"usgs":false,"family":"Bourke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Carolina F. 0000-0001-6303-5954","orcid":"https://orcid.org/0000-0001-6303-5954","contributorId":359793,"corporation":false,"usgs":false,"family":"Ferreira","given":"Carolina","middleInitial":"F.","affiliations":[{"id":85922,"text":"Department of Ecology and Conservation Biology, 2258 TAMU, Texas A&M University, College Station, TX 77843, USA","active":true,"usgs":false}],"preferred":false,"id":955331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ergunay, Koray","contributorId":335300,"corporation":false,"usgs":false,"family":"Ergunay","given":"Koray","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linton, Yvonne-Marie","contributorId":335301,"corporation":false,"usgs":false,"family":"Linton","given":"Yvonne-Marie","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":955335,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70276567,"text":"70276567 - 2026 - Statistical facilitation in environmental science: Integrating results from complementary statistical analyses can improve ecological interpretations","interactions":[],"lastModifiedDate":"2026-06-09T17:13:30.909925","indexId":"70276567","displayToPublicDate":"2026-02-02T10:09:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Statistical facilitation in environmental science: Integrating results from complementary statistical analyses can improve ecological interpretations","docAbstract":"Professionals working in biological conservation seek to understand, manage, and restore populations of native organisms using many techniques. A common approach for this discipline is using long-term data collections to inform decision making. However, several quantitative issues complicate statistical analysis of monitoring datasets and can reduce the utility of results for conservation decision making. Integrating results from multiple analyses applied to the same dataset (i.e., approaching the same biological problem using different techniques) is one way to address concerns related to field data that violate statistical assumptions. This process allows data analysts, researchers, and managers to assemble insights based on the weight of evidence. Here we tested whether three different statistical techniques [(1) multiple logistic regression on original data, (2) multiple logistic regression on standardized data (i.e., mean of 0 and standard deviation of 1), and (3) random forest analysis] identified a similar hierarchy for selecting natural and anthropogenic habitat regressors. Our examination of how environmental variables affected Plains Minnow (Hybognathus placitus), a state-threatened fish, is relevant to other taxa and locations. We gained useful information from redundancies (i.e., agreements across analyses). New directions also emerged by addressing ambiguities (i.e., disagreements among results across analyses). When multiple analyses were integrated into one ecological story, a clearer interpretation emerged. Viewing different statistical tests as facilitators that provide mutual advantages can advance the understanding and application of statistical analyses applied to non-experimental field datasets.
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\"}}]}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuck, Shelby","contributorId":372055,"corporation":false,"usgs":false,"family":"Kuck","given":"Shelby","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":962689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, Devon","contributorId":195899,"corporation":false,"usgs":false,"family":"Oliver","given":"Devon","affiliations":[],"preferred":false,"id":962690,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275336,"text":"70275336 - 2026 - Invasive grass influences on the fire cycle and treatment effectiveness to control their abundance in the Intermountain West, USA","interactions":[],"lastModifiedDate":"2026-04-29T14:57:10.701103","indexId":"70275336","displayToPublicDate":"2026-02-02T09:47:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Invasive grass influences on the fire cycle and treatment effectiveness to control their abundance in the Intermountain West, USA","docAbstract":"Many non-native invasive grass species increase wildfire activity and regenerate more quickly than native species. This invasive grass–fire cycle has severe negative consequences for ecosystems, creating a need to understand how different invasive grass species alter fuel characteristics and fire behavior, as well as effective treatments to control their abundance. To address these needs and increase fire and natural resource management preparedness, we performed a review and meta-analysis of recent (1985 to 2023) scientific literature. We focused on the Intermountain West, USA, where six dominant invasive grass species have already transformed ecosystems, including winter annuals—cheatgrass (Bromus tectorum L.), medusahead [Taeniatherum caput-medusae (L.) Nevski], red brome (Bromus rubens L.), and Mediterranean grass [Schismus arabicus Nees and Schismus barbatus (Loefl. ex L.) Thell]; and summer perennials—buffelgrass [Pennisetum ciliare (L.) Link] and Lehmann’s lovegrass (Eragrostis lehmanniana Nees). Within the 204 selected articles, B. tectorum was the most well-studied species, treatment effectiveness was the most common study type, and more studies addressed fuel accumulation than fire characteristics. While initial reductions in B. tectorum following wildfire were followed by large increases, P. ciliare initially increased and then steadily declined, and other invasive grass species had no significant post-fire changes over time. Chemical treatments were more effective than other treatments for B. tectorum, P. ciliare, and Schismus spp., although T. caput-medusae had a greater reduction with chemical treatments compared with the other species. In many cases, treatment effectiveness was enhanced when treatment types were combined or repeat treatments were conducted. Both B. tectorum and T. caput-medusae increased to pretreatment conditions within 3 and 5 yr, respectively, although there were no detectable trends for other species. Our results provide comprehensive comparisons of the effect of invasive grass species on fuel and fire characteristics and much needed insight on effective strategies for reducing invasive grass impacts to ecosystems.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/inp.2025.10037","usgsCitation":"Costanzo, S.A., and Munson, S.M., 2026, Invasive grass influences on the fire cycle and treatment effectiveness to control their abundance in the Intermountain West, USA: Invasive Plant Science and Management, v. 19, e9, 14 p., https://doi.org/10.1017/inp.2025.10037.","productDescription":"e9, 14 p.","ipdsId":"IP-180413","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/inp.2025.10037","text":"Publisher Index Page"},{"id":503623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Intermountain West","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.20191397759243,\n 25.799924192791465\n ],\n [\n -97.08570338392701,\n 27.71184091561038\n ],\n [\n -93.6302752119999,\n 29.556685714308273\n ],\n [\n -94.01839885426105,\n 33.569041394798376\n ],\n [\n -94.4114118449989,\n 33.722907975080744\n ],\n [\n -94.56895248066871,\n 39.022669330750915\n ],\n [\n -96.60465919702102,\n 42.569015980091905\n ],\n [\n -96.46212892791729,\n 43.6378822578892\n ],\n [\n -96.39391822590662,\n 45.338271212362\n ],\n [\n -96.94111957465111,\n 45.62766984448126\n ],\n [\n -96.61784261870793,\n 45.89323403476516\n ],\n [\n -97.17558648749741,\n 48.98246735485887\n ],\n [\n -123.26834630518886,\n 49.03338334571416\n ],\n [\n -123.46280430453601,\n 48.2115191006188\n ],\n [\n -125.1266932544844,\n 48.53825793050066\n ],\n [\n -124.90887642277227,\n 42.71034652981541\n ],\n [\n -124.72623919511037,\n 40.280134924916354\n ],\n [\n -123.58516086013148,\n 38.358363455906925\n ],\n [\n -120.78592614086082,\n 34.150701834353896\n ],\n [\n -117.4406932191169,\n 32.58728711854212\n ],\n [\n -115.08463551733962,\n 32.678820058860225\n ],\n [\n -111.14923026778985,\n 31.34744276818276\n ],\n [\n -108.16055723699336,\n 31.396141648927667\n ],\n [\n -108.25091900170565,\n 31.724764402083153\n ],\n [\n -106.45651564913305,\n 31.72778080722044\n ],\n [\n -105.01577159362975,\n 30.51681285637636\n ],\n [\n -104.44318555219559,\n 29.656464576953027\n ],\n [\n -103.27212932557126,\n 28.98357156768232\n ],\n [\n -102.61396155680703,\n 29.736542062482812\n ],\n [\n -101.46792278734301,\n 29.676484198018315\n ],\n [\n -100.83082980888662,\n 29.22404418236583\n ],\n [\n -100.11024209554432,\n 27.95860988681926\n ],\n [\n -99.63243163801059,\n 27.464923832621068\n ],\n [\n -99.13773657635741,\n 26.387140931185314\n ],\n [\n -97.20191397759243,\n 25.799924192791465\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Costanzo, Sarah A. 0000-0003-4137-1548","orcid":"https://orcid.org/0000-0003-4137-1548","contributorId":346108,"corporation":false,"usgs":true,"family":"Costanzo","given":"Sarah","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":960599,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274206,"text":"70274206 - 2026 - Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation","interactions":[],"lastModifiedDate":"2026-03-12T14:13:31.609824","indexId":"70274206","displayToPublicDate":"2026-02-02T09:08:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation","docAbstract":"The Fairbanks region of central Alaska is part of a broad zone of intraplate crustal deformation, situated north of the Denali fault and north of the ongoing collision and flat‐slab subduction of the Yakutat oceanic plateau. Seismicity in the Fairbanks region occurs both in diffuse areas as well as in well‐defined lineaments, such as the left‐lateral Salcha fault, which hosted the 1937 M8 7.3 earthquake. Starting with the regional seismicity catalog, we perform waveform cross‐correlation, network‐matched filtering, and relative relocation to obtain an enhanced seismicity catalog over the time period 2014–2024. Based on the relocated catalog, we interpret a set of 15 fault segments, including two conjugate faults and two new faults east of the previously documented fault system. Considering the combined seismicity in the Minto and Fairbanks regions, the median depth of seismicity decreases from east (6 km) to west (20 km). Our interpreted faults provide guidance for future tectonic modeling and assessment of seismic hazards in this region.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250342","usgsCitation":"Sims, N.E., Tape, C., Ruppert, N., and West, M.E., 2026, Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation: Seismological Research Letters, v. 97, no. 2A, p. 877-896, https://doi.org/10.1785/0220250342.","productDescription":"20 p.","startPage":"877","endPage":"896","ipdsId":"IP-184501","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250342","text":"Publisher Index Page"},{"id":500986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Fairbanks region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154,\n 66.5\n ],\n [\n -154,\n 63\n ],\n [\n -144,\n 63\n ],\n [\n -144,\n 66.5\n ],\n [\n -154,\n 66.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Sims, Nealey E.","contributorId":367184,"corporation":false,"usgs":false,"family":"Sims","given":"Nealey","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":956981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tape, Carl","contributorId":219960,"corporation":false,"usgs":false,"family":"Tape","given":"Carl","email":"","affiliations":[{"id":40098,"text":"Geophysical Institute, 2156 Koyukuk Drive, University of Alaska Fairbanks, Fairbanks, AK 99775","active":true,"usgs":false}],"preferred":false,"id":956982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Natalia A. 0000-0003-0589-1159","orcid":"https://orcid.org/0000-0003-0589-1159","contributorId":351514,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Michael E.","contributorId":367185,"corporation":false,"usgs":false,"family":"West","given":"Michael","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":956984,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273806,"text":"70273806 - 2026 - Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations","interactions":[],"lastModifiedDate":"2026-02-03T14:43:09.95163","indexId":"70273806","displayToPublicDate":"2026-02-02T08:37:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations","docAbstract":"In April 2020, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center introduced a Level 2 provisional Aquatic Reflectance (AR) product for the Landsat 8 Operational Land Imager (OLI), marking the initial phase in developing a standardized global product for Landsat-derived surface water measurements. The goal of USGS EROS aquatic product research and development is to prepare for an operational processing architecture for Landsat Collection 3 in the late 2020s that will enable use of quality-controlled data for emerging Landsat aquatic science applications. To achieve this, we released a subset of the Landsat 8/9 provisional AR products (Crawford et al., 2025, https://doi.org/10.5066/P14MBBRM) and examined its general performance through the Science Algorithms to Operations (SATO) framework alongside quantitative assessment using community made inland water data records (GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments, GLORIA) and radiometric coastal validation platforms (NASA’s Ocean Color component of the Aerosol Robotic Network, AERONET-OC). Variability within the validation datasets indicate that the performance of the Landsat 8/9 provisional AR retrieval is highly context-dependent; errors are minimal in optically simple waters (e.g., clear to moderately turbid coastal waters) but increase considerably in optically complex waters where factors such as elevated levels of turbidity, chlorophyll (Chl a) concentrations, or colored dissolved organic matter (CDOM) dominate the water column. Additionally, this paper examines key algorithmic considerations for atmospheric correction, highlighting factors that influence accuracy, scalability, and computational efficiency necessary for collection processing in the operational Landsat Product Generation System (LPGS). This paper is intended to communicate with aquatic scientists, satellite oceanographers, and the broader Earth observation community on the origins, requirements, challenges, successes, and future objectives for operationalizing global AR data products for Landsat satellite missions.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-2025-317","usgsCitation":"Benjamin Page, Crawford, C., Arab, S., Gail Schmidt, Barnes, C., and Wellington, D., 2026, Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations: Earth System Science Data, v. 18, no. 2, p. 779-800, https://doi.org/10.5194/essd-2025-317.","productDescription":"22 p.","startPage":"779","endPage":"800","ipdsId":"IP-170237","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin Page 0000-0002-9871-2406","orcid":"https://orcid.org/0000-0002-9871-2406","contributorId":359007,"corporation":false,"usgs":false,"family":"Benjamin Page","affiliations":[{"id":85733,"text":"Earth Space Technology Services (ESTS)","active":true,"usgs":false}],"preferred":false,"id":954888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":954889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arab, Saeed 0000-0003-1602-8801","orcid":"https://orcid.org/0000-0003-1602-8801","contributorId":299964,"corporation":false,"usgs":false,"family":"Arab","given":"Saeed","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":954890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gail Schmidt 0000-0002-9684-8158","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":359008,"corporation":false,"usgs":false,"family":"Gail Schmidt","affiliations":[{"id":57411,"text":"KBR, Inc.","active":true,"usgs":false}],"preferred":false,"id":954891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnes, Christopher 0000-0002-4608-4364","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":359949,"corporation":false,"usgs":false,"family":"Barnes","given":"Christopher","affiliations":[{"id":68993,"text":"KBR Inc., Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":954892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954893,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273992,"text":"70273992 - 2026 - Assimilation efficiency of rainbow trout fed natural diets","interactions":[],"lastModifiedDate":"2026-02-23T15:18:01.627278","indexId":"70273992","displayToPublicDate":"2026-02-02T08:14:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Assimilation efficiency of rainbow trout fed natural diets","docAbstract":"Assimilation efficiency is a critical assumption of stable isotope mixing models and bioenergetics models, yet few studies examine how assimilation efficiency influences modeling inferences. We conducted laboratory experiments to determine rainbow trout (Oncorhynchus mykiss) assimilation efficiencies. Assimilation efficiency averaged 55.8% (SE ± 0.90) and 64.5% (SE ± 1.98) at the 10% and 25% ration levels, respectively, and did not differ significantly. Caloric energy egested in feces was not significantly different between ration levels. Caloric energy excreted in ammonia and urea was significantly different between the ration levels, with a higher amount at the 25% ration level. Absorption efficiency was significantly greater at a higher ration level. Percent energy egested in feces was significantly greater at lower ration levels. Percent energy excreted as ammonia and urea was high compared to previous studies and did not differ significantly by ration level. Our estimates of assimilation efficiency of rainbow trout (56% and 65%) were lower than some previously reported estimates, and our estimates of energy losses (feces and ammonia) were higher than some previous estimates. As knowledge of species-specific assimilation efficiencies increases, our ability to draw strong inferences and improve the accuracy of model predictions will improve.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-026-01804-0","usgsCitation":"Flinders, J.M., Magoulick, D.D., 2026, Assimilation efficiency of rainbow trout fed natural diets: Environmental Biology of Fishes, v. 109, 40, 7 p., https://doi.org/10.1007/s10641-026-01804-0.","productDescription":"40, 7 p.","ipdsId":"IP-176944","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-026-01804-0","text":"Publisher Index Page"},{"id":500402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinders, Jon M.","contributorId":366527,"corporation":false,"usgs":false,"family":"Flinders","given":"Jon","middleInitial":"M.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":956030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956031,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274035,"text":"70274035 - 2026 - Foraging benefits promote fitness in migratory mule deer","interactions":[],"lastModifiedDate":"2026-02-20T15:20:10.864535","indexId":"70274035","displayToPublicDate":"2026-02-02T08:07:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"Foraging benefits promote fitness in migratory mule deer","docAbstract":"Although migration is widespread among ungulates, the fitness benefits associated with different migratory tactics have rarely been documented. Here, we evaluated a 9-year dataset on a migratory population of mule deer to test the hypothesis that long-distance migration provides access to seasonal forage which translates into demographic benefits. Mule deer that migrated long (>130 km) and medium distances (50–130 km) accessed higher forage quality and thus gained 1.3–2.7 times more fat over the growing season compared to mule deer that remained year-round as residents within a desert ecosystem. Elevated levels of fat translated to ∼20% higher probability of adult annual survival than residents. Mule deer that remained year-round in the desert portion of the study area were so resource-limited that they raised fawns at the expense of their own survival. Due to their higher levels of fat, annual survival, and fetal rates, migrants showed more robust population growth (λ = 1.03) compared to residents, which exhibited projected declines in population size over time (λ = 0.95). These results support the notion that migration translates into demographic benefits and highlight the urgent conservation work necessary to sustain diverse ungulate migrations amid habitat alteration due to climate change and an expanding web of linear barriers to movement.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cub.2025.12.030","usgsCitation":"Ortega, A.C., LaSharr, T.N., Burke, P.W., Lionberger, P., Valdez, M., Monteith, K.L., Kauffman, M.J., 2026, Foraging benefits promote fitness in migratory mule deer: Current Biology, v. 36, no. 3, p. 799-808, https://doi.org/10.1016/j.cub.2025.12.030.","productDescription":"16 p.","startPage":"799","endPage":"808","ipdsId":"IP-183817","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Red Desert, south-central Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.3710872029688,\n 43.1858103856338\n ],\n [\n -110.3710872029688,\n 42.046057654877615\n ],\n [\n -108.94810270575864,\n 42.046057654877615\n ],\n [\n -108.94810270575864,\n 43.1858103856338\n ],\n [\n -110.3710872029688,\n 43.1858103856338\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ortega, Anna C.","contributorId":366780,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaSharr, Tayler N.","contributorId":366781,"corporation":false,"usgs":false,"family":"LaSharr","given":"Tayler","middleInitial":"N.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":956233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Patrick W.","contributorId":366782,"corporation":false,"usgs":false,"family":"Burke","given":"Patrick","middleInitial":"W.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lionberger, Patrick","contributorId":337580,"corporation":false,"usgs":false,"family":"Lionberger","given":"Patrick","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":956235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdez, Miguel","contributorId":337582,"corporation":false,"usgs":false,"family":"Valdez","given":"Miguel","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":956236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monteith, Kevin L.","contributorId":366791,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","middleInitial":"L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":210786,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956238,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273899,"text":"70273899 - 2026 - New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States","interactions":[],"lastModifiedDate":"2026-02-12T15:12:38.190359","indexId":"70273899","displayToPublicDate":"2026-02-02T08:05:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States","docAbstract":"Climate change, expanding human ignitions, and increased fuels from fire exclusion are driving increases in area burned and fire severity in dry conifer forests of the western United States. Increasing area burned is occurring against the backdrop of a large fire deficit caused by over a century of fire exclusion. A key land management question is whether historically frequent fire regimes can be restored. Accurate estimates of historical annual area burned (prior to circa 1900) are necessary to evaluate modern area burned (after circa 1900), but are difficult to derive, and have rarely been calibrated or validated against modern fires, leaving their accuracy uncertain. We developed new methods to use tree-ring fire scars to reconstruct historical annual area burned and compare it to modern annual area burned. We focused on two southwestern US wilderness areas—Saguaro National Park (SAGU) and the Gila Wilderness (GILA)—that have a long history of using prescribed and managed fires. The abundant modern low- and moderate-severity fires allowed us to (1) calibrate and validate the fire-scar models against mapped fires to derive the first uncertainty estimates of reconstructed annual area burned and (2) test whether active fire management can help restore annual area burned to historical levels. A multi-model ensemble consisting of 10 individual member models accurately estimated area burned of mapped modern fires with no consistent biases. Each member model had distinct strengths and assumptions that made them suitable for specific applications (e.g., the synchrony model is easily applied, and Thiessen polygons provide spatially explicit area burned estimates). The accurate reconstruction of modern area burned from relatively sparse fire-scar data at GILA suggests that dense grids may not be necessary for accurate reconstructions. Our findings reveal that despite the near absence of fire in the early 20th century, both annual and 20-year sums of area burned in recent decades are back within historical levels at GILA, and trending toward historical levels at SAGU. These results demonstrate that fire management can help restore the historically prevalent, ecologically important process of widespread, frequent, low-to-moderate-severity fire in dry conifer forests.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70471","usgsCitation":"Farris, C.A., Margolis, E.Q., Iniguez, J., Falk, D., Gerow, K., Baisan, C., Allen, C., and Swetnam, T., 2026, New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States: Ecosphere, v. 17, no. 2, e70471, 29 p., https://doi.org/10.1002/ecs2.70471.","productDescription":"e70471, 29 p.","ipdsId":"IP-178352","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":499947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70471","text":"Publisher Index Page"},{"id":499800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","otherGeospatial":"Gila Wilderness, Saguaro National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.86590653888511,\n 33.756145710724184\n ],\n [\n -108.86590653888511,\n 32.727467884242714\n ],\n [\n -107.59931693774328,\n 32.727467884242714\n ],\n [\n -107.59931693774328,\n 33.756145710724184\n ],\n [\n -108.86590653888511,\n 33.756145710724184\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.76309644861847,\n 32.38160500186068\n ],\n [\n -110.76309644861847,\n 32.04323490904622\n ],\n [\n -110.3491545222334,\n 32.04323490904622\n ],\n [\n -110.3491545222334,\n 32.38160500186068\n ],\n [\n -110.76309644861847,\n 32.38160500186068\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Farris, Calvin A.","contributorId":292802,"corporation":false,"usgs":false,"family":"Farris","given":"Calvin","email":"","middleInitial":"A.","affiliations":[{"id":63015,"text":"National Park Service, Division of Fire and Aviation Management, P.O. Box 1713, Klamath Falls, OR 97601, USA","active":true,"usgs":false}],"preferred":false,"id":955686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":955687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iniguez, Jose","contributorId":298184,"corporation":false,"usgs":false,"family":"Iniguez","given":"Jose","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":955688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, D.A.","contributorId":179335,"corporation":false,"usgs":false,"family":"Falk","given":"D.A.","affiliations":[],"preferred":false,"id":955689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerow, K.","contributorId":171550,"corporation":false,"usgs":false,"family":"Gerow","given":"K.","email":"","affiliations":[],"preferred":false,"id":955690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baisan, C.H.","contributorId":366357,"corporation":false,"usgs":false,"family":"Baisan","given":"C.H.","affiliations":[{"id":48442,"text":"Univ of AZ","active":true,"usgs":false}],"preferred":false,"id":955691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, C.D.","contributorId":366358,"corporation":false,"usgs":false,"family":"Allen","given":"C.D.","affiliations":[{"id":82169,"text":"Univ of NM","active":true,"usgs":false}],"preferred":false,"id":955692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swetnam, T.W.","contributorId":179331,"corporation":false,"usgs":false,"family":"Swetnam","given":"T.W.","affiliations":[],"preferred":false,"id":955693,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273808,"text":"70273808 - 2026 - Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites","interactions":[],"lastModifiedDate":"2026-06-02T16:28:49.905185","indexId":"70273808","displayToPublicDate":"2026-02-02T07:53:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23286,"text":"Journal of Earthquake Engineering (JEE)","active":true,"publicationSubtype":{"id":10}},"title":"Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites","docAbstract":"Building on a previously developed bedrock dataset, this study extends the Azores Plateau ground motion simulations to include soil-amplified records and introduces a comprehensive validation framework. Soil amplification is modeled using one-dimensional soil profiles. A stochastic source-based approach is employed to generate the dataset, incorporating randomization of input-model parameters to account for the aleatory uncertainty in seismic activity. The accuracy of the dataset is verified through a comprehensive validation framework, showing that the randomization effectively captures variance and inter-period correlation observed in records. This work provides a robust dataset for advancing seismic hazard and risk assessment in the Azores Plateau.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/13632469.2026.2619832","usgsCitation":"Karimzadeh, S., Hussaini, S., Caicedo, D., Alexandra Carvalho, Rezaeian, S., and Lourenco, P.B., 2026, Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites: Journal of Earthquake Engineering (JEE), v. 30, no. 8, p. 1774-1802, https://doi.org/10.1080/13632469.2026.2619832.","productDescription":"29 p.","startPage":"1774","endPage":"1802","ipdsId":"IP-184242","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":499929,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/13632469.2026.2619832","text":"Publisher Index Page"},{"id":499438,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal","otherGeospatial":"central and eastern Azores islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -28.93285079773804,\n 39.26675694602011\n ],\n [\n -28.93285079773804,\n 38.11219810967543\n ],\n [\n -26.93875496541213,\n 38.11219810967543\n ],\n [\n -26.93875496541213,\n 39.26675694602011\n ],\n [\n -28.93285079773804,\n 39.26675694602011\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"30","issue":"8","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Karimzadeh, Shaghayegh","contributorId":365826,"corporation":false,"usgs":false,"family":"Karimzadeh","given":"Shaghayegh","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hussaini, S.M. Sajad","contributorId":365827,"corporation":false,"usgs":false,"family":"Hussaini","given":"S.M. Sajad","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caicedo, Daniel","contributorId":365828,"corporation":false,"usgs":false,"family":"Caicedo","given":"Daniel","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexandra Carvalho","contributorId":365829,"corporation":false,"usgs":false,"family":"Alexandra Carvalho","affiliations":[{"id":87231,"text":"National Laboratory for Civil Engineering (LNEC), Lisbon, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":954898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lourenco, Paulo B.","contributorId":365830,"corporation":false,"usgs":false,"family":"Lourenco","given":"Paulo","middleInitial":"B.","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954899,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273864,"text":"70273864 - 2026 - Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review","interactions":[],"lastModifiedDate":"2026-02-10T14:52:37.3928","indexId":"70273864","displayToPublicDate":"2026-02-02T07:45:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review","docAbstract":"Fossilized soils, or paleosols, contain soil-formed phyllosilicates whose stable isotopic compositions may be used to calculate paleotemperature and thus reconstruct ancient terrestrial environments. Though paleosols are common in the geologic record, the use of phyllosilicates as paleotemperature proxies is limited in the literature owing to difficulties with selecting optimal paleosols, isolation from non-clay minerals and organic materials, mixtures of phyllosilicates in natural samples, wide variations of chemical compositions for phyllosilicates, and limited to undefined equilibrium fractionation factors between phyllosilicates-water. Here, we address these challenges by examining and comparing methods used for sample selection, mineral isolation, pretreatments, mineral identification, conventional and developing methods for oxygen and hydrogen isotopic analyses, and determination of phyllosilicate-water equilibrium fractionation factors, concluding with recommendations for best approaches for paleotemperature estimation. Additionally, we discuss how to identify and avoid detrital phyllosilicates, the impacts of diagenesis, comparison of stable isotope and non-isotope paleosol paleotemperature proxies, and challenges and opportunities for broadly using paleosols as paleoclimate archives. With ongoing efforts to refine this multi-faceted paleotemperature approach, the stable isotope geochemistry of soil-formed phyllosilicates continues to be an invaluable proxy system, enhancing our understanding of terrestrial paleoenvironments and paleoclimate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2026.105417","usgsCitation":"Andrzejewski, K., McIntosh, J.A., Gulbranson, E.L., and Ibarra, D., 2026, Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review: Earth-Science Reviews, v. 275, 105417, 22 p., https://doi.org/10.1016/j.earscirev.2026.105417.","productDescription":"105417, 22 p.","ipdsId":"IP-176209","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":499939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2026.105417","text":"Publisher Index Page"},{"id":499711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","city":"Russell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.29064471656534,\n 39.275688945589025\n ],\n [\n -99.29064471656534,\n 38.63142013340354\n ],\n [\n -98.38736996174445,\n 38.63142013340354\n ],\n [\n -98.38736996174445,\n 39.275688945589025\n ],\n [\n -99.29064471656534,\n 39.275688945589025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Andrzejewski, Kate","contributorId":366118,"corporation":false,"usgs":false,"family":"Andrzejewski","given":"Kate","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":955315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulbranson, Erik L.","contributorId":366119,"corporation":false,"usgs":false,"family":"Gulbranson","given":"Erik","middleInitial":"L.","affiliations":[{"id":84345,"text":"Gustavus Adolphus College","active":true,"usgs":false}],"preferred":false,"id":955317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibarra, Daniel","contributorId":366121,"corporation":false,"usgs":false,"family":"Ibarra","given":"Daniel","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":955318,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273888,"text":"70273888 - 2026 - Integrating climate and anthropogenic dynamics can inform multifaceted management for declining mule deer populations","interactions":[],"lastModifiedDate":"2026-02-12T16:04:53.061811","indexId":"70273888","displayToPublicDate":"2026-02-01T09:58:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating climate and anthropogenic dynamics can inform multifaceted management for declining mule deer populations","docAbstract":"Wildlife and their habitats face profound challenges from climate and landscape-scale changes that extend beyond the influence and time horizon of most biologists and land managers. In this changing environment, long-term datasets can enhance assessments of how demographic trends respond to interactions among local (e.g., habitat restoration decisions) and broad extent drivers, including energy development, to shape wildlife populations. Although many studies evaluate habitat selection or demographics for a single population, our multipopulation, multiscale study quantifies the influence of local management actions given broader environmental forces using both immediate and lagged effects. This approach may be particularly important for species with high site fidelity that may have less adaptive capacity, including mule deer (Odocoileus hemionus), which are experiencing widespread population declines. We analyzed a 40-year (1980–2019) dataset for 37 mule deer populations across Wyoming, USA, to test hypotheses about and quantify the relative influence of conditions within winter use areas on annual rates of juvenile recruitment. Recruitment has been strongly affected by multiple factors largely beyond the control of managers. Land cover (agriculture and shrubland) had the largest positive effects on recruitment, with estimates more than twice the magnitude of other variables, but also had limited presence in some winter use areas. The next strongest effect sizes were shared by energy developments (including oil/gas and wind energy) and climatic conditions, which, except for wind turbines, had broad distributions across winter use areas. Recruitment increased with higher mean winter temperatures and summer precipitation, but declined with wind, oil and gas developments, cumulative drought, and wildfire. Expected increases in drought and decreases in summer precipitation may constrain options to sustain mule deer populations. Although mule deer recruitment may sometimes be enhanced through habitat restoration, effects varied with treatment type, habitat type, and time since treatment. Given large constraining effects of temperature and drought, supporting drought resiliency for important habitat may be useful. Our results can be used to weigh the relative strength of threats and the value of restoration actions, interpret historic demographic change, prioritize populations for conservation, and optimize options for wildlife habitat management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70107","usgsCitation":"Hayes, T.A., Johnston, A.N., Hall, L.E., Randall, J., Kauffman, M., Keefe, C., Monteith, K., and Graves, T., 2026, Integrating climate and anthropogenic dynamics can inform multifaceted management for declining mule deer populations: Ecological Applications, v. 36, no. 1, e70107, 21 p., https://doi.org/10.1002/eap.70107.","productDescription":"e70107, 21 p.","ipdsId":"IP-148937","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":499952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70107","text":"Publisher Index Page"},{"id":499808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.06248692012866,\n 45.028990969926156\n ],\n [\n -104.07597859026953,\n 45.028990969926156\n ],\n [\n -104.07597859026953,\n 40.96979476463608\n ],\n [\n -111.06248692012866,\n 40.96979476463608\n ],\n [\n -111.06248692012866,\n 45.028990969926156\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Teagan A. 0000-0002-7299-8987","orcid":"https://orcid.org/0000-0002-7299-8987","contributorId":302262,"corporation":false,"usgs":true,"family":"Hayes","given":"Teagan","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Aaron N. 0000-0003-4659-0504","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":201768,"corporation":false,"usgs":true,"family":"Johnston","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, L. 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An eDNA autosampler was deployed May 27–June 02, 2025, which filtered and preserved four 2-L water samples every 12 hours (n = 48 samples). These samples were extracted by USGS and shipped to UCSD for targeted eDNA analyses of Argentine ant. Environmental DNA sampling kits were used to filter and preserve water samples at four sites along the creek spanning ~ 5 km of stream distance. Six 1-L samples were collected at each site May 27–28 and samples were analyzed for eDNA metabarcoding using a comprehensive panel, which encompasses species across the tree of life. In these samples, eDNA from 2,134 unique taxa spanning 30 taxonomic groups (e.g., amoebas, insects, plants) were found. These sampling efforts demonstrated how eDNA autonomous and manual sampling approaches can be applied by National Park Service, TNC, and partners at scale to provide otherwise difficult and expensive to acquire information about biological threats and biodiversity.
","language":"English","publisher":"National Park Service","doi":"10.36967/2317065","usgsCitation":"Sepulveda, A., and Theroux, S., 2026, Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025: Science Report NPS/SR—2026/381, vii, 8 p., https://doi.org/10.36967/2317065.","productDescription":"vii, 8 p.","ipdsId":"IP-183212","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":500193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.9346364010192,\n 34.10158409225852\n ],\n [\n -119.9346364010192,\n 33.95495636433603\n ],\n [\n -119.5117843852133,\n 33.95495636433603\n ],\n [\n -119.5117843852133,\n 34.10158409225852\n ],\n [\n -119.9346364010192,\n 34.10158409225852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theroux, Susanna","contributorId":244544,"corporation":false,"usgs":false,"family":"Theroux","given":"Susanna","affiliations":[],"preferred":false,"id":955925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275688,"text":"70275688 - 2026 - Origin of the Pd/Pt ratio of the J-M Reef, Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2026-05-11T14:36:56.839183","indexId":"70275688","displayToPublicDate":"2026-02-01T09:29:51","publicationYear":"2026","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":"Origin of the Pd/Pt ratio of the J-M Reef, Stillwater Complex, Montana, USA","docAbstract":"The J-M reef of the Stillwater Complex is characterized by a high Pd/Pt ratio (mean ~3.8 with a standard error of 0.03) with a homogeneous geospatial distribution at the deposit scale. In this contribution, we demonstrate that the Pd/Pt ratio of the reef is the product of equilibration of an immiscible sulfide liquid with a silicate melt rich in Pd relative to Pt. Despite the high tenors of the J-M reef sulfides (avg 2,700 ppm Pt and 770 ppm Pt), numerical modeling shows that the parental melts did not have extraordinary Pd and Pt concentrations. Instead, the initial composition of a plausible parental silicate melt can have Pd and Pt contents well within the expected range of a normal, mantle-derived partial melt (i.e., ~10–20 ppb for both Pd and Pt with Pd/Pt of ~1). The relative differences in the partitioning behavior of Pt and Pd between sulfide liquid and silicate melt are unlikely to produce a consistent Pd/Pt ratio across a wide range of silicate melt to sulfide liquid mass ratios (i.e., R factors). Instead, the pre-emplacement fractionation of Pt alloy from S-undersaturated silicate magma accounts for the homogeneous and high Pd/Pt ratio of the J-M reef. We show that batch equilibration of sulfide liquid with silicate melt can produce the high Pd/Pt ratios of the reef if the partition coefficients between sulfide liquid and silicate melt for Pd and Pt are extremely high (>106). In an alternative model, Pd enrichment could be achieved by sulfide upgrading in resident footwall mush even if the partition coefficients between sulfide liquid and silicate melt are relatively small (between 104 and 106) because the instantaneous mass ratio of silicate melt to sulfide liquid is small (R ≈ 100–700), so the partitioning behavior of Pt and Pd has little impact on the composition of sulfide liquid.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5217","usgsCitation":"Jenkins, M., and Smith, W.D., 2026, Origin of the Pd/Pt ratio of the J-M Reef, Stillwater Complex, Montana, USA: Economic Geology, v. 121, no. 2, p. 414-427, https://doi.org/10.5382/econgeo.5217.","productDescription":"14 p.","startPage":"414","endPage":"427","ipdsId":"IP-149533","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":504361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.5217","text":"Publisher Index Page"},{"id":504263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Stillwater Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.333,\n 45.5\n ],\n [\n -109.667,\n 45.5\n ],\n [\n -109.667,\n 45.25\n ],\n [\n -110.333,\n 45.25\n ],\n [\n -110.333,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William D.","contributorId":371256,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"D.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":961407,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274214,"text":"70274214 - 2026 - Living with wildfire in Funny River, Alaska: 2023 Data report","interactions":[],"lastModifiedDate":"2026-03-13T13:58:40.781766","indexId":"70274214","displayToPublicDate":"2026-02-01T08:50:25","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-109","title":"Living with wildfire in Funny River, Alaska: 2023 Data report","docAbstract":"Homeowner wildfire risk mitigation and preparedness are important components of community wildfire readiness. This report describes the data collected through two efforts conducted in the Funny River, Alaska, study area: (1) parcel-level rapid wildfire risk assessments performed by trained assessors and (2) homeowner surveys in which respondents provided self-assessments of their parcel-level wildfire risk. This project was undertaken to support the Kenai Peninsula Borough Office of Emergency Management and Central Emergency Services to inform decisions about wildfire adaptation. The household surveys explored the social dimensions of wildfire, including understanding of wildfire risk, outreach or communication preferences, mitigation and evacuation preparedness activities, and perceptions of community risk reduction strategies. Overall, the study indicated a community that was engaged in preparing for and mitigating the risk of wildfire; however, more mitigation work with respect to defensible space and home hardening could help reduce overall wildfire risk.
","language":"English","publisher":"USDA Forest Service","doi":"10.2737/RMRS-RN-109","usgsCitation":"Donovan, C., Wittenbrink, S., Brenkert-Smith, H., Kuehn, J., McBride, P., Champ, P.A., Barth, C.M., Meldrum, J., Wagner, C., and Taniguchi, C., 2026, Living with wildfire in Funny River, Alaska: 2023 Data report: Research Note RMRS-RN-109, vi, 161 p., https://doi.org/10.2737/RMRS-RN-109.","productDescription":"vi, 161 p.","ipdsId":"IP-180325","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Funny River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.89402263513273,\n 60.555695875687434\n ],\n [\n -150.89402263513273,\n 60.47080634420749\n ],\n [\n -150.61232052087988,\n 60.47080634420749\n ],\n [\n -150.61232052087988,\n 60.555695875687434\n ],\n [\n -150.89402263513273,\n 60.555695875687434\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":957064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":957065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McBride, Paul","contributorId":367213,"corporation":false,"usgs":false,"family":"McBride","given":"Paul","affiliations":[{"id":87597,"text":"Office of Emergency Management, Kenai Peninsula Borough, Alaska","active":true,"usgs":false}],"preferred":false,"id":957066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":957067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":367214,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":957068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957070,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taniguchi, Christine","contributorId":355605,"corporation":false,"usgs":false,"family":"Taniguchi","given":"Christine","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957071,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}