Bighead carp (Hypophthalmichthys nobilis), black carp (Mylopharyngodon piceus), grass carp (Ctenopharyngodon idella), and silver carp (H. molitrix) have spurred wide concern of potential ecosystem disruption as they threaten to invade the Laurentian Great Lakes. Besides competition for resources, carp may also have disadvantageous nutrition for predators. One biochemical aspect to consider in carp is production of the enzyme thiaminase that cleaves thiamine (vitamin B1), making it unavailable to most vertebrates. The function of thiaminase within prey fishes is unclear, but roughly half of all fishes tested have measurable thiaminase activity. Predators consuming large volumes of prey with high thiaminase activity can develop thiamine deficiency, ultimately leading to offspring mortality. Three invasive carp (black carp, grass carp, and bighead carp) have no published thiaminase data. We tested juvenile (<160 mm standard length) black carp (n = 38), bighead carp (n = 7), grass carp (n = 50), and silver carp (n = 50) for thiaminase activity. All four species had measurable activity; however, grass carp had statistically higher thiaminase activity (p < 0.001; median = 61 nmol/g/min) than the other three species. Silver carp had the second highest thiaminase activity (14 nmol/g/min). Bighead (2.7 nmol/g/min) and black (2.2 nmol/g/min) carp had the lowest thiaminase activity; activities were often near detection limits. Predators with diets heavily composed of grass carp or silver carp may experience thiamine deficiency, though seasonal variation in carp size and other food source availability may determine potential effects of invasive carp predation in Great Lakes food webs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102751","usgsCitation":"Rowland, F.E., Byrd, C.G., and Kroboth, P., 2026, Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp: Journal of Great Lakes Research, v. 52, no. 1, 102751, 8 p., https://doi.org/10.1016/j.jglr.2026.102751.","productDescription":"102751, 8 p.","ipdsId":"IP-183322","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501233,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274235/images"},{"id":501232,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274235/70274235.XML"},{"id":501231,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274235/full"},{"id":501229,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Curtis G. 0000-0002-5124-5652","orcid":"https://orcid.org/0000-0002-5124-5652","contributorId":210798,"corporation":false,"usgs":true,"family":"Byrd","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273385,"text":"sir20255104 - 2026 - Estimating the magnitude and frequency of floods at ungaged locations on urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, using data through the 2022 water year","interactions":[],"lastModifiedDate":"2026-02-05T22:06:06.078649","indexId":"sir20255104","displayToPublicDate":"2026-02-05T08:41:23","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5104","displayTitle":"Estimating the Magnitude and Frequency of Floods at Ungaged Locations on Urban Streams in Tennessee and Parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, Using Data Through the 2022 Water Year","title":"Estimating the magnitude and frequency of floods at ungaged locations on urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, using data through the 2022 water year","docAbstract":"In 2024, the U.S. Geological Survey, in cooperation with the Tennessee Department of Transportation, updated the methods for predicting the magnitude and frequency of floods at ungaged locations on streams in urban areas in Tennessee. The study area included 136 streamgages in urban areas in Tennessee, Mississippi, Alabama, Georgia, South Carolina, and North Carolina that had at least 10 percent developed imperviousness in their basins as indicated by data from the 2011 National Land Cover Database. Regression equations were developed to predict streamflows corresponding to the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) and were incorporated into the StreamStats application. In generalized least-squares regression, the base-10 logarithm of drainage area, the percentages of the streamgage basins in developed land use, and the percentages of the streamgage basins in the Piedmont and Ridge and Valley Level 3 ecoregions were statistically significant in explaining the variability in annual peak streamflows in the study area. Drainage areas ranged from 0.164 to 93.4 square miles, the percentage of the streamgage basins in developed land use ranged from 26 to 100 percent, and the percentage of the streamgage basins in Piedmont and Ridge and Valley Level 3 ecoregions ranged from 0 to 100 percent. Pseudo R-squared values for the regression equations ranged from 0.86, or 86 percent, for the 50- and 20-percent AEPs (2- and 5-year floods) to 0.71, or 71 percent, for the 0.2-percent AEP (500-year flood). The average variance of prediction (in log base-10 units) ranged from 0.023 for the 20- and 10-percent AEPs to 0.05 for the 0.2-percent AEP. The average variance of prediction can be reported as a percentage of the predicted value, known as the standard error of prediction, which ranged from 35.8 percent for the 20-percent AEP (5-year flood) to 55.4 percent for the 0.2-percent AEP (500-year flood). Methods are presented for estimating annual peak streamflows for gaged locations, ungaged locations on gaged streams, and locations on ungaged streams.
Contact Us- USGS Publications Warehouse
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Digital flood- inundation maps for a 2.7- mile reach of Río Grande De Loíza in Caguas, Puerto Rico, were created by the U.S. Geological Survey. Water- surface profiles were computed for the stream reach by using a one- dimensional, steady- state, step- backwater model. The model was calibrated to the current (2025) stage- streamflow relation (rating curve) for the U.S. Geological Survey streamgage 50055000, Río Grande De Loíza, Puerto Rico. The resulting hydraulic model was then used to compute 16 water- surface profiles for water levels (flood stages) ranging from 19.00 to 34.00 feet at the streamgage; these flood stages range from “moderate flood stage” to above “major flood stage” as defined by the National Weather Service. The 34.00- foot stage exceeds the historical maximum peak stage of 33.20 feet, recorded at the streamgage in 1945. The simulated water- surface profiles were used in combination with a digital elevation model derived from light detection and ranging (lidar) data to map the inundated areas associated with each flood profile.
The flood- inundation maps and the supporting hydraulic model produced by this study can be used by emergency managers and local officials to assess flood- mitigation strategies and to define flood- hazard areas to help protect life and property, to coordinate flood- response activities such as evacuations and road closures, and to aid post- flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255112","usgsCitation":"Ostheimer, C.J., Torres- Garcia, L.M., and Gomez- Fragoso, J.M., 2026, Flood- inundation maps for Río Grande De Loíza in and near Caguas, Puerto Rico, 2026: U.S. Geological Survey Scientific Investigations Report 2025–5112, 16 p., https://doi.org/10.3133/sir20255112.","productDescription":"Report: vii, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179822","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":499609,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119202.htm","linkFileType":{"id":5,"text":"html"}},{"id":499280,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1IZ6D5V","text":"USGS data release","linkHelpText":"Geospatial data sets and hydraulic model for Río Grande De Loíza in Caguas, Puerto Rico"},{"id":499279,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5112/images/"},{"id":499278,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5112/sir20255112.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5112 XML"},{"id":499277,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255112/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5112 HTML"},{"id":499276,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5112/sir20255112.pdf","size":"3.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5112 PDF"},{"id":499274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5112/coverthb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.09390482728071,\n 18.33190261334512\n ],\n [\n -66.09390482728071,\n 18.134783495693256\n ],\n [\n -65.97456945279221,\n 18.134783495693256\n ],\n [\n -65.97456945279221,\n 18.33190261334512\n ],\n [\n -66.09390482728071,\n 18.33190261334512\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229-1737
Invasive species within North America, particularly wild pigs (Sus scrofa), pose a serious threat to native ecosystems through both direct and indirect impacts. Wild pigs are a large-bodied omnivorous species native to Eurasia and introduced to North America. Using DNA metabarcoding of fecal samples, we investigated the diet of wild pigs at a bottomland hardwood forest ecosystem within Felsenthal National Wildlife Refuge in southern Arkansas. We found that the wild pig diet was diverse and included at least 74 plant families and 106 genera, dominated by plant matter with Fagaceae (oaks and hickories), Poaceae (grasses), and Asteraceae (asters, sunflowers, and daisies) comprising over 50% of total dietary detections. Hard mast was a primary food source in fall and winter, while herbaceous vegetation peaked in spring. We documented DNA from 23 species of vertebrates in wild pig fecal samples, including mammals, birds, fish, frogs, and turtles. Vertebrate matter was most frequently detected in autumn. Vertebrate consumption constituted ~17% of wild pig diet by relative read abundance. Our results highlighted the potential long-term ecological consequences of wild pig foraging behaviors, particularly competition for critical food resources with native wildlife and impact on forest regeneration through the consumption of mast. Understanding dietary dynamics is crucial for managing wild pig populations and mitigating impacts on vulnerable ecosystems and wildlife.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.70019","usgsCitation":"Wilson, K., Chiavacci, S.J., Roberts, C.P., and DeGregorio, B.A., 2026, Seasonal variation in wild pig (Sus scrofa) diet revealed by DNA metabarcoding: Wildlife Society Bulletin, v. 50, no. 1, e70019, 22 p., https://doi.org/10.1002/wsb.70019.","productDescription":"e70019, 22 p.","ipdsId":"IP-176314","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.70019","text":"Publisher Index Page"},{"id":501862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Felsenthal National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.25663096909476,\n 33.2889631983969\n ],\n [\n -92.25663096909476,\n 33.05047632468441\n ],\n [\n -92.0547025523673,\n 33.05047632468441\n ],\n [\n -92.0547025523673,\n 33.2889631983969\n ],\n [\n -92.25663096909476,\n 33.2889631983969\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Kenneth","contributorId":341075,"corporation":false,"usgs":false,"family":"Wilson","given":"Kenneth","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":958330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":958333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958331,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274663,"text":"70274663 - 2026 - Interplay between tectonics and submarine mass transport deposits in Cortes Basin: New high-resolution geophysics in the Outer California Borderland","interactions":[],"lastModifiedDate":"2026-04-03T15:15:07.218513","indexId":"70274663","displayToPublicDate":"2026-02-04T10:03:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Interplay between tectonics and submarine mass transport deposits in Cortes Basin: New high-resolution geophysics in the Outer California Borderland","docAbstract":"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":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":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":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 Center","active":true,"usgs":true}],"preferred":true,"id":955347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":955348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spaeder, Joseph","contributorId":366141,"corporation":false,"usgs":false,"family":"Spaeder","given":"Joseph","affiliations":[{"id":87364,"text":"Kuskokwim River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":955349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitworth, 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Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5098","displayTitle":"Water-Budget Simulations for Selected Watersheds in Cameron County, Texas, 2022–23","title":"Water-budget simulations for selected watersheds in Cameron County, Texas, 2022–23","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Brownsville, Texas, configured and calibrated a set of hydrologic models for a 217-square-mile study area in Cameron County in south Texas during 2022–23. 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":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 \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\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":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":70273867,"text":"70273867 - 2026 - Cotton farming affects ileal virome in a sedentary wild passerine","interactions":[],"lastModifiedDate":"2026-02-10T15:01:13.562068","indexId":"70273867","displayToPublicDate":"2026-02-03T07:54:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23298,"text":"Animal Microbiome","active":true,"publicationSubtype":{"id":10}},"title":"Cotton farming affects ileal virome in a sedentary wild passerine","docAbstract":"Although a few studies have focused on avian gut virome variation in response to environmental stressors, none have assessed virome in relation to the production of chemically intensive crop-based agriculture that alters food resources and detrimentally affects various aspects of avian health and fitness. In this study, we used shotgun metatranscriptomics to assess whether exposure to cotton (Gossypium spp.) production had a deleterious effect on the ileal virome of sedentary northern mockingbirds (Mimus polyglottos) sampled from two cotton-producing areas (16 birds in total) and one uncultivated area (7 birds) in Texas, USA. We recovered 43 viruses representing 13 virus families, which included two viruses that appear to be potential vertebrate pathogens. Individual sample richness varied from 25 to 33 viruses. Both virome richness (Adj. r2 = 0.247, F(2, 20) = 4.615, P = 0.022) and composition (r2 = 0.370, F(2, 20) = 5.883, P = 0.001) differed among three sampling regions. Cotton production was associated with the increase of virome richness (Adj. r2 = 0.283, df = 22, P = 0.005). Pesticide occurrence data collected using silicone bands at the three sites suggest that virome compositional changes are not only associated with total pesticide exposure but are also particularly sensitive to the pesticide combinations detected at each location.
","language":"English","publisher":"Elsevier","doi":"10.1186/s42523-026-00523-2","usgsCitation":"Drovetski, S.V., Bourke, B.P., Hladik, M.L., Ferreira, C.F., Ergunay, K., Linton, Y., Kolpin, D., and Voelker, G., 2026, Cotton farming affects ileal virome in a sedentary wild passerine: Animal Microbiome, v. 8, 8, 12 p., https://doi.org/10.1186/s42523-026-00523-2.","productDescription":"8, 12 p.","ipdsId":"IP-176492","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42523-026-00523-2","text":"Publisher Index Page"},{"id":499712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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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":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":"2026-02-03T15:02:37.82341","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), 29 p., https://doi.org/10.1080/13632469.2026.2619832.","productDescription":"29 p.","ipdsId":"IP-184242","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":499929,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/13632469.2026.2619832","text":"Publisher Index Page"},{"id":499438,"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}","edition":"Online First","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.
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","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":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.
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2026 - Living with wildfire in Santa Fe, New Mexico: 2024 data report","interactions":[],"lastModifiedDate":"2026-03-02T14:17:54.557296","indexId":"70274140","displayToPublicDate":"2026-02-01T08:48:59","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-111","title":"Living with wildfire in Santa Fe, New Mexico: 2024 data report","docAbstract":"Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. This report presents results from a household survey distributed to homeowners in the study area around Santa Fe, New Mexico in 2024 which was a follow-up to a previous survey of homeowners of the same residences, consisting of mostly identical questions, that was conducted in 2021. This follow-up survey was motivated by the nearby 2022 Hermit’s Peak/Calf Canyon Fire. Comparison of results indicates general stability in the aggregated responses to most survey questions. As found previously, 2024 results indicate that Santa Fe survey respondents are engaged in preparing for wildfire, yet more could be done to reduce risk in study communities. Despite decreases between 2021 and 2024 in the acceptability of fuels treatment methods that concern the use of fire, respondents generally support multiple types of programs intended to reduce wildfire risk to the city, including most but not all types of fuels treatments on public lands.
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