he Hayward, Calaveras, and Rodgers Creek faults in the San Francisco Bay region of California have a high probability of producing a large earthquake in the next decades. Although these faults creep, the creep is insufficient to keep up with their relatively rapid slip rates on their deepest sections, so they have been storing tectonic strain since their last large earthquakes, with the Hayward’s and Rodgers Creek’s more than 150 yr ago. We do not know what the next large Hayward–Calaveras–Rodgers Creek earthquakes will look like or how strongly they will shake the San Francisco Bay region. Harris et al. (2021) used the 3D dynamic (spontaneous) rupture method to simulate large earthquakes on these creeping faults. In this article, we examine the resulting simulated long‐period (T > 1 s) ground shaking from 0 to 50 km distance, for earthquakes nucleating on the Hayward fault and earthquakes nucleating on the Rodgers Creek fault. We compare these simulated long‐period ground motions with the Boore et al. (2014) well‐established empirically based ground‐motion model suitable for the slowest material velocity in our 3D velocity structure. We find that the simulated long‐period ground motions from the creeping‐fault earthquake scenarios produce a reasonable agreement with the empirical expectations if frictional cohesion is included only where it is appropriate.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250194","usgsCitation":"Harris, R.A., Barall, M., Parker, G.A., and Hirakawa, E.T., 2026, Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system: Seismological Research Letters, v. 97, no. 3, p. 2050-2063, https://doi.org/10.1785/0220250194.","productDescription":"14 p.","startPage":"2050","endPage":"2063","ipdsId":"IP-170265","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497053,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497108,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250194","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Hayward, Calaveras, and Rodgers Creek faults, San Francisco Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124,\n 39\n ],\n [\n -124,\n 36\n ],\n [\n -120,\n 36\n ],\n [\n -120,\n 39\n ],\n [\n -124,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272656,"text":"70272656 - 2026 - Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2026-04-20T15:46:00.314968","indexId":"70272656","displayToPublicDate":"2025-11-20T10:03:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","docAbstract":"Plasticity of diel activity rhythms may be a key element for adaptations of wildlife populations to changing environmental conditions. In the last decades, grizzly bears Ursus arctos in the Greater Yellowstone Ecosystem (GYE) have experienced notable environmental fluctuations, including changes in availability of food sources and severe droughts. Although substantial research has been conducted on grizzly bear diets, space use, and demographic parameters, studies on factors that may influence their diel activity patterns are lacking. We investigated diel activity of grizzly bears in the GYE as a function of anthropogenic landscape modification, maximum daily ambient temperature, drought severity, and bear density. Specifically, we used accelerometry readings of 169 bears (39 females, 130 males) from 2009 to 2022 to compute three complementary activity measures, hourly intensity of activity, daily active minutes, and active bout length, each used as a response variable within a Bayesian modeling framework. Grizzly bears generally exhibited bimodal diel activity, with crepuscular peaks and slight variations across seasons. Females with young (i.e. cubs or yearlings) were an exception, with more pronounced diurnal activity patterns, possibly as a strategy to avoid infanticide by dominant males. Landscape modification and maximum ambient temperature were the factors most strongly associated with activity patterns of grizzly bears, with greater nocturnality observed in lone females and males as these factors increased. Females with young were comparatively less affected. The GYE is changing because of increasing land development, human recreation pressures, and effects of climate change. Given their greater diurnal activity compared with other cohorts, female grizzly bears with dependent offspring may be more constrained in their ability to modify activity patterns. Our findings add to a growing body of research emphasizing the importance of the temporal dimension of wildlife behavior as a critical factor in assessing species adaptability and vulnerability in a changing world.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11851","usgsCitation":"Donatelli, A., Haroldson, M., Clapp, J.G., Ciucci, P., and van Manen, F.T., 2026, Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem: Oikos, v. 2026, no. 4, e11851, 15 p., https://doi.org/10.1002/oik.11851.","productDescription":"e11851, 15 p.","ipdsId":"IP-179581","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11851","text":"Publisher Index Page"},{"id":496987,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.3187629306571,\n 45.33972157168918\n ],\n [\n -112.3187629306571,\n 42.05504689696562\n ],\n [\n -108.71329990703327,\n 42.05504689696562\n ],\n [\n -108.71329990703327,\n 45.33972157168918\n ],\n [\n -112.3187629306571,\n 45.33972157168918\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2026","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Donatelli, A.","contributorId":358394,"corporation":false,"usgs":false,"family":"Donatelli","given":"A.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clapp, Justin G.","contributorId":363181,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","middleInitial":"G.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":951223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciucci, P.","contributorId":358405,"corporation":false,"usgs":false,"family":"Ciucci","given":"P.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273453,"text":"70273453 - 2026 - The 1912 Ms 7.2 earthquake in the Denali region of central Alaska","interactions":[],"lastModifiedDate":"2026-02-09T16:24:50.573071","indexId":"70273453","displayToPublicDate":"2025-11-20T09:50:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The 1912 Ms 7.2 earthquake in the Denali region of central Alaska","title":"The 1912 Ms 7.2 earthquake in the Denali region of central Alaska","docAbstract":"The 2002 Mw 7.9 earthquake in central Alaska ruptured 340 km on three faults—Susitna Glacier thrust fault, Denali fault, Totschunda fault—crossing both the Richardson Highway and the Alaska Pipeline. Its occurrence prompted renewed interest in historical large earthquakes that possibly originated on the Denali fault. One of these earthquakes was a Ms 7.2 event on July 7, 1912, which we revisit with two approaches: (1) probabilistic relocation of the epicenter using globally recorded arrival times, and (2) compilation and reassessment of shaking intensity reports to estimate a macroseismic epicenter. Our preferred instrumental epicenter is west of the Parks Highway and in agreement with the maximum‐reported shaking, which was from the Parker–Browne expedition of Denali. We also relocated a Ms 6.4 aftershock, whose epicenter is 11 km from the mainshock. Candidate faults for the 1912 earthquake include the Denali fault, the McLeod Creek thrust fault, and the Kantishna Hills thrust fault. Future analysis of active faults, paleoseismic results, 1912 instrumental data, and 1912 felt reports may help in interpreting the fault and mechanism of the 1912 earthquake.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250150","usgsCitation":"Tape, C., Aquino-Lopez, M., Bemis, S., Haeussler, P., and Ginnaty, J., 2026, The 1912 Ms 7.2 earthquake in the Denali region of central Alaska: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 322-354, https://doi.org/10.1785/0120250150.","productDescription":"33 p.","startPage":"322","endPage":"354","ipdsId":"IP-182077","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498617,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498703,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250150","text":"Publisher Index Page"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.43690719365998,\n 66.58359872082357\n ],\n [\n -169.43690719365998,\n 53.57022459464301\n ],\n [\n -130.19988331357695,\n 53.57022459464301\n ],\n [\n -130.19988331357695,\n 66.58359872082357\n ],\n [\n -169.43690719365998,\n 66.58359872082357\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"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":953755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-Lopez, Marco","contributorId":331553,"corporation":false,"usgs":false,"family":"Aquino-Lopez","given":"Marco","affiliations":[],"preferred":false,"id":953756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":175460,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":27572,"text":"UK","active":true,"usgs":false}],"preferred":false,"id":953757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":953758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ginnaty, Jessalyn","contributorId":365145,"corporation":false,"usgs":false,"family":"Ginnaty","given":"Jessalyn","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273661,"text":"70273661 - 2026 - Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada","interactions":[],"lastModifiedDate":"2026-01-22T15:15:07.211159","indexId":"70273661","displayToPublicDate":"2025-11-20T09:09:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada","docAbstract":"Objective
Length and weight indices (e.g., proportional size distribution, relative weight) provide standardized benchmarks that are useful for comparing groups of fish, identifying ecological interactions, and evaluating the effect of management actions. However, the current length categories and standard weight (Ws) equation for Northern Pikeminnow Ptychocheilus oregonensis, a species of important management focus in the Pacific Northwest, were developed using limited data, unclear methods, and no validation. As such, we sought to revise the length categories and Ws equation for Northern Pikeminnow.
Methods
We used the all-tackle world record to develop length categories for Northern Pikeminnow. We compiled data from 100,663 Northern Pikeminnow from 114 populations in Idaho, Montana, Oregon, Washington, and British Columbia to develop a revised Ws equation. Most fish were measured in fork length (FL), so we converted total lengths (TLs) to FLs using the equation TL = −2.301 + 0.916(FL); r2 = 0.998. We used the regression line percentile, linear empirical percentile (EmP), and quadratic EmP methods to develop 50th percentile and 75th percentile Ws equations. We then assessed length-related biases in our Ws equations and the previously published equation.
Results
We propose minimum FLs of 17 cm (7 inches; stock), 26 cm (10 inches; quality), 35 cm (14 inches; preferred), 41 cm (16 inches; memorable), and 51 cm (20 inches; trophy) for proportional size distribution calculations. The previously published Ws equation exhibited substantial length-related biases according to the Willis and weighted empirical quartile method tests. The EmP 50th-percentile Ws equation was the only equation that we evaluated that did not exhibit length-related bias. The EmP 50th-percentile Ws equation was the best performing equation (i.e., no length-related bias detected). The equation is log10(Ws) = −5.258 + 3.135(FL), where Ws is in grams and FL is in millimeters. The equation is valid for Northern Pikeminnow 90–580 mm FL.
Conclusion
The length categories, length conversion, and Ws equation presented here will aid fisheries professionals in the study and management of Northern Pikeminnow populations.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf098","usgsCitation":"Voss, N.S., and Quist, M.C., 2026, Revised length categories and standard weight equation for Northern Pikeminnow: North American Journal of Fisheries Management, v. 46, no. 1, p. 259-268, https://doi.org/10.1093/najfmt/vqaf098.","productDescription":"10 p.","startPage":"259","endPage":"268","ipdsId":"IP-177544","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana, Oregon Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -138.4324395813577,\n 59.93550068574072\n ],\n [\n -124.59147799532579,\n 48.218313763848954\n ],\n [\n -124.44719667247625,\n 42.02251544705595\n ],\n [\n -111.25221612249314,\n 42.02213493751374\n ],\n [\n -111.51121202805528,\n 44.67068539388384\n ],\n [\n -104.24225388242749,\n 45.10223423645201\n ],\n [\n -103.92744104084073,\n 48.83423714465319\n ],\n [\n -113.58199201609347,\n 49.298105422493\n ],\n [\n -118.8005677418272,\n 53.905347228735906\n ],\n [\n -119.63389382864163,\n 59.938025103368716\n ],\n [\n -138.4324395813577,\n 59.93550068574072\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":241654,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":954283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":954284,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272762,"text":"70272762 - 2026 - Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","interactions":[],"lastModifiedDate":"2025-12-09T14:19:48.043829","indexId":"70272762","displayToPublicDate":"2025-11-18T08:45:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","docAbstract":"The karst habitats of central Texas, USA, are home to an array of endemic subterranean-obligate (troglobiotic) invertebrates. This includes several species of rove beetles (Coleoptera: Staphylinidae: Pselaphinae). Here we developed a molecular dataset using sequence capture of Ultra-Conserved Elements (UCEs) from the Coleoptera-UCE-1.1 K v1 baits kit. These data were used to assess species relationships and patterns of diversification in this group, specifically among species within the genera Batrisodes Reitter 1882 and Texamaurops Barr and Steeves 1963; with a specific focus on the relationships of the federally listed as endangered B. texanus Chandler 1992 and B.cryptotexanus Chandler and Reddell 2001. Our final datasets consisted of 69 individuals (two genera, Batrisodes [five species] and Texamaurops [one species], from 34 localities), and a molecular dataset of 658,560 aligned base pairs across 672 UCE loci. Concatenated and species-tree phylogenetic analyses resolved all troglobiotic taxa as a monophyletic group. Within the Travis and Williamson County troglobionts, we recovered four well-supported clades that generally follow hypothesized geologic barriers to dispersal formalized as karst fauna regions (KFRs). A northward pattern of diversification was observed among these groups: (A) Texamaurops reddelli Barr and Steeves 1963 (Jollyville Plateau KFR); (B) Batrisodes reyesi Chandler 1997 (West Cedar Park and Post Oak Ridge KFRs); (C) B. reyesi (McNeil-Round Rock KFR); (D) B. cryptotexanus + B. texanus (Georgetown and North Williamson KFRs). The morphologically defined Batrisodes texanus and B. cryptotexanus were not reciprocally monophyletic, nor clustered into two unique groups in clustering analyses of single nucleotide polymorphisms (SNPs). Rather, we found support for five major subclades and five to seven genetic clusters. These results suggest that diversification and subsequent isolation of clades may have occurred with the progressive availability of karst habitats over time in the North Williamson and Georgetown KFRs resulting from the interactions of faulting, geologic structure, and drainage basin evolution. Comparison with recent U.S. Fish and Wildlife Service cave habitat resiliency assessments indicated that four genetic clusters occur within at least partially resilient habitat, whereas three are confined to caves with low or impaired resiliency. Integrating genetic results presented here along with results of other molecular studies of co-occurring troglobiotic invertebrates supports considering additional geological substructure within the North Williamson KFR in conservation efforts for these rare and unique lineages and systems.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01733-y","usgsCitation":"Wood, P.L., Chandler, D.S., Gladstone, N.S., Mitelberg, A., Smith, J.G., White, K., Wilson, J., and Vandergast, A.G., 2026, Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions: Conservation Genetics, v. 27, 6, 17 p., https://doi.org/10.1007/s10592-025-01733-y.","productDescription":"6, 17 p.","ipdsId":"IP-180017","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497406,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01733-y","text":"Publisher Index Page"},{"id":497192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"central Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.73468272013145,\n 32.73358466173568\n ],\n [\n -98.73468272013145,\n 30.565934073926556\n ],\n [\n -96.59794469143151,\n 30.565934073926556\n ],\n [\n -96.59794469143151,\n 32.73358466173568\n ],\n [\n -98.73468272013145,\n 32.73358466173568\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Perry L. Jr. 0000-0003-3767-5274","orcid":"https://orcid.org/0000-0003-3767-5274","contributorId":363405,"corporation":false,"usgs":true,"family":"Wood","given":"Perry","suffix":"Jr.","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Donald S.","contributorId":363406,"corporation":false,"usgs":false,"family":"Chandler","given":"Donald","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":951628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gladstone, Nicholas S.","contributorId":363407,"corporation":false,"usgs":false,"family":"Gladstone","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Julia G. 0000-0001-9841-1809","orcid":"https://orcid.org/0000-0001-9841-1809","contributorId":221086,"corporation":false,"usgs":true,"family":"Smith","given":"Julia","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Kemble","contributorId":363408,"corporation":false,"usgs":false,"family":"White","given":"Kemble","affiliations":[{"id":86694,"text":"Cambrian Environmental","active":true,"usgs":false}],"preferred":false,"id":951632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Jenny","contributorId":363409,"corporation":false,"usgs":false,"family":"Wilson","given":"Jenny","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951633,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951634,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275253,"text":"70275253 - 2026 - Evaluating sediment transport and metal sorption in the San Juan River watershed","interactions":[],"lastModifiedDate":"2026-04-24T15:11:04.207082","indexId":"70275253","displayToPublicDate":"2025-11-17T09:58:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24008,"text":"Geochemistry; Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating sediment transport and metal sorption in the San Juan River watershed","docAbstract":"The physical and chemical characteristics of sediment influence the transport of metals in rivers. The San Juan River and its tributaries are located in the Four Corners Region in the southwestern United States and the watershed contains a wide variety of potential metal sources. Comparisons of past and present sediment data provide insight into the effects of seasonality and storm events on the transport of sediment within a watershed. Comparisons suggest finer (<0.63 µm) sediment particles increase at a greater rate during intense storm events than coarser sediment particles. These fine, clay-sized sediments have a greater potential for metal sorption. Statistical analyses compared upper and lower portions of the San Juan River. Results show that total elemental concentration decreases in sediments (1785.15 μg l−1) and that concentrations increase in the aqueous phase (2063.08 μg l−1) downstream in the San Juan River. Analyses using geochemical and scanning electron microscopy with energy dispersive spectroscopy suggest that sediment clay particles are the most likely constituent to transport metals in the San Juan River. Metal transport is further aided by metal oxide coatings that develop on the surfaces of larger particles. Increases in aggregation of fine-grained particles in the downstream portions of the San Juan River are also likely to bind elements within sediments, which can act as both a source and sink for metals in the lower watershed.
Objective
Knowledge of invasive Silver Carp Hypophthalmichthys molitrix population demographics and distributions may inform estimates of efforts necessary to achieve reductions in abundance and identify locations to conduct removal. Although extensively studied in other parts of their invasive range (e.g., Mississippi and Illinois rivers), less is known regarding Silver Carp population demographics in Great Plains rivers and streams. As such, this study characterized Silver Carp population demographics along an invasion gradient in a Great Plains river network containing multiple hydrologically unique river reaches and tributaries.
Methods
Boat and tote-barge electrofishing surveys were conducted within the lower Platte River basin in the spring, summer, and fall of 2022 and 2023. Lapilli otoliths were collected for assessment of age, growth, and annual mortality. Information on sex also was collected. A spatial assessment of differences in population demographics was performed between core and periphery regions of the population.
Results
There were 1,528 Silver Carp collected. A spatial difference in relative abundance was observed and was associated with changes in body condition and total length along the longitudinal gradient of the lower Platte River basin. Silver Carp sex ratios were male-skewed across the lower Platte River basin (1.6:1), particularly in reaches near the invasion front (10.1:1).
Conclusions
Silver Carp population demographics within the lower Platte River basin were aligned with an establishing population characterized by rapid individual growth and skewed sex ratios. Broadscale variation in population characteristics, including growth and size structure, suggested density-dependent processes. Silver Carp occurred throughout the study area, indicating that braided Great Plains streams are susceptible to invasion. This study provided insight into Silver Carp population demographics in the lower Platte River basin and may provide useful information for the development of Silver Carp management plans in similar Great Plains streams.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf105","usgsCitation":"Logan, B., Pegg, M., Steffensen, K.D., and Spurgeon, J.J., 2026, Population demographics of invasive Silver Carp in a Great Plains river network: North American Journal of Fisheries Management, v. 46, no. 1, p. 70-83, https://doi.org/10.1093/najfmt/vqaf105.","productDescription":"14 p.","startPage":"70","endPage":"83","ipdsId":"IP-177767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496833,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Logan, Blake","contributorId":362968,"corporation":false,"usgs":false,"family":"Logan","given":"Blake","affiliations":[{"id":81786,"text":"Nebraska Game & Parks Commission","active":true,"usgs":false}],"preferred":false,"id":950886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pegg, Mark","contributorId":203266,"corporation":false,"usgs":false,"family":"Pegg","given":"Mark","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steffensen, Kirk D.","contributorId":196924,"corporation":false,"usgs":false,"family":"Steffensen","given":"Kirk","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":950888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272657,"text":"70272657 - 2026 - Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements","interactions":[],"lastModifiedDate":"2025-12-02T17:00:54.237091","indexId":"70272657","displayToPublicDate":"2025-11-10T10:52:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements","docAbstract":"This study examines the spatial variability of shallow groundwater on Dhigelaabadhoo Island using electromagnetic induction surveys, groundwater monitoring, and sediment analyses. The research reveals how variations in island morphology—such as differences in elevation, reef flat width, and sediment composition—affect the spatial distribution of groundwater lenses and the overall aquifer dynamics. Saltwater intrusion is especially pronounced in low elevated areas, with narrow reef flat plate and areas where higher hydraulic conductivity—driven by the presence of coarser sediments—is observed, whereas regions characterized by finer sediments, higher elevation, and wider reef flat plates tend to support more symmetric and less saline groundwater lenses. The geophysical investigations reveal that tidal oscillations alter groundwater movement by markedly changing water levels and conductivity, thereby underscoring the critical need to account for temporal dynamics in atoll coastal aquifer systems and the importance of integrating tidal dynamics into the aquifer zone. The findings highlight the significant role of intrinsic morphological and external hydrodynamic factors in shaping groundwater distribution on atoll islands, offering critical insights for sustainable freshwater resource management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.134560","usgsCitation":"Tobon-Velazquez, N., Masselink, G., O’Hare, T., Bates, R., Oberle, F., Storlazzi, C.D., and Conley, D.C., 2026, Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements: Journal of Hydrology, v. 664, no. 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One important example is warming-induced mangrove poleward expansion, which is shifting dominant plant cover across tropical–temperate transitional zones and altering ecosystem structure and function. We examined how mangrove expansion affects soil organic carbon (SOC) quantity and source, using measurements of SOC density and isotopic signatures (δ13C and δ15N) at 15 sites across Florida’s west coast (USA). The sampled sites represent examples of three expansion stages: a latitudinal chronosequence of mangrove expansion, spanning mature mangroves in the south, former ecotones at mid latitudes, and current ecotones in the north. Our analyses of soil core data indicate that mangrove expansion stage is a significant predictor of SOC density, δ13C, and δ15N, but not C:N ratio. Current ecotones exhibited significantly lower SOC density but higher δ13C, suggesting a greater contribution of preexisting C4 salt marshes, while no difference was found between former ecotones and mature mangroves. SOC density, δ13C, and δ15N were found to vary with mangrove aboveground biomass, stage, and sedimentary setting along the latitudinal gradient. For all three mangrove expansion stages, SOC density decreased with depth, but δ13C showed no vertical trend, suggesting that mangroves contributed organic carbon to the entire 20-cm soil profile. The observed regional trend of SOC across mangrove expansion stages highlights the ecological impacts of warming-driven vegetation shifts in coastal wetlands, though further evidence is needed to determine the primary drivers and mechanisms, while also considering local and regional environmental factors.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-025-01021-3","usgsCitation":"Kang, Y., Assavapanuvat, P., Osland, M., and Kaplan, D.A., 2026, Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion: Ecosystems, v. 29, no. 1, 2, 16 p., https://doi.org/10.1007/s10021-025-01021-3.","productDescription":"2, 16 p.","ipdsId":"IP-177314","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.32160751894271,\n 25.054902179361207\n ],\n [\n -80.63726301014596,\n 25.258298250546616\n ],\n [\n -81.8527400049156,\n 27.227832172418474\n ],\n [\n -82.33280191711681,\n 28.84154022988217\n ],\n [\n -83.06821596269705,\n 29.7501155011185\n ],\n [\n -84.31432949640975,\n 30.536225351129545\n ],\n [\n -84.93739349566832,\n 30.13070589776649\n ],\n [\n -85.98944614179287,\n 30.421797338238022\n ],\n [\n -86.25501595921092,\n 30.342496828735193\n ],\n [\n -85.20296443450356,\n 29.55483610748952\n ],\n [\n -84.09984046033792,\n 29.989262856477296\n ],\n [\n -82.94564883333466,\n 28.859434680310557\n ],\n [\n -83.07843222809143,\n 27.699106909720854\n ],\n [\n -81.32160751894271,\n 25.054902179361207\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Yiyang","contributorId":305365,"corporation":false,"usgs":false,"family":"Kang","given":"Yiyang","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assavapanuvat, Prakhin","contributorId":363279,"corporation":false,"usgs":false,"family":"Assavapanuvat","given":"Prakhin","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":206443,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplan, David A.","contributorId":363282,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","middleInitial":"A.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275175,"text":"70275175 - 2026 - Double agents: Invasive Burmese pythons (Python bivittatus) and Argentine black and white tegus (Salvator merianae) as potential seed dispersers in south Florida","interactions":[],"lastModifiedDate":"2026-04-21T14:07:31.747131","indexId":"70275175","displayToPublicDate":"2025-11-09T08:47:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Double agents: Invasive Burmese pythons (Python bivittatus) and Argentine black and white tegus (Salvator merianae) as potential seed dispersers in south Florida","title":"Double agents: Invasive Burmese pythons (Python bivittatus) and Argentine black and white tegus (Salvator merianae) as potential seed dispersers in south Florida","docAbstract":"Invasive species can reshape ecological processes, including seed dispersal, through both direct and indirect pathways. In this study, we explore how invasive reptiles influence seed dispersal dynamics in the Greater Everglades ecosystem using two case studies: the Burmese python (Python bivittatus) and the Argentine black and white tegu (Salvator merianae). Guided by a conceptual framework, we investigate three primary mechanisms through which invasive species may alter seed outcomes: direct seed consumption, predation on seed dispersers before seed ingestion, and secondary seed dispersal via predation on animals that have already consumed seeds. Burmese pythons, as apex predators, may contribute to seed dispersal through diploendozoochory while simultaneously driving trophic cascades that restructure the seed disperser community. Tegus, as omnivorous frugivores, directly consume and disperse a wide diversity of plant seeds. We documented 25 seed morphotypes in python diets and 73 in tegu diets, spanning a broad 38 families and including native, endangered, and invasive plant species. Using a binary interaction network, we found that these reptiles exhibit high generalization, nestedness, and connectance—suggesting they are becoming functionally integrated into Everglades seed dispersal networks. These findings reveal that invasive reptiles not only disrupt native plant–animal interactions but may also reshape them, with implications for ecosystem stability, restoration, and management.
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Despite an ever‐growing library of ground‐breaking studies, questions remain about the potential of fiber‐optic sensing technologies as tools for advancing if not revolutionizing earthquake‐hazards‐related research, monitoring, and early warning systems. A working group convened to explore these topics; we comprehensively examined the application of fiber optics in various aspects of earthquake hazards, encompassing earthquake source processes, crustal imaging, data archiving, and technological challenges. There is great potential for fiber‐optic systems to advance earthquake monitoring and understanding, but to fully unlock their capabilities requires continued progress in key areas of research and development, including instrument testing and validation, increased dynamic range for applications focused on larger earthquakes, and continued improvement in subsurface and source imaging methods. A key current stumbling block results from the lack of clear data archiving requirements, and we propose an initial strategy that balances data volume requirements with preserving key data for a broad range of future studies. In addition, we demonstrate the potential for fiber‐optic sensing to impact monitoring efforts by documenting the data completeness in a number of long‐term experiments. Finally, we outline the features of a instrument testing facility that would enable progress toward reliable and standardized distributed acoustic sensing data. Overcoming these current obstacles would facilitate progress in fiber‐optic sensing and unlock its potential application to a broad range of earthquake hazard problems.
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","language":"English","publisher":"Wiley","doi":"10.1111/jfb.70268","usgsCitation":"Humphrey, E.K., Spurgeon, J.J., Bowen, L., Wilson, R.E., Waters-Dynes, S.C., Newkirk, B.M., and Sonsthagen, S.A., 2026, Too hot for comfort: Elevated temperatures influence gene expression and exceed thermal tolerance of bigmouth shiners, Ericymba dorsalis: Journal of Fish Biology, v. 108, no. 2, p. 625-634, https://doi.org/10.1111/jfb.70268.","productDescription":"10 p.","startPage":"625","endPage":"634","ipdsId":"IP-179318","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496694,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496761,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.70268","text":"Publisher Index Page"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.04584044142557,\n 43.01103305017659\n ],\n [\n -104.09163887010574,\n 40.978861384617716\n ],\n [\n -102.07396809262718,\n 40.994152837401764\n ],\n [\n -102.10374412471413,\n 39.986154865063796\n ],\n [\n -95.30329180208444,\n 39.96701839571119\n ],\n [\n -96.36971775777259,\n 42.71578133925061\n ],\n [\n -98.30779398660637,\n 42.983212934161486\n ],\n [\n -104.04584044142557,\n 43.01103305017659\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphrey, Ella K.","contributorId":362647,"corporation":false,"usgs":false,"family":"Humphrey","given":"Ella","middleInitial":"K.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Robert E.","contributorId":362649,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newkirk, Braxton M.","contributorId":362652,"corporation":false,"usgs":false,"family":"Newkirk","given":"Braxton","middleInitial":"M.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950692,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272143,"text":"70272143 - 2026 - Refined chronology of late Quaternary eruptions at Harrat Khaybar, Saudi Arabia, with implications for magma dynamics and regional volcanic history","interactions":[],"lastModifiedDate":"2026-03-09T14:33:25.048727","indexId":"70272143","displayToPublicDate":"2025-11-05T08:00:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Refined chronology of late Quaternary eruptions at Harrat Khaybar, Saudi Arabia, with implications for magma dynamics and regional volcanic history","docAbstract":"Determining accurate and precise ages for Quaternary volcanic centers is essential for reconstructing volcanic field histories, understanding magmatic processes, and assessing potential hazards or risk. Harrat Khaybar, western Saudi Arabia, is one of the youngest and potentially most active volcanic fields on the Arabian plate, has been active since ca. 1.7 Ma, and is characterized by a spectrum of rock compositions ranging from predominantly alkalic basalt to trachyte and comendite. Previous work in Harrat Khaybar utilizing 40Ar/39Ar incremental heating geochronology to constrain morphological preservation and superpositional relationships bracketed the volcanic activity into broad age groups in intervals of ∼150 k.y., and the youngest and most compositionally evolved volcanoes, including Jabal Abyad, Jabal Bayda, and Jabal Qidr, were assigned to the age groups between ca. 300 ka and present. Herein, we establish a detailed chronology of prehistoric silicic and historical basaltic eruptions at central Harrat Khaybar using four independent eruption age determination techniques: zircon double-dating (ZDD), which combines 238U-230Th disequilibrium or U-Pb with (U-Th)/He dating; zircon U-Pb dating; cosmogenic 3He dating; and cosmogenic 36Cl geochronology. These were employed to accurately date six volcanic centers, including the comenditic Jabal Abyad, Jabal Bayda, Jabal Ibayl, and Jabal Alhayyirah, the trachytic Jabal Aluthmor, and the basaltic Jabal Qidr. Additionally, our previously published 40Ar/39Ar ages have been recalculated using isochron intercept (nonatmospheric) 40Ar/36Ar for the trapped Ar component. Our new results reveal that zircon rims from Jabal Abyad and Jabal Bayda define isochron 238U-230Th crystallization ages of 125 ± 4 ka and 144 ± 6 ka, concordant with ZDD eruption ages of 132 ± 4 ka and 149 ± 5 ka, respectively. Zircon U-Pb crystallization and (U-Th)/He eruption ages from Jabal Alhayyirah are concordant at 471 ± 14 ka and 458 ± 18 ka, respectively. Finally, zircons from the nearby Jabal Ibayl yield a U-Pb weighted mean crystallization age of 566 ± 16 ka concordant with the corresponding (U-Th)/He eruption age of 554 ± 12 ka, both of which are notably older than the previously proposed eruption ages of 300−150 ka. Recalculations of published 40Ar/39Ar ages for the youngest volcanoes at central Harrat Khaybar are now in excellent agreement with new geochronological data.
Our new age data reveal several new insights into the development of Harrat Khaybar. It is now clear that the comenditic eruptions do not belong to the same eruptive phase and indicate an extended history during which comendites have episodically punctuated the basaltic volcanism since at least 600 ka. The data indicate that Jabal Ibayl and Jabal Alhayyirah represent separate older volcanic events, whereas the younger Jabal Abyad and Jabal Bayda volcanoes appear to be coeval, and their spatial proximity implies that they share a magmatic lineage and maybe a common plumbing system. Zircon age spectra of the comendites reveal obvious xenocrysts and antecrysts indicating assimilation of basement and plutonic progenitors, but otherwise they define broad unimodal populations of crystallization ages that overlap within error with the respective eruption ages. We interpret this to indicate that zircon crystallization continued up to the time of eruption. The cosmogenic ages of Jabal Aluthmor and Jabal Qidr reveal that these centers erupted as recently as ca. 2000 and 760 years ago, respectively. Broadly coeval young silicic and basaltic eruptions at northern Harrat Rahat, the harrat immediately south of Harrat Khaybar, may imply a shared geodynamic forcing between the two adjacent volcanic fields.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/B38611.1","usgsCitation":"Aohali, A., de Silva, S.L., de Leon, A., Lewis, C., Schmitt, A.K., Danišík, M., Stelten, M.E., Mukhopadhyay, S., Duncan, R., and Ramos, F.C., 2026, Refined chronology of late Quaternary eruptions at Harrat Khaybar, Saudi Arabia, with implications for magma dynamics and regional volcanic history: GSA Bulletin, 20 p., https://doi.org/10.1130/B38611.1.","productDescription":"20 p.","ipdsId":"IP-179667","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","otherGeospatial":"Harrat Khaybar","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 32.85295692715516,\n 31.09037520506034\n ],\n [\n 32.4913950501539,\n 29.629285602110514\n ],\n [\n 42.48408268197696,\n 16.295959844508005\n ],\n [\n 44.73156011376457,\n 17.35801132821274\n ],\n [\n 44.40883286040667,\n 19.46824225247422\n ],\n [\n 45.04342709873005,\n 21.136426902843187\n ],\n [\n 43.12386232882824,\n 25.38842500405898\n ],\n [\n 39.48524523909565,\n 28.58924888259447\n ],\n [\n 37.25829032269033,\n 29.051927055631452\n ],\n [\n 32.85295692715516,\n 31.09037520506034\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Aohali, Abdullah","contributorId":362243,"corporation":false,"usgs":false,"family":"Aohali","given":"Abdullah","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Silva, Shanaka L. 0000-0002-0310-5516","orcid":"https://orcid.org/0000-0002-0310-5516","contributorId":242616,"corporation":false,"usgs":false,"family":"de Silva","given":"Shanaka","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Leon, Alejandro Cisneros 0000-0002-0133-2838","orcid":"https://orcid.org/0000-0002-0133-2838","contributorId":362244,"corporation":false,"usgs":false,"family":"de Leon","given":"Alejandro Cisneros","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Charles","contributorId":362245,"corporation":false,"usgs":false,"family":"Lewis","given":"Charles","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Axel K.","contributorId":362246,"corporation":false,"usgs":false,"family":"Schmitt","given":"Axel","middleInitial":"K.","affiliations":[{"id":13639,"text":"Curtin University","active":true,"usgs":false}],"preferred":false,"id":950215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Danišík, Martin","contributorId":362247,"corporation":false,"usgs":false,"family":"Danišík","given":"Martin","affiliations":[{"id":13639,"text":"Curtin University","active":true,"usgs":false}],"preferred":false,"id":950216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mukhopadhyay, Sujoy","contributorId":362248,"corporation":false,"usgs":false,"family":"Mukhopadhyay","given":"Sujoy","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":950218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duncan, Robert","contributorId":362249,"corporation":false,"usgs":false,"family":"Duncan","given":"Robert","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950219,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ramos, Frank C.","contributorId":362250,"corporation":false,"usgs":false,"family":"Ramos","given":"Frank","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":950220,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273458,"text":"70273458 - 2026 - Same view through a different lens: Comparing population trends for North American birds using eBird and the Breeding Bird Survey","interactions":[],"lastModifiedDate":"2026-03-09T14:44:05.324035","indexId":"70273458","displayToPublicDate":"2025-11-05T07:56:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Same view through a different lens: Comparing population trends for North American birds using eBird and the Breeding Bird Survey","docAbstract":"Confidently estimating population trends is of vital importance for a wide range of ecological, conservation, and management applications. North America has 2 major data sources for estimating population trends of breeding birds—the North American Breeding Bird Survey (BBS) and the global participatory science project eBird. Because the surveys differ in protocols, coverage, and data analysis, their trend estimates are expected to vary in magnitude, direction, and/or precision for at least some species and regions. Here, we compare independently derived estimates of population change between 2012 and 2022 for every combination of species and bird conservation region (BCR) covered by both surveys (n = 5,577 combinations) as well as aggregated across entire ranges or within the U.S. or Canada. Uncertainty was substantial for both surveys, though more prevalent for BBS (81% of credibility intervals for estimates included zero) than eBird (34% of confidence intervals overlapped zero). We found agreement of trend directions between the 2 surveys. Only 1.3% of estimated trends were significant in opposite directions between the 2 surveys for all species/BCR combinations, with the median difference in trend magnitude being –0.02% (BBS minus eBird trend). Correlations between the 2 were strongest for estimates that were graded as being high credibility compared to estimates judged to have medium or low credibility. Both surveys were subject to species, taxonomic, and regional effects that influenced agreement. Overall, we show where trend estimates derived from BBS and eBird agree, explore where they diverge, present several comparisons to assist in interpreting results from both surveys, and inform efforts to integrate information from each.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf077","usgsCitation":"Robinson, O.J., Johnston, A.J., Hochachka, W.M., Hostetler, J.A., Sauer, J.R., Auer, T., Strimas-Mackey, M.E., Ligocki, S., Faraco-Hadlock, N.A., Ruiz-Gutierrez, V., Rodewald, A.D., and Fink, D., 2026, Same view through a different lens: Comparing population trends for North American birds using eBird and the Breeding Bird Survey: Ornithological Applications, v. 128, no. 1, p. 1-14, https://doi.org/10.1093/ornithapp/duaf077.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-177306","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498606,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -175.5769656031165,\n 67.88007213476573\n ],\n [\n -176.42265817434867,\n 52.09754159577638\n ],\n [\n -135.3326753777096,\n 55.172434116597884\n ],\n [\n -120.43638889508058,\n 32.147432273276934\n ],\n [\n -76.5966100414586,\n 24.358972522659556\n ],\n [\n -50.64255884378724,\n 46.04534849315602\n ],\n [\n -60.903583596490165,\n 62.58237847273696\n ],\n [\n -117.88795050621641,\n 71.73176576156126\n ],\n [\n -152.156676231909,\n 72.85004301491678\n ],\n [\n -175.5769656031165,\n 67.88007213476573\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Orin J.","contributorId":220077,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","middleInitial":"J.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":953770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Alison J.","contributorId":365147,"corporation":false,"usgs":false,"family":"Johnston","given":"Alison","middleInitial":"J.","affiliations":[{"id":87068,"text":"University of St Andrews, St Andrews, UK","active":true,"usgs":false}],"preferred":false,"id":953771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hochachka, Wesley M.","contributorId":365148,"corporation":false,"usgs":false,"family":"Hochachka","given":"Wesley","middleInitial":"M.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, J. 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We sampled their scalp and facial hair periodically to evaluate hair as a biomarker to track shifts in methylmercury (MeHg) exposure from diet. Each individual differed in the onset and extent of MeHg accumulation but showed similar depuration rates. Pretrip baseline Hg isotope values between participants were distinct from Gabonese fishes allowing us to detect shifts in MeHg sources in the hair of both individuals. δ202Hg values tracked the mass-dependent fractionation of MeHg depuration stemming from in vivo metabolism, leading to δ202Hg increases of 0.014 ± 0.001 per mille and total Hg losses of 8.3 ± 1.1 ng g–1 daily. While limited in scope due to minimal participants, our findings reveal a complex interaction between prior MeHg burdens, contemporary MeHg intakes, and sources of consumed fishes (locally caught versus market-sourced) in determining the dynamics of MeHg concentrations and δ202Hg in human hair. We also suggest that the offset in δ202Hg values used in literature between fish and human hair (1.75 ± 0.25‰) may overlook a time domain that increases starting fish-hair δ202Hg offsets (0.94‰), through time.
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This study investigates the multi-year dynamics of root strength following wildfire in coniferous forests of western Oregon and evaluates implications for postfire slope stability. Root tensile strength was measured through laboratory testing of 969 roots collected from 26 test pits over four postfire timeframes: unburned conditions, 4–12 months postfire (Cedar Creek, 2022), 24–35 months postfire (Holiday Farm, 2020), and 59–67 months postfire (Eagle Creek, 2017). Variables analyzed include root diameter, tensile thread strength, stiffness, progressive tensile strength with displacement, time-dependent strength and ductility, root area ratio, and cohesion. Results indicate a 50% reduction in root strength after wildfire, with the lowest values occurring around 4 years postfire. Projections indicate it could take 10–22 years following fire for root strength to recover to 70% and 90% of the prefire original root strength, respectively. This timeline indicates a multi-year window of vulnerability for shallow landslides that reaches a maximum approximately 4 years following fire. Brittle failure behavior was observed in burned root systems compared to unburned root systems, signaling a more abrupt loss of strength at yield. Simple slope stability analyses show that reduced root strength can lead to instability on more gentle slopes and under less saturation in comparison to unburned conditions. These findings highlight the critical role of root reinforcement in postfire slope stability and the long-term implications of wildfire disturbance on landslide susceptibility.
","language":"English","publisher":"Springer","doi":"10.1007/s10346-025-02643-3","usgsCitation":"Sousa, D.F., Fulmer, E., Sanders, M.A., Mathews, N.W., Roering, J.J., Rengers, F.K., Mirus, B., Burns, W., Olsen, M.J., and Leshchinksy, B., 2026, The influence of postfire root strength decay on shallow landslide susceptibility in western Oregon: Landslides, v. 23, p. 1-18, https://doi.org/10.1007/s10346-025-02643-3.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-173335","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":504992,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"western Oregon","volume":"23","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Sousa, David F.M.","contributorId":371792,"corporation":false,"usgs":false,"family":"Sousa","given":"David","middleInitial":"F.M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":962361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulmer, Erik","contributorId":371817,"corporation":false,"usgs":false,"family":"Fulmer","given":"Erik","affiliations":[],"preferred":false,"id":962389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Maryn A. 0000-0001-8172-8359","orcid":"https://orcid.org/0000-0001-8172-8359","contributorId":371793,"corporation":false,"usgs":false,"family":"Sanders","given":"Maryn","middleInitial":"A.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":962362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mathews, Nicolas W. 0000-0002-4647-4039","orcid":"https://orcid.org/0000-0002-4647-4039","contributorId":371794,"corporation":false,"usgs":false,"family":"Mathews","given":"Nicolas","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":962363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roering, Josh J. 0000-0003-0647-3338","orcid":"https://orcid.org/0000-0003-0647-3338","contributorId":371795,"corporation":false,"usgs":false,"family":"Roering","given":"Josh","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":962364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burns, William 0000-0002-4379-6198","orcid":"https://orcid.org/0000-0002-4379-6198","contributorId":344522,"corporation":false,"usgs":false,"family":"Burns","given":"William","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":962367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olsen, Michael J. 0000-0002-2989-5309","orcid":"https://orcid.org/0000-0002-2989-5309","contributorId":343799,"corporation":false,"usgs":false,"family":"Olsen","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":962368,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leshchinksy, Ben 0000-0003-3890-1368","orcid":"https://orcid.org/0000-0003-3890-1368","contributorId":297919,"corporation":false,"usgs":false,"family":"Leshchinksy","given":"Ben","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":962369,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273811,"text":"70273811 - 2026 - High-precision earthquake catalog for Minto Flats fault zone, central Alaska, reveals complex and conjugate faulting","interactions":[],"lastModifiedDate":"2026-02-04T14:24:54.694859","indexId":"70273811","displayToPublicDate":"2025-11-04T08:30:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7571,"text":"Bulletin of Seismological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"High-precision earthquake catalog for Minto Flats fault zone, central Alaska, reveals complex and conjugate faulting","docAbstract":"The Minto Flats fault zone (MFFZ) in central Alaska is a left‐lateral strike‐slip fault system situated between the continental‐scale right‐lateral Denali and Kaltag‐Tintina faults. The MFFZ has the potential to generate magnitude 7 earthquakes, and it hosted a magnitude 6 earthquake in 1995. It has also produced exotic events, such as very‐low‐frequency earthquakes and nucleation signals. We use network‐matched filtering and relative earthquake relocation techniques to derive a detailed catalog of earthquake locations for the MFFZ. The catalog spans from August 2014 to December 2019, a time period including 13 temporary seismic stations in the region. Our results provide the most complete catalog for the MFFZ and include deeper events, clusters of shallow seismicity, and a complex and segmented fault structure not observed in the original regional catalog. We document right‐lateral strike‐slip faulting, conjugate to the main northeast‐striking left‐lateral faults of the MFFZ. Below Nenana basin, the relocated seismicity reveals northwest‐dipping left‐lateral faults, supporting the inference that deep crustal active faulting is associated with recent basin deformation.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250177","usgsCitation":"Sims, N.E., Tape, C., Ruppert, N., and West, M.E., 2026, High-precision earthquake catalog for Minto Flats fault zone, central Alaska, reveals complex and conjugate faulting: Bulletin of Seismological Society of America, v. 116, no. 1, p. 375-396, https://doi.org/10.1785/0120250177.","productDescription":"22 p.","startPage":"375","endPage":"396","ipdsId":"IP-182902","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499435,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Minto Flats fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -146.5,\n 65.2\n ],\n [\n -150,\n 65.2\n ],\n [\n -150,\n 64.2\n ],\n [\n -146.5,\n 64.2\n ],\n [\n -146.5,\n 65.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Sims, Nealey E.","contributorId":365831,"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":954904,"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":954905,"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":954906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Michael E.","contributorId":365832,"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":954907,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272655,"text":"70272655 - 2026 - Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region","interactions":[],"lastModifiedDate":"2026-01-22T16:31:44.056289","indexId":"70272655","displayToPublicDate":"2025-10-28T10:26:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region","title":"Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region","docAbstract":"Understanding range-wide demographic, spatial, and temporal variation in annual survival is essential for managing species of conservation concern. Multi-population models are useful tools for integrating diverse datasets, reducing biases, and deriving survival estimates across differing spatial scales. We conducted a range-wide, multi-population apparent annual survival analysis for a declining songbird, Vermivora chrysoptera (Golden-winged Warbler), using data from 18 sites across its breeding and nonbreeding grounds. This Nearctic-Neotropical migrant breeds in 2 disjunct regional populations, the Great Lakes and Appalachian Mountains, which are experiencing different rates of decline. We aimed to quantify regional-, site-, and sex-specific apparent annual survival estimates to identify geographic patterns or demographic factors influencing population declines. We used simulations to assess the precision of our estimates. Our models did not reveal a substantial difference in apparent annual survival between the Great Lakes (0.41, 95% credible interval (CrI):0.31–0.50) and the Appalachian regions (0.49, 95% CrI: 0.36–0.60), as CrIs overlapped. Site-specific estimates also showed no clear differences in apparent annual survival among sites representing both regional populations. Male apparent annual survival tended to be greater than female apparent annual survival in both regions, though CrI’s overlapped. Our study suggests demographic factors other than adult annual survival likely play a larger role in recent regional and range-wide population declines, such as productivity, juvenile/immature survival, or recruitment. Simulations indicate that improving recapture probability and study duration of datasets could lead to more precise apparent annual survival estimates. However, our model produced CrI ranges comparable to the most ideal data collection scenario, suggesting the lack of trends we found was not due to variability in our estimates. We stress the importance of addressing inherent biases in survival datasets and the need for standardized collaborative efforts to inform species conservation on a range-wide scale.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf049","usgsCitation":"Filiberti, E.N., Roth, A.M., Thogmartin, W.E., Royal, E.J., Aldinger, K.R., Bennett, R.E., Buehler, D.A., Bulluck, L.P., Canterbury, R.A., Chandler, R., Clements, S.J., Fiss, C.J., Hobson, K.A., Jones, J.A., King, D., Kramer, G.R., Larkin, J.L., McNeil, D.J., Ritterson, J.D., Buckardt Thomas, A., Vallender, R., Van Wilgenburg, S.L., and Wood, P.B., 2026, Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region: Ornithology, v. 143, no. 1, p. 1-13, https://doi.org/10.1093/ornithology/ukaf049.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-177249","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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Anna","contributorId":343310,"corporation":false,"usgs":false,"family":"Buckardt Thomas","given":"Anna","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":951217,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Vallender, Rachel","contributorId":194966,"corporation":false,"usgs":false,"family":"Vallender","given":"Rachel","email":"","affiliations":[{"id":34540,"text":"Canadian Museum of Nature","active":true,"usgs":false},{"id":27312,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, 6 Bruce Street, Mount","active":true,"usgs":false}],"preferred":false,"id":951218,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Van Wilgenburg, Steven L.","contributorId":363180,"corporation":false,"usgs":false,"family":"Van Wilgenburg","given":"Steven","middleInitial":"L.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":951219,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wood, Petra B.","contributorId":305342,"corporation":false,"usgs":false,"family":"Wood","given":"Petra","email":"","middleInitial":"B.","affiliations":[{"id":66214,"text":"West Virginia Cooperative Fish and Wildlife Research Unit,","active":true,"usgs":false}],"preferred":false,"id":951220,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70274692,"text":"70274692 - 2026 - Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","interactions":[],"lastModifiedDate":"2026-04-06T14:07:36.785359","indexId":"70274692","displayToPublicDate":"2025-10-25T09:04:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","docAbstract":"Understanding how riverscape features influence gene flow is critical for managing population connectivity in freshwater species. We examined how landscape and stream characteristics shape the spatial genetic structure of nonnative Brook Trout Salvelinus fontinalis in a headwater stream network proposed for reintroduction of federally threatened Greenback Cutthroat Trout Oncorhynchus virginalis stomias. Brook Trout were studied to evaluate the suitability of this habitat for supporting a native trout metapopulation.
We genotyped 757 Brook Trout from 22 sites across a 60-km stream network using 12 microsatellite loci. Spatial genetic structure was assessed using clustering analysis (program STRUCTURE) and pairwise differentiation metrics (FST and Jost’s D). A spatial network modeling approach was used to quantify the effects of riverscape features (e.g., stream gradient, stream order, waterfalls, and flow direction) on trout gene flow.
Genetic clustering identified four distinct tributary groups, while estimates of pairwise genetic differentiation indicated some genetic connectivity across the network (mean FST = 0.04; mean Jost’s D = 0.06). Trout gene flow was impeded by waterfalls, steep stream gradients, and increased hydrologic distance. Higher stream order and downstream flow direction were associated with stronger gene flow, and stream segments containing waterfalls and steeper gradients showed greater asymmetries between upstream and downstream gene flow.
Brook Trout populations in this stream network are spatially structured, but gene flow persists and is mediated by physical riverscape features and hydrologic distance. The observed patterns of genetic connectivity suggest that this habitat can support connectivity among populations of reintroduced Greenback Cutthroat Trout. In future native trout reintroduction efforts, prioritizing habitats with gradual stream gradients and fewer waterfalls would promote population connectivity.
Daytime water quality was determined monthly over two years in an instream series of four urban reservoirs with recurring blooms of Prymnesium parvum—a cool-season toxigenic species. Temperature, pH, and laboratory-measured total alkalinity were used to estimate pCO2. System-wide, pCO2 was negatively associated with dissolved oxygen. Chlorophyll-a, phycocyanin (cyanobacterial pigment), and P. parvum were negatively associated with pCO2 and positively with dissolved oxygen. Three reservoirs were productive and, during daytime, pCO2-undersaturated year-round or near-year-round, while a fourth (third in the series) was unproductive and mostly pCO2-oversaturated. Seasonal phycocyanin and chlorophyll-a patterns indicated that cyanobacterial and eukaryotic (P. parvum included) phytoplankton growth drives daytime CO2 depletion in the productive reservoirs during the warm and cool seasons, respectively. The system’s moderate alkalinity (HCO3−) may serve as an alternative carbon source for photosynthesis; however, the persistent depletion of CO2 and the energetic cost of using HCO3− are consistent with a scenario where phytoplankton growth is CO2-limited. Daytime pCO2 undersaturation across seasons has been rarely reported, but this study indicated it occurs more often than recognized. The non-monotonic spatial patterns in productivity and carbonate system conditions across the study reservoirs indicate that localized influences from a heterogeneous urban landscape may help shape individual lake metabolism.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2025.2544581","usgsCitation":"Patino, R., and Lehker, S., 2026, Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms: Inland Waters, v. 16, no. 1, 2544581, 15 p., https://doi.org/10.1080/20442041.2025.2544581.","productDescription":"2544581, 15 p.","ipdsId":"IP-171218","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502565,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":496823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Lubbock","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.93988097783505,\n 33.64162038185367\n ],\n [\n -101.93988097783505,\n 33.52159454590185\n ],\n [\n -101.77150820869511,\n 33.52159454590185\n ],\n [\n -101.77150820869511,\n 33.64162038185367\n ],\n [\n -101.93988097783505,\n 33.64162038185367\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehker, Samantha","contributorId":362957,"corporation":false,"usgs":false,"family":"Lehker","given":"Samantha","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":950879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272053,"text":"70272053 - 2026 - Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","interactions":[],"lastModifiedDate":"2025-11-14T16:30:36.885339","indexId":"70272053","displayToPublicDate":"2025-10-21T08:35:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","docAbstract":"The West and Central African Rift System (WCARS) refers to the series of Cretaceous rift basins where commercial hydrocarbon accumulations have been discovered. Some of the WCARS frontier basins are currently being investigated to increase our understanding of these basins in light of new commercial discoveries. The present study was performed in the Babouri-Figuil Basin (BFB), which is genetically related to the WCARS and constitutes an area of interest in terms of petroleum prospecting, where the distribution of petroleum source rocks and potential targets for petroleum exploration across the entire basin is poorly understood. For the current study, an integrated facies analysis along with organic and inorganic geochemical techniques were applied to the basin's Cretaceous deposits with the aim of reconstructing the paleodepositional environment, assessing factors that triggered the input of organic matter, and providing a spatial overview of the organic matter accumulation in the basin based on outcrop samples. An alluvial fan-lacustrine-braided river system is inferred from the facies analysis of the stratigraphic sequence consisting of conglomerate, sandstone, siltstone, limestone, marlstone, and claystone. Bulk analysis of organic matter reveals that black shale and massive claystone are the main prospective petroleum source rocks in the basin. Inorganic geochemical analyses reveal the influence of anoxic conditions, moderate to high primary productivity, and low terrigenous inputs in organic matter enrichment. The formations rich in organic matter are predominantly concentrated in the western and eastern parts of the basin which may represent areas with depressions, characterized by high accommodation space. In terms of the regional context of the WCARS rift basins, typical hydrocarbon exploration in the BFB may target basal-conglomerate, sandstone beds situated directly above or/and interbedded with the Lower Cretaceous source rocks, and the Upper Cretaceous sandstone beds. Basement rocks (granite, granodiorite, and gneisses) and oil shale deposits may represent potential unconventional hydrocarbon exploration. The current integrated study provides an insight that should guide future hydrocarbon exploration campaigns in the basin.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2025.105894","usgsCitation":"Manga, W.G., Hackley, P.C., Bessong, M., Hatcherian, J.J., Ashukem, E.K., Guedala, A., Meying, A., and Samankassou, E., 2026, Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration: Journal of African Earth Sciences, v. 233, 105894, 16 p., https://doi.org/10.1016/j.jafrearsci.2025.105894.","productDescription":"105894, 16 p.","ipdsId":"IP-171940","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":502413,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archive-ouverte.unige.ch/unige:188567","text":"External Repository"},{"id":496494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","otherGeospatial":"Babouri-Figuil basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.667,\n 9.85\n ],\n [\n 13.667,\n 9.6333\n ],\n [\n 14.0333,\n 9.6333\n ],\n [\n 14.0333,\n 9.85\n ],\n [\n 13.667,\n 9.85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"233","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manga, William Gaspard O.","contributorId":352997,"corporation":false,"usgs":false,"family":"Manga","given":"William","middleInitial":"Gaspard O.","affiliations":[{"id":84323,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bessong, Moïse","contributorId":352998,"corporation":false,"usgs":false,"family":"Bessong","given":"Moïse","affiliations":[{"id":84324,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":949926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ashukem, Ethel K.","contributorId":362067,"corporation":false,"usgs":false,"family":"Ashukem","given":"Ethel","middleInitial":"K.","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guedala, Alifa","contributorId":353000,"corporation":false,"usgs":false,"family":"Guedala","given":"Alifa","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meying, Arsène","contributorId":353001,"corporation":false,"usgs":false,"family":"Meying","given":"Arsène","affiliations":[{"id":84328,"text":"School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Samankassou, Elias","contributorId":353002,"corporation":false,"usgs":false,"family":"Samankassou","given":"Elias","affiliations":[{"id":84329,"text":"Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949930,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274003,"text":"70274003 - 2026 - Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal","interactions":[],"lastModifiedDate":"2026-03-09T14:52:02.089844","indexId":"70274003","displayToPublicDate":"2025-10-18T08:46:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal","docAbstract":"1. Energetic acquisition and growth are key traits that affect demography and life-history strategies. Many animals that live in seasonal environments in which food availability fluctuates store energy endogenously as fat in anticipation of food shortage. Fat-storing mammalian hibernators are an extreme example of this strategy where the optimal resolution of resource allocation trade-offs is essential to survival. Hence, these species provide an opportunity to test potential causes and consequences of seasonal body mass dynamics.
2. We used a 12-year dataset with 8753 body mass records from 3351 individually marked northern Idaho ground squirrels (Urocitellus brunneus) – a federally threatened hibernator – to meet three objectives: (1) document seasonal body mass changes by sex, age, and reproductive status, (2) test ecological hypotheses to explain spatiotemporal variation in body mass, and (3) document fitness consequences of pre-hibernation body condition via condition-dependent overwinter survival.
3. Squirrels varied substantially in seasonal body mass dynamics. The magnitude (36-155%) and onset (late May to early July) of rapid active-season mass gain varied among demographic groups. Reproductive females acquired the necessary fat stores to survive hibernation later in the active season than did males and non-reproductive females. Moreover, squirrels with better pre-hibernation body condition were more likely to survive to the subsequent year, potentially because they allocated excess energetic reserves to prolonging hibernation via early immergence and thereby reduced predation risk. These results suggest a direct trade-off between current and future reproduction mediated by resource acquisition and allocation, as predicted by life-history theory.
4. Colder active-season temperatures and lower conspecific densities negatively influenced squirrel body condition, possibly via reductions in foraging activity associated with those conditions. These ecological effects on body condition constrain resource allocation and demographic outcomes. As such, our results can help guide research and conservation strategies to benefit hibernating animals.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.70160","usgsCitation":"Allison, A.Z., Conway, C.J., Goldberg, A.R., Morris, A.E., and Hakanson, E.C., 2026, Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal: Journal of Animal Ecology, v. 95, no. 3, p. 383-396, https://doi.org/10.1111/1365-2656.70160.","productDescription":"14 p.","startPage":"383","endPage":"396","ipdsId":"IP-178391","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500344,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.70160","text":"Publisher Index Page"}],"country":"United States","state":"Idaho","otherGeospatial":"northern Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.01727912063691,\n 48.949849031406984\n ],\n [\n -117.06550577544263,\n 45.77432685387063\n ],\n [\n -115.45669769129175,\n 45.603498147742044\n ],\n [\n -114.14771203572005,\n 46.038667434519695\n ],\n [\n -114.10553430532104,\n 46.61453544078449\n ],\n [\n -115.60028001696853,\n 47.5696411418145\n ],\n [\n -115.99924647829263,\n 47.875315792205775\n ],\n [\n -116.04207182244672,\n 49.00063541966966\n ],\n [\n -117.01727912063691,\n 48.949849031406984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin Z.T.","contributorId":366617,"corporation":false,"usgs":false,"family":"Allison","given":"Austin","middleInitial":"Z.T.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Amanda R.","contributorId":366618,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Alice E.","contributorId":366619,"corporation":false,"usgs":false,"family":"Morris","given":"Alice","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hakanson, Emma C.","contributorId":366620,"corporation":false,"usgs":false,"family":"Hakanson","given":"Emma","middleInitial":"C.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}