Objective
Biological monitoring is a major component of management decisions and operating budgets of many natural resource management agencies. Given the scientific and financial commitments to monitoring, it is critical to estimate the ability to detect trends through time (i.e., power).
Methods
The Georgia Department of Natural Resources has monitored reservoir sport fish populations since the 1980s. We estimated the power to detect simulated long-term (≥10 years) changes in relative abundance (CPUE) for Largemouth Bass (some of which are a potential genetic admixture of the recently described species Micropterus nigricans [now known as Largemouth Bass] and M. salmoides [now known as Florida Bass)] and Black Crappie Pomoxis nigromaculatus sampled with electrofishing and gill nets, respectively, across multiple reservoirs (n = 21). Reservoir-specific simulations were parameterized using 13 years (∼2010–2022) of monitoring data. Power was calculated as the proportion of simulations (n = 1,000) resulting in significant (P ≤ 0.1) temporal trends across a 10-year period. We considered power ≥0.8 (i.e., 80% of simulations with significant trends) as the threshold for sufficient power across reservoirs. For both species, we estimated power under three scenarios: (1) declining CPUE, (2) increasing CPUE, and (3) reduction to biennial sampling effort with a 50% decline in CPUE.
Results
Most reservoirs had sufficient power to detect either a 50% decline or a 100% increase in CPUE of Largemouth Bass across a 10-year period. Switching from annual to biennial sampling for Largemouth Bass reduced the number of reservoirs with sufficient power by half. Power was generally lower for Black Crappie until larger declines (75%) or increases (400%) were imposed.
Conclusions
We found that Largemouth Bass monitoring was generally near or beyond our reference threshold, but post hoc correlation analyses suggested that the power of Black Crappie data could be increased with more within-reservoir station replication. Overall, using data simulation to estimate power proved a valuable tool in assessing the potential ability of common monitoring approaches to detect change.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf117","usgsCitation":"Simon, T.N., Robinson, K., and Irwin, B., 2026, Estimating the power of a standardized monitoring program for sportfish in Georgia, USA: North American Journal of Fisheries Management, v. 46, no. 2, p. 300-317, https://doi.org/10.1093/najfmt/vqaf117.","productDescription":"18 p.","startPage":"300","endPage":"317","ipdsId":"IP-179756","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502003,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502068,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/najfmt/vqaf117","text":"Publisher Index Page"}],"country":"United 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\"}}]}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Simon, Troy N.","contributorId":369150,"corporation":false,"usgs":false,"family":"Simon","given":"Troy","middleInitial":"N.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Kelly F.","contributorId":44911,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274082,"text":"70274082 - 2026 - Microtextural characteristics of adularia in banded quartz veins from the Midas low-sulfidation epithermal deposit, Nevada","interactions":[],"lastModifiedDate":"2026-02-24T15:17:01.539054","indexId":"70274082","displayToPublicDate":"2026-01-22T08:11:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Microtextural characteristics of adularia in banded quartz veins from the Midas low-sulfidation epithermal deposit, Nevada","docAbstract":"High-grade ores at the Miocene Midas low-sulfidation epithermal deposit in northern Nevada are confined to crustiform quartz veins containing abundant adularia. Micro-X-ray fluorescence elemental mapping reveals that adularia is a common gangue mineral occurring in colloform bands, bands showing bladed textures, and bands with dendritic terminations. The adularia aggregates have delicate shapes and are comprised of stacked, submillimeter crystals hosted by fine-grained quartz. The textural evidence suggests that the adularia aggregates originally formed within a gel-like, noncrystalline silica matrix, which subsequently transformed into quartz. This indicates that the adularia did not precipitate in open space along the vein walls. Correlative microscopy, involving scanning electron microscopy-based automated mineralogy and optical petrography, demonstrates that bands containing abundant adularia are not the primary host to ore minerals. The ore minerals occur in different bands within the crustiform veins, implying that adularia and ore mineral precipitation did not always occur simultaneously. It is hypothesized here that fluid flow at Midas involved intermittent short-lived events of fluid flashing, causing rapid solute supersaturation in the liquid. During each flashing event, different amounts of vapor were produced along a given vein. Compositional differences between adjacent bands in the crustiform quartz veins may, therefore, be linked to variations in the amount of vapor formed during each flash event.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-026-01430-x","usgsCitation":"Terry, L.R., Monecke, T., Reynolds, T., Kasprowicz, F., Pfaff, K.I., 2026, Microtextural characteristics of adularia in banded quartz veins from the Midas low-sulfidation epithermal deposit, Nevada: Mineralium Deposita, https://doi.org/10.1007/s00126-026-01430-x.","ipdsId":"IP-174519","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":500478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.17483422284687,\n 42.06209612968607\n ],\n [\n -119.92325247256808,\n 39.09238860917903\n ],\n [\n -114.82956135832953,\n 35.02309662905567\n ],\n [\n -114.86591889824984,\n 36.023284603589886\n ],\n [\n -114.04429635880452,\n 36.24468483051718\n ],\n [\n -113.99726749082308,\n 41.953759038434214\n ],\n [\n -120.17483422284687,\n 42.06209612968607\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Lauren R.","contributorId":361465,"corporation":false,"usgs":false,"family":"Terry","given":"Lauren","middleInitial":"R.","affiliations":[{"id":86290,"text":"Center to Advance the Science of Exploration to Reclamation in Mining, Department of Geology and Geological Engineering, Colorado School of Mines, Golden, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":956486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monecke, Thomas","contributorId":173585,"corporation":false,"usgs":false,"family":"Monecke","given":"Thomas","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":956487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, T. James","contributorId":366972,"corporation":false,"usgs":false,"family":"Reynolds","given":"T. James","affiliations":[{"id":39908,"text":"FLUID INC.","active":true,"usgs":false}],"preferred":false,"id":956488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasprowicz, Filip","contributorId":363040,"corporation":false,"usgs":false,"family":"Kasprowicz","given":"Filip","affiliations":[{"id":86594,"text":"Center to Advance the Science of Exploration to Reclamation in Mining, Department of Geology and Geological Engineering, Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":956489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pfaff, Katharina I. 0000-0002-6605-2722","orcid":"https://orcid.org/0000-0002-6605-2722","contributorId":362430,"corporation":false,"usgs":true,"family":"Pfaff","given":"Katharina","middleInitial":"I.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":956490,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273786,"text":"70273786 - 2026 - The biosphere in the Anthropocene","interactions":[],"lastModifiedDate":"2026-01-29T14:54:21.742094","indexId":"70273786","displayToPublicDate":"2026-01-22T07:49:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23284,"text":"Transactions of the Royal Society of London","active":true,"publicationSubtype":{"id":10}},"title":"The biosphere in the Anthropocene","docAbstract":"Earth’s biosphere is in a period of rapid change, resulting from anthropogenic pressures such as climate change, habitat loss and species translocation and extinction. The extraordinary pace of change has led to the suggestion that we live in a new geological epoch of time called the Anthropocene. In this theme issue, we explore the major changes to the terrestrial and marine biospheres, from the deep oceans to the agricultural landscapes of the Anthropocene. We take a deliberately pluralistic approach that represents different viewpoints from the sciences and social sciences, examining our negative and sometimes calamitous impacts on species and ecosystems and our potential for positive interactions with the biosphere, and exploring change over millennia.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2024.0416","usgsCitation":"Williams, M., McGann, M., Yasuhara, M., Chaudhary, C., Barber, L., and Allen, K., 2026, The biosphere in the Anthropocene: Transactions of the Royal Society of London, v. 381, no. 1942, 20240416, 5 p., https://doi.org/10.1098/rstb.2024.0416.","productDescription":"20240416, 5 p.","ipdsId":"IP-183696","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2024.0416","text":"Publisher Index Page"},{"id":499223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"381","issue":"1942","noUsgsAuthors":false,"publicationDate":"2026-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Mark","contributorId":214696,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":954785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGann, Mary L. 0000-0002-3057-2945","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":354828,"corporation":false,"usgs":false,"family":"McGann","given":"Mary L.","affiliations":[{"id":84675,"text":"Formerly USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":954786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yasuhara, Moriaki","contributorId":178705,"corporation":false,"usgs":false,"family":"Yasuhara","given":"Moriaki","email":"","affiliations":[],"preferred":false,"id":954787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaudhary, Chhaya","contributorId":365784,"corporation":false,"usgs":false,"family":"Chaudhary","given":"Chhaya","affiliations":[{"id":87219,"text":"Universität Hamburg, Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":954788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barber, Lisa","contributorId":365785,"corporation":false,"usgs":false,"family":"Barber","given":"Lisa","affiliations":[{"id":81499,"text":"University of Leicester, Leicester, UK","active":true,"usgs":false}],"preferred":false,"id":954789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Kerry","contributorId":365786,"corporation":false,"usgs":false,"family":"Allen","given":"Kerry","affiliations":[{"id":81499,"text":"University of Leicester, Leicester, UK","active":true,"usgs":false}],"preferred":false,"id":954790,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273273,"text":"sim3542 - 2026 - Bedrock geologic map of the Eagle Lake quadrangle, Essex County, New York","interactions":[],"lastModifiedDate":"2026-02-03T17:09:44.672869","indexId":"sim3542","displayToPublicDate":"2026-01-21T19:43:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3542","displayTitle":"Bedrock Geologic Map of the Eagle Lake Quadrangle, Essex County, New York","title":"Bedrock geologic map of the Eagle Lake quadrangle, Essex County, New York","docAbstract":"The bedrock geology of the 7.5-minute Eagle Lake quadrangle, Essex County, New York, consists of deformed and metamorphosed Mesoproterozoic gneisses of the Adirondack Highlands unconformably overlain by weakly deformed lower Paleozoic sedimentary rocks of the Champlain Valley. The Mesoproterozoic rocks occur on the eastern edge of the Adirondack Highlands and represent an extension of the Grenville Province of Laurentia. Granulite facies Mesoproterozoic paragneiss, marble, and amphibolite hosted the emplacement of an anorthosite-mangerite-charnockite-granite (AMCG) suite, now exposed mostly as orthogneiss, at approximately 1.18–1.15 giga-annum (Ga, billion years before present). The earliest of four phases of deformation (D1) predated AMCG magmatism and is characterized by gneissosity, rarely preserved F1 isoclinal folds, and migmatite in the paragneiss host rocks. A sample of hornblende quartz syenite from the AMCG suite, collected from an abandoned railroad cut on Old Furnace Road, yielded a U-Pb zircon age of 1,149±10 million years before present. D2 deformation produced a composite penetrative gneissosity, migmatite, and isoclinal F2 folds. Towards the end of D2, felsic magmatism (including the regionally extensive Lyon Mountain Granite Gneiss, abbreviated “LMG”) spread by penetrative migration as semiconcordant alkali feldspar granite sheets subparallel to S2 into the previously deformed lithologies. The LMG crystallized at approximately 1.15 to 1.14 Ga and displays synkinematic F2 folds thus constraining the time of D2 deformation. Exhumation of the Marcy anorthosite began during D3 along a mylonitic extensional detachment, as a type of core complex. Protracted D3 produced F3 folds exhibited in regional domes and basins, such as the Hammondville antiform, reactivation of the S2 foliation, partial melting, metamorphism, metasomatism, iron ore remobilization, and intrusion of magnetite-bearing pegmatite both as layer-parallel sills and crosscutting dikes. D4 created NE- and NW-trending boudinage, local high-grade ductile shear zones, and crosscutting granitic pegmatite dikes. Kilometer (km)-scale lineaments readily observed in lidar data are Ediacaran mafic dikes and Phanerozoic brittle faults. Lower Paleozoic rocks are part of the Early Cambrian to Late Ordovician great American carbonate bank on the ancient margin of Laurentia. The Potsdam Sandstone preserves the Cambrian stratigraphy in outliers above the Great Unconformity. The Paleozoic rocks are weakly folded and block faulted. Parts of the quadrangle are covered by undifferentiated glacial deposits, but much of the quadrangle contains only a variably thick, veneer of unmapped glacial till over significant areas of exposed bedrock. The map also shows waste rock piles and locations of historical mining operations. This study was undertaken to improve our understanding of the bedrock geology in the Adirondack Highlands, establish a modern framework for 1:24,000-scale bedrock geologic mapping in the Adirondack Mountains, and provide a modern context for historical mines. This Scientific Investigations Map of the Eagle Lake 7.5-minute quadrangle consists of a map sheet, an explanatory pamphlet, and a geographic information system database that includes bedrock geologic units, faults, outcrops, and structural geologic information. The map sheet includes a bedrock geologic map, a correlation of map units, a description of map units, an explanation of map symbols, and two cross sections. The explanatory pamphlet includes a discussion of the geology.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3542","collaboration":"Prepared in cooperation with the State of New York, Department of Education, New York Geological Survey","usgsCitation":"Walsh, G.J., Regan, S.P., Geer, P.S., Merschat, A.J., Suarez, K.A., McAleer, R.J., Walton, M.S., Jr., and Crider, E.A., Jr., 2026, Bedrock geologic map of the Eagle Lake quadrangle, Essex County, New York: U.S. Geological Survey Scientific Investigations Map 3542, 1 sheet, scale 1:24,000, 57-p. pamphlet, https://doi.org/10.3133/sim3542.","productDescription":"Pamphlet: ix, 57 p.; 1 Sheet: 63.43 x 35.22 inches; Data Release","numberOfPages":"57","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-151166","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":498080,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3542/coverthb.jpg"},{"id":498081,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3542/sim3542_pamphlet.pdf","size":"10.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3542 Pamphlet"},{"id":498752,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3542/sim3542_pamphlet.XML","description":"SIM 3542 XML"},{"id":498753,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D6XYEL","text":"USGS data release","linkHelpText":"Database for the bedrock geologic map of the Eagle Lake quadrangle, Essex County, New York"},{"id":498867,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119158.htm","linkFileType":{"id":5,"text":"html"}},{"id":498751,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3542/sim3542_sheet.pdf","size":"56.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3542 Sheet"}],"country":"United States","state":"New York","otherGeospatial":"Eagle Lake quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.625,\n 44\n ],\n [\n -73.625,\n 43.875\n ],\n [\n -73.5,\n 43.875\n ],\n [\n -73.5,\n 44\n ],\n [\n -73.625,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Florence Bascom Geoscience Center
U.S. Geological Survey
926A National Center
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The U.S. Geological Survey mapped the bedrock geology of the 7.5-minute Eagle Lake quadrangle, Essex County, New York, to establish a framework for 1:24,000-scale detailed bedrock geologic mapping in the Adirondack Mountains, and provide a modern context for historical iron, graphite, and feldspar mines that operated in the 1800s. The report includes the most detailed 1:24,000-scale bedrock geologic map ever published in the Adirondack Mountains. The region is underlain by highly complex Precambrian igneous and metamorphic rocks that range in age from about 1.2 to 1.0 billion years old. The high quality of the naturally occurring mineral magnetite extracted from local iron mines led to the first use of an electric motor in Ironville, proclaimed to be the birthplace of the electric age. Abandoned iron and pegmatite mines locally contain elevated abundances of rare earth elements; some of the deposits have elevated natural radioactivity above background concentrations.
","publicationDate":"2026-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":355444,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":952978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regan, Sean P. 0000-0002-8445-5138","orcid":"https://orcid.org/0000-0002-8445-5138","contributorId":360816,"corporation":false,"usgs":false,"family":"Regan","given":"Sean","middleInitial":"P.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":952979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geer, Phillip S.","contributorId":364641,"corporation":false,"usgs":false,"family":"Geer","given":"Phillip","middleInitial":"S.","affiliations":[{"id":83490,"text":"University of Massachusetts, Amherst, Mass.","active":true,"usgs":false}],"preferred":false,"id":952980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":952981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suarez, Kaitlyn A. 0000-0003-4133-3074","orcid":"https://orcid.org/0000-0003-4133-3074","contributorId":224240,"corporation":false,"usgs":false,"family":"Suarez","given":"Kaitlyn","middleInitial":"A.","affiliations":[{"id":33634,"text":"University of Massachusetts at Amherst","active":true,"usgs":false}],"preferred":false,"id":952982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":952983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walton,, Matt S. Jr.","contributorId":364642,"corporation":false,"usgs":false,"family":"Walton,","given":"Matt","suffix":"Jr.","middleInitial":"S.","affiliations":[{"id":29853,"text":"Yale University, New Haven, Conn.","active":true,"usgs":false}],"preferred":false,"id":952984,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crider,, E. Allen Jr. 0000-0003-2393-5290 ecrider@usgs.gov","orcid":"https://orcid.org/0000-0003-2393-5290","contributorId":203507,"corporation":false,"usgs":true,"family":"Crider,","given":"E. Allen","suffix":"Jr.","email":"ecrider@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":952985,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273704,"text":"70273704 - 2026 - An energetic tradeoff best explains parturition timing in grizzly bears","interactions":[],"lastModifiedDate":"2026-01-23T15:24:10.860219","indexId":"70273704","displayToPublicDate":"2026-01-21T09:14:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"An energetic tradeoff best explains parturition timing in grizzly bears","docAbstract":"Timing of grizzly bear (Ursus arctos) parturition during hibernation has been explained by ancestral traits (delayed implantation, altricial young, obligate maternal denning), but the ultimate driver underlying precise timing has not been fully explored. Capitalizing on an observed latitudinal increase in denning duration among four populations in interior North America, we tested two alternative hypotheses. First, that birth timing results from a physiological cue that synchronizes implantation with the onset of hibernation, allowing females to forgo reproduction should they lack adequate fat stores. Alternatively, that parturition is optimally timed relative to den exit to balance an energetic tradeoff between minimizing lactation time to protect the mother and maximizing developmental time to increase cub survival. Using parturition dates previously predicted from accelerometer data (27 Dec–28 Feb), we classified 115 females according to apparent litter survival when first visually observed after den exit: 57% successful (with cubs), 22% unsuccessful (alone), and 21% unknown (not observed). The number of days between birth and den exit showed no association with latitude (p = 0.29). It averaged 103 days among successful females but only 77 days among unsuccessful females (p < 0.001) owing to later births and earlier exit. With each increasing degree of latitude, birth date increased by 1.0 and number of days between den entry and birth increased by 2.5 (p < 0.001). Implantation dates were not centered on den entry dates (p < 0.001). These results supported the energetic tradeoff hypothesis and suggested natural selection has favored a consistent number of days between parturition and den exit under average body conditions and shifts toward later or earlier births for females with lower or higher levels of bodily stored energy, respectively. This flexible tradeoff may support resilience to climate change and present a possible mechanism explaining reduced natality and cub survival in high-density populations.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72914","usgsCitation":"Costello, C.M., Roberts, L., Bjornlie, D.D., Cameron, M.D., Clapp, J.G., Haroldson, M., Hilderbrand, G.V., Joly, K., Kasworm, W., Nicholson, J.M., Radandt, T., Sorum, M.S., Teisberg, J.E., van Manen, F.T., and Vinks, M.A., 2026, An energetic tradeoff best explains parturition timing in grizzly bears: Ecology and Evolution, v. 16, no. 1, e72914, 12 p., https://doi.org/10.1002/ece3.72914.","productDescription":"e72914, 12 p.","ipdsId":"IP-180106","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72914","text":"Publisher Index Page"},{"id":498992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Idaho, Montana, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -162.45792781080903,\n 68.91031809670773\n ],\n [\n -162.45792781080903,\n 65.1797348577656\n ],\n [\n -141.25015661377543,\n 65.1797348577656\n ],\n [\n -141.25015661377543,\n 68.91031809670773\n ],\n [\n -162.45792781080903,\n 68.91031809670773\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.66121434291338,\n 45.570585569366614\n ],\n [\n -111.66121434291338,\n 42.9324586570242\n ],\n [\n -108.49816630387593,\n 42.9324586570242\n ],\n [\n -108.49816630387593,\n 45.570585569366614\n ],\n [\n -111.66121434291338,\n 45.570585569366614\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.00477942846378,\n 51.17475366345599\n ],\n [\n -118.00477942846378,\n 47.24972185538144\n ],\n [\n -113.69327860666921,\n 47.24972185538144\n ],\n [\n -113.69327860666921,\n 51.17475366345599\n ],\n [\n -118.00477942846378,\n 51.17475366345599\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Costello, C. M.","contributorId":365493,"corporation":false,"usgs":false,"family":"Costello","given":"C.","middleInitial":"M.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":954346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, L. L.","contributorId":328406,"corporation":false,"usgs":false,"family":"Roberts","given":"L. L.","affiliations":[],"preferred":false,"id":954347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjornlie, D. D.","contributorId":365496,"corporation":false,"usgs":false,"family":"Bjornlie","given":"D.","middleInitial":"D.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":954348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cameron, M. 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V.","contributorId":365505,"corporation":false,"usgs":false,"family":"Hilderbrand","given":"G.","middleInitial":"V.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":954352,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Joly, K.","contributorId":317707,"corporation":false,"usgs":false,"family":"Joly","given":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":954353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kasworm, W.","contributorId":365508,"corporation":false,"usgs":false,"family":"Kasworm","given":"W.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicholson, J. M.","contributorId":365509,"corporation":false,"usgs":false,"family":"Nicholson","given":"J.","middleInitial":"M.","affiliations":[{"id":35764,"text":"Idaho Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":954355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Radandt, T.","contributorId":365512,"corporation":false,"usgs":false,"family":"Radandt","given":"T.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954356,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sorum, M. S.","contributorId":365513,"corporation":false,"usgs":false,"family":"Sorum","given":"M.","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":954357,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Teisberg, J. E.","contributorId":365515,"corporation":false,"usgs":false,"family":"Teisberg","given":"J.","middleInitial":"E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954358,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":954359,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vinks, M. A.","contributorId":365519,"corporation":false,"usgs":false,"family":"Vinks","given":"M.","middleInitial":"A.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":954360,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70275559,"text":"70275559 - 2026 - Timing the tuxedo transformation: Moult phenology reflects breeding investment and intrinsic constraints in Adélie penguins","interactions":[],"lastModifiedDate":"2026-05-05T13:35:17.101177","indexId":"70275559","displayToPublicDate":"2026-01-21T08:53:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Timing the tuxedo transformation: Moult phenology reflects breeding investment and intrinsic constraints in Adélie penguins","docAbstract":"Vertebrate life histories are often divided into distinct periods, with the breeding season typically receiving the most research attention. For polar seabirds, non-breeding phases like moult remain understudied, despite their importance for survival and overall fitness. Adélie penguins (Pygoscelis adeliae) replace their highly specialized feathers during an approximately 19-day annual moult, typically carried out while fasting on sea ice. The required fast and elevated metabolic rate may create a significant energetic bottleneck. We analysed data from geolocating dive recorders deployed on known-age Adélie penguins and non-known-age pairs from two Ross Island colonies over three winters (2017–2019). Moult start date was influenced by breeding success, intrinsic factors (age, sex) and extrinsic factors (year), with males, older birds and successful breeders moulting later. Moult duration varied primarily with individual ID, though later initiation correlated with shorter duration, particularly when located further south. Moult duration was longer in the western Ross Sea, a region that was used exclusively by males. The association between moult start date and duration may lead to differential sex and breeding status effects, with older males more likely to face a trade-off between successful breeding and self-maintenance tasks like feather replacement.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2025.1838","usgsCitation":"Schmidt, A.E., Lescroël, A., Lisovski, S., Elrod, M., Dugger, K.M., Pennycook, J., Ainley, D.G., and Ballard, G., 2026, Timing the tuxedo transformation: Moult phenology reflects breeding investment and intrinsic constraints in Adélie penguins: Proceedings of the Royal Society B, v. 293, no. 2063, 20251838, 12 p., https://doi.org/10.1098/rspb.2025.1838.","productDescription":"20251838, 12 p.","ipdsId":"IP-181579","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":504176,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2025.1838","text":"Publisher Index Page"},{"id":503944,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Ross Island, Antarctica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -196.9861526607051,\n -76.9305625531832\n ],\n [\n -196.9861526607051,\n -78.09121614805257\n ],\n [\n -193.31077981011606,\n -78.09121614805257\n ],\n [\n -193.31077981011606,\n -76.9305625531832\n ],\n [\n -196.9861526607051,\n -76.9305625531832\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"293","issue":"2063","noUsgsAuthors":false,"publicationDate":"2026-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Annie E.","contributorId":371015,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","middleInitial":"E.","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":960878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lescroël, Amélie","contributorId":337935,"corporation":false,"usgs":false,"family":"Lescroël","given":"Amélie","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":960879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisovski, Simeon","contributorId":337936,"corporation":false,"usgs":false,"family":"Lisovski","given":"Simeon","affiliations":[{"id":62783,"text":"Alfred Wegener Institute","active":true,"usgs":false}],"preferred":false,"id":960880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elrod, Megan","contributorId":337937,"corporation":false,"usgs":false,"family":"Elrod","given":"Megan","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":960881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pennycook, Jean","contributorId":275904,"corporation":false,"usgs":false,"family":"Pennycook","given":"Jean","email":"","affiliations":[{"id":56908,"text":"ht assoc","active":true,"usgs":false}],"preferred":false,"id":960883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ainley, David G.","contributorId":275713,"corporation":false,"usgs":false,"family":"Ainley","given":"David","middleInitial":"G.","affiliations":[{"id":56884,"text":"htha","active":true,"usgs":false}],"preferred":false,"id":960884,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ballard, Grant","contributorId":337939,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":960885,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273409,"text":"ofr20251057 - 2026 - Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2020–24 summary report","interactions":[],"lastModifiedDate":"2026-02-03T17:09:16.100992","indexId":"ofr20251057","displayToPublicDate":"2026-01-21T07:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1057","displayTitle":"Distribution, Abundance, Breeding Activities, and Habitat Use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2020–24 Summary Report","title":"Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2020–24 summary report","docAbstract":"The purpose of this report is to provide the Marine Corps with a summary of abundance, breeding activity, demography, and habitat use of endangered Least Bell’s Vireos (Vireo bellii pusillus) at Marine Corps Base Camp Pendleton, California (MCBCP or Base). The report presents results of vireo surveys and monitoring in 2024 and summarizes a subset of data collected from 2020 through 2024. Surveys for the Least Bell's Vireo were completed at MCBCP between April 4 and July 9, 2024. Core survey areas and a subset of non-core areas in drainages containing riparian habitat suitable for vireos were surveyed two to four times. We detected 542 territorial male vireos and 17 transient vireos in core survey areas. An additional 102 territorial male vireos and 2 transients were detected in non-core survey areas. Transient vireos were detected on 5 of the 10 drainages/sites surveyed (core and non-core areas). In core survey areas, 87 percent of vireo territories were on the four most populated drainages, with the Santa Margarita River containing 67 percent of all territories in core areas surveyed on Base. In core areas, 77 percent of male vireos were confirmed as paired; 76 percent of male vireos in non-core areas were confirmed as paired.
The number of documented Least Bell’s Vireo territories in core survey areas on MCBCP decreased 3 percent from 2023. In five core survey area drainages, the number of territories increased by at least two, and in two core survey area drainages, the Santa Margarita River and Las Flores Creek, the number of vireo territories decreased by at least nine between 2023 and 2024. The number of vireo territories at Marine Corps Air Station, Camp Pendleton did not change from 2023 to 2024. The proportion of surveys during which Brown-headed Cowbirds (Molothrus ater) were detected decreased to 0.03 from a peak of 0.45 in 2022. Cowbirds were detected in April and June in 2024.
Most core-area vireos (58 percent, including transients) used mixed willow (Salix spp.) riparian habitat. An additional 9 percent of birds occupied willow habitat co-dominated by Western sycamores (Platanus racemosa). Riparian scrub dominated by mule fat (Baccharis salicifolia), sandbar willow (S. exigua), or blue elderberry (Sambucus mexicana) was used by 33 percent of vireos. Habitat dominated by non-native vegetation was used by 1 percent of vireos.
Since 2020, the number of vireos detected in each of the non-core survey groups was greater than expected, based on the change in vireo numbers in core survey areas. Although, the number of vireo territories on Base decreased from 2020–24, from approximately 1,224 to approximately 960, the trend in vireo territory numbers on Base since 2005 has been positive.
In 2019, MCBCP began operating an artificial seep along the Santa Margarita River; then, in 2021, two additional artificial seeps became operational. The artificial seeps pumped water to the surface during daylight hours starting in mid-April and ending in August each year and were designed to increase the amount of surface water to enhance Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat. Although this enhancement was designed to benefit flycatchers, few flycatchers have inhabited MCBCP, including the seep areas, within the past several years; therefore, vireos were selected as a surrogate species to determine effects of the habitat enhancement. This report presents the fifth year of annual monitoring and analyses summarizing all 5 years of vireo and vegetation response to the artificial seeps.
In 2020, we established four study sites along the Santa Margarita River, two surrounding and extending downstream from existing and proposed seep pumps at the Old Treatment Ponds and along Pump Road and two Reference sites in similar habitat downstream from the Seep sites. Seep pumps began operating at the Old Treatment Ponds in 2020 and along Pump Road in 2021. In 2023, seep pumps at the Pump Road Seep site did not function, and we recategorized that study site as Intermediate. We sampled vegetation at Seep, Intermediate, and Reference sites to determine the effects of surface-water enhancement by seep pumps. In 2024, vegetation cover was highest near the ground and decreased with increasing height. Woody vegetation made up most of the cover at all height categories. We determined that Seep and Intermediate sites differed from each other in addition to differing from Reference sites, which likely is, in part, because seep-pump operation at the Intermediate site was inconsistent compared to the Seep site. Soil saturation in 2024 was high at the Intermediate site and was associated with high native herbaceous cover and low non-native herbaceous cover. Sites differed, with the Intermediate site having more upper canopy cover in general, the Seep site having more low woody cover, and the Reference sites having more mid-canopy non-native vegetation cover.
Soil saturation significantly increased from 2020 through 2024 at the Seep site and was significantly higher at Seep and Intermediate sites than at their paired Reference sites in all years. Soil saturation likely was increased by the supplemental surface water at the Seep site. However, soil saturation at the Intermediate site was not clearly associated with seep pumps but likely affected by soil saturation at the site before seep-pump installation and flooding from high precipitation. Canopy height increased at the Intermediate site from 2020 through 2024 and increased with increasing soil saturation at the Intermediate and Reference sites. The canopy at the Seep site was shorter than at the Intermediate and Reference sites and decreased from 2020 through 2024 because tall trees were damaged and killed by shothole borer beetles (Euwallacea spp.).
We used Redundancy Analysis to discover associations among vegetation types, plant species, and other environmental variables (soil saturation, site, precipitation, and seep operation, defined as the site and year seep pumps were operating). These associations explained less than 15 percent of the variability in the vegetation, with the remaining 85 percent of variation unexplained. Generally, as soil saturation increased, understory vegetation increased and non-native cover decreased in the mid-and upper canopy. Non-native herbaceous plant species decreased in wetter soil.
The Seep site was characterized by more understory and less canopy, contrasting with the Intermediate site, which was characterized by less understory and more higher canopy cover. The addition of surface water via seep pumps or precipitation was associated with more vegetation near the ground. Higher early winter precipitation was associated with taller canopy and more woody vegetation in the upper canopy. We also created a Redundancy Analysis model isolating the components of Southwestern Willow Flycatcher habitat, as identified by Howell and others (2018). In this model, increased soil saturation resulted in increased cover of stinging nettle (Urtica dioica) and black willow (Salix gooddingii) below 3 meters (m), total cover 3–6 m, and black willow above 6 m. Cover of poison hemlock (Conium maculatum) and stinging nettle below 3 m was higher at the Seep site and lower at the Intermediate site.
Vireo territory density among the Seep, Intermediate, and Reference sites was similar before the seep pumps were installed. However, vireo territory density at Seep and Intermediate sites combined was significantly higher than at Reference sites after the seep pumps were installed.
We banded and resighted color banded vireos as part of a long-term evaluation of vireo survival, site fidelity, between-year movement, and the effect of surface-water enhancement on vireo return rate and between-year movement. We banded 164 Least Bell's Vireo nestlings during the 2024 season.
In 2024, we resighted 31 Least Bell's Vireos on Base that had been banded before the 2024 breeding season, and we were able to identify 25 of them. Of the 25 that we could identify, 24 were banded on Base and 1 was originally banded on the San Luis Rey River. Adult birds of known age ranged from 1 to 9 years old.
Base-wide survival of vireos was affected by sex, age, and year. Males had significantly higher annual survival than females (60 percent versus 47 percent, respectively). Adults had higher annual survival than first-year vireos (61 percent versus 11 percent, respectively). The return rate of adult vireos to Seep, Intermediate, or Reference sites was not affected by the original banding site (Seep versus Intermediate versus Reference).
Most returning adult vireos, predominantly males, showed strong between-year site fidelity. Of the adults present in 2023, 92 percent (all males) returned in 2024 to within 100 m of their previous territory. The average between-year movement for returning adult vireos was 0.4±0.03 kilometers (km). The average movement of first-year vireos detected in 2024 that fledged from a known nest on MCBCP in 2023 was 2.4±3.1 km.
We monitored 47 Least Bell's Vireo pairs to evaluate the effects of surface-water enhancement on nest success and breeding productivity. Breeding productivity in 2024 was similar among Seep, Intermediate, and Reference sites (2.8, 3.0, and 3.0 young fledged per pair, respectively), and the percentage of pairs that fledged at least one young was not significantly different among sites (83, 91, and 96 percent, respectively). According to the best model, daily nest survival from 2020–24 was not related to site. Other measures of breeding productivity were also similar among Seep, Intermediate, and Reference site pairs.
Between 2020 and 2024, the number of vireo fledglings produced per pair increased with increasing native herbaceous cover under 3 m and decreasing cover of all herbaceous vegetation under 5 m and was not affected by precipitation, site, or seep operation. The number of vireo fledglings produced per egg was lower at the Seep and Intermediate sites than at the Reference sites and increased with decreasing late winter precipitation, cover of poison hemlock, black mustard, non-native vegetation above 2 m, and all vegetation over 2 m. Vireo pairs at Seep and Intermediate sites were less likely to fledge young than vireo pairs at Reference sites. All vireo pairs were more likely to fledge young with less cover of poison hemlock and more cover of poison oak.
From 2020 through 2024, vireos placed their nests in 24 plant species. The most used plants in all years were willows, mostly red (S. laevigata), or arroyo (S. lasiolepis). The fate of a vireo nest (whether it successfully fledged young or not) was not affected by placement in native or non-native vegetation, by site, or by year, but nests were more likely to be successful if they were placed in woody plants than in herbaceous plants. Successful nests were placed higher in the host plant and farther from the outer edge of the nest clump than unsuccessful nests.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251057","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., Houston, A., Kus, B.E., and Mendia, S.M., 2026, Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2020–24 summary report: U.S. Geological Survey Open-File Report 2025–1057, 128 p., https://doi.org/10.3133/ofr20251057.","productDescription":"xii, 128 p.","numberOfPages":"128","onlineOnly":"Y","ipdsId":"IP-176723","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498564,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1057/images"},{"id":498563,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1057/ofr20251057.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1057 XML"},{"id":498562,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251057/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1057 HTML"},{"id":498561,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1057/ofr20251057.pdf","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1057 PDF"},{"id":498560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1057/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.5833,\n 33.5\n ],\n [\n -117.5833,\n 33.1667\n ],\n [\n -117.25,\n 33.1667\n ],\n [\n -117.25,\n 33.5\n ],\n [\n -117.5833,\n 33.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
The Cook County Precipitation Network is a set of 25 precipitation gages established within Cook County, Illinois, on approximately a 5- to 7-mile square grid and used by the U.S. Army Corps of Engineers to help account for diversions of water from Lake Michigan to the State of Illinois. The transition from the precipitation gage network operated by the Illinois State Water Survey to the precipitation gage network operated by the U.S. Geological Survey (USGS) was compared for periods of overlapping data. This transition took place from May through September during the 2019 water year. The USGS was able to establish replacement precipitation gages at 17 of the 25 sites by the conclusion of the overlapping operational period.
The double-mass curve method was used to compare the two networks by creating a graph of the cumulated data collected by the Illinois State Water Survey and the comparable data collected by the USGS. Breaks in the double-mass curve method are caused by a change in the relation between variables. The eight sites that were installed following the overlapping period have a gap in the recorded data; however, the slope of the line for each of the eight sites is nearly equivalent to the previous data. In general, the cumulated precipitation data from the two networks were similar. Three sites had greater than 8-percent difference in their cumulative data ratios, located at Cicero, Ping Tom Park at Chicago, and South Shore, Ill.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255102","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Johnson, K.K., 2026, Comparison of two precipitation gage networks in Cook County, Illinois: U.S. Geological Survey Scientific Investigations Report 2025–5102, 73 p., https://doi.org/10.3133/sir20255102.","productDescription":"Report: iv, 73 p.; Linked Appendix Table; Dataset","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-142529","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498662,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2025/5102/downloads/sir20255102_table1.1.zip","text":"Appendix 1","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Table 1.1"},{"id":498892,"rank":8,"type":{"id":36,"text":"NGMDB Index 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Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
The Cook County Precipitation Network includes 25 precipitation gages spread out across Cook County, Illinois. These gages help the U.S. Army Corps of Engineers track how much water is diverted from Lake Michigan into Illinois. In 2019, the responsibility for operating and maintaining these gages shifted from the Illinois State Water Survey to the U.S. Geological Survey. To evaluate the data consistency during the transition, the two organizations operated their networks at the same time for a few months (May to September 2019). During this period, the U.S. Geological Survey installed new gages at 17 of the 25 sites. The remaining 8 sites were installed later, resulting in data gaps for those sites. An analytical method called a double-mass curve was used to compare the data from both networks. Overall, the precipitation totals from both networks were very similar. However, three sites had cumulative data ratio differences greater than 8 percent.
","publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953872,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274601,"text":"70274601 - 2026 - Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA","interactions":[],"lastModifiedDate":"2026-04-01T21:13:19.203403","indexId":"70274601","displayToPublicDate":"2026-01-20T14:07:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA","docAbstract":"In several early studies, central California marine terraces between Santa Barbara and Point Conception were interpreted to record sea-level high stands of the last interglacial complex, ∼80 ka to ∼120 ka (marine isotope stage [MIS] 5). These ages and their elevations (∼20 m to ∼45 m) indicate modest rates of tectonic uplift, similar to those from other localities in southern and central California. A recent study, using a combination of luminescence and radiocarbon dating, has challenged the older age interpretations, implying much younger terrace ages, between ∼40 ka and ∼55 ka (MIS 3). From these new ages and a considerably lower sea level during MIS 3, much higher rates of tectonic uplift are inferred. In the present study, new uranium-series ages of terrace corals and amino acid age estimates of terrace mollusks were determined to test these competing interpretations. With the exception of a low-elevation terrace in Isla Vista (near Santa Barbara) that dates to MIS 3, terraces farther west are interpreted to date to MIS 5 and imply tectonic uplift rates of 0.20–0.34 m/kyr. A compilation of data for the region yields a decreasing rate of late Quaternary uplift from east, near Ventura, to west, near Point Conception. This trend is interpreted to reflect a decreasing influence of the processes of compression and crustal shortening south of the Big Bend in the San Andreas fault.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2026.110179","usgsCitation":"Muhs, D., Schumann, R.R., Bright, J., Roberts, H.M., and Groves, L.T., 2026, Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA: Geomorphology, v. 501, 110179, 29 p., https://doi.org/10.1016/j.geomorph.2026.110179.","productDescription":"110179, 29 p.","ipdsId":"IP-175111","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Barbara County","otherGeospatial":"coastal Santa Barbara County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.71849255644787,\n 34.941506886063436\n ],\n [\n -120.71849255644787,\n 34.36620309495811\n ],\n [\n -119.29011089848893,\n 34.36620309495811\n ],\n [\n -119.29011089848893,\n 34.941506886063436\n ],\n [\n -120.71849255644787,\n 34.941506886063436\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":958475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":958476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":958477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Helen M.","contributorId":369119,"corporation":false,"usgs":false,"family":"Roberts","given":"Helen","middleInitial":"M.","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":958478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groves, Lindsey T. 0000-0002-2097-2689","orcid":"https://orcid.org/0000-0002-2097-2689","contributorId":365815,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":958479,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273754,"text":"70273754 - 2026 - Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2026-01-28T17:02:45.63779","indexId":"70273754","displayToPublicDate":"2026-01-20T10:58:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum","docAbstract":"The Paleocene–Eocene Thermal Maximum (PETM, ~56 Mya) interval was marked by massive 13C-depleted carbon emissions into the ocean/atmosphere system, manifested as a negative carbon isotope excursion (CIE) in sedimentary components, and ~5 °C global average warming. Episodes of hydrological perturbations and soil-erosion have been widely documented for the PETM but their link with vegetation- and carbon cycle changes remain poorly constrained. Here, we present organic microfossil evidence showing a strong increase in fern-dominated pioneer vegetation that replaced coniferous forests on the margin of the Norwegian Sea during the first millennia of the CIE. With the present stratigraphic constraints, the “fern spike” occurred simultaneously in terrestrial settings along the North Sea, Arctic Ocean, the US east coast and in southern Australia, indicating that pioneer vegetation persisted for several millennia following a partial collapse of previously stable terrestrial ecosystems. Both the ferns and influx of microcharcoal imply recurrent physical disturbance, including soil destabilization and erosion, potentially linked to droughts, wildfires, and strong hydrological forcing resulting from extreme climate change. Together with evidence for reworked clay minerals and ancient organic matter (kerogen), these findings show that highly disturbed terrestrial ecosystems were widespread across mid- and high-latitude regions globally. Carbon cycle model simulations suggest that a substantial loss of standing and buried biomass, along with oxidation of soil organic matter, acted as important positive feedbacks during the onset of the CIE. Additionally, enhanced kerogen weathering likely contributed as another major positive feedback throughout both the onset and main phase of the CIE.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2509231122","usgsCitation":"Nelissen, M., Willard, D., Konijnenburg-van Cittert, H., Bowen, G.J., Hollaar, T., Sluijs, A., Frieling, J., and Brinkhuis, H., 2026, Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum: Proceedings of the National Academy of Sciences, v. 123, no. 4, e2509231122, 8 p., https://doi.org/10.1073/pnas.2509231122.","productDescription":"e2509231122, 8 p.","ipdsId":"IP-177301","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2509231122","text":"Publisher Index Page"},{"id":499184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nelissen, Mei","contributorId":362170,"corporation":false,"usgs":false,"family":"Nelissen","given":"Mei","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":954542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konijnenburg-van Cittert, Han","contributorId":365651,"corporation":false,"usgs":false,"family":"Konijnenburg-van Cittert","given":"Han","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Gabriel J.","contributorId":365652,"corporation":false,"usgs":false,"family":"Bowen","given":"Gabriel","middleInitial":"J.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":954544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollaar, Teuntje","contributorId":365653,"corporation":false,"usgs":false,"family":"Hollaar","given":"Teuntje","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sluijs, Appy","contributorId":215371,"corporation":false,"usgs":false,"family":"Sluijs","given":"Appy","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frieling, Joost","contributorId":365654,"corporation":false,"usgs":false,"family":"Frieling","given":"Joost","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":954547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brinkhuis, Henk","contributorId":328591,"corporation":false,"usgs":false,"family":"Brinkhuis","given":"Henk","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273667,"text":"70273667 - 2026 - Toxicity of anticoagulant rodenticides on Pacific salmon: Assessing lethal and sublethal effects","interactions":[],"lastModifiedDate":"2026-01-22T15:25:07.928692","indexId":"70273667","displayToPublicDate":"2026-01-20T09:22:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23276,"text":"Ecotoxciology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of anticoagulant rodenticides on Pacific salmon: Assessing lethal and sublethal effects","docAbstract":"To restore native biodiversity on island ecosystems containing invasive rodents, partial- and whole-island eradications generally rely on broadcast baiting with anticoagulant rodenticides (ARs). This approach can result in bait pellets entering aquatic environments, raising concerns about effects to non-target fish. Salmonids are a dominant group of fishes on many temperate islands targeted for rodent eradication, and AR toxicity data for salmonids are limited. Our goal was to determine if coho salmon (Oncorhynchus kisutch) are susceptible to coagulopathy and death via exposure to commonly used ARs. We assessed risk of ARs to coho using dose-response curves generated through intraperitoneal injections after determining that coho would not directly ingest the AR baits. Median lethal doses (96-h LD50) estimated using 100 % corn oil carrier were 85.7 µg/g for brodifacoum and 54.0 µg/g for diphacinone. Acetone (30–41 %), used to dissolve ARs in corn oil, reduced the toxicity of diphacinone (LD50 = 102.3 µg/g, p < 0.001) but not brodifacoum (LD50 = 73.3 µg/g, p = 0.126) indicating that solvent choice can influence toxicity outcomes. Behavioral changes and onset of mortality differed between the two ARs, with diphacinone acting more rapidly. Tissue analysis supported a difference in toxicokinetics between the two ARs, with significant decreases in liver and muscle residues for diphacinone but not brodifacoum. Sublethal brodifacoum exposure (53.9 µg/g; LD13) impaired blood clotting at 72- and 96- h but returned to baseline by 120 h. No clotting impairment was observed up to 144 h after diphacinone exposure (45.5 µg/g; LD4), suggesting a non-coagulopathy mode of action. These findings will inform risk assessments when considering use of these ARs for rodent management near streams and shorelines and clearly demonstrate that brodifacoum causes coagulopathy in coho.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2026.119748","usgsCitation":"Pavord, L.M., Driessnack, M.K., Shiels, A.B., Volker, S., Rattner, B., and McIntyre, J., 2026, Toxicity of anticoagulant rodenticides on Pacific salmon: Assessing lethal and sublethal effects: Ecotoxciology and Environmental Safety, v. 310, 119748, 10 p., https://doi.org/10.1016/j.ecoenv.2026.119748.","productDescription":"119748, 10 p.","ipdsId":"IP-182338","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2026.119748","text":"Publisher Index Page"},{"id":498837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"310","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Pavord, Lillian M.","contributorId":365379,"corporation":false,"usgs":false,"family":"Pavord","given":"Lillian","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":954239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driessnack, Melissa K.","contributorId":365380,"corporation":false,"usgs":false,"family":"Driessnack","given":"Melissa","middleInitial":"K.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":954240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiels, Aaron B.","contributorId":365381,"corporation":false,"usgs":false,"family":"Shiels","given":"Aaron","middleInitial":"B.","affiliations":[{"id":37295,"text":"USDA APHIS","active":true,"usgs":false}],"preferred":false,"id":954241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Volker, Steven","contributorId":299456,"corporation":false,"usgs":false,"family":"Volker","given":"Steven","affiliations":[{"id":64850,"text":"USDA, APHIS","active":true,"usgs":false}],"preferred":false,"id":954242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rattner, Barnett A. 0000-0003-3676-2843","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":95843,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett A.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":954243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntyre, Jenifer","contributorId":365385,"corporation":false,"usgs":false,"family":"McIntyre","given":"Jenifer","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":954244,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273942,"text":"70273942 - 2026 - Harmonization of aggregated freshwater biotic data to support continental and global assessment","interactions":[],"lastModifiedDate":"2026-02-19T14:32:03.770691","indexId":"70273942","displayToPublicDate":"2026-01-20T08:29:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Harmonization of aggregated freshwater biotic data to support continental and global assessment","docAbstract":"Biodiversity loss and conservation are increasingly coming into focus in global policy fora, requiring information and assessments at wider spatial and temporal scales than previously considered. However, the monitoring framework required to support such data collection and assessment is lacking in many countries and is not harmonized across countries, hampering these efforts. Aggregation of existing freshwater data offers a solution to the problem of assessing status and trends of ecosystems and biodiversity at large spatial scales in the absence of nationally coordinated monitoring efforts. Analysis of aggregated data from different sources, collected using different protocols and with varying levels of metadata and supporting data, can be challenging and requires decisions regarding data comparability. In this paper, we identify the challenges inherent in harmonizing aggregated freshwater data for analysis, including general concerns related to research goals, spatial and temporal scale, sample selection, sampling effort, and site integrity. We also discuss the challenges related to measured parameters, sampled habitats, sample collection and processing methods, and data integrity for phytoplankton, benthic algae, macrophytes, zooplankton, benthic macroinvertebrates, fish, and supporting variables such as water and sediment chemistry. We provide a workflow to evaluate each of these challenges and make decisions about how best to work with the data. Finally, we review a case study from a large-scale analysis of freshwater data from the circumpolar Arctic region that exemplifies the encountered challenges and the chosen solutions. Through the description of the case study, we provide practical solutions to support aggregation and analysis of existing freshwater data. As global conversations about biodiversity status and trends continue, the demand for large-scale analyses of data from different sources will only grow. In the absence of globally harmonized monitoring, we are faced with the need to ensure comparability of data, making expert judgements where needed to support sound conclusions.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pwat.0000502","usgsCitation":"Lento, J., Laske, S.M., Culp, J.M., Goedkoop, W., Kahlert, M., Lau, D.C., Lavoie, I., Musetta-Lambert, J., Ólafsson, J.S., and Christoffersen, K.S., 2026, Harmonization of aggregated freshwater biotic data to support continental and global assessment: PLOS Water, v. 5, no. 1, e0000502, 27 p., https://doi.org/10.1371/journal.pwat.0000502.","productDescription":"e0000502, 27 p.","ipdsId":"IP-180104","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":500254,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000502","text":"Publisher Index Page"},{"id":500141,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lento, Jennifer","contributorId":221451,"corporation":false,"usgs":false,"family":"Lento","given":"Jennifer","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":955855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":955856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culp, Joseph M.","contributorId":366416,"corporation":false,"usgs":false,"family":"Culp","given":"Joseph","middleInitial":"M.","affiliations":[{"id":87479,"text":"Cold Regions Research Centre and Department of Biology, Wilfrid Laurier University","active":true,"usgs":false}],"preferred":false,"id":955857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goedkoop, Willem","contributorId":366417,"corporation":false,"usgs":false,"family":"Goedkoop","given":"Willem","affiliations":[{"id":87480,"text":"Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment","active":true,"usgs":false}],"preferred":false,"id":955858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kahlert, Maria","contributorId":366418,"corporation":false,"usgs":false,"family":"Kahlert","given":"Maria","affiliations":[{"id":87480,"text":"Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment","active":true,"usgs":false}],"preferred":false,"id":955859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lau, Danny C.P.","contributorId":366419,"corporation":false,"usgs":false,"family":"Lau","given":"Danny","middleInitial":"C.P.","affiliations":[{"id":87480,"text":"Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment","active":true,"usgs":false}],"preferred":false,"id":955860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lavoie, Isabelle","contributorId":255561,"corporation":false,"usgs":false,"family":"Lavoie","given":"Isabelle","email":"","affiliations":[{"id":51586,"text":"Institut national de la recherche scientifique, Centre Eau Terre Environnement","active":true,"usgs":false}],"preferred":false,"id":955861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Musetta-Lambert, Jordan","contributorId":366420,"corporation":false,"usgs":false,"family":"Musetta-Lambert","given":"Jordan","affiliations":[{"id":87481,"text":"Watershed Hydrology and Ecology Research Division, National Hydrology Research Centre, Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":955862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ólafsson, Jón S.","contributorId":366421,"corporation":false,"usgs":false,"family":"Ólafsson","given":"Jón","middleInitial":"S.","affiliations":[{"id":40381,"text":"Marine and Freshwater Research Institute, Iceland","active":true,"usgs":false}],"preferred":false,"id":955863,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christoffersen, Kirsten S.","contributorId":366422,"corporation":false,"usgs":false,"family":"Christoffersen","given":"Kirsten","middleInitial":"S.","affiliations":[{"id":87482,"text":"Freshwater Biological Section, Department of Biology, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":955864,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273759,"text":"70273759 - 2026 - Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri","interactions":[],"lastModifiedDate":"2026-03-16T14:12:37.829607","indexId":"70273759","displayToPublicDate":"2026-01-19T09:05:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23282,"text":"Records of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri","title":"Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri","docAbstract":"Northern snakehead Channa argus (Cantor, 1842) is an aquatic invasive fish species in the United States with first documented occurrence in the wild in the 2000s. Management efforts to control their populations in the eastern United States are ongoing. In the Mississippi River basin, limited resources have been allocated to control its distribution, after initial detection and rapid response in Arkansas were unsuccessful. Northern snakehead distribution in the Mississippi River basin was limited to Arkansas and Mississippi until 2019 when a single northern snakehead was detected on the southern border of Missouri in the Saint Francis River drainage, the furthest northern detection. Described here are additional northern snakehead detections following public reports and subsequent monitoring in the Mingo basin of the Saint Francis River drainage, a historical braided channel and floodplain habitat of the Mississippi River with intermittently flooded bottomland hardwood forests and wetlands, and other consistent aquatic habitats. These increasing captures document the recent range expansion of northern snakehead. Most of the 11,300 ha Mingo basin consists of Mingo National Wildlife Refuge and Duck Creek Conservation Area; these areas are protected aquatic ecosystems possessing sensitive species and serve as a potential example of prioritized areas for northern snakehead control efforts. Additionally, we highlight the significance of these detections in the Mingo basin which is connected via the Castor River water-control structure to the Upper Mississippi River and may facilitate further range expansion.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre - REABIC","doi":"10.3391/bir.2026.15.1.17","usgsCitation":"Sterling, E.M., Bookout, T.A., Holmes, E., Baalman, N., Henderson, C., and Kroboth, P., 2026, Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri: Records of Biological Invasions, v. 15, no. 1, p. 183-194, https://doi.org/10.3391/bir.2026.15.1.17.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-178255","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2026.15.1.17","text":"Publisher Index Page"},{"id":501172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Saint Francis River drainage","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sterling, Edward M.","contributorId":365674,"corporation":false,"usgs":false,"family":"Sterling","given":"Edward","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bookout, Taylor A.","contributorId":336867,"corporation":false,"usgs":false,"family":"Bookout","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":954594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Erin","contributorId":222739,"corporation":false,"usgs":false,"family":"Holmes","given":"Erin","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baalman, Neil","contributorId":365675,"corporation":false,"usgs":false,"family":"Baalman","given":"Neil","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, Cody","contributorId":344002,"corporation":false,"usgs":false,"family":"Henderson","given":"Cody","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":957094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954597,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273733,"text":"70273733 - 2026 - Luminescence dating of hydrothermal explosions in the Yellowstone Plateau volcanic field","interactions":[],"lastModifiedDate":"2026-01-26T15:10:31.49282","indexId":"70273733","displayToPublicDate":"2026-01-19T08:59:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence dating of hydrothermal explosions in the Yellowstone Plateau volcanic field","docAbstract":"Hydrothermal explosions are a significant geological hazard in some active volcanic systems; however, the timing and triggering mechanisms of these explosions are poorly constrained. This study applies luminescence dating techniques to hydrothermal explosion deposits in the Yellowstone Plateau volcanic field to constrain explosion chronologies and evaluate potential triggering mechanisms. We tested four luminescence dating techniques: K-feldspar post-infrared infrared stimulated luminescence (pIRIR225), quartz blue light optically stimulated luminescence (BLOSL), quartz blue thermoluminescence (BTL), and quartz red thermoluminescence (RTL). The pIRIR225 and RTL protocols produce consistent age estimates that agree with independent radiocarbon ages and with the timing of the Pinedale deglaciation. This study focuses on two craters, Mary Bay, along the northern shore of Yellowstone Lake, and Pocket Basin in Lower Geyser Basin. The mean pIRIR225 ages from Mary Bay deposits (11.99 ± 0.68 ka) agree with previous radiocarbon constraints. The mean pIRIR225 results from Pocket Basin deposits (13.44 ± 1.06 ka) suggest a history of explosion following Pinedale deglaciation, followed by recent hydrothermal alteration. Luminescence dating techniques are a promising tool for reconstructing the timing of hydrothermal explosions in the Late Pleistocene and Holocene, helping to constrain recurrence intervals of the largest hydrothermal systems, informing risk, and improving hazard assessments.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2025.10061","usgsCitation":"Cordero, K., Brown, N., Harrison, L.N., and Hurwitz, S., 2026, Luminescence dating of hydrothermal explosions in the Yellowstone Plateau volcanic field: Quaternary Research, https://doi.org/10.1017/qua.2025.10061.","ipdsId":"IP-178437","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/qua.2025.10061","text":"Publisher Index Page"},{"id":499012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone Plateau volcanic field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.71800252281912,\n 45.31958933642079\n ],\n [\n -111.71800252281912,\n 43.46105587528487\n ],\n [\n -109.41177633037037,\n 43.46105587528487\n ],\n [\n -109.41177633037037,\n 45.31958933642079\n ],\n [\n -111.71800252281912,\n 45.31958933642079\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Cordero, Karissa","contributorId":365621,"corporation":false,"usgs":false,"family":"Cordero","given":"Karissa","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":954464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Nathan","contributorId":365623,"corporation":false,"usgs":false,"family":"Brown","given":"Nathan","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":954465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrison, Lauren N.","contributorId":365624,"corporation":false,"usgs":false,"family":"Harrison","given":"Lauren","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":954466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":216321,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954467,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273871,"text":"70273871 - 2026 - The surface is not superficial: Utilizing hyper-local thermal photogrammetry for pedestrian thermal comfort inquiry","interactions":[],"lastModifiedDate":"2026-02-11T15:13:43.569738","indexId":"70273871","displayToPublicDate":"2026-01-19T08:07:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The surface is not superficial: Utilizing hyper-local thermal photogrammetry for pedestrian thermal comfort inquiry","docAbstract":"The scale and magnitude of urban heating are often assessed using Satellite-Derived Land Surface Temperature (SD-LST). Yet, discrepancies in spatial resolution limit SD-LST’s ability to reflect pedestrian thermal experience, potentially leading to ineffective mitigation strategies. Hyper-local measurements of urban heat, defined as surface temperatures (TS) at the scale of pedestrian activity (e.g., bus stops or street segments), may provide more accurate insights into thermal comfort. This study compares hyper-local ~0.01 m resolution TS collected via consumer-grade Forward-Looking Infrared (FLIR) thermography with resampled 30 m resolution SD-LST from Landsat 8 and 9 images to evaluate their utility in predicting thermal comfort indices across 60 bus stops in Denver, Colorado. During the summer of 2023, 270 FLIR measurements were collected over 19 dates, with a four-day subset (n = 33) coinciding with Landsat imagery. FLIR TS averaged 25.12 ± 5.39 °C, while SD-LST averaged 35.90 ± 12.56 °C, a significant 10.77 °C difference (95% CI: 6.81–14.73; p < 0.001). FLIR TS strongly correlated with biometeorological metrics such as air temperature and mean radiant temperature (r > 0.8; p < 0.001), while SD-LST correlations were weak (r < 0.3). Linear mixed-effects models using FLIR TS explained 50–66% of the variance in thermal comfort indices and met ISO 7726 standards. Each 1 °C increase in FLIR TS predicted a 0.75 °C rise in mean radiant temperature. These results highlight hyper-local thermography as a reliable, low-cost tool for urban heat resilience planning.
","language":"English","publisher":"MDPI","doi":"10.3390/rs18020348","usgsCitation":"Steinharter, L., Ibsen, P.C., deSouza, P., and McHale, M.R., 2026, The surface is not superficial: Utilizing hyper-local thermal photogrammetry for pedestrian thermal comfort inquiry: Remote Sensing, v. 18, no. 2, 348, 25 p., https://doi.org/10.3390/rs18020348.","productDescription":"348, 25 p.","ipdsId":"IP-183417","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499943,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18020348","text":"Publisher Index Page"},{"id":499747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.29210252650385,\n 39.926551113261525\n ],\n [\n -105.29210252650385,\n 39.49581897348219\n ],\n [\n -104.64227323476742,\n 39.49581897348219\n ],\n [\n -104.64227323476742,\n 39.926551113261525\n ],\n [\n -105.29210252650385,\n 39.926551113261525\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Steinharter, Logan","contributorId":366132,"corporation":false,"usgs":false,"family":"Steinharter","given":"Logan","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":955339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"deSouza, Priyanka","contributorId":366133,"corporation":false,"usgs":false,"family":"deSouza","given":"Priyanka","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":955341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHale, Melissa R.","contributorId":366135,"corporation":false,"usgs":false,"family":"McHale","given":"Melissa","middleInitial":"R.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":955342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276245,"text":"70276245 - 2026 - Anuran occupancy of created wetlands within reforested legacy surface mines in Kentucky and West Virginia","interactions":[],"lastModifiedDate":"2026-05-20T15:07:28.862319","indexId":"70276245","displayToPublicDate":"2026-01-18T10:03:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Anuran occupancy of created wetlands within reforested legacy surface mines in Kentucky and West Virginia","docAbstract":"Restoration of habitat is an important component of wildlife management. Surface coal mining has altered forest cover in the Central Appalachians, and most reclamation activities on previously mined lands result in non-native grasslands or shrub lands. The Forestry Reclamation Approach (FRA), which emphasizes non-native vegetation removal, soil decompaction, planting of native trees and shrubs, and, in some cases, wetland creation represents an alternative to grassland-based reclamation that may promote forest-associated wildlife on legacy surface mines. We used automated recording units to evaluate the response of anurans to created wetlands and the FRA in Kentucky and West Virginia, USA. We used a Bayesian community occupancy model to compare species occupancy and richness across a range of wetland sizes (6.6–252 m2) and 3 site types: 1) younger FRA (1–6 yr), 2) older FRA (7–23 yr), and 3) unmined, mature forests (>100 yr). In addition, we evaluated factors influencing anuran detection probabilities. Mean occupancy and species richness in both states were highest in the younger FRA, suggesting anurans may rapidly colonize wetlands created on restored mines. In Kentucky, occupancy of several species (green frog [Lithobates clamitans], pickerel frog [L. palustris], and wood frog [L. sylvaticus]) was higher in larger created wetlands, but wetland size was not important in West Virginia. Daily minimum temperature positively influenced detection of anurans in both states, and time of day was also important for detection in West Virginia. Wetland creation and implementation of the FRA may be an important tool for wildlife managers aiming to improve anuran populations and diversity on legacy surface mines in the Central Appalachians.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70156","usgsCitation":"Newman, J.C., Price, S.J., Guzy, J.C., Castle, J., Cox, J.J., Larkin, J.L., and Barton, C.D., 2026, Anuran occupancy of created wetlands within reforested legacy surface mines in Kentucky and West Virginia: Journal of Wildlife Management, v. 90, no. 3, e70156, 16 p., https://doi.org/10.1002/jwmg.70156.","productDescription":"e70156, 16 p.","ipdsId":"IP-174480","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.15472448573897,\n 38.6863505104738\n ],\n [\n -79.79212746942159,\n 38.6863505104738\n ],\n [\n -79.79212746942159,\n 38.416728830781494\n ],\n [\n -80.15472448573897,\n 38.416728830781494\n ],\n [\n -80.15472448573897,\n 38.6863505104738\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.02461619940031,\n 37.720169430689694\n ],\n [\n -84.61403596283867,\n 37.720169430689694\n ],\n [\n -84.61403596283867,\n 36.59273432467556\n ],\n [\n -83.02461619940031,\n 36.59273432467556\n ],\n [\n -83.02461619940031,\n 37.720169430689694\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Jillian C.","contributorId":371430,"corporation":false,"usgs":false,"family":"Newman","given":"Jillian","middleInitial":"C.","affiliations":[{"id":88141,"text":"ManTech SRS Technologies Inc.","active":true,"usgs":false}],"preferred":false,"id":961812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Steven J.","contributorId":371431,"corporation":false,"usgs":false,"family":"Price","given":"Steven","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":961813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castle, Joshua","contributorId":371432,"corporation":false,"usgs":false,"family":"Castle","given":"Joshua","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":961815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cox, John J.","contributorId":371433,"corporation":false,"usgs":false,"family":"Cox","given":"John","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":961816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffrey L.","contributorId":371434,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","middleInitial":"L.","affiliations":[{"id":38138,"text":"Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":961817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barton, Christopher D.","contributorId":371435,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":961818,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273785,"text":"70273785 - 2026 - Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps)","interactions":[],"lastModifiedDate":"2026-01-29T16:13:58.576972","indexId":"70273785","displayToPublicDate":"2026-01-18T09:03:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps)","title":"Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps)","docAbstract":"No abstract available.
","language":"English","doi":"10.1111/mec.70238","usgsCitation":"Beever, E.A., Osterhoudt, E., and Linck, E.B., 2026, Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps): Molecular Ecology, v. 35, no. 2, e70238, 3 p., https://doi.org/10.1111/mec.70238.","productDescription":"e70238, 3 p.","ipdsId":"IP-173486","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70238","text":"Publisher Index Page"},{"id":499227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":954782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterhoudt, Elizabeth 0009-0003-4493-1712","orcid":"https://orcid.org/0009-0003-4493-1712","contributorId":365782,"corporation":false,"usgs":false,"family":"Osterhoudt","given":"Elizabeth","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":954783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linck, Ethan B. 0000-0002-9055-6664","orcid":"https://orcid.org/0000-0002-9055-6664","contributorId":365783,"corporation":false,"usgs":false,"family":"Linck","given":"Ethan","middleInitial":"B.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":954784,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273819,"text":"70273819 - 2026 - Early Pliocene (Zanclean) sea surface temperature for PlioMIP3","interactions":[],"lastModifiedDate":"2026-02-13T16:33:10.554506","indexId":"70273819","displayToPublicDate":"2026-01-17T07:45:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Early Pliocene (Zanclean) sea surface temperature for PlioMIP3","docAbstract":"Paleoclimate researchers have been comparing Pliocene environmental data to paleoclimate model results since the 1980s. The Pliocene Model Intercomparison Project (PlioMIP) began in 2008 with a focus on the Late Pliocene. Here we assess the availability and utility of sea surface temperature (SST) data for verification of Pliocene Model Intercomparison Project (PlioMIP3) Early Pliocene (Zanclean) experiments. We analyze published data in terms of quantity and spatial distribution. Only SST estimates derived using alkenone paleo thermometry are reported, and all estimates are based upon the same temperature calibration. Sea surface temperature data are selected from within three distinct time intervals: The early Zanclean 5.3 Ma – 4.2 Ma time slab, and two time slices within the early Zanclean, chosen by PlioMIP3 at 4.870 Ma and 4.474 Ma. Results show the early Zanclean time slab contains 2055 individual estimates. Approximately ∼ 80% of these estimates come from Sites 609, 642, 846, 847, 882, 907, and 1146. There are 17 sites with a total of 42 estimates within the 4.474 Ma ±10 kyr time slice, and 15 sites with a total of 47 data points within the 4.870 Ma ±10 kyr interval. The sparse spatial and temporal distribution of Zanclean data, relative to the data available for the mid Piacenzian, makes point-by-point data model comparison suspect. We suggest interpreting model output against lower resolution long term trends in proxy data, and comparison of models through temperature gradients, may be the most useful application of currently available data. Integrating Zanclean age coastal plain sequences within data model comparison schemes, for increased understanding of regional climate impacts, also holds great potential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2026.105293","usgsCitation":"Dowsett, H.J., and Foley, K.M., 2026, Early Pliocene (Zanclean) sea surface temperature for PlioMIP3: Global and Planetary Change, v. 259, 105293, 13 p., https://doi.org/10.1016/j.gloplacha.2026.105293.","productDescription":"105293, 13 p.","ipdsId":"IP-179866","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500092,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70273819/full"},{"id":500091,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70273819/70273819.XML"},{"id":499497,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":269579,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":954924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":954925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274646,"text":"70274646 - 2026 - Compounding of 100-year coastal floods by rainfall in an urban environment","interactions":[],"lastModifiedDate":"2026-04-02T15:50:56.3047","indexId":"70274646","displayToPublicDate":"2026-01-16T10:46:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Compounding of 100-year coastal floods by rainfall in an urban environment","docAbstract":"Coastal and pluvial flooding are both becoming more prevalent and severe due to climate change and urbanization in floodplains. The co-occurrence of these flood drivers is generally assumed to exacerbate the resulting flood impacts, a result referred to as compound flooding. However, few observational or modeling studies have investigated the circumstances under which this occurs. Here, we study the impacts of these combined flood drivers and evaluate the implicit hypothesis of official flood maps, which is that rainfall has a negligible impact on the flood depth and flooded area due to a 100 year coastal flood. A coastal system model, configured to capture coastal and pluvial flood drivers, is used. We evaluate the flooding for different urban landform types, including coastal landfill (human-made land), convergent areas (topographic depressions) and other urban terrain, within a model domain covering the Jamaica Bay watershed of New York City. A scenario-based strategy is adopted with a 100 year coastal flood as a control simulation, to which we add a set of realistic scenarios of rainfall data from historical tropical cyclones. We also apply a joint probability analysis framework with historical data to evaluate the probability of these compound coastal-pluvial scenarios. Results reveal cases where the pluvial driver compounds the coastal flood through expansion of the flood zone, with a 17% chance of rainfall increasing the flood area by 6%–38%, and a 5% chance of an increase of 61%–73%. It is rare that floods are significantly deepened but when deepening occurs, it is more common for the convergent zone than for the coastal landfill. These findings quantitatively assess the potential of the pluvial driver to exacerbate flooding, which may influence emergency management strategies such as evacuation plans, shelter arrangements, and related preparedness measures.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ae2a55","usgsCitation":"Kasaei, S., Orton, P.M., Wahli, T., Ralston, D.K., and Warner, J., 2026, Compounding of 100-year coastal floods by rainfall in an urban environment: Environmental Research Letters, v. 21, no. 2, 024007, 13 p., https://doi.org/10.1088/1748-9326/ae2a55.","productDescription":"024007, 13 p.","ipdsId":"IP-180316","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ae2a55","text":"Publisher Index Page"},{"id":502006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.5876977066029,\n 40.75954897283495\n ],\n [\n -74.02868799233167,\n 40.684493367656756\n ],\n [\n -74.05112050066245,\n 40.574457557184985\n ],\n [\n -73.94306146662925,\n 40.54016116213248\n ],\n [\n -73.76592672096606,\n 40.572895209977005\n ],\n [\n -73.58988624400156,\n 40.57154570409608\n ],\n [\n -73.5876977066029,\n 40.75954897283495\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasaei, Shima","contributorId":369142,"corporation":false,"usgs":false,"family":"Kasaei","given":"Shima","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":958539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orton, Phillip M.","contributorId":369143,"corporation":false,"usgs":false,"family":"Orton","given":"Phillip","middleInitial":"M.","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":958540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, Thomas","contributorId":201471,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","affiliations":[],"preferred":false,"id":958541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ralston, David K.","contributorId":369144,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":958542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":958543,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273370,"text":"70273370 - 2026 - Coral reef protection may help avert risks to people, property, and economic activity caused by projected reef degradation","interactions":[],"lastModifiedDate":"2026-02-23T16:20:35.591479","indexId":"70273370","displayToPublicDate":"2026-01-16T10:03:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Coral reef protection may help avert risks to people, property, and economic activity caused by projected reef degradation","docAbstract":"Degradation of coral reefs over the past several decades has caused regional-scale erosion of the shallow seafloor that serves as a protective barrier against coastal hazards along southeast Florida, USA. How future change in coral reefs may affect coastal flooding, however, has been less attended than other factors contributing to increasing risks such as sea-level rise and more intense storms. Here, the increased flooding hazard faced by Florida's coastal communities from the projected future degradation of its adjacent coral reefs is evaluated through oceanographic, coastal engineering, habitat, geospatial, and socioeconomic modeling. Risk-based valuation approaches were followed to map flood zones at 10-m2 resolution along 430 km of Florida's reef-lined coast for the current and projected future coral reef conditions. The projected degradation of Florida's coral reefs can increase annual flooding to more than 8.77 km2 of land and 4,980 km of roads, affecting more than 7,315 people, $412.5 million in damages to 1,400 buildings, and economic disruption of $438.1 million annually (2024 US dollars). The degradation of Florida's coral reefs would increase the annual risk to people and structures by more than 42% and 47%, respectively, but is spatially variable due to the heterogeneous alongshore nature and distribution of the reefs and communities: the increased risk exceeds $1 million/km annually to more than 17% of the coastline but also disproportionately would affect vulnerable populations. These results help identify areas where coral reef protection could help reduce the projected increased storm flooding risk to Florida's coastal communities.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF006255","usgsCitation":"Storlazzi, C.D., Reguero, B., Yates, K., Alkins, K., Shope, J.B., Gaido-Lasserre, C., Fregoso, T., and Beck, M.W., 2026, Coral reef protection may help avert risks to people, property, and economic activity caused by projected reef eegradation: Earth's Future, v. 14, no. 1, e2025EF006255, 15 p., https://doi.org/10.1029/2025EF006255.","productDescription":"e2025EF006255, 15 p.","ipdsId":"IP-176207","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499445,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499622,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef006255","text":"Publisher Index Page"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.23010162208632,\n 25.552150467995233\n ],\n [\n -80.47749742473422,\n 25.15141192176594\n ],\n [\n -81.15433499801613,\n 24.779023140904116\n ],\n [\n -82.17192528060517,\n 24.681509029413803\n ],\n [\n -82.19059666193729,\n 24.452263270583572\n ],\n [\n -80.7575681447126,\n 24.622115228348946\n ],\n [\n -80.09940195276283,\n 25.40466453362501\n ],\n [\n -80.10406979809586,\n 25.568994474582937\n ],\n [\n -80.23010162208632,\n 25.552150467995233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":953479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":202055,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alkins, Kristen 0000-0003-3647-2678","orcid":"https://orcid.org/0000-0003-3647-2678","contributorId":341902,"corporation":false,"usgs":false,"family":"Alkins","given":"Kristen","affiliations":[{"id":37487,"text":"formerly USGS","active":true,"usgs":false}],"preferred":false,"id":953481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":953482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaido-Lasserre, Camila","contributorId":341891,"corporation":false,"usgs":false,"family":"Gaido-Lasserre","given":"Camila","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":953483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fregoso, Theresa 0000-0001-7802-5812","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":364922,"corporation":false,"usgs":false,"family":"Fregoso","given":"Theresa","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":953484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":953485,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274142,"text":"70274142 - 2026 - Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii","interactions":[],"lastModifiedDate":"2026-02-27T15:22:50.668772","indexId":"70274142","displayToPublicDate":"2026-01-16T09:14:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii","title":"Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii","docAbstract":"Conservation translocations are an increasingly common and often necessary component of recovering species that have become extirpated from portions of their range. Understanding and ameliorating potential threats that reduce the likelihood of successful population establishment at recipient sites is a key component of successful translocation planning. We examined multiple potential threats, including pathogens, contaminants, and invasive species, as well as habitat suitability and food resources, to assess the feasibility of reintroducing threatened, stream-obligate foothill yellow-legged frogs, Rana boylii, to Pinnacles National Park. Foothill yellow-legged frogs were extirpated from this protected area more than half a century ago. Although invasive species, disease, contaminants, food resources, and water temperatures are unlikely to inhibit foothill yellow-legged frog population establishment, potential recipient streams at Pinnacles National Park had shorter hydroperiods and much higher canopy cover than reference streams with extant foothill yellow-legged frog populations. Although the exact cause of extirpation of foothill yellow-legged frogs from Pinnacles National Park is unknown, translocations of foothill yellow-legged frogs to the park are more likely to succeed if riparian canopy cover is reduced and stream hydroperiods increased to better match those at nearby populations. Thoroughly understanding the threats to and characteristics of potential recipient sites could improve the likelihood of success of translocation outcomes in natural areas.
","language":"English","publisher":"BioOne","doi":"10.3375/2162-4399-46.1.5","usgsCitation":"Macias, D., Kleeman, P.M., Hladik, M.L., Smalling, K., Johnson, P.G., Grear, D.A., Rose, J.P., and Halstead, B.J., 2026, Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii: Natural Areas Journal, v. 46, no. 1, p. 31-43, https://doi.org/10.3375/2162-4399-46.1.5.","productDescription":"13 p.","startPage":"31","endPage":"43","ipdsId":"IP-177308","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pinnacles National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.28328712668666,\n 36.572411923460166\n ],\n [\n -121.28328712668666,\n 36.38981467953627\n ],\n [\n -121.0867615157555,\n 36.38981467953627\n ],\n [\n -121.0867615157555,\n 36.572411923460166\n ],\n [\n -121.28328712668666,\n 36.572411923460166\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Macias, Daniel 0000-0002-4891-3656","orcid":"https://orcid.org/0000-0002-4891-3656","contributorId":349883,"corporation":false,"usgs":true,"family":"Macias","given":"Daniel","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Paul G.","contributorId":367069,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","middleInitial":"G.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":956678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":956679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956681,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273680,"text":"70273680 - 2026 - Hydrologic dynamics of ephemerally flooded playas in a dryland environment","interactions":[],"lastModifiedDate":"2026-01-22T15:09:31.639574","indexId":"70273680","displayToPublicDate":"2026-01-16T09:04:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic dynamics of ephemerally flooded playas in a dryland environment","docAbstract":"Ephemerally flooded playas are common in the southwestern United States and globally in drylands. Often formed in closed basins, playas are depressions which inundate infrequently from local precipitation and streamflow produced near the playa or from upland areas. Few studies have quantified the hydrologic connectivity between upland catchments and playas using observations. Here, we used rain gauge-corrected precipitation from weather radar and water level measurements in 18 playas of the Chihuahuan Desert to identify precipitation thresholds leading to playa inundation over a 6.4-year period. Geospatial data sets on topography, soil properties, and vegetation cover were employed to determine the controls on inundation. Only 9.4% of all precipitation events above 1 mm led to inundation, with 69.8% of all inundations occurring during the North American monsoon (NAM, July-September). Mean and standard deviations (Std) of runoff ratios at all playas were 2.74 ± 4.08% and 3.29 ± 5.19% for annual and NAM periods. At the annual scale, playa inundation occurred when mean precipitation thresholds of 18.3 ± 7.5 mm (event total) and 12.0 ± 4.5 mm/hr (60-min intensity) were exceeded. Across all playas, inundation occurrence and volume were related most strongly to precipitation metrics and catchment area, with secondary controls of soil and terrain properties. The explanatory power of the derived regressions describing the inundation response across the playas were significantly improved when considering their geological origin. As a result, the inundation response classification system could be applied to ephemeral playas in other arid and semiarid landscapes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038848","usgsCitation":"Kimsal, C.R., Vivoni, E.R., Sala, O.E., Monger, H.C., and McKenna, O.P., 2026, Hydrologic dynamics of ephemerally flooded playas in a dryland environment: Water Resources Research, v. 62, no. 1, e2024WR038848, 29 p., https://doi.org/10.1029/2024WR038848.","productDescription":"e2024WR038848, 29 p.","ipdsId":"IP-171696","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038848","text":"Publisher Index Page"},{"id":498832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jornada Experimental Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.95352847780691,\n 32.77776073898063\n ],\n [\n -106.95352847780691,\n 32.38877769427931\n ],\n [\n -106.58893585904038,\n 32.38877769427931\n ],\n [\n -106.58893585904038,\n 32.77776073898063\n ],\n [\n -106.95352847780691,\n 32.77776073898063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimsal, Charles R.","contributorId":365427,"corporation":false,"usgs":false,"family":"Kimsal","given":"Charles","middleInitial":"R.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivoni, Enrique R.","contributorId":365428,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","middleInitial":"R.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sala, Osvaldo E.","contributorId":365429,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","middleInitial":"E.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monger, H. Curtis","contributorId":365430,"corporation":false,"usgs":false,"family":"Monger","given":"H.","middleInitial":"Curtis","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":954291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":954292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273514,"text":"70273514 - 2026 - Monitoring recreation on federally managed lands and waters—Aspects of visitor use","interactions":[],"lastModifiedDate":"2026-01-21T15:04:49.092865","indexId":"70273514","displayToPublicDate":"2026-01-16T09:00:10","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":23167,"text":"SocArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Monitoring recreation on federally managed lands and waters—Aspects of visitor use","docAbstract":"Federally managed public lands and waters receive about 1 billion recreational visits each year. Data on these visitors can aid in guiding policy decisions, managing resources effectively, and communicating the economic contributions of lands and waters. This report explores the methods used by agencies to collect data on aspects of recreational visitor use to Federal lands and waters (apart from visitation numbers, which are the focus of a companion publication). Aspects of recreational visitor use include visitor demographics, recreational activity participation, visitor satisfaction, visitor attitudes and experiences, trip characteristics, and economic contributions. We review practices used to understand aspects of visitor use across seven Federal agencies, revealing similarities such as the use of visitor intercept surveys and coverage of similar topic area, and differences in how survey programs are operationalized and how specific questions on visitor surveys are worded. We also evaluate emerging technologies, such as geolocated social media and mobile device location data, for their potential to aid in understanding aspects of visitor use. This report concludes with potential opportunities to enhance data collection and coordination, ensuring cost-effective data collection and informed decision-making.
","language":"English","publisher":"SocArXiv","doi":"10.31235/osf.io/usq34_v1","usgsCitation":"Wilkins, E.J., Hanson, D., Boone, W., Wood, S., Crowley, C.S., and Schuster, R., 2026, Monitoring recreation on federally managed lands and waters—Aspects of visitor use: SocArXiv, preprint posted January 16, 2026, https://doi.org/10.31235/osf.io/usq34_v1.","productDescription":"71 p.","ipdsId":"IP-182473","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":954103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Dieta","contributorId":353967,"corporation":false,"usgs":false,"family":"Hanson","given":"Dieta","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boone, Whitney","contributorId":353968,"corporation":false,"usgs":false,"family":"Boone","given":"Whitney","affiliations":[{"id":82391,"text":"DOI Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":954105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Spencer A. 0000-0002-5794-2619","orcid":"https://orcid.org/0000-0002-5794-2619","contributorId":334970,"corporation":false,"usgs":false,"family":"Wood","given":"Spencer A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crowley, Christian S.L.","contributorId":203551,"corporation":false,"usgs":false,"family":"Crowley","given":"Christian","email":"","middleInitial":"S.L.","affiliations":[{"id":36651,"text":"Department of the Interior Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":954107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":954108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273991,"text":"70273991 - 2026 - Gerrard strain Rainbow Trout are not piscivorous in a shallow, polymictic reservoir","interactions":[],"lastModifiedDate":"2026-02-23T15:53:33.416884","indexId":"70273991","displayToPublicDate":"2026-01-16T08:47:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Gerrard strain Rainbow Trout are not piscivorous in a shallow, polymictic reservoir","docAbstract":"Objective
Georgetown Lake (Montana, USA) is renowned for its multispecies salmonid fishery. Although many anglers target kokanee Oncorhynchus nerka in Georgetown Lake, the body length of kokanee has typically been considered unsatisfactory. To reduce the density of kokanee and increase the average size, Montana Fish, Wildlife & Parks began stocking the piscivorous Gerrard strain of Rainbow Trout O. mykiss (hereafter “Gerrard”) in 2015 to consume kokanee. In 2020, preliminary evidence suggested that the average length of kokanee greater than 200 mm increased by almost 40 mm.
Methods
To assess the efficacy of biocontrol through the introduction of a piscivore to predate on kokanee, we examined the diet composition of all potential predators (three strains of Rainbow Trout and Brook Trout Salvelinus fontinalis) to determine the amount of predation on kokanee and to understand the feeding ecology of all potential predators.
Results
There was little evidence of piscivory in any predator and no evidence of Gerrards consuming kokanee. Gerrards exhibited a generalist feeding strategy, and there was dietary overlap and no difference in trophic position among Gerrards and other predators.
Conclusions
From a biological-control perspective, there is no benefit in continuing to stock Gerrards to reduce kokanee densities in Georgetown Lake. These findings underscore the challenge of predicting predator–prey relationships, as diet plasticity can lead to unexpected dynamics based on resource availability and habitat structure within aquatic ecosystems, highlighting the importance of evaluating management interventions, such as biocontrols, in different ecosystems.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf116","usgsCitation":"Furey, K.M., Guy, C.S., Liermann, B.W., Saffel, P., Schmetterling, D.A., 2026, Gerrard strain Rainbow Trout are not piscivorous in a shallow, polymictic reservoir: North American Journal of Fisheries Management, v. 46, no. 1, p. 247-258, https://doi.org/10.1093/najfmt/vqaf116.","productDescription":"12 p.","startPage":"247","endPage":"258","ipdsId":"IP-176634","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502571,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":500408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Georgetown Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.34012730042863,\n 46.2254998227597\n ],\n [\n -113.34012730042863,\n 46.1590036415387\n ],\n [\n -113.24568530830683,\n 46.1590036415387\n ],\n [\n -113.24568530830683,\n 46.2254998227597\n ],\n [\n -113.34012730042863,\n 46.2254998227597\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Furey, Kaitlyn M.","contributorId":366522,"corporation":false,"usgs":false,"family":"Furey","given":"Kaitlyn","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":956025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liermann, Bradley W.","contributorId":366523,"corporation":false,"usgs":false,"family":"Liermann","given":"Bradley","middleInitial":"W.","affiliations":[{"id":87492,"text":"Montana Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":956027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saffel, Patrick","contributorId":366524,"corporation":false,"usgs":false,"family":"Saffel","given":"Patrick","affiliations":[{"id":87492,"text":"Montana Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":956028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmetterling, David A.","contributorId":366525,"corporation":false,"usgs":false,"family":"Schmetterling","given":"David","middleInitial":"A.","affiliations":[{"id":87492,"text":"Montana Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":956029,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273508,"text":"70273508 - 2026 - An integrated mudstone facies classification scheme and revised interpretation of the sedimentologic processes driving carbon burial in the Cenomanian–Turonian Greenhorn Formation, Colorado, U.S.A.","interactions":[],"lastModifiedDate":"2026-01-21T15:13:13.114286","indexId":"70273508","displayToPublicDate":"2026-01-16T08:04:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"An integrated mudstone facies classification scheme and revised interpretation of the sedimentologic processes driving carbon burial in the Cenomanian–Turonian Greenhorn Formation, Colorado, U.S.A.","docAbstract":"Standardizing facies descriptions has proven key to integrating interpretations of depositional processes and environments from sedimentologic observations with geochemistry data for mudstone lithologies. Because of their fine-grained nature, high degree of compaction, and heterogeneous composition, standardizing methods for mudstone descriptions has proven difficult, but it is critical to formulating meaningful interpretations of the processes that govern the accumulation of organic-rich lithologies and their role in both petroleum systems and the global carbon cycle. In this study, we have developed a modified facies classification scheme for mudstone lithologies that incorporates sedimentologic and compositional observation at the hand-sample and thin-section scales with geochemical measurements, including bulk organic and inorganic geochemistry, to characterize these rocks and their variability more completely for improved interpretations of depositional environments during a low-order sea-level transgression. The facies described in this study are of the Cenomanian–Turonian Greenhorn Formation in the USGS #1 Portland Core drilled in Fremont County, Colorado. Strata of the Greenhorn Formation span Oceanic Anoxic Event 2 (OAE-2) and the preceding interval. Lithologies range from organic-rich argillaceous mudstones with varied sedimentary structures to organic-lean, highly bioturbated limestones. Six facies were identified, each differentiated by varied sedimentary structures and geochemical composition. These facies occur in a predictable stratigraphic stacking pattern that represents a low-order sea-level transgression with interpreted depositional environments ranging from terrigenous-dominated pro-delta and muddy continental shelf at the base of the interval to pelagic offshore marine at the top of the Greenhorn Formation. Though the facies are consistent with previous interpretations of depositional environments at this locale in the Cretaceous Western Interior Seaway during the Greenhorn cyclothem, the sedimentary processes governing the accumulation of organic-rich strata that have defined this interval are significantly revised. Variability in the proximity and intensity of bottom currents driven by storms and geostrophic flows were key to the accumulation of each facies, with significant sediment transport occurring even through deposition in the most oxygen-depleted bottom waters. The methodology and interpretations provided here are now being employed to basin-scale predictions of organic enrichment utilizing calibrated petrophysical methods. The approach and results from this study improve understanding of how organic and inorganic carbon was sequestered during perturbations to the global carbon cycle associated with events such as OAE-2.
","language":"English","publisher":"GeoScienceWorld","doi":"10.2110/jsr.2024.138","usgsCitation":"Flaum, J.A., French, K.L., Birdwell, J.E., and Timm, K.K., 2026, An integrated mudstone facies classification scheme and revised interpretation of the sedimentologic processes driving carbon burial in the Cenomanian–Turonian Greenhorn Formation, Colorado, U.S.A.: Journal of Sedimentary Research, v. 96, no. 1, p. 1-23, https://doi.org/10.2110/jsr.2024.138.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-172359","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":498799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Fremont County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.0710390315544,\n 38.78981661569202\n ],\n [\n -106.13236791392487,\n 37.86241312434697\n ],\n [\n -104.5947771998546,\n 37.80870262042711\n ],\n [\n -104.5650571117552,\n 38.76694004570902\n ],\n [\n -106.0710390315544,\n 38.78981661569202\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":954085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Timm, Kira K. 0000-0002-7439-4626","orcid":"https://orcid.org/0000-0002-7439-4626","contributorId":270009,"corporation":false,"usgs":true,"family":"Timm","given":"Kira","email":"","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}