{"pageNumber":"411","pageRowStart":"10250","pageSize":"25","recordCount":165309,"records":[{"id":70227284,"text":"70227284 - 2022 - Constraints on triple oxygen isotope kinetics","interactions":[],"lastModifiedDate":"2022-01-07T14:39:07.346576","indexId":"70227284","displayToPublicDate":"2021-11-23T08:38:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on triple oxygen isotope kinetics","docAbstract":"<p><span>Isotopic&nbsp;disequilibrium&nbsp;is not as well constrained as equilibrium, hindering interpretation of isotopic variations. Kinetic&nbsp;isotope effects, a subset of disequilibrium, are common in nature and have been assumed to be distinct from equilibrium and mass independent isotope effects based on underdeveloped criteria. Using basic physical principles, we provide needed mechanistic constraints on mass-dependent kinetic isotope effects for the triple&nbsp;oxygen isotope&nbsp;system. We find some kinetic isotope effects yield large isotopic variations, exceeding equilibrium, which could be mistaken for mass independent relationships. Meanwhile, other kinetic isotope effects are found to have triple oxygen isotope relationships that could be mistaken for equilibrium isotope effects. Comparison against prior case studies of&nbsp;thermal decomposition&nbsp;of&nbsp;calcite&nbsp;(CaCO</span><sub>3</sub><span>) and&nbsp;brucite&nbsp;(Mg(OH)</span><sub>2</sub><span>) further tests our results. Although oxygen is the focus here, our approach applies to any system with more than two isotopes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2021.120646","usgsCitation":"Hayles, J.A., and Killingsworth, B.A., 2022, Constraints on triple oxygen isotope kinetics: Chemical Geology, v. 589, 120646, 9 p., https://doi.org/10.1016/j.chemgeo.2021.120646.","productDescription":"120646, 9 p.","ipdsId":"IP-123158","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":449518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2021.120646","text":"Publisher Index Page"},{"id":394017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"589","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayles, Justin A.","contributorId":270977,"corporation":false,"usgs":false,"family":"Hayles","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":56237,"text":"Jacobs-JETS, Astromaterials Research and Exploration Science, Johnson Space Center National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":830270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killingsworth, Bryan Alan 0000-0001-6067-8604","orcid":"https://orcid.org/0000-0001-6067-8604","contributorId":270978,"corporation":false,"usgs":true,"family":"Killingsworth","given":"Bryan","email":"","middleInitial":"Alan","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":830271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226530,"text":"70226530 - 2022 - Bedrock gorge incision via anthropogenic meander cutoff","interactions":[],"lastModifiedDate":"2022-03-15T16:14:27.418718","indexId":"70226530","displayToPublicDate":"2021-11-22T08:12:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Bedrock gorge incision via anthropogenic meander cutoff","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Bedrock river-gorge incision represents a fundamental landscape-shaping process, but a dearth of observational data at &gt;10 yr timescales impedes understanding of gorge formation. I quantify 10<sup>2</sup><span>&nbsp;</span>yr rates and processes of gorge incision using historical records, field observations, and topographic and image analysis of a human-caused bedrock meander cutoff along the North Fork Fortymile River in Alaska (USA). Miners cut off the meander in 1900 CE, abruptly lowering local base level by 6 m and forcing narrowing and steepening of the channel across a knickpoint that rapidly incised upstream. Tectonic quiescence, consistent rock erosivity, and low millennial erosion rates provide ideal boundary conditions for this 10<sup>2</sup><span>&nbsp;</span>yr gorge-formation experiment. Initial fast knickpoint propagation (23 m/yr; 1900–1903 CE) slowed (4 m/yr; 1903–1981 CE) to diffusion (1981–2019 CE) as knickpoint slope decreased, yielding an ~350-m-long, 6-m-deep gorge within the pre–1900 CE channel. Today, diffusion dominates incision of a 500-m-long knickzone upstream of the gorge, where sediment transport likely limits ongoing adjustments to the anthropogenic cutoff. Results elucidate channel width, slope, discharge, and sediment dynamics consistent with a gradual transition from detachment- to transport-limited incision in fluvial adjustment to local base-level lowering.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49479.1","usgsCitation":"Bender, A., 2022, Bedrock gorge incision via anthropogenic meander cutoff: Geology, v. 50, no. 3, p. 321-325, https://doi.org/10.1130/G49479.1.","productDescription":"5 p.","startPage":"321","endPage":"325","ipdsId":"IP-131161","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":449522,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/geol.s.16942771","text":"External Repository"},{"id":436039,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94TE5C8","text":"USGS data release","linkHelpText":"Field Data Collected 2018 to Document Human-induced Gorge Incision at The Kink (Fortymile River, Alaska)"},{"id":392042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Fork Fortymile River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -142.05,\n              64.375\n            ],\n            [\n              -142.02,\n              64.375\n            ],\n            [\n              -142.02,\n              64.39\n            ],\n            [\n              -142.05,\n              64.39\n            ],\n            [\n              -142.05,\n              64.375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":827205,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70226953,"text":"70226953 - 2022 - Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States","interactions":[],"lastModifiedDate":"2022-03-15T16:40:05.579972","indexId":"70226953","displayToPublicDate":"2021-11-19T07:08:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Historical mine and mineral deposit datasets are routinely used to inform quantitative mineral assessment models, but they also can contain a wealth of supplementary qualitative information that is generally underutilized. We present a workflow that uses correspondence analysis, an exploratory tool commonly applied to multivariate abundance data, to better utilize qualitative data in these historical datasets. The workflow involves extraction of qualitative information on ore mineralogy from a mineral deposit database, attaches those data to a target geological feature, and analyzes the underlying data structure with correspondence analysis and hierarchical clustering. The output of correspondence analysis is inversely weighted to the relative frequency of ore minerals, and therefore rare mineral species (i.e., those with unusually low frequencies) can disproportionately contribute to the total variance of the dataset. We present a novel technique for aggregating frequencies of rare mineral species that minimizes this effect. We apply this workflow to evaluate how ore mineral assemblages in former and active mines vary in spatial relation to silicic calderas in the southwestern United States. The most common ore mineral associations observed spatially and genetically associated to calderas include those related to polymetallic, base metal-rich systems and epithermal Au–Ag systems. Three other groups of mineralized calderas were identified, including: (1) Hg–Sb mineralized calderas in the northern Great Basin and western Nevada volcanic field; (2) calderas associated with elevated abundances of Mn oxides/hydroxides, fluorite, and Be-minerals, mostly in eastern Utah and New Mexico; and (3) calderas with numerous U ± F deposits, which are located in central Colorado, the eastern Great Basin and in northern Nevada. The latter three groups are associated with economically significant critical mineral resources, including the Li resources of the McDermitt complex and Be associated with the Spor Mountain on the margin of the Thomas caldera complex. We conclude that correspondence analysis is a promising technique that can enhance data exploration of the qualitative information held within mineral deposit datasets. Consequently, it could have numerous applications for mineral potential mapping, resource assessment projects, and characterization of mineral systems.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s11053-021-09963-w","usgsCitation":"Rosera, J.M., and Coleman, D.S., 2022, Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States: Natural Resources Research, v. 31, p. 9-36, https://doi.org/10.1007/s11053-021-09963-w.","productDescription":"28 p.","startPage":"9","endPage":"36","ipdsId":"IP-130118","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":393297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.541015625,\n              31.12819929911196\n            ],\n            [\n              -102.48046875,\n              31.12819929911196\n            ],\n            [\n              -102.48046875,\n              42.16340342422401\n            ],\n            [\n              -124.541015625,\n              42.16340342422401\n            ],\n            [\n              -124.541015625,\n              31.12819929911196\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2021-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":828923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Drew S","contributorId":192880,"corporation":false,"usgs":false,"family":"Coleman","given":"Drew","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":828924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226722,"text":"70226722 - 2022 - Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales","interactions":[],"lastModifiedDate":"2021-12-07T12:54:56.960495","indexId":"70226722","displayToPublicDate":"2021-11-19T06:46:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales","docAbstract":"<div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara011\"><span>Increased nitrogen (N) deposition rates over the past century have affected both North American and European mountain&nbsp;lake ecosystems. Ecological sensitivity of mountain lakes to N deposition varies, however, because chemical and biological responses are modulated by local watershed and lake properties. We evaluated predictors of mountain lake sensitivity to atmospheric N deposition across North American and European mountain ranges and included as response variables dissolved inorganic N (DIN&nbsp;=&nbsp;N</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">NH<sub>4</sub><sup>+</sup>&nbsp;+&nbsp;N<img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">NO<sub>3</sub><sup>–</sup><span>) concentrations and&nbsp;phytoplankton&nbsp;biomass. Predictors of these responses were evaluated at three different spatial scales (hemispheric, regional, subregional) using regression tree, random forest, and generalized additive model (GAM) analysis. Analyses agreed that Northern Hemisphere mountain lake DIN was related to N deposition rates and smaller scale spatial variability (e.g., regional variability between North American and European lakes, and subregional variability between mountain ranges). Analyses suggested that DIN, N deposition, and subregional variability were important for Northern Hemisphere mountain lake phytoplankton biomass. Together, these findings highlight the need for finer-scale, subregional analyses (by mountain range) of lake sensitivity to N deposition. Subregional analyses revealed differences in predictor variables of lake sensitivity. In addition to N deposition rates, lake and watershed features such as land cover,&nbsp;bedrock&nbsp;geology, maximum lake depth (Z</span><sub>max</sub>), and elevation were common modulators of lake DIN. Subregional phytoplankton biomass was consistently positively related with total phosphorus (TP) in Europe, while North American locations showed variable relationships with N or P. This study reveals scale-dependent watershed and lake characteristics modulate mountain lake ecological responses to atmospheric N deposition and provides important context to inform empirically based management strategies.</p></div></div><div id=\"abs0003\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2021.117883","usgsCitation":"Burpee, B., Saros, J., Nanus, L., Baron, J., Brahney, J., Christianson, K., Gantz, T., Heard, A., Hundey, B., Koinig, K., Kopacek, J., Moser, K., Nydick, K., Oleksy, I., Sadro, S., Sommaruga, R., Vinebrooke, R., and Williams, J., 2022, Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales: Water Research, v. 209, 117883, 13 p., https://doi.org/10.1016/j.watres.2021.117883.","productDescription":"117883, 13 p.","ipdsId":"IP-129777","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":392565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burpee, Benjamin","contributorId":269807,"corporation":false,"usgs":false,"family":"Burpee","given":"Benjamin","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":827955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saros, Jasmine","contributorId":269808,"corporation":false,"usgs":false,"family":"Saros","given":"Jasmine","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":827956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanus, Leora","contributorId":269809,"corporation":false,"usgs":false,"family":"Nanus","given":"Leora","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":827957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brahney, Janice","contributorId":269810,"corporation":false,"usgs":false,"family":"Brahney","given":"Janice","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":827959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christianson, Kyle","contributorId":269811,"corporation":false,"usgs":false,"family":"Christianson","given":"Kyle","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":827960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gantz, Taylor","contributorId":269812,"corporation":false,"usgs":false,"family":"Gantz","given":"Taylor","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":827961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heard, Andi","contributorId":269813,"corporation":false,"usgs":false,"family":"Heard","given":"Andi","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":827962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hundey, Beth","contributorId":269814,"corporation":false,"usgs":false,"family":"Hundey","given":"Beth","email":"","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":827963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koinig, Karin","contributorId":269815,"corporation":false,"usgs":false,"family":"Koinig","given":"Karin","email":"","affiliations":[{"id":17993,"text":"University of Innsbruck","active":true,"usgs":false}],"preferred":false,"id":827964,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kopacek, Jiri","contributorId":269817,"corporation":false,"usgs":false,"family":"Kopacek","given":"Jiri","email":"","affiliations":[{"id":56037,"text":"České Budějovice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":827965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moser, Katrina","contributorId":269819,"corporation":false,"usgs":false,"family":"Moser","given":"Katrina","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":827966,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nydick, Koren","contributorId":269821,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":827967,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oleksy, Isabella A.","contributorId":269822,"corporation":false,"usgs":false,"family":"Oleksy","given":"Isabella A.","affiliations":[{"id":33412,"text":"Cary Institute for Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":827968,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sadro, Steven","contributorId":269824,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":827969,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sommaruga, Ruben","contributorId":269827,"corporation":false,"usgs":false,"family":"Sommaruga","given":"Ruben","email":"","affiliations":[{"id":17993,"text":"University of Innsbruck","active":true,"usgs":false}],"preferred":false,"id":827970,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vinebrooke, Rolf","contributorId":269829,"corporation":false,"usgs":false,"family":"Vinebrooke","given":"Rolf","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":827971,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williams, Jason","contributorId":269831,"corporation":false,"usgs":false,"family":"Williams","given":"Jason","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":827972,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70226494,"text":"70226494 - 2022 - Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California","interactions":[],"lastModifiedDate":"2021-11-22T12:31:58.451448","indexId":"70226494","displayToPublicDate":"2021-11-19T06:29:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California","docAbstract":"<div class=\"widget widget-BookChapterMainView widget-instance-BookChapterMainView\"><div class=\"content-inner-wrap\"><div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div class=\"category-section content-section js-content-section\" data-statsid=\"131783531\"><p>In a reconnaissance investigation aimed at interrogating the changing topography and paleogeography of the western United States prior to Basin and Range faulting, a preliminary study made use of U-Pb ages of detrital zircon suites from 16 samples from the Eocene–Oligocene Titus Canyon Formation, its overlying units, and correlatives near Death Valley. The Titus Canyon Formation unconformably overlies Neoproterozoic to Devonian strata in the Funeral and Grapevine Mountains of California and Nevada. Samples were collected from (1) the type area in Titus Canyon, (2) the headwaters of Monarch Canyon, and (3) unnamed Cenozoic strata exposed in a klippe of the Boundary Canyon fault in the central Funeral Mountains. Red beds and conglomerates at the base of the Titus Canyon Formation at locations 1 and 2, which contain previously reported 38–37 Ma fossils, yielded mostly Sierran batholith–age detrital zircons (defined by Triassic, Jurassic, and Cretaceous peaks). Overlying channelized fluvial sandstones, conglomerates, and minor lacustrine shale, marl, and limestone record an abrupt change in source region around 38–36 Ma or slightly later, from more local, Sierran arc–derived sediment to extraregional sources to the north. Clasts of red radiolarian-bearing chert, dark radiolarian chert, and quartzite indicate sources in the region of the Golconda and Roberts Mountains allochthons of northern Nevada. Sandstones intercalated with conglomerate contain increasing proportions of Cenozoic zircon sourced from south-migrating, caldera-forming eruptions at the latitude of Austin and Ely in Nevada with maximum depositional ages (MDAs) ranging from 36 to 24 Ma at the top of the Titus Canyon Formation. Carbonate clasts and ash-rich horizons become more prevalent in the overlying conglomeratic Panuga Formation (which contains a previously dated 15.7 Ma ash-flow tuff). The base of the higher, ash-dominated Wahguyhe Formation yielded a MDA of 14.4 Ma. The central Funeral Mountains section exposes a different sequence of units that, based on new data, are correlative to the Titus Canyon, Panuga, and Wahguyhe Formations at locations 1 and 2. An ash-flow tuff above its (unexposed) base provided a MDA of 34 Ma, and the youngest sample yielded a MDA of 12.7 Ma. The striking differences between age-correlative sections, together with map-based evidence for channelization, indicate that the Titus Canyon Formation and overlying units likely represent fluvial channel, floodplain, and lacustrine deposits as sediments mostly bypassed the region, moving south toward the Paleogene shoreline in the Mojave Desert. The profound changes in source regions and sedimentary facies documented in the Titus Canyon Formation took place during ignimbrite flareup magmatism and a proposed eastward shift of the continental divide from the axis of the Cretaceous arc to a new divide in central Nevada in response to thermal uplift and addition of magma to the crust. This uplift initiated south-flowing fluvial systems that supplied sediments to the Titus Canyon Formation and higher units.</p></div></div></div></div></div></div></div></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2555(14)","usgsCitation":"Miller, E.L., Raftrey, M., and Lundstern, J., 2022, Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California: GSA Special Papers, v. 555, no. 14, 20 p., https://doi.org/10.1130/2021.2555(14).","productDescription":"20 p.","ipdsId":"IP-120514","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":449529,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/spe.s.16850284","text":"External Repository"},{"id":391968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.4091796875,\n              31.052933985705163\n            ],\n            [\n              -108.544921875,\n              31.052933985705163\n            ],\n            [\n              -108.544921875,\n              42.4234565179383\n            ],\n            [\n              -124.4091796875,\n              42.4234565179383\n            ],\n            [\n              -124.4091796875,\n              31.052933985705163\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"555","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Elizabeth L. 0000-0002-6190-4826","orcid":"https://orcid.org/0000-0002-6190-4826","contributorId":269348,"corporation":false,"usgs":false,"family":"Miller","given":"Elizabeth","email":"","middleInitial":"L.","affiliations":[{"id":55934,"text":"Stanford University Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":827104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raftrey, Mark","contributorId":269420,"corporation":false,"usgs":false,"family":"Raftrey","given":"Mark","email":"","affiliations":[{"id":55934,"text":"Stanford University Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":827105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundstern, Jens-Erik 0000-0003-0000-8013","orcid":"https://orcid.org/0000-0003-0000-8013","contributorId":264189,"corporation":false,"usgs":true,"family":"Lundstern","given":"Jens-Erik","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":827106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226560,"text":"70226560 - 2022 - Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models","interactions":[],"lastModifiedDate":"2021-11-29T11:59:05.179476","indexId":"70226560","displayToPublicDate":"2021-11-19T05:56:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9933,"text":"Renewable Energy","active":true,"publicationSubtype":{"id":10}},"title":"Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Wave energy converters (WECs) will have to be arranged into arrays of many devices to extract commercially viable amounts of energy. To understand the potential coastal impacts of WEC arrays, most research to date has relied on wave-averaged models given their computational efficiency. However, it is unknown how accurate wave-averaged model predictions are given a lack of validation data and their inherent simplifications of various hydrodynamic processes (e.g., diffraction). This paper compares the predictions of coastal wave farm impacts from a coupled wave-averaged and flow model (Delft3D-SNL-SWAN), to a wave-resolving wave-flow model (SWASH) that intrinsically accounts for more of the relevant physics. Model predictions were compared using an idealized coastal<span>&nbsp;</span>bathymetry<span>&nbsp;</span>over a range of wave conditions and wave farm geometries. Both models predicted the largest impacts (changes to the nearshore hydrodynamics) for large and dense wave farms located close to the shore (1&nbsp;km) and the smallest impacts for the small and widely spaced farm at a greater offshore distance (3&nbsp;km). However, the wave-resolving model generally predicted somewhat larger impacts (i.e., changes to the nearshore wave heights, mean velocities and mean water levels). We also found that coupling the wave-averaged model to a flow model resulted in more realistic downstream predictions than the stand-alone wave-averaged model.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.renene.2021.11.048","usgsCitation":"David, D.R., Rijnsdorp, D.P., Hansen, J., Lowe, R.J., and Buckley, M.L., 2022, Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models: Renewable Energy, v. 183, p. 764-780, https://doi.org/10.1016/j.renene.2021.11.048.","productDescription":"17 p.","startPage":"764","endPage":"780","ipdsId":"IP-127957","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":392172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"David, Daniel R.","contributorId":269522,"corporation":false,"usgs":false,"family":"David","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":827356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rijnsdorp, Dirk P.","contributorId":261463,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":827357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jeff E.","contributorId":146437,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff E.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":827358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":827359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":827360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272988,"text":"70272988 - 2022 - Tallgrass prairie wildlife exposure to spray drift from commonly used soybean insecticides in Midwestern USA","interactions":[],"lastModifiedDate":"2025-12-15T14:53:37.799016","indexId":"70272988","displayToPublicDate":"2021-11-19T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tallgrass prairie wildlife exposure to spray drift from commonly used soybean insecticides in Midwestern USA","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Insecticides are widely used in the Midwestern USA to combat&nbsp;soybean aphids&nbsp;(</span><i>Aphis glycines</i><span>), a globally important crop pest. Broad-spectrum foliar insecticides such as&nbsp;chlorpyrifos, lambda-cyhalothrin, and&nbsp;bifenthrin&nbsp;(hereafter, “target insecticides”) are toxic to wildlife in laboratory settings; however, little information exists regarding drift and deposition of these insecticides in fragmented tallgrass prairie grasslands such as those in Minnesota, USA. To address this information gap, target insecticide&nbsp;spray drift&nbsp;and deposition were measured on passive samplers and arthropods in grasslands adjacent to&nbsp;crop fields&nbsp;in Minnesota. Samples were collected at focal soybean field sites immediately following target&nbsp;insecticide application&nbsp;and at reference&nbsp;corn&nbsp;field sites without target insecticide application. Target insecticides were detected 400&nbsp;m into grasslands at both focal and reference sites. Residues of chlorpyrifos, an insecticide especially toxic to&nbsp;pollinators&nbsp;and birds, were measured above the contact lethal dose (LD</span><sub>50</sub><span>) for&nbsp;honey bees&nbsp;(</span><span><i>Apis mellifera</i></span><span>) up to 25&nbsp;m from field edges in adjacent grasslands. Chlorpyrifos residues on arthropods were below the acute oral LD</span><sub>50</sub><span>&nbsp;for several common farmland bird species but were above the level shown to impair migratory orientation in white-crowed sparrows (</span><i>Zonotrichia leucophrys</i><span>). Deposition of target insecticides on passive samplers was inversely associated with distance from field edge and percent canopy cover of grassland vegetation, and positively associated with samplers placed at mid-canopy compared to ground level. Target insecticide deposition on arthropods had an inverse relationship with vertical vegetation density and was positively associated with maximum height of vegetation. Tallgrass prairie with cover ≥25&nbsp;m from row crop edges may provide wildlife habitat with lower exposure to&nbsp;foliar application&nbsp;insecticides. Prairie management regimes that increase percent canopy cover and density of vegetation may also reduce exposure of wildlife to these insecticides.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.151745","usgsCitation":"Goebel, K.M., Davros, N.M., Andersen, D.E., and Rice, P.J., 2022, Tallgrass prairie wildlife exposure to spray drift from commonly used soybean insecticides in Midwestern USA: Science of the Total Environment, v. 818, 151745, 12 p., https://doi.org/10.1016/j.scitotenv.2021.151745.","productDescription":"151745, 12 p.","ipdsId":"IP-129265","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Prairie Parkland (Temperate) Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.3646803842525,\n              49.094067016616435\n            ],\n            [\n              -96.82139013978414,\n              46.31165862298252\n            ],\n            [\n              -96.26711998945748,\n              43.48886448053719\n            ],\n            [\n              -92.86511753944964,\n              43.45889953292084\n            ],\n            [\n              -94.4261745166538,\n              45.11541774669415\n            ],\n            [\n              -95.1853374365835,\n              46.621226406366105\n            ],\n            [\n              -95.4319722176811,\n              48.10164365982148\n            ],\n            [\n              -95.07975427749903,\n              49.01618106723677\n            ],\n            [\n              -97.3646803842525,\n              49.094067016616435\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"818","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goebel, Katelin M.","contributorId":363800,"corporation":false,"usgs":false,"family":"Goebel","given":"Katelin","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":952045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davros, Nicole M.","contributorId":363801,"corporation":false,"usgs":false,"family":"Davros","given":"Nicole","middleInitial":"M.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":952046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Pamela J.","contributorId":363803,"corporation":false,"usgs":false,"family":"Rice","given":"Pamela","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":952047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229753,"text":"70229753 - 2022 - Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run","interactions":[],"lastModifiedDate":"2022-06-01T15:13:31.917051","indexId":"70229753","displayToPublicDate":"2021-11-18T10:02:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run","docAbstract":"<p><span>Estimating abundance of migrating fishes is challenging. While sonars can be deployed continuously, improper assumptions about unidirectional migration and complete spatial coverage can lead to inaccurate estimates. To address these challenges, we present a framework for combining fixed-location count data from a dual-frequency identification sonar (DIDSON) with movement data from acoustic telemetry to estimate spawning run abundance of lake sturgeon (</span><i>Acipenser fulvescens</i><span>). Acoustic telemetry data were used to estimate the probability of observing a lake sturgeon on the DIDSON and to determine the probability that a lake sturgeon passing the DIDSON site had passed the site previously during the season. Combining probabilities with DIDSON counts, using a Bayesian integrated model, we estimated the following abundances: 99 (42–215 credible interval, CI) in 2017, 131 (82–248 CI) in 2018, and 92 (47–184 CI) in 2019. Adding movement data generated better inferences on count data by incorporating fish behavior (e.g., multiple migrations in a single season) and its uncertainty into abundance estimates. This framework can be applied to count and movement data to estimate abundance of spawning runs of other migratory fishes in riverine systems.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0140","usgsCitation":"Izzo, L., Zydlewski, G.B., and Parrish, D.L., 2022, Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 6, p. 925-935, https://doi.org/10.1139/cjfas-2021-0140.","productDescription":"11 p.","startPage":"925","endPage":"935","ipdsId":"IP-127748","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":449533,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/51632","text":"External Repository"},{"id":397240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Winooski River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.28910827636717,\n              44.3768766587829\n            ],\n            [\n              -72.93342590332031,\n              44.3768766587829\n            ],\n            [\n              -72.93342590332031,\n              44.54448397425684\n            ],\n            [\n              -73.28910827636717,\n              44.54448397425684\n            ],\n            [\n              -73.28910827636717,\n              44.3768766587829\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":288673,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa K.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":838211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle Barbin","contributorId":288674,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"Barbin","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":838212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70254812,"text":"70254812 - 2022 - Native fish need a natural flow regime","interactions":[],"lastModifiedDate":"2024-06-10T14:30:27.297515","indexId":"70254812","displayToPublicDate":"2021-11-18T09:24:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Native fish need a natural flow regime","docAbstract":"<p><span>Water development has threatened the ecological integrity of riverine ecosystems. Increasing water demand, persistent drought, and climate change exacerbate the effects of habitat degradation and loss in altered systems such as the Colorado River basin. Today, biologists are challenged to identify management actions that benefit native fishes while not hindering water development or management. Herein, we discuss the importance of the natural flow regime for functioning riverine ecosystems and provide examples from four tributaries to the Green River, a major headwater branch of the Colorado River. These tributaries represent a gradient of impacts ranging from water abstraction to the point of complete seasonal desiccation to a relatively natural flow regime, and consequently have maintained different levels of instream habitat complexity and native fish persistence. Despite decades of management, endangered species lack self-sustaining populations and other native species have been extirpated from over half their ranges, which begs the question: can water development and fish conservation be balanced under current water laws and climate change-driven declines in runoff? Given the continued decline in freshwater biodiversity and abundance occurring across the globe, we contend that immediate designation of rivers with natural flow regimes as freshwater conservation areas will enhance native species recovery.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10703","usgsCitation":"Pennock, C., Budy, P., Macfarlane, W., Breen, M., Jimenez, J., and Schmidt, J., 2022, Native fish need a natural flow regime: Fisheries Magazine, v. 47, no. 3, p. 118-123, https://doi.org/10.1002/fsh.10703.","productDescription":"6 p.","startPage":"118","endPage":"123","ipdsId":"IP-130996","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.4907110693891,\n              42.5751470978968\n            ],\n            [\n              -112.27098956249205,\n              42.5751470978968\n            ],\n            [\n              -112.27098956249205,\n              36.331037654860665\n            ],\n            [\n              -105.4907110693891,\n              36.331037654860665\n            ],\n            [\n              -105.4907110693891,\n              42.5751470978968\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":337700,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":337701,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breen, Matthew J.","contributorId":337702,"corporation":false,"usgs":false,"family":"Breen","given":"Matthew J.","affiliations":[{"id":81036,"text":"Northeastern Regional Office","active":true,"usgs":false}],"preferred":false,"id":902625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jimenez, Justin","contributorId":337704,"corporation":false,"usgs":false,"family":"Jimenez","given":"Justin","affiliations":[{"id":81037,"text":"U. S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":902626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, John C.","contributorId":337707,"corporation":false,"usgs":false,"family":"Schmidt","given":"John C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231551,"text":"70231551 - 2022 - Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery","interactions":[],"lastModifiedDate":"2022-05-13T11:47:38.827389","indexId":"70231551","displayToPublicDate":"2021-11-18T06:43:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Macrophytes have recovered in rivers across the world, but long-term data and studies are lacking regarding community assembly and diversity changes coincident with macrophyte recovery. We investigated patterns of aquatic vegetation species composition and diversity in thousands of sites in the Upper Mississippi River, USA, spanning 21 y of monitoring and a period of vegetation recovery. We analyzed site-level compositional dissimilarity and environmental associations using non-metric multidimensional scaling, compared stability of lake-level assemblages over time with convex hulls, and assessed shared trends in assemblage dissimilarity at the pool scale using dynamic factor analysis. Site-level differences in aquatic vegetation assemblage structure were associated with water depth and substrate, and a gradient of species abundance and diversity was apparent. A common trend in assemblage dissimilarity over time and across contiguous floodplain lakes indicate that assemblage composition changed and diversity increased with considerable synchrony within the past 21 y. Shared trends across the 400-km study reach are indicative of 1 or more widespread, common drivers; however, neither hydrologic extremes nor turbidity explained vegetation assemblage patterns. Following several years of strong changes in composition and increased diversity, the vegetation assemblage displayed signs of increasing stability in some pools but not others. Further research is needed to identify drivers and mechanisms of aquatic vegetation assemblage expansion, assembly, and resilience, all of which will be applicable to the recovery of aquatic vegetation in floodplain systems worldwide.</p></div></div>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/717867","usgsCitation":"Bouska, K.L., Larson, D.M., Drake, D.C., Lund, E.M., Carhart, A., and Bales, K.R., 2022, Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery: Freshwater Science, v. 41, no. 1, p. 33-44, https://doi.org/10.1086/717867.","productDescription":"12 p.","startPage":"33","endPage":"44","ipdsId":"IP-126471","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":400622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, 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,{"id":70228080,"text":"70228080 - 2022 - A science agenda to inform natural resource management decisions in an era of ecological transformation","interactions":[],"lastModifiedDate":"2022-02-04T14:15:37.916541","indexId":"70228080","displayToPublicDate":"2021-11-17T07:27:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"A science agenda to inform natural resource management decisions in an era of ecological transformation","docAbstract":"<p class=\"chapter-para\">Earth is experiencing widespread ecological transformation in terrestrial, freshwater, and marine ecosystems that is attributable to directional environmental changes, especially intensifying climate change. To better steward ecosystems facing unprecedented and lasting change, a new management paradigm is forming, supported by a decision-oriented framework that presents three distinct management choices: resist, accept, or direct the ecological trajectory. To make these choices strategically, managers seek to understand the nature of the transformation that could occur if change is accepted while identifying opportunities to intervene to resist or direct change. In this article, we seek to inspire a research agenda for transformation science that is focused on ecological and social science and based on five central questions that align with the resist–accept–direct (RAD) framework. Development of transformation science is needed to apply the RAD framework and support natural resource management and conservation on our rapidly changing planet.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biab102","usgsCitation":"Crausbay, S., Sofaer, H., Cravens, A.E., Chaffin, B.C., Clifford, K.R., Gross, J.E., Knapp, C.N., Lawrence, D.J., Magness, D., Miller-Rushing, A.J., Schuurman, G.W., and Stevens-Rumann, C.S., 2022, A science agenda to inform natural resource management decisions in an era of ecological transformation: BioScience, v. 72, no. 1, p. 71-90, https://doi.org/10.1093/biosci/biab102.","productDescription":"19 p.","startPage":"71","endPage":"90","ipdsId":"IP-130225","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research 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0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clifford, Katherine R. 0000-0002-1385-8765","orcid":"https://orcid.org/0000-0002-1385-8765","contributorId":259886,"corporation":false,"usgs":true,"family":"Clifford","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":833033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knapp, Corrine N.","contributorId":270993,"corporation":false,"usgs":false,"family":"Knapp","given":"Corrine","email":"","middleInitial":"N.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":833034,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lawrence, David J","contributorId":242819,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"J","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":833035,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Magness, Dawn","contributorId":147692,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","affiliations":[{"id":16903,"text":"U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge, Soldotna, AK, 99669, USA","active":true,"usgs":false}],"preferred":false,"id":833036,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller-Rushing, Abraham J.","contributorId":149650,"corporation":false,"usgs":false,"family":"Miller-Rushing","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":833037,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":833038,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stevens-Rumann, Camille S.","contributorId":274486,"corporation":false,"usgs":false,"family":"Stevens-Rumann","given":"Camille","email":"","middleInitial":"S.","affiliations":[{"id":56622,"text":"Forest Restoration Institute, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":833039,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70227288,"text":"70227288 - 2022 - RAD adaptive management for transforming ecosystems","interactions":[],"lastModifiedDate":"2022-01-07T13:28:56.204992","indexId":"70227288","displayToPublicDate":"2021-11-17T07:24:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"RAD adaptive management for transforming ecosystems","docAbstract":"<p class=\"chapter-para\">Intensifying global change is propelling many ecosystems toward irreversible transformations. Natural resource managers face the complex task of conserving these important resources under unprecedented conditions and expanding uncertainty. As once familiar ecological conditions disappear, traditional management approaches that assume the future will reflect the past are becoming increasingly untenable. In the present article, we place adaptive management within the resist–accept–direct (RAD) framework to assist informed risk taking for transforming ecosystems. This approach empowers managers to use familiar techniques associated with adaptive management in the unfamiliar territory of ecosystem transformation. By providing a common lexicon, it gives decision makers agency to revisit objectives, consider new system trajectories, and discuss RAD strategies in relation to current system state and direction of change. Operationalizing RAD adaptive management requires periodic review and update of management actions and objectives; monitoring, experimentation, and pilot studies; and bet hedging to better identify and tolerate associated risks.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/biab091","usgsCitation":"Lynch, A., Thompson, L., Morton, J., Beever, E.A., Clifford, M., Limpinsel, D., Magill, R.T., Magness, D.R., Melvin, T.A., Newman, R.A., Porath, M., Rahel, F.J., Reynolds, J.H., Schuurman, G.W., Sethi, S., and Wilkening, J.L., 2022, RAD adaptive management for transforming ecosystems: BioScience, v. 1, no. 72, p. 45-56, https://doi.org/10.1093/biosci/biab091.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-126735","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science 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Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":830291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clifford, Michael","contributorId":197077,"corporation":false,"usgs":false,"family":"Clifford","given":"Michael","email":"","affiliations":[],"preferred":false,"id":830292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Limpinsel, Douglas","contributorId":266193,"corporation":false,"usgs":false,"family":"Limpinsel","given":"Douglas","email":"","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":830293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magill, Robert T.","contributorId":266194,"corporation":false,"usgs":false,"family":"Magill","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish 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Dakota","active":true,"usgs":false}],"preferred":false,"id":830297,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Porath, Mark T.","contributorId":270986,"corporation":false,"usgs":false,"family":"Porath","given":"Mark T.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":830298,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830299,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reynolds, Joel H.","contributorId":140498,"corporation":false,"usgs":false,"family":"Reynolds","given":"Joel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":830300,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":830301,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":830302,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wilkening, Jennifer L. 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,{"id":70230113,"text":"70230113 - 2022 - Mercury exposure of tidal marsh songbirds in the northeastern United States and its association with nest survival","interactions":[],"lastModifiedDate":"2022-03-30T16:23:17.561463","indexId":"70230113","displayToPublicDate":"2021-11-16T11:13:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury exposure of tidal marsh songbirds in the northeastern United States and its association with nest survival","docAbstract":"<p><span>The biogeochemistry of tidal marsh sediments facilitates the transformation of mercury (Hg) into the biologically available form methylmercury (MeHg), resulting in elevated Hg exposures to tidal marsh wildlife. Saltmarsh and Acadian Nelson’s sparrows (</span><i>Ammospiza caudacutua</i><span>&nbsp;and&nbsp;</span><i>A. nelsoni subvirgatus</i><span>, respectively) exclusively inhabit tidal marshes, potentially experiencing elevated risk to Hg exposure, and have experienced range-wide population declines. To characterize spatial and temporal variation of Hg exposure in these species, we sampled total mercury (THg) in blood collected from 9 populations spanning 560 km of coastline, including individuals resampled within and among years. Using concurrent nesting studies, we tested whether THg was correlated with nest survival probabilities, an index of fecundity. Blood THg ranged from 0.074–3.373 µg/g ww across 170 samples from 127 individuals. We detected high spatial variability in Hg exposure, observing differences of more than 45-fold across all individuals and 8-fold in mean blood THg among all study plots, including 4-fold between study plots within 4 km. Intraindividual changes in blood Hg exposure did not vary systematically in time but were considerable, varying by up to 2-fold within and among years. Controlling for both species differences and maximum water level, the dominant driver of fecundity in this system, nest survival probability decreased by 10% across the full range of female blood THg concentrations observed. We conclude that Hg has the potential to impair songbird reproduction, potentially exacerbating known climate-change driven population declines from sea-level rise in saltmarsh and Acadian Nelson’s sparrows.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-021-02488-1","usgsCitation":"Ruskin, K.J., Herring, G., Eagles-Smith, C., Eiklor, A.B., Elphick, C.S., Etterson, M.A., Field, C.B., Longnecker, R.A., Kovach, A.I., Shriver, W.G., Walsh, J.F., and Olsen, B., 2022, Mercury exposure of tidal marsh songbirds in the northeastern United States and its association with nest survival: Ecotoxicology, v. 31, p. 208-220, https://doi.org/10.1007/s10646-021-02488-1.","productDescription":"13 p.","startPage":"208","endPage":"220","ipdsId":"IP-127238","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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       ],\n            [\n              -74.9322509765625,\n              38.90813299596705\n            ],\n            [\n              -74.7564697265625,\n              38.950865400919994\n            ],\n            [\n              -74.476318359375,\n              39.29179704377487\n            ],\n            [\n              -74.278564453125,\n              39.41922073655956\n            ],\n            [\n              -74.080810546875,\n              39.690280594818034\n            ],\n            [\n              -73.9215087890625,\n              40.3130432088809\n            ],\n            [\n              -73.927001953125,\n              40.49291502689579\n            ],\n            [\n              -74.102783203125,\n              40.50544628405211\n            ],\n            [\n              -74.2510986328125,\n              40.43858586704331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2021-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruskin, Katherine J","contributorId":289383,"corporation":false,"usgs":false,"family":"Ruskin","given":"Katherine","email":"","middleInitial":"J","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":839080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eiklor, Alyssa B.","contributorId":289543,"corporation":false,"usgs":false,"family":"Eiklor","given":"Alyssa","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":839082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elphick, Chris S","contributorId":289387,"corporation":false,"usgs":false,"family":"Elphick","given":"Chris","email":"","middleInitial":"S","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":839084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Etterson, Matthew A.","contributorId":108012,"corporation":false,"usgs":false,"family":"Etterson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":839085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Chrisopher B.","contributorId":199179,"corporation":false,"usgs":false,"family":"Field","given":"Chrisopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":839290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Longnecker, Rebecca A.","contributorId":289544,"corporation":false,"usgs":false,"family":"Longnecker","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":839086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kovach, Adrienne I. 0000-0002-6791-0610","orcid":"https://orcid.org/0000-0002-6791-0610","contributorId":218939,"corporation":false,"usgs":false,"family":"Kovach","given":"Adrienne","email":"","middleInitial":"I.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":839087,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shriver, W Greg","contributorId":289393,"corporation":false,"usgs":false,"family":"Shriver","given":"W","email":"","middleInitial":"Greg","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":839088,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walsh, James F.","contributorId":214333,"corporation":false,"usgs":false,"family":"Walsh","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":839089,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Olsen, Brian J.","contributorId":272508,"corporation":false,"usgs":false,"family":"Olsen","given":"Brian J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":839090,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70234215,"text":"70234215 - 2022 - Apparent age dependence of the fault weakening distance in rock friction","interactions":[],"lastModifiedDate":"2022-08-03T12:12:11.351725","indexId":"70234215","displayToPublicDate":"2021-11-15T07:10:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Apparent age dependence of the fault weakening distance in rock friction","docAbstract":"<div class=\"article-section__content en main\"><p>During rock friction experiments at large displacement, room temperature and humidity, and following a hold test, the fracture energy increases approximately as the square of the logarithm of hold duration. While it's been long known that failure strength increases with log hold time, here the slip weakening distance,<span>&nbsp;</span><i>d</i><sub><i>h</i></sub>, also increases. The weakening distance increase is large, hundreds of percent change over a few thousand seconds. The initial bare surface and simulated fault gouge experiments were conducted in rotary shear at 25&nbsp;MPa normal stress, 21&nbsp;MPa confining stress and at displacements greater than 100&nbsp;mm. In contrast, initially bare surface experiments at 5&nbsp;MPa normal stress, unconfined at displacements less than 10&nbsp;mm show effectively no change in<span>&nbsp;</span><i>d</i><sub><i>h</i></sub>. We attribute the difference to the presence of an appreciable shear zone that develops due to wear over significant displacements, confined at elevated normal stress. Prior published studies of sheared simulated fault gouge at short displacement show both acknowledged and unacknowledged increases in<span>&nbsp;</span><i>d</i><sub><i>h</i></sub><span>&nbsp;</span>that may relate to our observations. Since natural faults have well-developed shear zones, the observations have more direct relevance to earthquake nucleation than prior laboratory studies that use short displacement data and focus on frictional strength recovery alone. However, the physics underlying this increase in weakening distance are not known; candidates are compaction (Nakatani, 1998) and delocalization (Sleep et&nbsp;al., 2000). Additional caveats are that these are room temperature and humidity experiments, at a single normal stress that have not yet been reproduced in other laboratories.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB022772","usgsCitation":"Beeler, N.M., Rubin, A., Bhattacharya, P., Kilgore, B.D., and Tullis, T., 2022, Apparent age dependence of the fault weakening distance in rock friction: Journal of Geophysical Research, v. 127, e2021JB022772, 32 p., https://doi.org/10.1029/2021JB022772.","productDescription":"e2021JB022772, 32 p.","ipdsId":"IP-098151","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":449546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jb022772","text":"Publisher Index Page"},{"id":404748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","noUsgsAuthors":false,"publicationDate":"2022-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":848195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, Allan","contributorId":294514,"corporation":false,"usgs":false,"family":"Rubin","given":"Allan","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":848196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhattacharya, Path","contributorId":294515,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Path","email":"","affiliations":[{"id":63583,"text":"NISER","active":true,"usgs":false}],"preferred":false,"id":848197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":848198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tullis, Terry","contributorId":194801,"corporation":false,"usgs":false,"family":"Tullis","given":"Terry","affiliations":[],"preferred":false,"id":848199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265770,"text":"70265770 - 2022 - New insights on faulting and intrusion processes during the June 2007, East Rift Zone eruption of Kilauea volcano, Hawai'i","interactions":[],"lastModifiedDate":"2025-04-16T13:17:34.472644","indexId":"70265770","displayToPublicDate":"2021-11-12T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"New insights on faulting and intrusion processes during the June 2007, East Rift Zone eruption of Kilauea volcano, Hawai'i","docAbstract":"<p><span>The East Rift Zone (ERZ) of Kīlauea Volcano, Hawai'i, represents one of the most volcanically active regions in the world. The 2007 Father's Day (FD) dike intrusion, eruption, and accompanying slow-slip event (SSE) has been previously modeled using geodetic data to constrain the geometry of the intrusion and the timing and magnitude of the SSE. Here, we perform inversions of three interferometric synthetic aperture radar (InSAR) datasets and a new intensity offset tracking dataset to assess the effect of integrating intensity cross-correlation offsets into inversion problems and explore additional potential models for the intrusion geometry of the FD event based on this additional data. The overall lowest misfit single Okada model for all datasets opens 2.3&nbsp;m, strikes 73 degrees while dipping sub-vertically at 83 degrees, and extends approximately 2.9&nbsp;km to the ENE and 2.4&nbsp;km downdip. The differences are minor between complex en-echelon distributed Okada and decollement model of (Montgomery-Brown et al., 2010) or 3D-MBEM breaching models including multiple surface breaches and free-slipping decollement movement. Finally, we examine the static Coulomb stress changes for the proposed decollement fault created by our preferred model and a representative model of deep rift opening and find that deep rift zones dilation, not shallow ERZ intrusions, are likely modulating slip on the decollement.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2021.107425","usgsCitation":"Leeburn, J., Wauthier, C., Montgomery-Brown, E.K., and Gonzalez-Santana, J., 2022, New insights on faulting and intrusion processes during the June 2007, East Rift Zone eruption of Kilauea volcano, Hawai'i: Journal of Volcanology and Geothermal Research, v. 421, 107425, 14 p., https://doi.org/10.1016/j.jvolgeores.2021.107425.","productDescription":"107425, 14 p.","ipdsId":"IP-125424","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488262,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2021.107425","text":"Publisher Index Page"},{"id":484584,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.2908512348302,\n              19.41341967491155\n            ],\n            [\n              -155.2908512348302,\n              19.401793724963014\n            ],\n            [\n              -155.27525765813795,\n              19.401793724963014\n            ],\n            [\n              -155.27525765813795,\n              19.41341967491155\n            ],\n            [\n              -155.2908512348302,\n              19.41341967491155\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"421","noUsgsAuthors":false,"publicationDate":"2021-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Leeburn, J.","contributorId":353406,"corporation":false,"usgs":false,"family":"Leeburn","given":"J.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":933489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wauthier, C.","contributorId":353409,"corporation":false,"usgs":false,"family":"Wauthier","given":"C.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":933490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":933491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Santana, J.","contributorId":353412,"corporation":false,"usgs":false,"family":"Gonzalez-Santana","given":"J.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":933492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226477,"text":"70226477 - 2022 - Local variations in broadband sensor installations: Orientations, sensitivities, and noise levels","interactions":[],"lastModifiedDate":"2022-01-25T17:16:42.963846","indexId":"70226477","displayToPublicDate":"2021-11-11T07:23:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Local variations in broadband sensor installations: Orientations, sensitivities, and noise levels","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>As seismologists continue to place more stringent demands on data quality, accurately described metadata are becoming increasingly important. In order to better constrain the orientation and sensitivities of seismometers deployed in U.S. Geological Survey networks, the Albuquerque Seismological Laboratory (ASL) has recently begun identifying true north with a fiber optic gyroscope (FOG) and has developed methodologies to constrain mid-band, vertical component sensitivity levels to less than 1% in a controlled environment. However, questions remain regarding the accuracy of this new alignment technique as well as if instrument sensitivities and background noise levels are stable when the seismometers are installed in different environmental settings. In this study, we examine the stability and repeatability of these parameters by reinstalling two high-quality broadband seismometers (Streckeisen STS-2.5 and Nanometrics T-360 Global Seismographic Network (GSN) version) at different locations around the ASL and comparing them to each other and a reference STS-6 seismometer that stayed stationary for the duration of the experiment. We find that even in different environmental conditions, the sensitivities of the two broadband seismometers stayed stable to within 0.1% and that orientations attained using the FOG are generally accurate to within a degree. However, one install was off by 5° due to a mistake made by the installation team. These results indicate that while technology and methodologies are now in place to calibrate and orient a seismometer to within 1°, human error both during the installation and while producing the metadata is often a limiting factor. Finally, we find that background noise levels at short periods (0.1–1&nbsp;s) become noisier when the sensors are emplaced in unconsolidated materials, whereas the noise levels at long periods (30–100&nbsp;s) are not sensitive to local geological structure on the vertical components.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/S00024-021-02895-9","usgsCitation":"Ringler, A.T., and Anthony, R.E., 2022, Local variations in broadband sensor installations: Orientations, sensitivities, and noise levels: Pure and Applied Geophysics, v. 179, p. 217-231, https://doi.org/10.1007/S00024-021-02895-9.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-132445","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":449548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-021-02895-9","text":"Publisher Index Page"},{"id":391912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"179","noUsgsAuthors":false,"publicationDate":"2021-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":827071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":827072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226473,"text":"70226473 - 2022 - An evaluation of the timing accuracy of global and regional seismic stations and networks","interactions":[],"lastModifiedDate":"2022-01-06T17:31:51.70211","indexId":"70226473","displayToPublicDate":"2021-11-10T07:36:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the timing accuracy of global and regional seismic stations and networks","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Clock accuracy is a basic parameter of any seismic station and has become increasingly important for seismology as the community seeks to refine structures and dynamic processes of the Earth. In this study, we measure the arrival time differences of moderate repeating earthquakes with magnitude 5.0–5.9 in the time range of 1991–2017 at the same seismic stations by cross‐correlating their highly similar waveforms and thereby identify potential timing errors from the outliers of the measurements. The method has very high precision of about 10&nbsp;ms and shows great potential to be used for routine inspection of the timing accuracy of historical and future digital seismic data. Here, we report 5131 probable cases of timing errors from 451 global and regional stations available from the Incorporated Research Institutions for Seismology Data Management Center, ranging from several tens of milliseconds to over 10&nbsp;s. Clock accuracy seems to be a prevailing problem in permanent stations with long‐running histories. Although most of the timing errors have already been tagged with low timing quality, there are quite a few exceptions, which call for greater attention from network operators and the seismological community. In addition, seismic studies, especially those on temporal changes of the Earth’s media from absolute arrival times, should be careful to avoid misinterpreting timing errors as temporal changes, which is indeed a problem in some previous studies of the Earth’s inner core boundary.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210232","usgsCitation":"Yang, Y., Song, X., and Ringler, A.T., 2022, An evaluation of the timing accuracy of global and regional seismic stations and networks: Seismological Research Letters, v. 93, no. 1, p. 161-172, https://doi.org/10.1785/0220210232.","productDescription":"12 p.","startPage":"161","endPage":"172","ipdsId":"IP-133453","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":391915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Ying","contributorId":146330,"corporation":false,"usgs":false,"family":"Yang","given":"Ying","email":"","affiliations":[{"id":16673,"text":"Bond Life Sciences Center, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":827036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Xiaodong","contributorId":269403,"corporation":false,"usgs":false,"family":"Song","given":"Xiaodong","email":"","affiliations":[{"id":55969,"text":"Institute of Theoretical and Applied Geophysics, Peking University, Beijing, China; Hebei Hongshan Geophysical National Observation and Research Station, Peking University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":827037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":827038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226614,"text":"70226614 - 2022 - Riverscape approaches in practice: Perspectives and applications","interactions":[],"lastModifiedDate":"2022-03-15T16:16:03.600707","indexId":"70226614","displayToPublicDate":"2021-11-10T06:49:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Riverscape approaches in practice: Perspectives and applications","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Landscape perspectives in riverine ecology have been undertaken increasingly in the last 30 years, leading aquatic ecologists to develop a diverse set of approaches for conceptualizing, mapping and understanding ‘riverscapes’. Spatiotemporally explicit perspectives of rivers and their biota nested within the socio-ecological landscape now provide guiding principles and approaches in inland fisheries and watershed management. During the last two decades, scientific literature on riverscapes has increased rapidly, indicating that the term and associated approaches are serving an important purpose in freshwater science and management. We trace the origins and theoretical foundations of riverscape perspectives and approaches and examine trends in the published literature to assess the state of the science and demonstrate how they are being applied to address recent challenges in the management of riverine ecosystems. We focus on approaches for studying and visualizing rivers and streams with remote sensing, modelling and sampling designs that enable pattern detection as seen from above (e.g. river channel, floodplain, and riparian areas) but also into the water itself (e.g. aquatic organisms and the aqueous environment). Key concepts from landscape ecology that are central to riverscape approaches are heterogeneity, scale (resolution, extent and scope) and connectivity (structural and functional), which underpin spatial and temporal aspects of study design, data collection and analysis. Mapping of physical and biological characteristics of rivers and floodplains with high-resolution, spatially intensive techniques improves understanding of the causes and ecological consequences of spatial patterns at multiple scales. This information is crucial for managing river ecosystems, especially for the successful implementation of conservation, restoration and monitoring programs. Recent advances in remote sensing, field-sampling approaches and geospatial technology are making it increasingly feasible to collect high-resolution data over larger scales in space and time. We highlight challenges and opportunities and discuss future avenues of research with emerging tools that can potentially help to overcome obstacles to collecting, analysing and displaying these data. This synthesis is intended to help researchers and resource managers understand and apply these concepts and approaches to address real-world problems in freshwater management.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/brv.12810","usgsCitation":"Torgersen, C.E., Le Pichon, C., Fullerton, A.H., Dugdale, S.J., Duda, J.J., Giovannini, F., Tales, E., Belliard, J., Branco, P., Bergeron, N.E., Roy, M.L., Tonolla, D., Lamouroux, N., Capra, H., and Baxter, C.V., 2022, Riverscape approaches in practice: Perspectives and applications: Biological Reviews, v. 97, no. 2, p. 481-504, https://doi.org/10.1111/brv.12810.","productDescription":"24 p.","startPage":"481","endPage":"504","ipdsId":"IP-126568","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449553,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.inrae.fr/hal-03523099","text":"External Repository"},{"id":392293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":827492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le Pichon, Celine","contributorId":177136,"corporation":false,"usgs":false,"family":"Le Pichon","given":"Celine","email":"","affiliations":[],"preferred":false,"id":827493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":827494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugdale, Stephen J.","contributorId":269592,"corporation":false,"usgs":false,"family":"Dugdale","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":56000,"text":"School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK","active":true,"usgs":false}],"preferred":false,"id":827495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":827496,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giovannini, Floriane","contributorId":269593,"corporation":false,"usgs":false,"family":"Giovannini","given":"Floriane","email":"","affiliations":[{"id":56001,"text":"INRAE, DRISE (Department of Research, Economic Intelligence, Strategy and Evaluation), 1 rue Pierre-Gilles de Gennes, CS 10030, 92761 Antony, France","active":true,"usgs":false}],"preferred":false,"id":827497,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tales, Evelyne","contributorId":177137,"corporation":false,"usgs":false,"family":"Tales","given":"Evelyne","email":"","affiliations":[],"preferred":false,"id":827498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Belliard, Jerome","contributorId":177138,"corporation":false,"usgs":false,"family":"Belliard","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":827499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Branco, Paulo","contributorId":269594,"corporation":false,"usgs":false,"family":"Branco","given":"Paulo","email":"","affiliations":[{"id":56002,"text":"Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":827500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bergeron, Normand E.","contributorId":173374,"corporation":false,"usgs":false,"family":"Bergeron","given":"Normand","email":"","middleInitial":"E.","affiliations":[{"id":27216,"text":"INRS, Quebec","active":true,"usgs":false}],"preferred":false,"id":827501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roy, Mathieu L.","contributorId":269595,"corporation":false,"usgs":false,"family":"Roy","given":"Mathieu","email":"","middleInitial":"L.","affiliations":[{"id":56004,"text":"INRS (Institut national de la recherche scientifique), Centre Eau Terre Environnement, 490, rue de la Couronne, Québec (Québec) G1K 9A9, Canada","active":true,"usgs":false}],"preferred":false,"id":827502,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tonolla, Diego","contributorId":150694,"corporation":false,"usgs":false,"family":"Tonolla","given":"Diego","email":"","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":827503,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lamouroux, Nicolas","contributorId":269596,"corporation":false,"usgs":false,"family":"Lamouroux","given":"Nicolas","email":"","affiliations":[{"id":56005,"text":"INRAE, UR RIVERLY, 5 rue de la Doua, BP 32108, 69616 Villeurbanne Cedex, France","active":true,"usgs":false}],"preferred":false,"id":827504,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Capra, Herve","contributorId":269597,"corporation":false,"usgs":false,"family":"Capra","given":"Herve","email":"","affiliations":[{"id":56005,"text":"INRAE, UR RIVERLY, 5 rue de la Doua, BP 32108, 69616 Villeurbanne Cedex, France","active":true,"usgs":false}],"preferred":false,"id":827505,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Baxter, Colden V.","contributorId":172293,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":827506,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70233545,"text":"70233545 - 2022 - Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies","interactions":[],"lastModifiedDate":"2022-07-25T12:03:52.68174","indexId":"70233545","displayToPublicDate":"2021-11-09T07:00:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Environmental (e)DNA methods have enabled rapid, sensitive and specific inferences of taxa presence throughout diverse fields of ecological study. However, use of eDNA results for decision-making has been impeded by uncertainties associated with false positive tests putatively caused by sporadic or systemic contamination. Sporadic contamination is a process that is inconsistent across samples and systemic contamination occurs consistently over a group of samples. Here, we used empirical data and laboratory experiments to (i) estimate the sporadic contamination rate for each stage of a common, targeted eDNA workflow employing best practice quality control measures under simulated conditions of rare and common target DNA presence, (ii) determine the rate at which negative controls (i.e., “blanks”) detect varying concentrations of systemic contamination, and (iii) estimate the effort that would be required to consistently detect sporadic and systemic contamination. Sporadic contamination rates were very low across all eDNA workflow steps, and, therefore, an intractably high number of negative controls (&gt;100) would be required to determine occurrence of sporadic contamination with any certainty. Contrarily, detection of intentionally introduced systemic contamination was more consistent; therefore, very few negative controls (&lt;5) would be needed to consistently alert to systemic contamination. These results have considerable implications to eDNA study design when resources for sample analyses are constrained.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13549","usgsCitation":"Hutchins, P., Simantel, L.N., and Sepulveda, A., 2022, Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies: Molecular Ecology Resources, v. 22, no. 4, p. 1319-1329, https://doi.org/10.1111/1755-0998.13549.","productDescription":"11 p.","startPage":"1319","endPage":"1329","ipdsId":"IP-130308","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":436040,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94UHEPJ","text":"USGS data release","linkHelpText":"Quantitative polymerase chain reaction detection data for controlled DNA contamination experiments"},{"id":404414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":847377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simantel, Leah Nicole 0000-0003-0256-8858","orcid":"https://orcid.org/0000-0003-0256-8858","contributorId":293596,"corporation":false,"usgs":true,"family":"Simantel","given":"Leah","email":"","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":847379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":847378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229158,"text":"70229158 - 2022 - Proportions, timing, and re-equilibration progress during the 1959 Summit Eruption of Kīlauea: An example of magma mixing processes operating during OIB petrogenesis","interactions":[],"lastModifiedDate":"2022-03-01T12:45:14.255925","indexId":"70229158","displayToPublicDate":"2021-11-04T06:42:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Proportions, timing, and re-equilibration progress during the 1959 Summit Eruption of Kīlauea: An example of magma mixing processes operating during OIB petrogenesis","docAbstract":"<p class=\"chapter-para\">Petrographic and chemical analysis of scoria samples collected during the 1959 Kīlauea summit eruption illustrates the progress of thermal and chemical homogenization of the melts, and the gradual growth and/or re-equilibration of olivine phenocrysts, over the course of the eruption. Glass compositions show that thermal equilibration was largely complete within the span of the eruption, whereas chemical homogenization was a work in progress. The olivine phenocryst population, known to contain conspicuous antecrystic components, is also hybrid within the euhedral population. The bulk of the olivine reached the level of the erupting magma on November 18–19, 1959. Zoning patterns in olivine phenocrysts show that initially unzoned grains developed normal zoning by the end of the eruption. Reverse zoning in relatively Fe-rich olivine phenocrysts (interpreted as cognate to the stored magma) was progressively eliminated from November 21 to December 19, 1959, by diffusive re-equilibration between crystals and melt. Toward the end of the eruption, the only olivine composition in direct contact with the melt was Fo<sub>84–86</sub>, with the original rim compositional heterogeneity gone in 4–5&nbsp;weeks’ time. Activity in December 1959 differed from that in November, as high fountaining events were more closely spaced and almost all samples were picritic, with bulk MgO ≥16·5&nbsp;wt%. Three different levels were in play during the 1959 eruption: a deep source for high-MgO melts and forsteritic (Fo<sub>87–89</sub>) olivines, an intermediate source for the bulk of the stored magma, and a shallower source for the most differentiated magma. This model is consistent with geophysical, petrological and chemical observations. Comparison of the 1959 eruption with results from older explosive deposits suggests that stored and recharge melts and olivine from the deeper parts of Kīlauea’s plumbing are similar in composition to those observed or inferred in the 1959 eruption, so they behave similarly during extrusive and explosive periods alike.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egab091","usgsCitation":"Helz, R.L., 2022, Proportions, timing, and re-equilibration progress during the 1959 Summit Eruption of Kīlauea: An example of magma mixing processes operating during OIB petrogenesis: Journal of Petrology, v. 63, no. 1, egab091, 22 p., https://doi.org/10.1093/petrology/egab091.","productDescription":"egab091, 22 p.","ipdsId":"IP-118456","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":396590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.35354614257812,\n              19.361680514501174\n            ],\n            [\n              -155.17364501953125,\n              19.361680514501174\n            ],\n            [\n              -155.17364501953125,\n              19.467887015196908\n            ],\n            [\n              -155.35354614257812,\n              19.467887015196908\n            ],\n            [\n              -155.35354614257812,\n              19.361680514501174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Helz, Rosalind L. 0000-0003-1550-0684 rhelz@usgs.gov","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":1952,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind","email":"rhelz@usgs.gov","middleInitial":"L.","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":836801,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263655,"text":"70263655 - 2022 - Reply to “comment on ‘which earthquake accounts matter?’ by Susan E. Hough and Stacey S. Martin” by David J. Wald","interactions":[],"lastModifiedDate":"2025-02-19T15:39:24.335368","indexId":"70263655","displayToPublicDate":"2021-11-03T09:36:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reply to “comment on ‘which earthquake accounts matter?’ by Susan E. Hough and Stacey S. Martin” by David J. Wald","docAbstract":"<p><span>We thank David Wald (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf22\">Wald, 2021</a><span>; henceforth, W21) for his interest in our recent article (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf11\">Hough and Martin, 2021</a><span>; henceforth, HM21). Although different perspectives are vital in science, we are concerned that W21 misrepresents HM21 as an oblique criticism of the U.S. Geological Survey “Did You Feel It?” (DYFI) system, calling for HM21 to be retracted. Readers who are interested in the issues raised by HM21 and the statements made by us therein are referred to that article. In this brief reply, we respond to specific accusations made by W21 and return to the focus of HM21, calling attention to the extent to which macroseismic data sets and inferences drawn from them can be shaped by a lack of representation among individuals whose observations are available to science. HM21 never questioned the benefits of the community science DYFI project to science. HM21 noted, however, and we reiterate here, that community science also potentially benefits the community. Whether or not it matters for science, if participation in community science projects is unrepresentative across socioeconomic groups, it underscores the need for the scientific community to be proactive in its efforts to reach out to groups that have been underserved by current outreach and education programs. We appreciate this opportunity to continue the important conversation about representation.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210142","usgsCitation":"Hough, S.E., and Martin, S.S., 2022, Reply to “comment on ‘which earthquake accounts matter?’ by Susan E. Hough and Stacey S. Martin” by David J. Wald: Seismological Research Letters, v. 93, no. 1, p. 506-511, https://doi.org/10.1785/0220210142.","productDescription":"6 p.","startPage":"506","endPage":"511","ipdsId":"IP-130640","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Stacey S.","contributorId":140021,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":927676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226803,"text":"70226803 - 2022 - A simple low-cost approach for transport parameter determination in mountain rivers","interactions":[],"lastModifiedDate":"2022-01-25T17:30:19.88713","indexId":"70226803","displayToPublicDate":"2021-11-03T08:37:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"A simple low-cost approach for transport parameter determination in mountain rivers","docAbstract":"<p><span>A simplified low-cost approach to experimentally determine transport parameters in mountain rivers is described, with an emphasis on the longitudinal dispersion coefficient (</span><i>D</i><sub>L</sub><span>). The approach is based on a slug injection of table salt (NaCl) as a tracer and specific conductance readings at different locations downstream of the injection spot. Observed specific conductance readings are fit using the advection-dispersion equation with OTIS-P, yielding estimates of cross-sectional area and longitudinal dispersion coefficient for various stream reaches. Estimates of the&nbsp;</span><i>D</i><sub>L</sub><span>&nbsp;are used to assess the accuracy of several empirical equations reported in the literature. This allowed the determination of complementary transport parameters related to transient storage zones. The empirical equations yielded rather high&nbsp;</span><i>D</i><sub>L</sub><span>&nbsp;values, with some reaching up an order of magnitude higher to those obtained from tracer additions and OTIS-P. Overall, the proposed approach seems reliable and pertinent for river reaches of ca. 150 m in length.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3890","usgsCitation":"Castillo, D., Runkel, R.L., Duhalde, D., Pasten, P., Arumí, J., Oyarzun, J., Núñez, J., Maturana, H., and Oyarzun, R., 2022, A simple low-cost approach for transport parameter determination in mountain rivers: River Research and Applications, v. 38, no. 1, p. 173-181, https://doi.org/10.1002/rra.3890.","productDescription":"9 p.","startPage":"173","endPage":"181","ipdsId":"IP-129771","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":392855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Coquimbo Region, upper Elqui River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.58441162109375,\n              -30.27804437780013\n            ],\n            [\n              -69.95819091796875,\n              -30.27804437780013\n            ],\n            [\n              -69.95819091796875,\n              -29.807284450222504\n            ],\n            [\n              -70.58441162109375,\n              -29.807284450222504\n            ],\n            [\n              -70.58441162109375,\n              -30.27804437780013\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Castillo, Daniella","contributorId":270038,"corporation":false,"usgs":false,"family":"Castillo","given":"Daniella","email":"","affiliations":[{"id":56062,"text":"U. La Serena, Chile","active":true,"usgs":false}],"preferred":false,"id":828329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duhalde, Denisse","contributorId":267247,"corporation":false,"usgs":false,"family":"Duhalde","given":"Denisse","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":828331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pasten, Pablo","contributorId":270039,"corporation":false,"usgs":false,"family":"Pasten","given":"Pablo","email":"","affiliations":[{"id":56065,"text":"U. Católica de Chile, Chile","active":true,"usgs":false}],"preferred":false,"id":828332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arumí, José L.","contributorId":267250,"corporation":false,"usgs":false,"family":"Arumí","given":"José L.","affiliations":[{"id":49667,"text":"Universidad de Concepción","active":true,"usgs":false}],"preferred":false,"id":828333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyarzun, Jorge","contributorId":267244,"corporation":false,"usgs":false,"family":"Oyarzun","given":"Jorge","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":828334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Núñez, Jorge","contributorId":267246,"corporation":false,"usgs":false,"family":"Núñez","given":"Jorge","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":828335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maturana, Hugo","contributorId":267248,"corporation":false,"usgs":false,"family":"Maturana","given":"Hugo","email":"","affiliations":[{"id":27795,"text":"Universidad Católica del Norte","active":true,"usgs":false}],"preferred":false,"id":828336,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oyarzun, Ricardo","contributorId":267252,"corporation":false,"usgs":false,"family":"Oyarzun","given":"Ricardo","email":"","affiliations":[{"id":55455,"text":"Universidad de La Serena","active":true,"usgs":false}],"preferred":false,"id":828337,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70230085,"text":"70230085 - 2022 - Comment on “Which earthquake accounts matter” by Susan E. Hough and Stacey S. Martin","interactions":[],"lastModifiedDate":"2022-03-28T13:14:00.30453","indexId":"70230085","displayToPublicDate":"2021-11-03T08:10:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “Which earthquake accounts matter” by Susan E. Hough and Stacey S. Martin","docAbstract":"<p>In their analysis of the U.S. Geological Survey’s (USGS) “Did You Feel It?” (DYFI) data<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf8\">Hough and Martin (2021)</a><span>&nbsp;</span>claim, among other assertions, that the following:</p><ul class=\"bullet\"><li><p>Socioeconomic and geopolitical factors can introduce biases in the USGS’ characterization of earthquakes and their effects, especially if online data collection systems are not designed to be broadly accessible;</p></li><li><p>These biases can, in turn, potentially cascade in myriad ways, potentially shaping our understanding of an earthquake’s impact and the characterization of seismic hazard; and</p></li><li><p>Caution should be urged when relying on data from the DYFI system to characterize the distribution of shaking from large earthquakes in India and other parts of the world (outside of the United States).</p></li></ul><p><br></p><p>Claims of inequity in access, systematic data biases, or urging caution in the usage of data from critical governmental earthquake information systems should not be made, nor taken, lightly. Several assertions made by Hough and Martin (hereafter, H&amp;M) about the nature of DYFI contributors—and the data they provide—leave a false narrative concerning DYFI system accessibility and quality that H&amp;M have not adequately substantiated.</p><p>I describe several shortcomings of H&amp;M’s demographic statistics and methodology, focusing on four main concerns. First, DYFI has revolutionized and greatly facilitated access to reporting intensities, in contrast to H&amp;M claims to the contrary. Second, because DYFI does not directly collect demographic data other than the observer’s location, any demographic analyses require extraordinary inferences, well outside the normal bounds of sociodemographic analyses. Third, independent of accessibility and the geographic distribution of contributions from the public, the macroseismic data collected are nonetheless representative of the shaking and impact at each location, of quality, rapid, and thus extremely useful. Lastly, H&amp;M fail to cite critical and pertinent prior, highly relevant scholarly studies, and as such, they misrepresent the novelty of their own work as well as miss key practical matters detailed in those prior studies. Prior to rebutting what H&amp;M claim DYFI does not do, I will remind the reader the ways in which DYFI excels.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210072","usgsCitation":"Wald, D.J., 2022, Comment on “Which earthquake accounts matter” by Susan E. Hough and Stacey S. Martin: Seismological Research Letters, v. 93, no. 1, p. 500-505, https://doi.org/10.1785/0220210072.","productDescription":"6 p.","startPage":"500","endPage":"505","ipdsId":"IP-127085","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":397684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":838970,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70225685,"text":"70225685 - 2022 - Estimating abundance, temporary emigration and the pattern of density dependence in a cyclic snowshoe hare population in Yukon, Canada","interactions":[],"lastModifiedDate":"2022-01-25T17:09:13.595621","indexId":"70225685","displayToPublicDate":"2021-11-03T08:07:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance, temporary emigration and the pattern of density dependence in a cyclic snowshoe hare population in Yukon, Canada","docAbstract":"<div id=\"abstracts\"><div class=\"core-container\"><div>Estimates of demographic parameters based on capture-mark-recapture (CMR) methods may be biased when some individuals in the population are temporarily unavailable for capture (temporary emigration). We estimated snowshoe hare abundance, apparent survival, and probability of temporary emigration in a population of snowshoe hares (Lepus americanus Erxleben 1777) in the Yukon using Pollock’s robust design CMR model, and population density using spatially-explicit CMR models. Survival rates strongly varied among cyclic phases, seasons, and across five population cycles. We found strong evidence that temporary emigration was Markovian (i.e., non-random), suggesting that it varied among individuals that were temporary emigrant in the previous sampling period and those that were present in the sampled area. The probability of temporary emigration for individuals that were in the study area during the previous sampling occasion (γ´´) varied among cycles. Probability that individuals that were temporarily absent from the sampled area would remain temporary emigrants (γ´) showed strongly seasonal pattern, low in winter and high during summers. Snowshoe hare population density ranged from 0.017 (0.015–0.05) hares/ha to 4.43 (3.90–5.00) hares/ha and large-scale cyclical fluctuation. Autocorrelation functions and autoregressive analyses revealed that our study population exhibited statistically significant cyclic fluctuations, with a periodicity of 9-10 years.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2021-0139","usgsCitation":"Oli, M.K., Kenny, A.J., Boonstra, R., Boutin, S., Chaudhary, V., Hines, J.E., and Krebs, C., 2022, Estimating abundance, temporary emigration and the pattern of density dependence in a cyclic snowshoe hare population in Yukon, Canada: Canadian Journal of Zoology, v. 100, no. 1, p. 36-45, https://doi.org/10.1139/cjz-2021-0139.","productDescription":"10 p.","startPage":"36","endPage":"45","ipdsId":"IP-127809","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449562,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjz-2021-0139","text":"External Repository"},{"id":391314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140.2734375,\n              60.37042901631508\n            ],\n            [\n              -138.69140625,\n              60.06484046010452\n            ],\n            [\n              -123.48632812499999,\n              60.06484046010452\n            ],\n            [\n              -124.541015625,\n              60.88770004207789\n            ],\n            [\n              -126.5625,\n              60.930432202923335\n            ],\n            [\n              -128.583984375,\n              62.226996036319726\n            ],\n            [\n              -131.1328125,\n              64.28275952823394\n            ],\n            [\n              -132.451171875,\n              65.44000165965534\n            ],\n            [\n              -133.2421875,\n              66.33750501996518\n            ],\n            [\n              -133.9453125,\n              67.06743335108298\n            ],\n            [\n              -135.615234375,\n              67.1016555307692\n            ],\n            [\n              -136.40625,\n              68.78414378041504\n            ],\n            [\n              -138.955078125,\n              69.68761843185617\n            ],\n            [\n              -141.240234375,\n              69.77895177646761\n            ],\n            [\n              -141.328125,\n              60.457217797743944\n            ],\n            [\n              -140.2734375,\n              60.37042901631508\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":826244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenny, Alice J","contributorId":268237,"corporation":false,"usgs":false,"family":"Kenny","given":"Alice","email":"","middleInitial":"J","affiliations":[{"id":55604,"text":"Univ. of British Columbia","active":true,"usgs":false}],"preferred":false,"id":826245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boonstra, Rudy","contributorId":223009,"corporation":false,"usgs":false,"family":"Boonstra","given":"Rudy","affiliations":[],"preferred":false,"id":826246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boutin, Stan","contributorId":223010,"corporation":false,"usgs":false,"family":"Boutin","given":"Stan","email":"","affiliations":[],"preferred":false,"id":826247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaudhary, Vratika 0000-0001-7155-122X","orcid":"https://orcid.org/0000-0001-7155-122X","contributorId":238946,"corporation":false,"usgs":false,"family":"Chaudhary","given":"Vratika","email":"","affiliations":[{"id":47827,"text":"Univ. of FL.","active":true,"usgs":false}],"preferred":false,"id":826248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":826249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krebs, Charles J","contributorId":146456,"corporation":false,"usgs":false,"family":"Krebs","given":"Charles J","affiliations":[{"id":16701,"text":"Dept. of Zoology, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":826250,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70226446,"text":"70226446 - 2022 - Magmatism, migrating topography, and the transition from Sevier shortening to Basin and Range extension, western United States","interactions":[],"lastModifiedDate":"2021-11-19T12:56:53.852331","indexId":"70226446","displayToPublicDate":"2021-11-02T07:06:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Magmatism, migrating topography, and the transition from Sevier shortening to Basin and Range extension, western United States","docAbstract":"<div class=\"widget widget-BookChapterMainView widget-instance-BookChapterMainView\"><div class=\"content-inner-wrap\"><div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div class=\"category-section content-section js-content-section\" data-statsid=\"131715784\"><p>The paleogeographic evolution of the western U.S. Great Basin from the Late Cretaceous to the Cenozoic is critical to understanding how the North American Cordillera at this latitude transitioned from Mesozoic shortening to Cenozoic extension. According to a widely applied model, Cenozoic extension was driven by collapse of elevated crust supported by crustal thicknesses that were potentially double the present ~30–35 km. This model is difficult to reconcile with more recent estimates of moderate regional extension (≤50%) and the discovery that most high-angle, Basin and Range faults slipped rapidly ca. 17 Ma, tens of millions of years after crustal thickening occurred. Here, we integrated new and existing geochronology and geologic mapping in the Elko area of northeast Nevada, one of the few places in the Great Basin with substantial exposures of Paleogene strata. We improved the age control for strata that have been targeted for studies of regional paleoelevation and paleoclimate across this critical time span. In addition, a regional compilation of the ages of material within a network of middle Cenozoic paleodrainages that developed across the Great Basin shows that the age of basal paleovalley fill decreases southward roughly synchronous with voluminous ignimbrite flareup volcanism that swept south across the region ca. 45–20 Ma. Integrating these data sets with the regional record of faulting, sedimentation, erosion, and magmatism, we suggest that volcanism was accompanied by an elevation increase that disrupted drainage systems and shifted the continental divide east into central Nevada from its Late Cretaceous location along the Sierra Nevada arc. The north-south Eocene–Oligocene drainage divide defined by mapping of paleovalleys may thus have evolved as a dynamic feature that propagated southward with magmatism. Despite some local faulting, the northern Great Basin became a vast, elevated volcanic tableland that persisted until dissection by Basin and Range faulting that began ca. 21–17 Ma. Based on this more detailed geologic framework, it is unlikely that Basin and Range extension was driven by Cretaceous crustal overthickening; rather, preexisting crustal structure was just one of several factors that that led to Basin and Range faulting after ca. 17 Ma—in addition to thermal weakening of the crust associated with Cenozoic magmatism, thermally supported elevation, and changing boundary conditions. Because these causal factors evolved long after crustal thickening ended, during final removal and fragmentation of the shallowly subducting Farallon slab, they are compatible with normal-thickness (~45–50 km) crust beneath the Great Basin prior to extension and do not require development of a strongly elevated, Altiplano-like region during Mesozoic shortening.</p></div></div></div></div></div></div></div></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2555(13)","usgsCitation":"Lundstern, J., and Miller, E.L., 2022, Magmatism, migrating topography, and the transition from Sevier shortening to Basin and Range extension, western United States: GSA Special Papers, v. 555, no. 13, 23 p., https://doi.org/10.1130/2021.2555(13).","productDescription":"23 p.","ipdsId":"IP-120370","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science 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