{"pageNumber":"578","pageRowStart":"14425","pageSize":"25","recordCount":184660,"records":[{"id":70228541,"text":"70228541 - 2020 - Methods for estimating vital rates of greater sage-grouse broods: A review","interactions":[],"lastModifiedDate":"2022-02-14T20:52:41.251421","indexId":"70228541","displayToPublicDate":"2020-10-08T15:52:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Methods for estimating vital rates of greater sage-grouse broods: A review","docAbstract":"

Biologists use a variety of methods to estimate productivity and resource selection of birds. The effectiveness and suitability of each method depends on the study's objectives, but is also influenced by many important traits, including detection probability, disturbance of focal birds and sampling frequency. We reviewed 504 greater sage-grouse Centrocercus urophasianus papers published from 1990 to 2019 to document the most common brood survey methods used by investigators and summarized if and how they used brood survey data to estimate brood survival and detection probability. Of the 504 papers, 16.1% (n = 81) had useful information relevant to the review. The most common methods included daytime visual surveys (46.9%; n = 38), daytime flush surveys (33.3%; n = 27), nocturnal spotlight surveys (19.8%; n = 16), radio-tagged chicks (16.0%; n = 13), wing surveys (9.9%; n = 8), brood routes (4.9%; n = 4) and pointing dogs (4.9%; n = 4). Fifty-nine of the 81 papers used >1 method, only 2 of the 81 papers measured or reported detection probability, and none reported the level of disturbance caused by the method. Studies varied widely regarding the age of the brood when brood fate was confirmed (x̄ = 44.4 days post-hatch, range 14–84 days). The frequency of brood sampling visits also varied greatly among studies (range = 1.19–3.85 surveys/brood/week) and this variation complicates comparison in fecundity and survival estimates across studies. Furthermore, 35 papers used >1 maternal behavior as purported indicators of brood fate, but none of them documented how accurate their indicators were. Future studies could reduce variance in estimates of sage-grouse fecundity and brood survival by employing empirical methods to estimate detection probability, standardizing brood sampling methods and conducting trials to document the effects of hen or brood capture, handling and flushing on brood survival estimates. Moreover, the accuracy of commonly used indicators of brood fate, including maternal behaviors, flocking behavior and distance moved after flush needs verification.

","language":"English","publisher":"BioOne","doi":"10.2981/wlb.00700","usgsCitation":"Riley, I.P., and Conway, C.J., 2020, Methods for estimating vital rates of greater sage-grouse broods: A review: Wildlife Biology, v. 4, wlb.00700, 12 p., https://doi.org/10.2981/wlb.00700.","productDescription":"wlb.00700, 12 p.","ipdsId":"IP-117997","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00700","text":"Publisher Index Page"},{"id":395937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Ian P.","contributorId":272044,"corporation":false,"usgs":false,"family":"Riley","given":"Ian","email":"","middleInitial":"P.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":834835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215393,"text":"70215393 - 2020 - Patterns and isotopic composition of greenhouse gases under ice in lakes of interior Alaska","interactions":[],"lastModifiedDate":"2020-10-17T15:25:20.524564","indexId":"70215393","displayToPublicDate":"2020-10-08T10:20:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Patterns and isotopic composition of greenhouse gases under ice in lakes of interior Alaska","docAbstract":"

Arctic and boreal lake greenhouse gas emissions (GHG) are an important component of regional carbon (C) budgets. Yet the magnitude and seasonal patterns of lake GHG emissions are poorly constrained, because sampling is limited in these remote landscapes, particularly during winter and shoulder seasons. To better define patterns of under ice GHG content (and emissions potential at spring thaw), we surveyed carbon dioxide (CO2) and methane (CH4) concentrations and stable isotopic composition during winter of 2017 in 13 lakes in the arid Yukon Flats Basin of interior Alaska, USA. Partial pressures of CO2 and CH4 ranged over three orders of magnitude, were positively correlated, and CO2 exceeded CH4 at all but one site. Shallow, organic matter-rich lakes located at lower elevations tended to have the highest concentrations of both gases, though CH4 content was more heterogeneous and only abundant in oxygen-depleted lakes, while CO2 was negatively correlated to oxygen content. Isotopic values of CO2 spanned a narrow range (−10‰ to −23‰) compared to CH4, which ranged over 50‰ (−19‰ to −71‰), indicating CH4 source pathways and sink strength varied widely between lakes. Miller-Tans and Keeling plots qualitatively suggested two groups of lakes were present; one with isotopically enriched source CH4 possibly more dominated by acetoclastic methanogenesis, and one with depleted signatures suggesting a dominance of the hydrogenotrophic production. Overall, regional lake differences in winter under ice GHG content appear to track landscape position, oxygen, and organic matter content and composition, causing patterns to vary widely even within a relatively small geographic area of interior Alaska.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/abb493","usgsCitation":"O’Dwyer, M., Butman, D., Striegl, R.G., Dornblaser, M.M., Wickland, K.P., Kuhn, C.D., and Bogard, M.J., 2020, Patterns and isotopic composition of greenhouse gases under ice in lakes of interior Alaska: Environmental Research Letters, v. 15, no. 10, 105016, 12 p., https://doi.org/10.1088/1748-9326/abb493.","productDescription":"105016, 12 p.","ipdsId":"IP-116217","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/abb493","text":"Publisher Index Page"},{"id":379483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.677734375,\n 66.05371622067922\n ],\n [\n -141.0205078125,\n 66.05371622067922\n ],\n [\n -141.0205078125,\n 68.47992564291266\n ],\n [\n -149.677734375,\n 68.47992564291266\n ],\n [\n -149.677734375,\n 66.05371622067922\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Dwyer, Madeline","contributorId":243303,"corporation":false,"usgs":false,"family":"O’Dwyer","given":"Madeline","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":801985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":801986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":801987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":801988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":801989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuhn, Catherine D. 0000-0002-9220-630X","orcid":"https://orcid.org/0000-0002-9220-630X","contributorId":213255,"corporation":false,"usgs":false,"family":"Kuhn","given":"Catherine","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":801990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bogard, Matthew J. 0000-0001-9491-0328","orcid":"https://orcid.org/0000-0001-9491-0328","contributorId":213254,"corporation":false,"usgs":false,"family":"Bogard","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":801991,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205608,"text":"sim3443 - 2020 - Geologic map of the greater Portland metropolitan area and surrounding region, Oregon and Washington","interactions":[],"lastModifiedDate":"2022-03-10T17:43:21.40102","indexId":"sim3443","displayToPublicDate":"2020-10-08T09:21:19","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3443","displayTitle":"Geologic Map of the Greater Portland Metropolitan Area and Surrounding Region, Oregon and Washington","title":"Geologic map of the greater Portland metropolitan area and surrounding region, Oregon and Washington","docAbstract":"

The Portland-Vancouver-Hillsboro Metropolitan Area (metro area) has great scenic, natural, and cultural resources and is the major economic hub of Oregon. The metro area is subject to a variety of geologic hazards. Underthrusting of the oceanic plate along the Cascadia plate boundary fault, or megathrust, deforms the leading edge of North America and produces earthquakes on the megathrust and in the overlying plate. Rising magma from the deeper parts of the subduction zone produces active volcanoes that form the Cascades Arc, including Mount Hood and Mount St. Helens visible from Portland. Both volcanism and strong ground-shaking from earthquakes have impacted the metro area, most recently in the 1980 eruptions of Mount St. Helens and the 1993 magnitude (M) 5.7 Scotts Mills earthquake. Great offshore earthquakes as large as M 9 on the Cascadia megathrust have shaken the metro area every 500 years or so, most recently in 1700. Giant floods have inundated the metro area, from the ice age Missoula floods about 20,000 to 15,000 years ago to the flood generated by collapse of the Bridge of the Gods landslide dam on the Columbia River around 1421–1447 A.D.

Geologic resources of the metro area include the southern part of the Mist Natural Gas Storage Field in the northwest corner of the map area, the Columbia South Shore Well Field aquifer in the Portland Basin, the Columbia River Basalt aquifer of the Tualatin Basin, and the Tualatin Basin Aquifer Storage and Recovery projects. The metro area includes several well-known American Viticultural Areas in the western part of the map area and numerous transportation, electrical transmission, and pipeline corridors.

We created this map to provide a uniform, modern geologic database for the greater Portland metro area to better understand its tectonic setting, active faults, volcanoes, landslide hazards, and distribution of geologic materials and resources. Information in this database will be used to improve seismic hazard and resource assessments in this economically important region.

NOTE: The sheet 1 map was divided into two parts—sheet 1 (north) and sheet 1 (south)—to facilitate printing and plotting the map.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3443","collaboration":"Prepared in Cooperation with Oregon Department of Geology and Mineral Industries and Washington Geological Survey","usgsCitation":"Wells, R.E., Haugerud, R.A., Niem, A.R., Niem, W.A., Ma, L., Evarts, R.C., O’Connor, J.E., Madin, I.P., Sherrod, D.R., Beeson, M.H., Tolan, T.L., Wheeler, K.L., Hanson, W.B., and Sawlan, M.G., 2020, Geologic map of the greater Portland metropolitan area and surrounding region, Oregon and Washington: U.S. Geological Survey Scientific Investigations Map 3443, pamphlet 55 p., 2 sheets, scale 1:63,360, https://doi.org/10.3133/sim3443.","productDescription":"Pamphlet: iv, 55 p.; 2 Sheets: 58.43 x 60.16 inches and 38.76 x 30.86 inches; Table 3; Database; Metadata; Read Me","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081424","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":396997,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_sheet1_south.pdf","text":"Sheet 1 South","size":"55 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- NOTE: The sheet 1 map was divided into two parts—sheet 1 (north) and sheet 1 (south)—to facilitate printing and plotting the map."},{"id":396996,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_sheet1_north.pdf","text":"Sheet 1 North","size":"55 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- NOTE: The sheet 1 map was divided into two parts—sheet 1 (north) and sheet 1 (south)—to facilitate printing and plotting the map."},{"id":376987,"rank":8,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3443/database","text":"Database directory"},{"id":376984,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3443/metadata","text":"Metadata directory"},{"id":376983,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_table3.xlsx","text":"Table 3","size":"110 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":376982,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_sheet2.pdf","text":"Sheet 2","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":376981,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_sheet1.pdf","text":"Sheet 1","size":"80 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":376980,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_readme.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":376979,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3443/sim3443_pamphlet.pdf","text":"Pamphlet","size":"28 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":376953,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3443/covrthb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Greater Portland metropolitan area and surrounding region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.20617675781251,\n 44.95702412512118\n ],\n [\n -122.0855712890625,\n 44.95702412512118\n ],\n [\n -122.0855712890625,\n 46.145588688591964\n ],\n [\n -123.20617675781251,\n 46.145588688591964\n ],\n [\n -123.20617675781251,\n 44.95702412512118\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-10-08","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":149772,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":771833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haugerud, Ralph A. 0000-0001-7302-4351 rhaugerud@usgs.gov","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":2691,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"rhaugerud@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":771838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niem, Alan R.","contributorId":219264,"corporation":false,"usgs":false,"family":"Niem","given":"Alan","email":"","middleInitial":"R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":771839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niem, Wendy A.","contributorId":219265,"corporation":false,"usgs":false,"family":"Niem","given":"Wendy","email":"","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":771840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ma, Lina","contributorId":204020,"corporation":false,"usgs":false,"family":"Ma","given":"Lina","email":"","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":771834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evarts, Russell C. 0000-0001-5103-9085","orcid":"https://orcid.org/0000-0001-5103-9085","contributorId":219266,"corporation":false,"usgs":false,"family":"Evarts","given":"Russell C.","affiliations":[],"preferred":false,"id":771841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Madin, Ian P.","contributorId":66404,"corporation":false,"usgs":true,"family":"Madin","given":"Ian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":771835,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":771836,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beeson, Marvin H.","contributorId":219267,"corporation":false,"usgs":false,"family":"Beeson","given":"Marvin","email":"","middleInitial":"H.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":771842,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tolan, Terry L.","contributorId":219268,"corporation":false,"usgs":false,"family":"Tolan","given":"Terry","email":"","middleInitial":"L.","affiliations":[{"id":39980,"text":"Intera Geoscience and Engineering Solutions","active":true,"usgs":false}],"preferred":false,"id":771843,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wheeler, Karen L.","contributorId":219269,"corporation":false,"usgs":false,"family":"Wheeler","given":"Karen L.","affiliations":[],"preferred":false,"id":771844,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hanson, William B.","contributorId":219270,"corporation":false,"usgs":false,"family":"Hanson","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":39981,"text":"private consultant","active":true,"usgs":false}],"preferred":false,"id":771845,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sawlan, Michael G. 0000-0003-0637-2051 msawlan@usgs.gov","orcid":"https://orcid.org/0000-0003-0637-2051","contributorId":2291,"corporation":false,"usgs":true,"family":"Sawlan","given":"Michael","email":"msawlan@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":771846,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70215551,"text":"70215551 - 2020 - Getting to the root of restoration: Considering root traits for improved restoration outcomes under drought and competition","interactions":[],"lastModifiedDate":"2020-11-30T16:51:47.983035","indexId":"70215551","displayToPublicDate":"2020-10-08T08:29:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Getting to the root of restoration: Considering root traits for improved restoration outcomes under drought and competition","docAbstract":"A foundational goal of trait‐based ecology, including trait‐based restoration, is to link specific traits to community assembly, biodiversity, and ecosystem function. Despite a growing awareness of the importance of belowground traits for ecological processes, a synthesis of how to root traits can inform restoration of terrestrial plant communities is lacking. We reviewed and summarized existing literature focused on root traits in relation to plant performance measures (i.e. survival, establishment, productivity) in the contexts of drought and competition (including invasion). Root traits related to belowground resource acquisition (e.g. high specific root length, deep roots) are frequently related to drought avoidance (i.e. a plant strategy based on optimizing water uptake to maintain function), whereas studies relating root traits to drought tolerance (i.e. a plant strategy that allows plants to withstand low hydration) remain limited. More studies have linked root traits to plant competitive effects (i.e. the influence of a plant has on neighbors) than to competitive responses (i.e. a plant's ability to resist the effects of neighbors). Because plants with acquisitive traits decrease resources to the detriment of neighbors, root traits associated with rapid resource acquisition (e.g. high specific root length) may be important for understanding competitive effects. Albeit more limited, research suggests root traits associated with resource conservation or stress tolerance (e.g. high root tissue density, high root diameter) may elucidate mechanisms related to competitive responses. Re‐vegetation outcomes may be improved by considering root traits, but only if clear links are made between traits and plant performance in varied contexts.","language":"English","publisher":"Wiley","doi":"10.1111/rec.13291","usgsCitation":"Garbowski, M., Avera, B., Bertram, J.H., Courkamp, J., Gray, J., Hein, K., Lawrence, R., McIntosh, M., McClelland, S., Post, A., Slette, I.J., Winkler, D.E., and Brown, C.S., 2020, Getting to the root of restoration: Considering root traits for improved restoration outcomes under drought and competition: Restoration Ecology, v. 28, no. 6, p. 1384-1395, https://doi.org/10.1111/rec.13291.","productDescription":"12 p.","startPage":"1384","endPage":"1395","ipdsId":"IP-120212","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":455097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13291","text":"Publisher Index Page"},{"id":379646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Garbowski, M.","contributorId":243608,"corporation":false,"usgs":false,"family":"Garbowski","given":"M.","affiliations":[],"preferred":false,"id":802708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avera, B.","contributorId":243609,"corporation":false,"usgs":false,"family":"Avera","given":"B.","email":"","affiliations":[],"preferred":false,"id":802709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertram, J. H.","contributorId":243610,"corporation":false,"usgs":false,"family":"Bertram","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":802710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courkamp, J.S.","contributorId":243611,"corporation":false,"usgs":false,"family":"Courkamp","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":802711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, J.","contributorId":100683,"corporation":false,"usgs":true,"family":"Gray","given":"J.","affiliations":[],"preferred":false,"id":802712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hein, K.M.","contributorId":243612,"corporation":false,"usgs":false,"family":"Hein","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":802713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, R.","contributorId":101430,"corporation":false,"usgs":false,"family":"Lawrence","given":"R.","email":"","affiliations":[],"preferred":false,"id":802714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McIntosh, M.","contributorId":243613,"corporation":false,"usgs":false,"family":"McIntosh","given":"M.","email":"","affiliations":[],"preferred":false,"id":802715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McClelland, S.","contributorId":95633,"corporation":false,"usgs":false,"family":"McClelland","given":"S.","email":"","affiliations":[],"preferred":false,"id":802716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Post, A.","contributorId":51033,"corporation":false,"usgs":false,"family":"Post","given":"A.","email":"","affiliations":[],"preferred":false,"id":802717,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Slette, Ingrid J.","contributorId":187583,"corporation":false,"usgs":false,"family":"Slette","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":802718,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":802719,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brown, C. S.","contributorId":80675,"corporation":false,"usgs":false,"family":"Brown","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":802720,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70215232,"text":"70215232 - 2020 - A latent process model approach to improve the utility of indicator species","interactions":[],"lastModifiedDate":"2020-12-14T16:42:07.776742","indexId":"70215232","displayToPublicDate":"2020-10-08T07:35:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"A latent process model approach to improve the utility of indicator species","docAbstract":"

The state of an ecosystem is governed by dynamic biotic and abiotic processes, which can only be partially observed. Costs associated with measuring each component limit the feasibility of comprehensive assessments of target ecosystems. Instead, indicator species are recommended as a surrogate index. While this is an attractive concept, indicator species have rarely proven to be an effective tool for monitoring ecosystems and informing management decisions. One deficiency in the existing theoretical development of indicator species may be overcome with the incorporation of latent (i.e. unobservable) states. Advancements in quantitative ecological models allow for latent‐state models to be tested empirically, facilitating the robust evaluation and practical use of indicator species for ecosystem science and management. Here, we extend the existing conceptual models of indicator species to include a direct relationship between an indicator species, ecosystem change drivers and latent processes and variables. Our approach includes explicit consideration of important estimation uncertainty and narrows the range of values a latent variable may take by relating it to measurable attribute(s) of an indicator species. We demonstrate the utility of this approach by relating a commonly cited indicator species, the red‐backed salamander Plethodon cinereus, to a typical latent process of interest – ecosystem health.

","language":"English","publisher":"Wiley","doi":"10.1111/oik.07334","usgsCitation":"Fleming, J.E., Sutherland, C., Sterrett, S., and Campbell Grant, E.H., 2020, A latent process model approach to improve the utility of indicator species: Oikos, v. 129, no. 12, p. 1753-1762, https://doi.org/10.1111/oik.07334.","productDescription":"10 p.","startPage":"1753","endPage":"1762","ipdsId":"IP-118473","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":801243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":801244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sterrett, Sean C 0000-0003-1356-2785","orcid":"https://orcid.org/0000-0003-1356-2785","contributorId":242972,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean C","affiliations":[{"id":38445,"text":"Monmouth University","active":true,"usgs":false}],"preferred":false,"id":801245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":801246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214611,"text":"sim3463 - 2020 - Bathymetry of Deadmans Lake, Golf Course Reservoir 9, Ice Lake, Kettle Lakes 1–3, and Non-Potable Reservoirs 1–4 at the U.S. Air Force Academy, Colorado, 2019","interactions":[],"lastModifiedDate":"2020-10-07T23:40:27.941947","indexId":"sim3463","displayToPublicDate":"2020-10-07T15:35:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3463","displayTitle":"Bathymetry of Deadmans Lake, Golf Course Reservoir 9, Ice Lake, Kettle Lakes 1–3, and Non-Potable Reservoirs 1–4 at the U.S. Air Force Academy, Colorado, 2019","title":"Bathymetry of Deadmans Lake, Golf Course Reservoir 9, Ice Lake, Kettle Lakes 1–3, and Non-Potable Reservoirs 1–4 at the U.S. Air Force Academy, Colorado, 2019","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Air Force Academy (USAFA), carried out bathymetric and topographic surveys to characterize the volume of Deadmans Lake, Golf Course Reservoir 9, Ice Lake, Kettle Lakes 1–3, and Non-Potable Reservoirs 1–4 at the U.S. Air Force Academy, Colorado. Bathymetric maps of each lake and reservoir are presented with figures of the elevation-volume curves. The bathymetric surveys were carried out from October 15, 2019, to December 12, 2019, using a manually operated, boat-mounted, single-beam echo sounder integrated with a Real-Time Kinematic Global Navigation Satellite Systems receiver. Topographic surveys were carried out during the same time period using Real-Time Kinematic Global Navigation Satellite System to collect elevation data at and above the water surface and up to the elevation of the dam or spillway at the time of the surveys. The topographic and bathymetric datasets were imported into Esri ArcMap 10.7.1. The combined survey points were then interpolated into digital elevation models, which were used to determine lake or reservoir volumes that correspond to water-surface elevations between the lakebed and the approximate top of the dam or spillway.

This report provides an updated characterization of storage capacity and improved understanding of present (2019) water capacity in the lakes and reservoirs at the USAFA. In addition, these surveys serve as a baseline that could be compared with future surveys of the lakes and reservoirs. The differences in these and future surveys could then be used to determine sedimentation infill rates and provide estimates of the lifespan of the lakes and reservoirs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3463","collaboration":"Prepared in cooperation with the U.S. Air Force Academy","usgsCitation":"Kohn, M.S., and Hempel, L.A., 2020, Bathymetry of Deadmans Lake, Golf Course Reservoir 9, Ice Lake, Kettle Lakes 1–3, and Non-Potable Reservoirs 1–4 at the U.S. Air Force Academy, Colorado, 2019: U.S. Geological Survey Scientific Investigations Map 3463, pamphlet 12 p., https://doi.org/10.3133/sim3463.","productDescription":"Pamphlet: vi, 12 p.; 1 Sheet: 36.00 x 32.00 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-114390","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":378914,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3463/coverthb.jpg"},{"id":378915,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3463/sim3463_map.pdf","text":"Map","size":"9.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3463"},{"id":378917,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTH0RO","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Survey and Bathymetric Data of Deadmans Lake, Golf Course Reservoir 9, Ice Lake, Kettle Lakes 1-3, and Non-Potable Reservoirs 1-4 at the U.S. Air Force Academy, Colorado, 2019 (ver. 1.1, June 2020)"},{"id":378916,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3463/sim3463_pamphlet.pdf","text":"Pamphlet","size":"1.17 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Colorado","city":"Colorado Springs","otherGeospatial":"U.S. Airforce Academy","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.91188049316406,\n 38.91561302513129\n ],\n [\n -104.77867126464842,\n 38.93163900447185\n ],\n [\n -104.8267364501953,\n 39.03731965210478\n ],\n [\n -104.92767333984374,\n 39.03731965210478\n ],\n [\n -104.91188049316406,\n 38.91561302513129\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

Contact Pubs Warehouse

","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-10-07","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":800222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hempel, Laura A. 0000-0001-5020-6056","orcid":"https://orcid.org/0000-0001-5020-6056","contributorId":224286,"corporation":false,"usgs":true,"family":"Hempel","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":800223,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214981,"text":"ofr20201077 - 2020 - Development of a suite of functional immune assays and initial assessment of their utility in wild smallmouth bass health assessments","interactions":[],"lastModifiedDate":"2024-03-04T19:49:56.75641","indexId":"ofr20201077","displayToPublicDate":"2020-10-07T10:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1077","displayTitle":"Development of a Suite of Functional Immune Assays and Initial Assessment of Their Utility in Wild Smallmouth Bass Health Assessments","title":"Development of a suite of functional immune assays and initial assessment of their utility in wild smallmouth bass health assessments","docAbstract":"

Methods were developed for measuring immune function in Micropterus dolomieu (smallmouth bass). The ultimate objective is to monitor and evaluate changes over time in immune status and disease resistance in conjunction with other characteristics of fish health and environmental stressors. To test these methods for utility in ecotoxicological studies, 192 smallmouth bass, age 2 years and older, were collected from three sites within the Susquehanna River Basin and one site in the Ohio River Basin during spring and fall 2016 and 2017. The anterior kidney was aseptically removed and homogenized for leukocyte isolation. Leukocytes were tested for bactericidal activity against two species of bacteria; respiratory burst activity when stimulated with phorbol 12-myristate 13-acetate; and mitogenesis activity when stimulated with concanavalin A, phytohemagglutinin, and lipopolysaccharide. Tissues were preserved for histopathological analyses.

Two of the sites were part of a monitoring program at which surface-water samples were collected monthly (bimonthly in spring) for chemical contaminants. Significant seasonal and (or) site differences in all three immune function tests were observed. Interpretations of seasonal trends in immune function of wild fish or correlations with environmental variables and other factors are difficult to make owing to the complex nature of the immune response and the environment. Differences in immune function could potentially be related to a variety of confounding factors; therefore, additional endpoints and repeated sampling over an extended period are essential to draw conclusions on the immune status of wild fish.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201077","collaboration":"Prepared in cooperation with Pennsylvania Department of Environmental Protection","usgsCitation":"Smith, C.R., Ottinger, C.A., Walsh, H.L., and Blazer, V.S., 2020, Development of a suite of functional immune assays and initial assessment of their utility in wild smallmouth bass health assessments: U.S. Geological Survey Open-File Report 2020–1077, 23 p., https://doi.org/10.3133/ofr20201077.","productDescription":"vii, 23 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118051","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":379041,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1077/ofr20201077.pdf","text":"Report","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1077"},{"id":379040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1077/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Tionesta Lake, Pine Creek, Upper Juniata River, West Branch Mahantango Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.79919433593749,\n 41.30257109430557\n ],\n [\n -77.38220214843749,\n 41.30257109430557\n ],\n [\n -77.38220214843749,\n 42.00032514831621\n ],\n [\n -79.79919433593749,\n 42.00032514831621\n ],\n [\n -79.79919433593749,\n 41.30257109430557\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-10-07","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":800493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ottinger, Christopher A. 0000-0003-2551-1985 cottinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":2559,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","email":"cottinger@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":800496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215540,"text":"70215540 - 2020 - Yellowstone's Old Faithful Geyser shut down by a severe 13th century drought","interactions":[],"lastModifiedDate":"2020-10-22T14:47:58.754297","indexId":"70215540","displayToPublicDate":"2020-10-07T09:43:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Yellowstone's Old Faithful Geyser shut down by a severe 13th century drought","docAbstract":"

To characterize eruption activity of the iconic Old Faithful Geyser in Yellowstone National Park over past centuries, we obtained 41 new radiocarbon dates of mineralized wood preserved in the mound of silica that precipitated from erupted waters. Trees do not grow on active geyser mounds, implying that trees grew on the Old Faithful Geyser mound during a protracted period of eruption quiescence. Rooted stumps and root crowns located on higher parts of the mound are evidence that at the time of tree growth, the geyser mound closely resembled its current appearance. The range of calibrated radiocarbon dates (1233–1362 CE) is coincident with a series of severe multidecadal regional droughts toward the end of the Medieval Climate Anomaly, prior to the onset of the Little Ice Age. Climate models project increasingly severe droughts by mid‐21st century, suggesting that geyser eruptions could become less frequent or completely cease.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL089871","usgsCitation":"Hurwitz, S., King, J., Pederson, G.T., Martin, J.T., Damby, D., Manga, M., Hungerford, J., and Peek, S., 2020, Yellowstone's Old Faithful Geyser shut down by a severe 13th century drought: Geophysical Research Letters, v. 47, no. 20, e2020GL089871, 8 p., https://doi.org/10.1029/2020GL089871.","productDescription":"e2020GL089871, 8 p.","ipdsId":"IP-121756","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":436760,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LEQ5HC","text":"USGS data release","linkHelpText":"Silicified wood from around Old Faithful Geyser, Yellowstone National Park"},{"id":379654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.060791015625,\n 43.810747313446996\n ],\n [\n -109.44030761718749,\n 43.810747313446996\n ],\n [\n -109.44030761718749,\n 45.00947686967287\n ],\n [\n -111.060791015625,\n 45.00947686967287\n ],\n [\n -111.060791015625,\n 43.810747313446996\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"20","noUsgsAuthors":false,"publicationDate":"2020-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":802623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, John","contributorId":243582,"corporation":false,"usgs":false,"family":"King","given":"John","affiliations":[{"id":48739,"text":"Lon Pine Research","active":true,"usgs":false}],"preferred":false,"id":802624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":802625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Justin T. 0000-0002-3523-6596","orcid":"https://orcid.org/0000-0002-3523-6596","contributorId":215418,"corporation":false,"usgs":true,"family":"Martin","given":"Justin","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":802626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manga, Michael","contributorId":243583,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":802628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hungerford, Jefferson","contributorId":243584,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":802629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peek, Sara 0000-0002-9770-6557","orcid":"https://orcid.org/0000-0002-9770-6557","contributorId":209971,"corporation":false,"usgs":true,"family":"Peek","given":"Sara","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802630,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215372,"text":"70215372 - 2020 - Localized fault-zone dilatancy and surface inelasticity of the 2019 Ridgecrest earthquakes","interactions":[],"lastModifiedDate":"2020-10-16T13:01:02.459958","indexId":"70215372","displayToPublicDate":"2020-10-07T07:58:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Localized fault-zone dilatancy and surface inelasticity of the 2019 Ridgecrest earthquakes","docAbstract":"

Earthquakes produce a spectrum of elastic and inelastic deformation processes that are reflected across various length and time scales. While elasticity has long dominated research assumptions in active tectonics, increasing interest has focused on the inelastic characteristics of earthquakes, particularly those of the surface fault rupture zone itself, and how they relate to ground rupture hazard and the mechanics of damage zones. Here we present detailed co-seismic surface-strain analysis of the 2019 Ridgecrest, California, earthquakes. We derive three-dimensional high-resolution surface displacements from satellite optical imagery, which we then invert for the co-seismic surface-strain tensors. We show that fault-zone dilation is pervasive throughout these earthquakes and that inelastic failure is present but relatively localized (median width of 31 m). The width of the inelastic failure zone is not correlated to off-fault deformation, surface geology or displacement magnitude. Instead, the extent and kinematics of inelastic failure reflect active, mylonitic deformation of the fault damage zone that is influenced by rupture velocity and fault maturity. These results highlight how a single earthquake contributes to the long-term, permanent geologic record of faulting.


","language":"English","publisher":"Nature","doi":"10.1038/s41561-020-0628-8","usgsCitation":"Barnhart, W., Gold, R.D., and Hollingsworth, J., 2020, Localized fault-zone dilatancy and surface inelasticity of the 2019 Ridgecrest earthquakes: Nature Geoscience, v. 13, p. 699-704, https://doi.org/10.1038/s41561-020-0628-8.","productDescription":"6 p.","startPage":"699","endPage":"704","ipdsId":"IP-119584","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":496346,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-03062390","text":"External Repository"},{"id":436761,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRZ6NR","text":"USGS data release","linkHelpText":"Displacement and strain field from the 2019 Ridgecrest earthquakes derived from analysis of WorldView optical satellite imagery (ver. 2.0, May 2021)"},{"id":379457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.960205078125,\n 35.37113502280101\n ],\n [\n -117.366943359375,\n 35.37113502280101\n ],\n [\n -117.366943359375,\n 35.84008157153468\n ],\n [\n -117.960205078125,\n 35.84008157153468\n ],\n [\n -117.960205078125,\n 35.37113502280101\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2020-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, William D. 0000-0003-0498-1697","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":192730,"corporation":false,"usgs":false,"family":"Barnhart","given":"William D.","affiliations":[],"preferred":false,"id":801888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":801889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollingsworth, James","contributorId":238812,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"James","email":"","affiliations":[],"preferred":false,"id":801890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218453,"text":"70218453 - 2020 - Habitat characterization and species distribution model of the only large-lake population of the endangered Silver Chub (Macrhybopsis storeriana, Kirtland 1844)","interactions":[],"lastModifiedDate":"2021-02-26T13:59:53.610438","indexId":"70218453","displayToPublicDate":"2020-10-07T07:55:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Habitat characterization and species distribution model of the only large-lake population of the endangered Silver Chub (Macrhybopsis storeriana, Kirtland 1844)","docAbstract":"

The endangered Silver Chub (Macrhybopsis storeriana, Kirtland 1844) is native to North America and primarily riverine, with the only known large‐lake population in Lake Erie. Once a major component of the Lake Erie fish community, it declined and became nearly extirpated in the mid‐1900s. Recent collections in western Lake Erie suggest that Silver Chub may be able to recover, but their habitat and distribution are poorly known. A recent work showed an extensive area of western Lake Erie with the potential to support large numbers of Silver Chub, but was based on a geographically limited dataset. We developed a neural network‐based species distribution model for the Silver Chub in western Lake Erie, improved by new synoptic data and using habitat variables resistant to anthropogenic activities. The Potential model predictions were compared with a model that included anthropogenic‐sensitive variables. The Potential model used 10 habitat variables and performed well, explaining > 99% of data variation and had generally low error rates. Predictions indicated that a large area of the waters approximately 2–9 m deep contained Appropriate habitat and the highest abundances should be supported by habitat in a wide arc through the western end of the basin. The model indicated that Appropriate Silver Chub habitat was associated with relatively deep water, near coastal wetlands, where effective fetch is less than average. Disturbance model predictions were similar, but predicted poorer Silver Chub habitat in more areas than that predicted by the Potential model. Our Potential model reveals Appropriate habitat conditions for Silver Chub and its spatial distribution, indicating that extensive areas of western Lake Erie could support Silver Chub. Comparisons with Disturbance model predictions demonstrate that Potential model predictions may be used in conjunction with analyses of degrading conditions in the system to better conserve and manage for this endangered species.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6830","usgsCitation":"McKenna, J.E., and Kocovsky, P., 2020, Habitat characterization and species distribution model of the only large-lake population of the endangered Silver Chub (Macrhybopsis storeriana, Kirtland 1844): Ecology and Evolution, v. 10, no. 21, p. 12076-12090, https://doi.org/10.1002/ece3.6830.","productDescription":"15 p.","startPage":"12076","endPage":"12090","ipdsId":"IP-062648","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":455100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6830","text":"Publisher Index Page"},{"id":383637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ohio","otherGeospatial":"Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.8916015625,\n 41.062786068733026\n ],\n [\n -81.05712890625,\n 41.062786068733026\n ],\n [\n -81.05712890625,\n 42.601619944327965\n ],\n [\n -83.8916015625,\n 42.601619944327965\n ],\n [\n -83.8916015625,\n 41.062786068733026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"21","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810979,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215189,"text":"70215189 - 2020 - A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data","interactions":[],"lastModifiedDate":"2020-10-29T15:15:46.334579","indexId":"70215189","displayToPublicDate":"2020-10-07T07:27:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data","docAbstract":"

Evapotranspiration (ET) is needed in a range of applications in hydrology, climatology, ecology, and agriculture. Remote sensing-based estimation is the only viable and economical method for ET estimation over large areas. The current Landsat satellites provide images every 16 days limiting the ability to capture biophysical changes affecting ET. Thus, we explored the potential integration of Landsat 8 and Sentinel-2 data for estimating ET using a surface energy balance model. The results indicate the proposed Landsat-Sentinel data fusion approach substantially reduced relative errors from 48% to 10% on area-wide and from 49% to 17% on pixel-wide compared to linear interpolation between two Landsat images. The proposed approach had a better agreement with expected actual ET maps across high-vegetation conditions than in low-vegetation conditions. The finer temporal resolution and better accuracy of ET maps based on Landsat-Sentinel integration is of great importance in managing limited water resources.

","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02626667.2020.1817461","usgsCitation":"Singh, R., Khand, K.B., Kagone, S., Schauer, M., Senay, G., and Wu, Z., 2020, A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data: Hydrological Sciences Journal, v. 65, no. 14, p. 2508-2519, https://doi.org/10.1080/02626667.2020.1817461.","productDescription":"12 p.","startPage":"2508","endPage":"2519","ipdsId":"IP-113350","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":455102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2020.1817461","text":"Publisher Index Page"},{"id":379288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Palo Verde Irrigation District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.9444580078125,\n 32.9764120829052\n ],\n [\n -114.3402099609375,\n 32.9764120829052\n ],\n [\n -114.3402099609375,\n 33.911454454267606\n ],\n [\n -114.9444580078125,\n 33.911454454267606\n ],\n [\n -114.9444580078125,\n 32.9764120829052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"14","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Singh, Ramesh 0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":210983,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":801106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":242921,"corporation":false,"usgs":true,"family":"Khand","given":"Kul","email":"","middleInitial":"Bikram","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":801107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":801108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":801109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":801110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":801111,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217169,"text":"70217169 - 2020 - Seismic reflection imaging of the low-angle Panamint normal fault system, eastern California","interactions":[],"lastModifiedDate":"2021-01-08T13:33:13.082193","indexId":"70217169","displayToPublicDate":"2020-10-07T07:25:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismic reflection imaging of the low-angle Panamint normal fault system, eastern California","docAbstract":"

Shallowly dipping (<30°) low‐angle normal faults (LANFs) have been documented globally; however, examples of active LANFs in continental settings are limited. The western margin of the Panamint Range in eastern California is defined by a LANF that dips west beneath Panamint Valley and has evidence of Quaternary motion. In addition, high‐angle dextral‐oblique normal faults displace middle to late Quaternary alluvial fans near the range front. To image shallow (<1 km depth), crosscutting relationships between the low‐ and high‐angle faults along the range front, we acquired two high‐resolution P wave seismic reflection profiles. The northern, 4.6‐km‐long profile crosses the 2‐km‐wide Wildrose graben and the southern, 0.8‐km‐long profile extends onto the Panamint Valley playa, ~7.5 km S of Ballarat, CA. The profile across the Wildrose graben reveals a robust, low‐angle reflector interpreted to represent the LANF separating Plio‐Pleistocene alluvial fanglomerate and Proterozoic metasedimentary deposits. High‐angle faults interpreted in the seismic profile correspond to fault scarps on Quaternary alluvial fan surfaces. Interpretation of the reflection data suggests that the high‐angle faults vertically displace the LANF up to 80 m within the Wildrose graben. Similarly, the profile south of Ballarat reveals a low‐angle reflector, which appears both rotated and displaced up to 260 m by high‐angle faults. These results suggest that near the Panamint range front, the high‐angle faults are the dominant active structures. We conclude that at least at shallow (<1 km) depths, the LANF we imaged is not active today.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB020243","usgsCitation":"Gold, R.D., Stephenson, W.J., Briggs, R.W., DuRoss, C., Kirby, E., Woolery, E.W., Delano, J., and Odum, J., 2020, Seismic reflection imaging of the low-angle Panamint normal fault system, eastern California: JGR Solid Earth, v. 125, no. 11, e2020JB020243, 18 p., https://doi.org/10.1029/2020JB020243.","productDescription":"e2020JB020243, 18 p.","ipdsId":"IP-122325","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":455104,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://cdr.lib.unc.edu/downloads/gb19fg41w","text":"External Repository"},{"id":436762,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YY18PF","text":"USGS data release","linkHelpText":"Seismic reflection imaging of the low-angle Panamint normal fault system, eastern California, 2018"},{"id":382016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Panamint Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.90527343750001,\n 34.95799531086792\n ],\n [\n -116.3671875,\n 34.95799531086792\n ],\n [\n -116.3671875,\n 37.125286284966805\n ],\n [\n -117.90527343750001,\n 37.125286284966805\n ],\n [\n -117.90527343750001,\n 34.95799531086792\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Eric 0000-0002-5701-8688","orcid":"https://orcid.org/0000-0002-5701-8688","contributorId":197171,"corporation":false,"usgs":false,"family":"Kirby","given":"Eric","email":"","affiliations":[],"preferred":false,"id":807819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":807820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delano, Jaime 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":225594,"corporation":false,"usgs":false,"family":"Delano","given":"Jaime","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":807821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Odum, Jackson K. 0000-0003-4697-2430 odum@usgs.gov","orcid":"https://orcid.org/0000-0003-4697-2430","contributorId":1365,"corporation":false,"usgs":true,"family":"Odum","given":"Jackson K.","email":"odum@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807822,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215231,"text":"70215231 - 2020 - Spatiotemporal pattern of interactions between an apex predator and sympatric species","interactions":[],"lastModifiedDate":"2020-12-14T16:39:26.143997","indexId":"70215231","displayToPublicDate":"2020-10-07T07:04:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7153,"text":"Journal of Mammology","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal pattern of interactions between an apex predator and sympatric species","docAbstract":"

Increases in apex predator abundance can influence the behavior of sympatric species, particularly when the available habitat and/or resources are limited. We assessed the temporal and spatiotemporal interactions between Florida panthers (Puma concolor coryi) and six focal sympatric species in South Florida, where Florida panther abundance has increased by more than 6-fold since the 1990’s. Using camera trap data, we quantified species’ diel activity patterns, temporal overlap, and time-to-encounter (i.e., time between consecutive visits of a Florida panther and a focal species and vice versa). The Florida panther and bobcat (Lynx rufus) displayed a nocturnal activity pattern; the black bear (Ursus americanus), white-tailed deer (Odocoileus virginianus), wild boar (Sus scrofa), and wild turkey (Meleagris gallopavo) were mostly diurnal; and the raccoon (Procyon lotor) was cathemeral. Prey species and black bears minimized encounters with Florida panthers by being active during the day and displaying longer time-to-encounter, whereas Florida panthers visited a site after a prey species at higher probabilities than after competitor species, and were more likely to visit an elevated site or upland habitat. Our results suggest that interactions between Florida panthers and sympatric species in our study system are driven by species-specific behavioral responses. Gaining a better understanding of the crucial interactions driving species coexistence is important for a better understanding of the structure and function of ecological communities and help manage the potential expansion of the Florida panther into Central Florida.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaa071","usgsCitation":"Guitart, M.P., Onorato, D.P., Hines, J.E., and Oli, M.K., 2020, Spatiotemporal pattern of interactions between an apex predator and sympatric species: Journal of Mammology, v. 101, no. 5, p. 1279-1288, https://doi.org/10.1093/jmammal/gyaa071.","productDescription":"10 p.","startPage":"1279","endPage":"1288","ipdsId":"IP-102728","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Central Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.8369140625,\n 26.31311263768267\n ],\n [\n -79.8046875,\n 26.31311263768267\n ],\n [\n -79.8046875,\n 29.611670115197377\n ],\n [\n -82.8369140625,\n 29.611670115197377\n ],\n [\n -82.8369140625,\n 26.31311263768267\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Guitart, Marta P 0000-0002-2368-1422","orcid":"https://orcid.org/0000-0002-2368-1422","contributorId":242968,"corporation":false,"usgs":false,"family":"Guitart","given":"Marta","email":"","middleInitial":"P","affiliations":[{"id":38084,"text":"Univ. of Florida","active":true,"usgs":false}],"preferred":false,"id":801239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, David P","contributorId":242969,"corporation":false,"usgs":false,"family":"Onorato","given":"David","email":"","middleInitial":"P","affiliations":[{"id":48592,"text":"Florida Fish & Wildlife Conservation Comm.","active":true,"usgs":false}],"preferred":false,"id":801240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":801241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":801242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274784,"text":"70274784 - 2020 - Vegetation vs. anoxic controls on degradation of plant litter in a restored wetland","interactions":[],"lastModifiedDate":"2026-04-10T13:38:43.045806","indexId":"70274784","displayToPublicDate":"2020-10-07T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation vs. anoxic controls on degradation of plant litter in a restored wetland","docAbstract":"

The ability of wetlands to accrete organic matter in response to rising sea level is a key to landscape resilience, especially in light of reduced sediment availability consequent to dam construction and channelization. This study examined the degradation of cattail (Typha spp.) and tule (Schoenoplectus acutus) litters in restored wetlands through the lens of lignin, a major structural biopolymer in vascular plants with degradation characteristics very sensitive to oxic versus anoxic conditions. A series of litterbags were deployed during the first 10 years after flooding of Deep (55 cm) and Shallow (25 cm) restored wetlands. As emergent marsh vegetation spread through the maturing wetlands, anoxic conditions were more prevalent and overall degradation rates of litter in litterbags were lower. In later experiments in the maturing wetlands, lignin was progressively enriched in litter as evidenced by carbon-normalized yields (Λ8) that increased in tule starting materials from 6.3 to 7.1 mg 100 mgOC–1 to as high as 9.9 mg 100 mgOC–1, and in cattail starting materials from 5.9 to 7.0 mg 100 mgOC–1 to as high as 10.9 mg 100 mgOC–1. However, in an experiment initiated soon after the restored wetlands were constructed, Λ8 in tule litter decreased from 6.8 to 3.6 mg 100 mgOC–1, highlighting the prevalence of initial oxic conditions. With the exception of the early oxic conditions for tule, there was an overall trend of decreasing lignin acid-to-aldehyde ratios with litter degradation, which runs counter to most studies in the literature. We hypothesize that this reflects the utilization of more oxygen-rich lignin components as electron acceptors in redox reactions. No consistent differences were observed in degradation patterns between the Shallow and Deep wetlands. There were distinct differences in lignin degradation in cattail (more resistant) versus tule (less resistant), which indicates that although anoxia may be the dominant control on organic matter accretion in wetlands, specific types of vegetation in restored or constructed wetlands affects organic matter preservation, and hence accretion. Thus, selective management of predominant species in wetlands may prove important for the ability of wetlands to maintain emergent vegetation during sea level rise and to preserve the overall stability of wetland soils.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2020.564603","usgsCitation":"Hernes, P.J., Miller, R.L., Dyda, R.Y., and Bergamaschi, B.A., 2020, Vegetation vs. anoxic controls on degradation of plant litter in a restored wetland: Frontiers in Environmental Science, v. 8, 564603, 11 p., https://doi.org/10.3389/fenvs.2020.564603.","productDescription":"564603, 11 p.","ipdsId":"IP-119215","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502354,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2020.564603","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Twitchell Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.68381283679834,\n 38.12416147877542\n ],\n [\n -121.68755028169036,\n 38.08707073917063\n ],\n [\n -121.67928640312594,\n 38.08780599701319\n ],\n [\n -121.66757273973434,\n 38.09442402508458\n ],\n [\n -121.65265808360306,\n 38.09467806713366\n ],\n [\n -121.63544357092064,\n 38.08904952104504\n ],\n [\n -121.6280522656029,\n 38.09589585522204\n ],\n [\n -121.62668326258334,\n 38.099398949521174\n ],\n [\n -121.61151764873418,\n 38.10516475690591\n ],\n [\n -121.61684341930066,\n 38.11624520495312\n ],\n [\n -121.65443009534332,\n 38.11969426991299\n ],\n [\n -121.66258531326154,\n 38.12254968333488\n ],\n [\n -121.66666292222067,\n 38.12397739004583\n ],\n [\n -121.67074053117977,\n 38.12540509675678\n ],\n [\n -121.68381283679834,\n 38.12416147877542\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hernes, Peter J. 0000-0001-7908-0936","orcid":"https://orcid.org/0000-0001-7908-0936","contributorId":329589,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","middleInitial":"J.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":959139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Robin L. 0000-0001-6931-3898","orcid":"https://orcid.org/0000-0001-6931-3898","contributorId":369566,"corporation":false,"usgs":true,"family":"Miller","given":"Robin","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyda, Rachael Y. 0000-0002-4616-7231","orcid":"https://orcid.org/0000-0002-4616-7231","contributorId":369567,"corporation":false,"usgs":false,"family":"Dyda","given":"Rachael","middleInitial":"Y.","affiliations":[{"id":28024,"text":"UCDavis","active":true,"usgs":false}],"preferred":false,"id":959141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959142,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70213240,"text":"sir20205054 - 2020 - Estimating flood magnitude and frequency on streams and rivers in Connecticut, based on data through water year 2015","interactions":[],"lastModifiedDate":"2020-10-06T21:49:41.168644","indexId":"sir20205054","displayToPublicDate":"2020-10-06T16:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5054","displayTitle":"Estimating Flood Magnitude and Frequency on Streams and Rivers in Connecticut, Based on Data Through Water Year 2015","title":"Estimating flood magnitude and frequency on streams and rivers in Connecticut, based on data through water year 2015","docAbstract":"

The U.S. Geological Survey, in cooperation with the Connecticut Department of Transportation, updated flood-frequency estimates with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence intervals, respectively) for 141 streamgages in Connecticut and 11 streamgages in adjacent States using annual peak-flow data through water year 2015. Peak-flow regression equations were derived for estimating flows at ungaged stream sites with annual exceedance probabilities from 50 to 0.2 percent. Methods for estimating prediction intervals for the peak-flow regression equations are presented. The regression equations are applicable for basins in Connecticut with drainage areas ranging from 0.69 to 325 square miles that are not affected by flood-control regulation or flow diversions.

The flood discharges for select annual exceedance probabilities were estimated following new (2018) national guidelines for flood-frequency analyses. New guidelines have improved statistical methods for flood-frequency analysis including (1) the expected moments algorithm to help describe uncertainty in annual peak flows and to better represent missing and historical record and (2) the generalized multiple Grubbs-Beck test to screen out potentially influential low outliers and to better fit the upper end of the peak-flow distribution. Additionally, a new regional skew (0.37) derived for New England was used in the flood-frequency analysis for the streamgages.

Annual peak flows were analyzed for trends for four time periods (30, 50, 70, and 90 years) through 2015. Trend results show some statistical evidence of increasing peak flows in each of the time periods analyzed; however, multidecadal climate cycles may be influencing the number and magnitude of the trends. Historical peak-flow trends in and near Connecticut do not offer clear and convincing evidence for incorporating trends into flood-frequency analyses. For this study, the traditional assumption of stationarity is used with no adjustment for trends.

Generalized least squares regression techniques were used to develop the final set of multivariable regression equations for estimating flood discharges with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities. The standard error of prediction for the regional regression equations ranged from 26.3 to 45.0 percent. The standard error of prediction was slightly smaller in the current study compared to the 2004 study, indicating an improvement in the predictive ability of the equations (6 percent smaller at the 50-percent annual exceedance probability to about 1 percent smaller at the 1-percent annual exceedance probability). Generalized least squares regression techniques also were used to develop a one-variable (drainage-area-only) equation. Drainage-area-only equations can be used as an alternative to the multiexplanatory variable statewide regression equations if decreased accuracy is acceptable.

The revised statistical procedures and additional streamgage data applied in the current study result in a more accurate representation of peak-flow conditions in Connecticut than was previously available. The regional regression equations will be integrated in the U.S. Geological Survey StreamStats program, which estimates basin and climatic characteristics and streamflow statistics at user-selected ungaged stream sites.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205054","collaboration":"Prepared in cooperation with the Connecticut Department of Transportation","usgsCitation":"Ahearn, E.A., and Hodgkins, G.A., 2020, Estimating flood magnitude and frequency on streams and rivers in Connecticut, based on data through water year 2015: U.S. Geological Survey Scientific Investigations Report 2020–5054, 42 p., https://doi.org/10.3133/sir20205054.","productDescription":"Report: v, 42 p.; 2 Tables; 2 Data Releases","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108818","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":378387,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EWHAYW","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Worksheet for computing annual exceedance probability flood discharges and prediction intervals at stream sites in Connecticut"},{"id":378386,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S4F751","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Flood frequency and source data used in regional regression analysis of annual peak flows in Connecticut"},{"id":378381,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5054/coverthb.png"},{"id":378382,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5054/sir20205054.pdf","text":"Report","size":"6.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5054"},{"id":378383,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5054/sir20205054_table01.xlsx","text":"Table 1","size":"35.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Descriptions of U.S. Geological Survey streamgages in Connecticut and adjacent States used in the flood-frequency analysis and regionalization of peaks flows in Connecticut"},{"id":378384,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5054/sir20205054_table01.csv","text":"Table 1","size":"33.5 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Descriptions of U.S. Geological Survey streamgages in Connecticut and adjacent States used in the flood-frequency analysis and regionalization of peaks flows in Connecticut"}],"country":"United 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\"}}]}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-10-06","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"preferred":false,"id":798678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":798679,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214665,"text":"sir20205087 - 2020 - Transmissivity estimated from brief aquifer tests of domestic wells and compared with bedrock lithofacies and position on hillsides in the Appalachian Plateau of New York","interactions":[],"lastModifiedDate":"2020-10-06T21:42:12.920668","indexId":"sir20205087","displayToPublicDate":"2020-10-06T15:30:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5087","displayTitle":"Transmissivity Estimated From Brief Aquifer Tests of Domestic Wells and Compared With Bedrock Lithofacies and Position on Hillsides in the Appalachian Plateau of New York","title":"Transmissivity estimated from brief aquifer tests of domestic wells and compared with bedrock lithofacies and position on hillsides in the Appalachian Plateau of New York","docAbstract":"

Procedures for undertaking and analyzing recovery from aquifer tests of 13 to 132 seconds (described in reports cited herein) were applied to 51 domestic drilled wells that penetrated bedrock outside major valleys in the part of the Appalachian Plateau of New York drained by the Susquehanna River. Transmissivities calculated from these tests ranged over three orders of magnitude in both the Catskill-Cattaraugus lithofacies (shales, mudstones, siltstones, medium to coarse sandstones, pebbly sandstones) and the Chemung-Hamilton lithofacies (shales, mudstones, siltstones, fine to medium sandstones). Median transmissivity values were 0.000425 foot squared per second (36.7 feet squared per day) in the Catskill-Cattaraugus lithofacies and 0.00055 foot squared per second (47.5 feet squared per day) in the Chemung-Hamilton lithofacies. The distributions of transmissivity values within the two lithofacies were likewise similar. The range and median values of transmissivity were also nearly the same on lower and midlevel hillsides and were only slightly greater on a few upper hillsides. Transmissivities estimated from such easily arranged and analyzed tests may be appropriate for estimating groundwater flux under the small gradients that prevail under natural conditions, but not under larger drawdowns and steeper gradients near clusters of domestic wells. Four of the 51 wells tested were also pumped for 10 to 32 minutes; analysis by the Theis recovery method yielded transmissivities consistent with the brief tests for 2 wells, but 7 to 9 times smaller for 2 wells.

Transmissivity values estimated by the PICKINGmodel were not significantly different from values estimated by an automated application of the Picking method (PPC-Recovery) at a probability of 95 percent. Transmissivities calculated by either method from data for time intervals of 120 seconds or less may be of limited practical value because they apply only to a small volume of bedrock close to the pumped well.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205087","usgsCitation":"Randall, A.D., and Mills, A.C., 2020, Transmissivity estimated from brief aquifer tests of domestic wells and compared with bedrock lithofacies and position on hillsides in the Appalachian Plateau of New York: U.S. Geological Survey Scientific Investigations Report 2020–5087, 21 p., https://doi.org/10.3133/sir20205087.","productDescription":"Report: iv, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091051","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":378953,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KLZD9M","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Field Data From Brief Aquifer Tests of Domestic Wells Penetrating Bedrock in the Appalachian Plateau of New York and Best Fits to Theoretical Curves of Aquifer Properties"},{"id":378951,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5087/coverthb.jpg"},{"id":378952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5087/sir20205087.pdf","text":"Report","size":"1.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5087"}],"country":"United States","state":"New York","otherGeospatial":"Appalachian Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.2391357421875,\n 42.0125705565935\n ],\n [\n -74.37744140625,\n 42.0125705565935\n ],\n [\n -74.37744140625,\n 43.03677585761058\n ],\n [\n -78.2391357421875,\n 43.03677585761058\n ],\n [\n -78.2391357421875,\n 42.0125705565935\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-10-06","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Randall, Allan D. arandall@usgs.gov","contributorId":1168,"corporation":false,"usgs":true,"family":"Randall","given":"Allan","email":"arandall@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":800356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Andrew C.","contributorId":242016,"corporation":false,"usgs":false,"family":"Mills","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":800357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215030,"text":"ofr20201110 - 2020 - A clarification on the effects of urbanization on Golden Eagle (Aquila chrysaetos) habitat selection","interactions":[],"lastModifiedDate":"2020-10-06T21:34:36.833735","indexId":"ofr20201110","displayToPublicDate":"2020-10-06T11:38:02","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1110","displayTitle":"A Clarification on the Effects of Urbanization on Golden Eagle (Aquila chrysaetos) Habitat Selection","title":"A clarification on the effects of urbanization on Golden Eagle (Aquila chrysaetos) habitat selection","docAbstract":"

Introduction

In 2018, the U.S. Geological Survey (USGS) published an Open-File Report (Tracey and others, 2018) presenting a Bayesian habitat selection model for golden eagles (Aquila chrysaetos) in San Diego County, California. The model used telemetry data to examine the effects of urban development, exurban development, and topography (characterized by a topographic position index and a vector ruggedness measure, TPI and VRM respectively) on golden eagle habitat selection probability. Based on figures 3 and 6 of Tracey and others (2018), we received inquiries from cooperators (U.S. Fish and Wildlife Service and California Department of Fish and Wildlife) about how the probability of eagle use declines with decreasing distance to the urban edge. Here, we clarify our results by addressing that question.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201110","collaboration":"Prepared in cooperation with San Diego Association of Governments, U.S. Fish and Wildlife Service, Bureau of Land Management, and California Department of Fish and Wildlife","usgsCitation":"Tracey, J.A., Madden, M.C., Bloom, P.H., and Fisher, R.N., 2020, A clarification on the effects of urbanization on Golden Eagle (Aquila chrysaetos) habitat selection: U.S. Geological Survey Open-File Report 2020–1110, 7 p., https://doi.org/10.3133/ofr20201110.","productDescription":"iv, 7 p.","numberOfPages":"7","onlineOnly":"Y","ipdsId":"IP-121710","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":379081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1110/covrthb.jpg"},{"id":379082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1110/ofr20201110.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":379083,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181067","text":"Open-File Report 2018-1067","linkHelpText":"- Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California"}],"contact":"

Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-10-06","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madden, Melanie C. 0000-0003-4147-7254 mmadden@usgs.gov","orcid":"https://orcid.org/0000-0003-4147-7254","contributorId":229684,"corporation":false,"usgs":true,"family":"Madden","given":"Melanie","email":"mmadden@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloom, Peter H.","contributorId":242659,"corporation":false,"usgs":true,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":800596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215018,"text":"70215018 - 2020 - Identifying the greatest earthquakes of the past 2000 years at the Nehalem River Estuary, Northern Oregon Coast, USA","interactions":[],"lastModifiedDate":"2020-10-06T16:25:31.548543","indexId":"70215018","displayToPublicDate":"2020-10-06T11:16:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7136,"text":"Open Quaternary","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the greatest earthquakes of the past 2000 years at the Nehalem River Estuary, Northern Oregon Coast, USA","docAbstract":"

We infer a history of three great megathrust earthquakes during the past 2000 years at the Nehalem River estuary based on the lateral extent of sharp (≤3 mm) peat-mud stratigraphic contacts in cores and outcrops, coseismic subsidence as interpreted from fossil diatom assemblages and reconstructed with foraminiferal assemblages using a Bayesian transfer function, and regional correlation of 14C-modeled ages for the times of subsidence. A subsidence contact from 1700 CE (contact A), sometimes overlain by tsunami-deposited sand, can be traced over distances of 7 km. Contacts B and D, which record subsidence during two earlier megathrust earthquakes, are much less extensive but are traced across a 700-m by 270-m tidal marsh. Although some other Cascadia studies report evidence for an earthquake between contacts B and D, our lack of extensive evidence for such an earthquake may result from the complexities of preserving identifiable evidence of it in the rapidly shifting shoreline environments of the lower river and bay. Ages (95% intervals) and subsidence for contacts are: A, 1700 CE (1.1 ± 0.5 m); B, 942–764 cal a BP (0.7 ± 0.4 m and 1.0 m ± 0.4 m); and D, 1568–1361 cal a BP (1.0 m ± 0.4 m). Comparisons of contact subsidence and the degree of overlap of their modeled ages with ages for other Cascadia sites are consistent with megathrust ruptures many hundreds of kilometers long. But these data cannot conclusively distinguish among different types or lengths of ruptures recorded by the three great earthquake contacts at the Nehalem River estuary.

","language":"English","publisher":"Ubiquity Press","doi":"10.5334/oq.70","usgsCitation":"Nelson, A.R., Hawkes, A.D., Sawai, Y., Engelhart, S.E., Witter, R., Grant-Walter, W.C., Bradley, L., Dura, T., Cahill, N., and Horton, B.P., 2020, Identifying the greatest earthquakes of the past 2000 years at the Nehalem River Estuary, Northern Oregon Coast, USA: Open Quaternary, v. 6, no. 2, p. 1-30, https://doi.org/10.5334/oq.70.","productDescription":"30 p.","startPage":"1","endPage":"30","ipdsId":"IP-112611","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":455108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/oq.70","text":"Publisher Index Page"},{"id":379088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"California, Oregon, Washington, British Columbia","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.81591796875,\n 40.64730356252251\n ],\n [\n -123.77197265625,\n 43.723474896114794\n ],\n [\n -123.662109375,\n 45.82879925192134\n ],\n [\n -123.46435546875,\n 47.84265762816538\n ],\n [\n -122.93701171874999,\n 49.1242192485914\n ],\n [\n -126.7822265625,\n 51.0275763378024\n ],\n [\n -128.56201171875,\n 50.86144411058924\n ],\n [\n -127.28759765624999,\n 49.31079887964633\n ],\n [\n -124.45312499999999,\n 46.619261036171515\n ],\n [\n -124.67285156250001,\n 42.66628070564928\n ],\n [\n -123.81591796875,\n 40.64730356252251\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":800608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkes, Andrea D.","contributorId":192811,"corporation":false,"usgs":false,"family":"Hawkes","given":"Andrea","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":800555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawai, Yuki","contributorId":127509,"corporation":false,"usgs":false,"family":"Sawai","given":"Yuki","email":"","affiliations":[{"id":6981,"text":"National Institute of Advanced Industrial Science and Technology, AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":800556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":800557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":800558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant-Walter, Wendy C.","contributorId":242632,"corporation":false,"usgs":false,"family":"Grant-Walter","given":"Wendy","email":"","middleInitial":"C.","affiliations":[{"id":48492,"text":"P.O. Box 800, Harwich Port, MA 02646 USA","active":true,"usgs":false}],"preferred":false,"id":800559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":800560,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":800561,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cahill, Niamh","contributorId":150754,"corporation":false,"usgs":false,"family":"Cahill","given":"Niamh","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":800562,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Horton, Benajamin P.","contributorId":192918,"corporation":false,"usgs":false,"family":"Horton","given":"Benajamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":800563,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70215443,"text":"70215443 - 2020 - The eruptive history, magmatic evolution, and influence of glacial ice at long-lived Akutan volcano, eastern Aleutian Islands, Alaska, USA","interactions":[],"lastModifiedDate":"2020-10-20T13:57:30.629194","indexId":"70215443","displayToPublicDate":"2020-10-06T08:49:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The eruptive history, magmatic evolution, and influence of glacial ice at long-lived Akutan volcano, eastern Aleutian Islands, Alaska, USA","docAbstract":"

New 40Ar/39Ar and whole-rock geochemical data are used to develop a detailed eruptive chronology for Akutan volcano, Akutan Island, Alaska, USA, in the eastern Aleutian island arc. Akutan Island (166°W, 54.1°N) is the site of long-lived volcanism and the entire island comprises volcanic rocks as old as 3.3 Ma. Our current study is on the 225 km2 western half of the island, where our results show that the focus of volcanism has shifted over the last ∼700 k.y., and that on occasion, multiple volcanic centers have been active over the same period, including within the Holocene. Incremental heating experiments resulted in 56 40Ar/39Ar plateau ages and span 2.3 Ma to 9.2 ka.

Eruptive products of all units are primarily tholeiitic and medium-K, and range from basalt to dacite. Rare calc-alkaline lavas show evidence suggesting their formation via mixing of mafic and evolved magmas, not via crystallization-derived differentiation through the calc-alkaline trend. Earliest lavas are broadly dispersed and are almost exclusively mafic with high and variable La/Yb ratios that are likely the result of low degrees of partial mantle melting. Holocene lavas all fall along a single tholeiitic, basalt-to-dacite evolutionary trend and have among the lowest La/Yb ratios, which favors higher degrees of mantle melting and is consistent with the increased magma flux during this time. A suite of xenoliths, spanning a wide range of compositions, are found in the deposits of the 1.6 ka caldera-forming eruption. They are interpreted to represent completely crystallized liquids or the crystal residuum from tholeiitic fractional crystallization of the active Akutan magma system.

The new geochronologic and geochemical data are used along with existing geodetic and seismic interpretations from the island to develop a conceptual model of the active Akutan magma system. Collectively, these data are consistent with hot, dry magmas that are likely stored at 5−10 km depth prior to eruption. The prolonged eruptive activity at Akutan has also allowed us to evaluate patterns in lava-ice interactions through time as our new data and observations suggest that the influence of glaciation on eruptive activity, and possible magma composition, is more pronounced at Akutan than has been observed for other well-studied Aleutian volcanoes to the west.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35667.1","usgsCitation":"Coombs, M.L., and Brian Jicha, 2020, The eruptive history, magmatic evolution, and influence of glacial ice at long-lived Akutan volcano, eastern Aleutian Islands, Alaska, USA: GSA Bulletin, 29 p., https://doi.org/10.1130/B35667.1.","productDescription":"29 p.","ipdsId":"IP-116599","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.62890625,\n 50.62507306341435\n ],\n [\n -152.9296875,\n 50.62507306341435\n ],\n [\n -152.9296875,\n 58.90464570302001\n ],\n [\n -169.62890625,\n 58.90464570302001\n ],\n [\n -169.62890625,\n 50.62507306341435\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brian Jicha","contributorId":243421,"corporation":false,"usgs":false,"family":"Brian Jicha","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":802218,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215791,"text":"70215791 - 2020 - A review of an electric weir and fishway in a Great Lakes tributary from conception to termination","interactions":[],"lastModifiedDate":"2022-01-06T16:02:35.274149","indexId":"70215791","displayToPublicDate":"2020-10-06T08:40:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A review of an electric weir and fishway in a Great Lakes tributary from conception to termination","docAbstract":"

A successful management plan requires clear goals and a process for evaluation. Without them, managers risk operational shifts in which continuous changes disguised as improvements may have little beneficial effect. The conception, design, and operation of an electric barrier and fishway on the Pere Marquette River of Lake Michigan serve as an illustration. The Great Lakes Fishery Commission operated an electric weir to stop migration of adult sea lampreys (Petromyzon marinus) and a fishway to provide upstream passage of rainbow trout (Oncorhynchus mykiss) during 2000–2009. The weir and fishway were successful in blocking some of the annual spawning run of sea lampreys (trapped an annual average of 439 sea lampreys) and it allowed passage of rainbow trout (an annual average of 6,091). Even with success that yielded an estimated density of 0.03 adult female sea lampreys per 100 m2 of larval habitat upstream of the weir, lampricide treatments continued because the weir still allowed establishment of substantial densities of larval sea lampreys. Our evaluation suggests that an in-stream barrier must approach 100% blockage of sea lampreys to eliminate large recruitment events. The failure of the weir to reduce lampricide treatments was due to an informally defined purpose and measures for success at the onset, the complexity of electric weir systems (and the operational problems created by such intricacy), and lack of recognition of the reduction in larval sea lamprey recruitment needed to succeed. Control of sea lampreys in the Pere Marquette River could have benefited from an adaptive management approach.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.09.004","usgsCitation":"Tews, J., Adams, J.V., Mann, K., Koon, E., and Heinrich, J., 2020, A review of an electric weir and fishway in a Great Lakes tributary from conception to termination: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S297-S309, https://doi.org/10.1016/j.jglr.2020.09.004.","productDescription":"13 p.","startPage":"S297","endPage":"S309","ipdsId":"IP-111598","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":455111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.09.004","text":"Publisher Index Page"},{"id":379962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","city":"Ludington","otherGeospatial":"Lake Michigan, Pere Marquette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.46583557128906,\n 43.94957452481934\n ],\n [\n -86.45313262939453,\n 43.94957452481934\n ],\n [\n -86.45313262939453,\n 43.955506441260546\n ],\n [\n -86.46583557128906,\n 43.955506441260546\n ],\n [\n -86.46583557128906,\n 43.94957452481934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tews, Jenna","contributorId":244195,"corporation":false,"usgs":false,"family":"Tews","given":"Jenna","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":803491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mann, Kevin","contributorId":244196,"corporation":false,"usgs":false,"family":"Mann","given":"Kevin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koon, Ellie","contributorId":244198,"corporation":false,"usgs":false,"family":"Koon","given":"Ellie","email":"","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":803493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heinrich, John","contributorId":244200,"corporation":false,"usgs":false,"family":"Heinrich","given":"John","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":803494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227010,"text":"70227010 - 2020 - Extraformational sediment recycling on Mars","interactions":[],"lastModifiedDate":"2021-12-27T14:14:39.344833","indexId":"70227010","displayToPublicDate":"2020-10-06T08:09:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Extraformational sediment recycling on Mars","docAbstract":"

Extraformational sediment recycling (old sedimentary rock to new sedimentary rock) is a fundamental aspect of Earth’s geological record; tectonism exposes sedimentary rock, whereupon it is weathered and eroded to form new sediment that later becomes lithified. On Mars, tectonism has been minor, but two decades of orbiter instrument–based studies show that some sedimentary rocks previously buried to depths of kilometers have been exposed, by erosion, at the surface. Four locations in Gale crater, explored using the National Aeronautics and Space Administration’s Curiosity rover, exhibit sedimentary lithoclasts in sedimentary rock: At Marias Pass, they are mudstone fragments in sandstone derived from strata below an erosional unconformity; at Bimbe, they are pebble-sized sandstone and, possibly, laminated, intraclast-bearing, chemical (calcium sulfate) sediment fragments in conglomerates; at Cooperstown, they are pebble-sized fragments of sandstone within coarse sandstone; at Dingo Gap, they are cobble-sized, stratified sandstone fragments in conglomerate derived from an immediately underlying sandstone. Mars orbiter images show lithified sediment fans at the termini of canyons that incise sedimentary rock in Gale crater; these, too, consist of recycled, extraformational sediment. The recycled sediments in Gale crater are compositionally immature, indicating the dominance of physical weathering processes during the second known cycle. The observations at Marias Pass indicate that sediment eroded and removed from craters such as Gale crater during the Martian Hesperian Period could have been recycled to form new rock elsewhere. Our results permit prediction that lithified deltaic sediments at the Perseverance (landing in 2021) and Rosalind Franklin (landing in 2023) rover field sites could contain extraformational recycled sediment.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02244.1","usgsCitation":"Edgett, K.S., Banham, S., Bennett, K.A., Edgar, L.A., Edwards, C., Fairen, A., Fedo, C.M., Fey, D.M., Garvin, J.B., Grotzinger, J.P., Gupta, S., Henderson, M., House, C.H., Mangold, N., McLennan, S., Newsom, H.E., Rowland, S., Siebach, K.L., Thompson, L., VanBommel, S., Wiens, R.C., Williams, R., and Yingst, A., 2020, Extraformational sediment recycling on Mars: Geosphere, v. 6, no. 16, p. 1508-1537, https://doi.org/10.1130/GES02244.1.","productDescription":"30 p.","startPage":"1508","endPage":"1537","ipdsId":"IP-119406","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":455115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02244.1","text":"Publisher Index 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,{"id":70216401,"text":"70216401 - 2020 - Decontamination of Ceratocystis pathogens responsible for rapid ʻŌhiʻa Death","interactions":[],"lastModifiedDate":"2020-11-17T12:42:52.924016","indexId":"70216401","displayToPublicDate":"2020-10-06T08:07:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7355,"text":"Plant Health Progress","active":true,"publicationSubtype":{"id":10}},"title":"Decontamination of Ceratocystis pathogens responsible for rapid ʻŌhiʻa Death","docAbstract":"

Rapid ʻōhiʻa death (ROD) is caused by two recently described species of Ceratocystis, C. lukuohia and C. huliohia. These fungi are decimating ʻōhiʻa lehua (Metrosideros polymorpha), the keystone native tree species of Hawaiʻi. Viable Ceratocystis propagules can persist in ambrosia beetle frass (Coleoptera: Scolytinae), and movement of the frass may play a key role in the spread of the disease. In order to prevent the spread of ROD, we developed effective and practical surface (e.g., tools and shoes) decontamination methods to be used by researchers, managers, and the public alike. We first tested different household and laboratory disinfectants on the Ceratocystis fungi in culture, and then we applied the effective culture disinfectants to contaminated ambrosia beetle frass. Laboratory-grade ethanol (70, 80, and 95%), Clorox bleach (10%, 0.825% active ingredient [a.i.]), and isopropanol (70 and 91%), were all equally effective at decontaminating cultured C. lukuohia and C. huliohia. Although all concentrations of isopropanol (50, 70, and 90%) and ethanol (50, 70, and 90%) were effective disinfectants of Ceratocystis-contaminated frass, treatments of frass with up to 20% Clorox bleach (1.2% a.i.) were not completely adequate at killing the fungus. These data reveal that bleach is not a sufficient ROD disinfectant when frass is present, and isopropanol or ethanol are the more reliable options.

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Preserve","interactions":[],"lastModifiedDate":"2020-10-16T12:56:39.896421","indexId":"70215375","displayToPublicDate":"2020-10-06T07:53:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Water balance as an indicator of natural resource condition: Case studies from Great Sand Dunes National Park and Preserve","docAbstract":"

Managing climate impacts to natural resources in protected areas can be hampered by lack of monitoring data, poor understanding of natural resource responses to climate, or lack of timely condition assessments that can inform management actions. Here we demonstrate the utility of water balance as a tool for understanding natural resource responses to climate by developing case studies focused on stream flow, vegetation production, and wildfire ignition at Great Sand Dunes National Park and Preserve (GSDNP), U.S.A. The efficacy of water balance to predict these responses stems from the explicit integration of climate with site conditions that modify the effects of climate. This in turn results in estimates of water availability, water use, and water need that are proximal drivers of aquatic and terrestrial natural resource conditions. The water balance model successfully forecasted stream flow (r2 = 0.69, P < 0.001); determined the critical water needs for maintaining annual vegetation production in different vegetation types spanning a large environmental gradient (r2 = 0.18–0.71); and predicted proportion of historic wildfire ignitions in forest (r2 = 0.96–0.99) and non-forest (r2 = 0.96–0.97) vegetation types. Collectively, these case studies demonstrate practical approaches to translate climate data into assessments of natural resource condition that inform long-term planning and near-term strategic actions needed for conservation of protected areas.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e01300","usgsCitation":"Thoma, D.P., Tercek, M.T., Schweiger, E.W., Munson, S.M., Gross, J.E., and Olliff, S.T., 2020, Water balance as an indicator of natural resource condition: Case studies from Great Sand Dunes National Park and Preserve: Global Ecology and Conservation, v. 24, e01300, 17 p., https://doi.org/10.1016/j.gecco.2020.e01300.","productDescription":"e01300, 17 p.","ipdsId":"IP-121269","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":455118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e01300","text":"Publisher Index Page"},{"id":379456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Sand Dunes National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.87249755859375,\n 37.568528265476075\n ],\n [\n -105.46051025390625,\n 37.48793540168987\n ],\n [\n -105.26275634765625,\n 37.63163475580643\n ],\n [\n -105.42755126953125,\n 37.88569271818349\n ],\n [\n -105.7269287109375,\n 38.05457952821193\n ],\n [\n -106.0235595703125,\n 38.035112420612975\n ],\n [\n -105.87249755859375,\n 37.568528265476075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":801891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tercek, Michael T.","contributorId":197257,"corporation":false,"usgs":false,"family":"Tercek","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":801892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweiger, E. William","contributorId":243260,"corporation":false,"usgs":false,"family":"Schweiger","given":"E.","email":"","middleInitial":"William","affiliations":[{"id":48669,"text":"National Park Service Inventory and Monitoring Program, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":801893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":801894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":801895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olliff, S. Tom","contributorId":243261,"corporation":false,"usgs":false,"family":"Olliff","given":"S.","email":"","middleInitial":"Tom","affiliations":[{"id":48671,"text":"National Park Service Climate Change Response Program, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":801896,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216497,"text":"70216497 - 2020 - Using movement to inform conservation corridor design for Mojave desert tortoise","interactions":[],"lastModifiedDate":"2020-11-24T13:54:06.084531","indexId":"70216497","displayToPublicDate":"2020-10-06T07:47:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using movement to inform conservation corridor design for Mojave desert tortoise","docAbstract":"

Background

Preserving corridors for movement and gene flow among populations can assist in the recovery of threatened and endangered species. As human activity continues to fragment habitats, characterizing natural corridors is important in establishing and maintaining connectivity corridors within the anthropogenic development matrix. The Mojave desert tortoise (Gopherus agassizii) is a threatened species occupying a variety of habitats in the Mojave and Colorado Deserts. Desert tortoises have been referred to as corridor-dwellers, and understanding how they move within suitable habitat can be crucial to defining corridors that will sustain sufficient gene flow to maintain connections among populations amidst the increases in human development.

Methods

To elucidate how tortoises traverse available habitat and interact with potentially inhospitable terrain and human infrastructure, we used GPS dataloggers to document fine-scale movement of individuals and estimate home ranges at ten study sites along the California/Nevada border. Our sites encompass a variety of habitats, including mountain passes that serve as important natural corridors connecting neighboring valleys, and are impacted by a variety of linear anthropogenic features. We used path selection functions to quantify tortoise movements and develop resistance surfaces based on landscape characteristics including natural features, anthropogenic alterations, and estimated home ranges with autocorrelated kernel density methods. Using the best supported path selection models and estimated home ranges, we determined characteristics of known natural corridors and compared them to mitigation corridors (remnant habitat patches) that have been integrated into land management decisions in the Ivanpah Valley.

Results

Tortoises avoided areas of high slope and low perennial vegetation cover, avoided moving near low-density roads, and traveled along linear barriers (fences and flood control berms).

Conclusions

We found that mitigation corridors designated between solar facilities should be wide enough to retain home ranges and maintain function. Differences in home range size and movement resistance between our two natural mountain pass corridors align with differences in genetic connectivity, suggesting that not all natural corridors provide the same functionality. Furthermore, creation of mitigation corridors with fences may have unintended consequences and may function differently than natural corridors. Understanding characteristics of corridors with different functionality will help future managers ensure that connectivity is maintained among Mojave desert tortoise populations.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-020-00224-8","usgsCitation":"Hromada, S.J., Esque, T., Vandergast, A.G., Dutcher, K.E., Mitchell, C.I., Gray, M.E., Chang, T., Dickson, B.G., and Nussear, K.E., 2020, Using movement to inform conservation corridor design for Mojave desert tortoise: Movement Ecology, v. 8, 38, 18 p., https://doi.org/10.1186/s40462-020-00224-8.","productDescription":"38, 18 p.","ipdsId":"IP-122372","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-020-00224-8","text":"Publisher Index Page"},{"id":380740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.49877929687499,\n 35.41591492345623\n ],\n [\n -114.3896484375,\n 35.41591492345623\n ],\n [\n -114.3896484375,\n 36.932330061503144\n ],\n [\n -117.49877929687499,\n 36.932330061503144\n ],\n [\n -117.49877929687499,\n 35.41591492345623\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hromada, Steven J.","contributorId":245147,"corporation":false,"usgs":false,"family":"Hromada","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":805444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dutcher, Kirsten E.","contributorId":221063,"corporation":false,"usgs":false,"family":"Dutcher","given":"Kirsten","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":805447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Corey I","contributorId":245149,"corporation":false,"usgs":false,"family":"Mitchell","given":"Corey","email":"","middleInitial":"I","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":805448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Miranda E","contributorId":221848,"corporation":false,"usgs":false,"family":"Gray","given":"Miranda","email":"","middleInitial":"E","affiliations":[{"id":40441,"text":"Conservation Science Partners, Truckee, CA","active":true,"usgs":false}],"preferred":false,"id":805449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chang, Tony","contributorId":191992,"corporation":false,"usgs":false,"family":"Chang","given":"Tony","email":"","affiliations":[],"preferred":false,"id":805450,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dickson, Brett G.","contributorId":221849,"corporation":false,"usgs":false,"family":"Dickson","given":"Brett","email":"","middleInitial":"G.","affiliations":[{"id":40442,"text":"Conservation Science Partners, Truckee, CA; Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":805451,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nussear, Kenneth E.","contributorId":117361,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":805452,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70215190,"text":"70215190 - 2020 - Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling","interactions":[],"lastModifiedDate":"2020-10-10T12:58:01.214192","indexId":"70215190","displayToPublicDate":"2020-10-06T07:44:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling","docAbstract":"

Megafires are large wildfires that occur under extreme weather conditions and produce mixed burn severities across diverse environmental gradients. Assessing megafire effects requires data covering large spatiotemporal extents, which are difficult to collect from field inventories. Remote sensing provides an alternative but is limited in revealing post-fire recovery trajectories and the underlying processes that drive the recovery. We developed a novel framework to spatially reconstruct the post-fire time-series of forest conditions after the 1987 Black Dragon fire of China by integrating a forest landscape model (LANDIS) with remote sensing and inventory data. We derived pre-fire (1985) forest composition and the megafire perimeter and severity using remote sensing and inventory data. We simulated the megafire and the post-megafire forest recovery from 1985 to 2015 using the LANDIS model. We demonstrated that the framework was effective in reconstructing the post-fire stand dynamics and that it is applicable to other types of disturbances.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2020.104884","usgsCitation":"Xu, W., He, H., Fraser, J.S., Hawbaker, T., Henne, P., Duan, S., and Zhu, Z., 2020, Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling: Environmental Modelling and Software, v. 134, 104884, 10 p., https://doi.org/10.1016/j.envsoft.2020.104884.","productDescription":"104884, 10 p.","ipdsId":"IP-119940","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":455122,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2020.104884","text":"Publisher Index Page"},{"id":436764,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HRHBXZ","text":"USGS data release","linkHelpText":"Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling"},{"id":379290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117.0703125,\n 46.558860303117164\n ],\n [\n 133.59375,\n 46.558860303117164\n ],\n [\n 133.59375,\n 54.57206165565852\n ],\n [\n 117.0703125,\n 54.57206165565852\n ],\n [\n 117.0703125,\n 46.558860303117164\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Wenru","contributorId":222616,"corporation":false,"usgs":false,"family":"Xu","given":"Wenru","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":801112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Hong","contributorId":242923,"corporation":false,"usgs":false,"family":"He","given":"Hong","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":801113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraser, Jacob S.","contributorId":206005,"corporation":false,"usgs":false,"family":"Fraser","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":37214,"text":"University of Missouri – Columbia","active":true,"usgs":false}],"preferred":false,"id":801114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":801115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":801116,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duan, Shengwu","contributorId":242925,"corporation":false,"usgs":false,"family":"Duan","given":"Shengwu","email":"","affiliations":[{"id":36845,"text":"School of Natural Resources, University of Missouri","active":true,"usgs":false}],"preferred":false,"id":801117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":801118,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}