The satellite‐derived Normalized Difference Vegetation Index (NDVI) is commonly used by researchers and managers to represent ungulate forage conditions in landscapes across the globe, despite limited information about how it compares to empirical measurements of forage quality and quantity. The application of NDVI as a forage metric is particularly appealing for studying migratory caribou (Rangifer tarandus) in remote Arctic ecosystems, where field assessments are logistically and financially prohibitive, and climate‐mediated changes in vegetation have been hypothesized to influence population declines. To determine the utility of NDVI for adequately representing caribou forage conditions, we compared NDVI derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery to empirical measures of caribou forage biomass, nitrogen, digestible nitrogen, and digestible energy within the summer range of the Central Arctic Caribou Herd on the North Slope of Alaska. Specifically, we determined the strength of forage–NDVI relationships at the start of the growing season and across the summer, assessed the efficacy of NDVI variables for modeling spatiotemporal variation in field measurements of different forage components, and used long‐term MODIS data to estimate temporal changes in forage between 2000 and 2016. We found that NDVI values were weakly correlated with caribou forage quality at the start of the growing season and throughout the summer. Although linear models of forage–NDVI relationships performed poorly, NDVI variables (NDVI and the number of days from when NDVI reached its maximum value) were useful for modeling spatiotemporal variation in empirical measurements of forage components across the growing season, but only when we incorporated nonlinear forage–NDVI relationships and other habitat covariates. Phenological advances in the date of peak NDVI were associated with significant changes in forage conditions, particularly nitrogen, which exhibited earlier seasonal declines. Using long‐term MODIS data, predicted values of forage nitrogen declined between 2000 and 2016, driven by exceedingly low values in 2014 and 2015. Given our results, we caution the application of NDVI as a general (linear) proxy of caribou forage conditions across the growing season, and encourage practitioners to use NDVI variables to model spatiotemporal variation in specific forage conditions from empirical field data, accounting for nonlinear forage–NDVI relationships.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2461","usgsCitation":"Johnson, H.E., Gustine, D., Golden, T.S., Adams, L.G., Parrett, L.S., Lenart, E.A., and Barboza, P.S., 2018, NDVI exhibits mixed success in predicting spatiotemporal variation in caribou summer forage quality and quantity: Ecosphere, v. 9, no. 10, p. 1-19, https://doi.org/10.1002/ecs2.2461.","productDescription":"e02461; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-096032","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2461","text":"Publisher Index Page"},{"id":358477,"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 -150.062255859375,\n 68.50811862333941\n ],\n [\n -147.908935546875,\n 68.50811862333941\n ],\n [\n -147.908935546875,\n 70.53954317685509\n ],\n [\n -150.062255859375,\n 70.53954317685509\n ],\n [\n -150.062255859375,\n 68.50811862333941\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5bed4273e4b0b3fc5cf91c8a","contributors":{"authors":[{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gustine, David D.","contributorId":209728,"corporation":false,"usgs":false,"family":"Gustine","given":"David D.","affiliations":[{"id":37975,"text":"Grand Teton National Park","active":true,"usgs":false}],"preferred":false,"id":748652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Trevor S. 0000-0003-4138-9289","orcid":"https://orcid.org/0000-0003-4138-9289","contributorId":209729,"corporation":false,"usgs":true,"family":"Golden","given":"Trevor","email":"","middleInitial":"S.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":748653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Layne G. 0000-0001-6212-2856 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2856","contributorId":209730,"corporation":false,"usgs":true,"family":"Adams","given":"Layne","email":"ladams@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":748654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parrett, Lincoln S.","contributorId":209731,"corporation":false,"usgs":false,"family":"Parrett","given":"Lincoln","email":"","middleInitial":"S.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":748655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lenart, Elizabeth A.","contributorId":209732,"corporation":false,"usgs":false,"family":"Lenart","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":748656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barboza, Perry S.","contributorId":36454,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","email":"","middleInitial":"S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":748657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200420,"text":"70200420 - 2018 - Evaluation of biodiversity data portals based on requirement analysis","interactions":[],"lastModifiedDate":"2018-10-17T10:56:55","indexId":"70200420","displayToPublicDate":"2018-10-17T10:56:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of biodiversity data portals based on requirement analysis","docAbstract":"In recent years, concern about the misuse of natural resources has been increasing. It is essential to know in detail the biodiversity of an ecosystem to understand and analyze the impact of human activities on nature, as well as to promote the economic growth of a country. To achieve these goals, public and private institutions are aggregating and sharing biological data around the world by means of biodiversity data portals. The main purpose of those portals is to provide a set of tools that help users and institutions catalog, analyze, and publish raw data about different species in a manner that is open and freely available to any interested party. Normally the process of choosing the best software solution is not straightforward. This paper proposes a methodology to evaluate a collection of data portals to establish a clear and consistent selection process that analyzes a collection of requirements and research purposes. The proposed approach is based on three strategies: the use of software engineering techniques to identify the desired group of features to be available in the data portal; the application of the Kano Satisfaction Model to score each requirement according to a preset weight of importance; and the use of tree-maps to visualize the requirements based on their implementation priority, to establish a portal deployment road-map. The proposed methodology is broadly applicable to portal analyses for many communities of practice.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2018.09.008","usgsCitation":"Pizzigatti Correa, P.L., de Moraes Batista, A.F., Lins da Silva, D., Soares Rodrigues, R., Frame, M., Morandini, M., Stanzani, S., and Correa, F., 2018, Evaluation of biodiversity data portals based on requirement analysis: Ecological Informatics, v. 48, p. 215-225, https://doi.org/10.1016/j.ecoinf.2018.09.008.","productDescription":"11 p.","startPage":"215","endPage":"225","ipdsId":"IP-090505","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":487865,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://dx.doi.org/10.1016/j.ecoinf.2018.09.008","text":"External Repository"},{"id":358475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91ce4b034bf6a7e4fdf","contributors":{"authors":[{"text":"Pizzigatti Correa, Pedro Luiz","contributorId":209775,"corporation":false,"usgs":false,"family":"Pizzigatti Correa","given":"Pedro","email":"","middleInitial":"Luiz","affiliations":[],"preferred":false,"id":748797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Moraes Batista, Andre Filipe","contributorId":209776,"corporation":false,"usgs":false,"family":"de Moraes Batista","given":"Andre","email":"","middleInitial":"Filipe","affiliations":[],"preferred":false,"id":748798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins da Silva, Daniel","contributorId":209777,"corporation":false,"usgs":false,"family":"Lins da Silva","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":748799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soares Rodrigues, Ronaldo","contributorId":209778,"corporation":false,"usgs":false,"family":"Soares Rodrigues","given":"Ronaldo","email":"","affiliations":[],"preferred":false,"id":748800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frame, Mike 0000-0001-9995-2172 mike_frame@usgs.gov","orcid":"https://orcid.org/0000-0001-9995-2172","contributorId":4541,"corporation":false,"usgs":true,"family":"Frame","given":"Mike","email":"mike_frame@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":748753,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morandini, Marcelo","contributorId":209779,"corporation":false,"usgs":false,"family":"Morandini","given":"Marcelo","email":"","affiliations":[],"preferred":false,"id":748801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanzani, Silvio","contributorId":209780,"corporation":false,"usgs":false,"family":"Stanzani","given":"Silvio","email":"","affiliations":[],"preferred":false,"id":748802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Correa, Fernando","contributorId":209781,"corporation":false,"usgs":false,"family":"Correa","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":748803,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196511,"text":"ofr20181055 - 2018 - Determination of representative uranium and selenium concentrations from groundwater, 2016, Homestake Mining Company Superfund site, Milan, New Mexico","interactions":[],"lastModifiedDate":"2018-10-17T07:33:40","indexId":"ofr20181055","displayToPublicDate":"2018-10-17T08:30:00","publicationYear":"2018","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":"2018-1055","title":"Determination of representative uranium and selenium concentrations from groundwater, 2016, Homestake Mining Company Superfund site, Milan, New Mexico","docAbstract":"In 2016, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, collected data on isotopes, age dating, and geochemistry including aqueous uranium concentrations of samples from 20 locations in the vicinity of the Homestake Mining Company Superfund site near Milan, New Mexico. The 20 sampled locations include 19 groundwater wells and 1 treatment plant for water used for injection into aquifers. At 6 of the 19 wells, multiple samples were collected by several different sampling methods, including passive, micropurge, and volumetric methods.
Aqueous uranium concentrations were adjusted on the basis of comparisons between three sampling methods (called sample adjustments). These adjustments were specific to passive sample results because they underestimated uranium concentrations compared with results from purge samples (micropurge and volumetric). Sample adjustments were also made on aqueous selenium concentrations from previously published data for passive sampler results following a similar procedure.
Aqueous uranium concentrations in dissolved and total form were adjusted from the original analytical values (called laboratory analytical adjustments) on the basis of a rigorous comparison to several external tests, including reruns and analysis by a different laboratory after accuracy issues were identified in data from the original laboratory. The original laboratory analytical results were found to be two to five times greater than historical concentrations at the same locations, which prompted further evaluation, as described in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181055","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Harte, P.T., Blake, J.M., and Becher, K.D., 2018, Determination of representative uranium and selenium concentrations from groundwater, 2016, Homestake Mining Company Superfund site, Milan, New Mexico: U.S. Geological Survey Open-File Report 2018–1055, 40 p., appendixes, https://doi.org/10.3133/ofr20181055.","productDescription":"Report: vii, 37 p.; Appendix; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091402","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":355297,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1055/coverthb.jpg"},{"id":355299,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CR5RJS","text":"USGS data release","description":"USGS data release","linkHelpText":"Data Associated with Uranium Background Concentrations at Homestake Mining Company Superfund Site near Milan, New Mexico, July 2016 through October 2016 "},{"id":358281,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1055/ofr20181055_app2.csv","text":"Appendix 2","size":"12.6 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"Original and adjusted aqueous uranium concentrations"},{"id":355298,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1055/ofr20181055.pdf","text":"Report","size":"6.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1055"}],"country":"United States","state":"New Mexico","city":"Milan","otherGeospatial":"Homestake Mining Company Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.8917,\n 35.2083\n ],\n [\n -107.8417,\n 35.2083\n ],\n [\n -107.8417,\n 35.275\n ],\n [\n -107.8917,\n 35.275\n ],\n [\n -107.8917,\n 35.2083\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey 331
Commerce Way, Suite 2
Pembroke, NH 03275
Long‐distance migration by terrestrial mammals is a phenomenon critical to the persistence of populations, but such migrations are declining globally because of over‐harvest, habitat loss, and movement barriers. Increasingly, there is a need to improve existing routes, mitigate route segments affected by anthropogenic disturbance, and in some instances, determine whether alternative routes are available. Using a hypothesis‐driven approach, we identified landscape features associated with the primary functional attributes, stopovers and movement corridors, of spring migratory routes for mule deer in two study areas using resource selection functions. Patterns of selection for landscape attributes of movement corridors and stopovers mostly were similar; however, landscape features associated with movement corridors aligned better with areas that facilitated movement, whereas selection of stopovers was consistent with sites offering early access to spring forage. For movement corridors, deer selected for dry sites, low elevation, and low anthropogenic disturbance. For stopovers, deer selected for dry sites, with consistently early green‐up across years, south‐southwesterly aspects, low elevation, and low anthropogenic disturbance. Stopovers and movement corridors of a migratory route presumably promote different functions, but for a terrestrial migrant, patterns of habitat selection indicate that the same general habitat attributes may facilitate both movement and foraging in spring. Our findings emphasize the roles of topographical wetness, vegetation phenology, and anthropogenic disturbance in shaping use of the landscape during migration for this large herbivore. Avoiding human disturbance and tracking ephemeral forage resources appear to be a consistent pattern during migration, which reinforces the notion that movement during migration has a nutritional underpinning and disturbance potentially alters the net benefits of migration.
Two three-dimensional seismic surveys totaling 3.4 square miles were acquired in southeastern Miami-Dade County during 2015 as part of an ongoing broad regional investigation by the U.S. Geological Survey, in cooperation with the Miami-Dade Water and Sewer Department, that includes mapping and karst characterization of the Floridan aquifer system in southeastern Florida. Twenty columniform seismic-sag structures were identified in the three-dimensional seismic data acquired at the South Miami Heights study area in Miami-Dade County, Florida. The seismic-sag structures are commonly composed of a lower and upper seismic facies, where the lower facies is interpreted to be a high permeability column-shaped volume of intense karstification composed of faults, fractures, and collapsed caves, and the upper facies is interpreted to be a lower permeability column-shaped volume composed of sagging suprastratal reflections having little or no faulting, fracturing, or caves. The seismic-sag structures are columniform karst-collapse structures that formed by cave collapse or stoping (upward void migration caused primarily by the mechanical process of ceiling collapse) or both in carbonate rocks of the early Eocene Oldsmar Formation and in some cases in the lowermost part of the middle Eocene Avon Park Formation. Columniform subsidence and sagging of overburden succeeded karst collapse in the lower part of the structures. At the study area, there may be relatively higher potential for the columniform karst-collapse structures to provide cross-formational fluid migration upward from the Boulder Zone into the lower part of middle confining unit 2 as compared to a lower potential for cross-formational fluid migration from the upper part of middle confining unit 2 upward to the Upper Floridan aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185117","collaboration":"Prepared in cooperation with the Miami-Dade County Water and Sewer Department","usgsCitation":"Cunningham, K.J., Dixon, J.F., Westcott, R.L., Norgard, S., and Walker, C., 2018, Three-dimensional seismic characterization of karst in the Floridan aquifer system, southeastern Miami-Dade County, Florida: U.S. Geological Survey Scientific Investigations Report 2018–5117, 39 p., https://doi.org/10.3133/sir20185117.","productDescription":"vii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-085156","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":358377,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5117/coverthb.jpg"},{"id":358378,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5117/sir20185117.pdf","text":"Report","size":"30.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5117"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Floridan Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.40442943572998,\n 25.562574731286375\n ],\n [\n -80.37142753601074,\n 25.562574731286375\n ],\n [\n -80.37142753601074,\n 25.591607129189303\n ],\n [\n -80.40442943572998,\n 25.591607129189303\n ],\n [\n -80.40442943572998,\n 25.562574731286375\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
We conducted the first systematic inventory of birds in the lowlands (areas ≤100 m above sea level) of the Alaska Peninsula during summers of 2004–2007 to determine their breeding distributions and habitat associations in this remote region. Using a stratified random survey design, we allocated sample plots by elevation and land cover with a preference for wetland cover types used by shorebirds, a group of particular interest to land managers. We surveyed birds during 10-min counts at 792 points across 52, 5 km × 5 km sample plots distributed from south of the Naknek River (58.70°N,157.00°W) to north of Port Moller (56.00°N,160.52°W). We detected 95 bird species including 19 species of shorebirds and 34 species (36% of total) considered at the time to be of conservation concern for the land managers in the region. The most numerous shorebirds on point counts were dunlin Calidris alpina, short-billed dowitcher Limnodromus griseus, and Wilson's snipe Gallinago delicata.We found the breeding-season endemic marbled godwit Limosa fedoa beringiae at 20 plots within a 3,000-km2 area from north of Ugashik Bay to just north of Port Heiden and east to the headwaters of the Dog Salmon and Ugashik rivers. The most abundant passerines on point counts were American tree sparrow Spizelloides arborea, Lapland longspur Calcarius lapponicus, and savannah sparrow Passerculus sandwichensis. Sandhill crane Antigone canadensis, glaucous-winged gull Larus glaucescens, and greater scaup Aythya marila were also relatively abundant. We categorized habitat associations for 30 common species and found that lowland herbaceous vegetation supported wetland-focused species including sandhill crane, marbled godwit, short-billed dowitcher, and dunlin; whereas, dwarf shrub-ericaceous vegetation supported tundra-associated species such as willow ptarmigan Lagopus lagopus, rock sandpiper Calidris ptilocnemis, and American pipit Anthus rubescens. Tall shrub vegetation was important to several species of warblers and sparrows, as well as one species of shorebird (greater yellowlegs Tringa melanoleuca). We found that point counts augmented with incidental observations provided an almost complete inventory of lowland-breeding species on the study area. These data form a baseline to monitor any future changes in bird distribution and abundance on the Alaska Peninsula.
","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/082017-JFWM-070","usgsCitation":"Savage, S.E., Tibbitts, T.L., Sesser, K., and Kaler, R., 2018, Inventory of lowland-breeding birds on the Alaska Peninsula: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 637-658, https://doi.org/10.3996/082017-JFWM-070.","productDescription":"22 p.","startPage":"637","endPage":"658","ipdsId":"IP-090348","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468316,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082017-jfwm-070","text":"Publisher Index Page"},{"id":437716,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FR8FLZ","text":"USGS data release","linkHelpText":"Inventory Data of Lowland-Breeding Birds and Associated Vegetation Types on the Alaska Peninsula, 2004-2007"},{"id":358402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164,\n 54.5\n ],\n [\n -152,\n 54.5\n ],\n [\n -152,\n 59\n ],\n [\n -164,\n 59\n ],\n [\n -164,\n 54.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","scienceBaseUri":"5c10a91ce4b034bf6a7e4fe6","contributors":{"authors":[{"text":"Savage, Susan E.","contributorId":140748,"corporation":false,"usgs":false,"family":"Savage","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":748673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":748672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sesser, Kristin","contributorId":209737,"corporation":false,"usgs":false,"family":"Sesser","given":"Kristin","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":748674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaler, Robb S.A.","contributorId":69066,"corporation":false,"usgs":true,"family":"Kaler","given":"Robb S.A.","affiliations":[],"preferred":false,"id":748675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200384,"text":"70200384 - 2018 - Museum metabarcoding: a novel method revealing gut helminth communities of small mammals across space and time","interactions":[],"lastModifiedDate":"2018-11-14T08:57:22","indexId":"70200384","displayToPublicDate":"2018-10-16T12:05:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Museum metabarcoding: a novel method revealing gut helminth communities of small mammals across space and time","docAbstract":"Natural history collections spanning multiple decades provide fundamental historical baselines to measure and understand changing biodiversity. New technologies such as next generation DNA sequencing (NGS) have considerably increased the potential of museum specimens to address significant questions regarding the impact of environmental changes on host and parasite/pathogen dynamics. We developed a new technique to identify intestinal helminth parasites and applied it to shrews (Eulipotyphla: Soricidae) because they are ubiquitous, occupy diverse habitats, and host a diverse and abundant parasite fauna. Notably, we included museum specimens preserved in various ways to explore the efficacy of using metabarcoding analyses that may enable identification of helminth symbiont communities from historical archives. We successfully sequenced the parasite communities (using 12S mtDNA, 16S mtDNA, 28S rDNA) of 23 whole gastrointestinal (GI) tracts. All GI tracts were obtained from the Museum of Southwestern Biology (MSB), USA, and from recent field collections, varying both in time since fixation (ranging from 4 months to 16 years) and preservation method (70% or 95% ethanol stored at room temperature, or flash frozen in liquid nitrogen and stored at -80°C). Our proof of concept demonstrates the feasibility of applying NGS techniques to authoritatively identify the parasite/pathogen communities within whole GI tracts from museum specimens of varying age and fixation, and the value of future preservation of host-associated whole GI tracts in public research archives. This powerful approach facilitates future comparative examinations of the distributions and interactions among multiple associated groups of organisms through time and space.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijpara.2018.08.001","usgsCitation":"Greiman, S.E., Cook, J.A., Tkach, V.V., Hoberg, E.P., Menning, D.M., Hope, A.G., Sonsthagen, S.A., and Talbot, S.L., 2018, Museum metabarcoding: a novel method revealing gut helminth communities of small mammals across space and time: International Journal for Parasitology, v. 48, no. 13, p. 1061-1070, https://doi.org/10.1016/j.ijpara.2018.08.001.","productDescription":"10 p.","startPage":"1061","endPage":"1070","ipdsId":"IP-090506","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468317,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijpara.2018.08.001","text":"Publisher Index Page"},{"id":437717,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YH4C20","text":"USGS data release","linkHelpText":"Shrew (Sorex sp.) 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The strongest signals are caused by freight trains passing through the Coachella Valley north of Anza. Train‐induced transients are observed at distances of up to 50 km from the railway, with durations of up to 20 min, and spectra that are peaked between 3 and 5 Hz. Additionally, truck traffic through the Coachella Valley generates a sustained hum with a similar spectral signature as the train transients but with lower amplitude. We also find that wind turbine activity in northern Baja California introduces a seasonal modulation of 1– to 5‐Hz energy across the Anza network. We show that the observed train‐generated transients can be used to constrain shallow attenuation structure at Anza. Using the results from this study as well as available borehole data, we further evaluate the performance of approaches that have been used to detect nonvolcanic tremor at Anza. We conclude that signals previously identified as spontaneous tremor (Hutchison and Ghosh, 2017) were probably generated by other nontectonic sources such as trains.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180130","usgsCitation":"Inbal, A., Cristea-Platon, T., Ampuero, J., Hillers, G., Agnew, D., and Hough, S.E., 2018, Sources of long-range anthropogenic noise in southern California and implications for tectonic tremor detection: Bulletin of the Seismological Society of America, v. 108, no. 6, p. 3511-3527, https://doi.org/10.1785/0120180130.","productDescription":"17 p.","startPage":"3511","endPage":"3527","ipdsId":"IP-101208","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":500031,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10138/307688","text":"External Repository"},{"id":482224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.875,\n 34\n ],\n [\n -116.875,\n 33.25\n ],\n [\n -116.2,\n 33.25\n ],\n [\n -116.2,\n 34\n ],\n [\n -116.875,\n 34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Inbal, Asaf","contributorId":350975,"corporation":false,"usgs":false,"family":"Inbal","given":"Asaf","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":927588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cristea-Platon, Tudor","contributorId":350976,"corporation":false,"usgs":false,"family":"Cristea-Platon","given":"Tudor","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":927589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ampuero, Jean-Paul","contributorId":141194,"corporation":false,"usgs":false,"family":"Ampuero","given":"Jean-Paul","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":927590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hillers, Gregor","contributorId":236647,"corporation":false,"usgs":false,"family":"Hillers","given":"Gregor","email":"","affiliations":[{"id":47489,"text":"Institute of Seismology, University of Helsinki, Helsinki, Finland","active":true,"usgs":false}],"preferred":false,"id":927591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agnew, Duncan 0000-0002-2360-7783","orcid":"https://orcid.org/0000-0002-2360-7783","contributorId":178605,"corporation":false,"usgs":false,"family":"Agnew","given":"Duncan","email":"","affiliations":[],"preferred":false,"id":927592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927593,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263697,"text":"70263697 - 2018 - Ground motions from the 7 and 19 September 2017 Tehuantepec and Puebla‐Morelos, Mexico, earthquakes","interactions":[],"lastModifiedDate":"2025-02-20T16:19:00.670279","indexId":"70263697","displayToPublicDate":"2018-10-16T10:11:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground motions from the 7 and 19 September 2017 Tehuantepec and Puebla‐Morelos, Mexico, earthquakes","docAbstract":"The 2017 M 8.2 Tehuantepec and M 7.1 Puebla‐Morelos earthquakes were deep inslab normal‐faulting events that caused significant damage to several central‐to‐southern regions of Mexico. Inslab earthquakes are an important component of seismicity and seismic hazard in Mexico. Ground‐motion prediction equations (GMPEs) are an integral part of seismic hazard assessment as well as risk and rapid‐response products. This work examines the observed ground motions from these two events in comparison to the predicted median ground motions from four GMPEs. The residuals between the observed and modeled ground motions allow us to study regional differences in shaking, the effects of each earthquake, and basin effects in Mexico City, Puebla, and Oaxaca. We find that the ground motions from these two earthquakes are generally well modeled by the GMPEs. However, the Tehuantepec event shows larger than expected ground motions at greater distances and longer periods, which suggests a waveguide effect from the subduction zone geometry. Finally, Mexico City and the cities of Puebla and Oaxaca exhibit very large ground motions, indicative of well‐known site and basin effects that are much stronger than the basin terms included in some of the GMPEs. Simple and rapid ground‐motion parameter estimates that include site effects are key for hazard and real‐time risk assessments in regions such as Mexico, where the vast majority of the population lives in areas where the aforementioned effects are relevant. However, GMPEs based on site correction terms dependent on topographic slope proxies underestimate, at least in the three cities tackled in this work, the observed amplification. Therefore, there is a need to improve models of seismic amplification in basins that could be included in GMPEs.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180108","usgsCitation":"Sahakian, V.J., Melgar Moctezuma, D., Quintanar, L., Ramirez-Guzman, L., Perez-Campos, X., and Baltay Sundstrom, A.S., 2018, Ground motions from the 7 and 19 September 2017 Tehuantepec and Puebla‐Morelos, Mexico, earthquakes: Bulletin of the Seismological Society of America, v. 108, no. 6, p. 3300-3312, https://doi.org/10.1785/0120180108.","productDescription":"13 p.","startPage":"3300","endPage":"3312","ipdsId":"IP-096930","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Puebla‐Morelos, Tehuantepec","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102,\n 21\n ],\n [\n -102,\n 15\n ],\n [\n -91.5,\n 15\n ],\n [\n -91.5,\n 21\n ],\n [\n -102,\n 21\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Sahakian, Valerie Jean 0000-0002-3278-4458","orcid":"https://orcid.org/0000-0002-3278-4458","contributorId":296738,"corporation":false,"usgs":true,"family":"Sahakian","given":"Valerie","email":"","middleInitial":"Jean","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melgar Moctezuma, Diego","contributorId":351083,"corporation":false,"usgs":false,"family":"Melgar Moctezuma","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":927871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quintanar, Luis","contributorId":208095,"corporation":false,"usgs":false,"family":"Quintanar","given":"Luis","email":"","affiliations":[{"id":37714,"text":"Instituto de Geofísica, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":927872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramirez-Guzman, Leonardo","contributorId":151026,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":927873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez-Campos, Xyoli","contributorId":351084,"corporation":false,"usgs":false,"family":"Perez-Campos","given":"Xyoli","affiliations":[{"id":16152,"text":"UNAM","active":true,"usgs":false}],"preferred":false,"id":927874,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927875,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200374,"text":"70200374 - 2018 - Fuelling conditions at staging sites can mitigate Arctic warming effects in a migratory bird","interactions":[],"lastModifiedDate":"2018-10-15T15:51:11","indexId":"70200374","displayToPublicDate":"2018-10-15T15:51:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Fuelling conditions at staging sites can mitigate Arctic warming effects in a migratory bird","docAbstract":"Under climate warming, migratory birds should align reproduction dates with advancing plant and arthropod phenology. To arrive on the breeding grounds earlier, migrants may speed up spring migration by curtailing the time spent en route, possibly at the cost of decreased survival rates. Based on a decades-long series of observations along an entire flyway, we show that when refuelling time is limited, variation in food abundance in the spring staging area affects fitness. Bar-tailed godwits migrating from West Africa to the Siberian Arctic reduce refuelling time at their European staging site and thus maintain a close match between breeding and tundra phenology. Annual survival probability decreases with shorter refuelling times, but correlates positively with refuelling rate, which in turn is correlated with food abundance in the staging area. This chain of effects implies that conditions in the temperate zone determine the ability of godwits to cope with climate-related changes in the Arctic.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-06673-5","usgsCitation":"Rakhimberdiev, E., Duijns, S., Karagicheva, J., Camphuysen, C.J., Dekinga, A., Dekker, R., Gavrilov, A., ten Horn, J., Jukema, J., Saveliev, A., Soloviev, M., Tibbitts, T.L., van Gils, J.A., Piersma, T., and Castricum, V., 2018, Fuelling conditions at staging sites can mitigate Arctic warming effects in a migratory bird: Nature Communications, v. 9, no. 1, p. 1-10, https://doi.org/10.1038/s41467-018-06673-5.","productDescription":" Article number: 4263; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-090346","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-06673-5","text":"Publisher Index Page"},{"id":358394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-15","publicationStatus":"PW","scienceBaseUri":"5c10a91de4b034bf6a7e4fe9","contributors":{"authors":[{"text":"Rakhimberdiev, Eldar","contributorId":209701,"corporation":false,"usgs":false,"family":"Rakhimberdiev","given":"Eldar","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duijns, Sjoerd","contributorId":209702,"corporation":false,"usgs":false,"family":"Duijns","given":"Sjoerd","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karagicheva, Julia","contributorId":209703,"corporation":false,"usgs":false,"family":"Karagicheva","given":"Julia","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camphuysen, Cornelis J.","contributorId":209704,"corporation":false,"usgs":false,"family":"Camphuysen","given":"Cornelis","email":"","middleInitial":"J.","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dekinga, Anne","contributorId":203122,"corporation":false,"usgs":false,"family":"Dekinga","given":"Anne","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dekker, Rob","contributorId":209706,"corporation":false,"usgs":false,"family":"Dekker","given":"Rob","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gavrilov, Anatoly","contributorId":209709,"corporation":false,"usgs":false,"family":"Gavrilov","given":"Anatoly","email":"","affiliations":[{"id":37971,"text":"Directorate of Taimyrsky Reserves","active":true,"usgs":false}],"preferred":false,"id":748610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"ten Horn, Job","contributorId":209707,"corporation":false,"usgs":false,"family":"ten Horn","given":"Job","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jukema, Joop","contributorId":209708,"corporation":false,"usgs":false,"family":"Jukema","given":"Joop","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Saveliev, Anatoly","contributorId":209710,"corporation":false,"usgs":false,"family":"Saveliev","given":"Anatoly","email":"","affiliations":[{"id":37972,"text":"Institute of Environmental Sciences, Kazan Federal University","active":true,"usgs":false}],"preferred":false,"id":748611,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Soloviev, Mikhail","contributorId":209711,"corporation":false,"usgs":false,"family":"Soloviev","given":"Mikhail","email":"","affiliations":[{"id":37973,"text":"Department of Vertebrate Zoology, Biological Faculty, Lomonosov Moscow State University","active":true,"usgs":false}],"preferred":false,"id":748612,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":748598,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"van Gils, Jan A.","contributorId":141170,"corporation":false,"usgs":false,"family":"van Gils","given":"Jan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748608,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Piersma, Theunis 0000-0001-9668-466X","orcid":"https://orcid.org/0000-0001-9668-466X","contributorId":203123,"corporation":false,"usgs":false,"family":"Piersma","given":"Theunis","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748609,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Castricum, VRS","contributorId":209705,"corporation":false,"usgs":false,"family":"Castricum","given":"VRS","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":748603,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70200376,"text":"70200376 - 2018 - Novel ecological and climatic conditions drive rapid adaptation in invasive Florida Burmese pythons","interactions":[],"lastModifiedDate":"2019-01-28T09:01:02","indexId":"70200376","displayToPublicDate":"2018-10-15T15:46:01","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Novel ecological and climatic conditions drive rapid adaptation in invasive Florida Burmese pythons","docAbstract":"Invasive species provide powerful in situ experimental systems for studying evolution in response to selective pressures in novel habitats. While research has shown that phenotypic evolution can occur rapidly in nature, few examples exist of genome‐wide adaptation on short ‘ecological’ timescales. Burmese pythons (Python molurus bivittatus) have become a successful and impactful invasive species in Florida over the last 30 years despite major freeze events that caused high python mortality. We sampled Florida Burmese pythons before and after a major freeze event in 2010 and found evidence for directional selection in genomic regions enriched for genes associated with thermosensation, behavior, and physiology. Several of these genes are linked to regenerative organ growth, an adaptive response that modulates organ size and function with feeding and fasting in pythons. Independent histological and functional genomic datasets provide additional layers of support for a contemporary shift in invasive Burmese python physiology. In the Florida population, a shift towards maintaining an active digestive system may be driven by the fitness benefits of maintaining higher metabolic rates and body temperature during freeze events. Our results suggest that a synergistic interaction between ecological and climatic selection pressures have driven adaptation in Florida Burmese pythons, demonstrating the often‐overlooked potential of rapid adaptation to influence the success of invasive species.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14885","usgsCitation":"Card, D.C., Perry, B.W., Adams, R., Schield, D.R., Young, A.S., Andrew, A.L., Jezkova, T., Pasquesi, G., Hales, N.R., Walsh, M.R., Rochford, M.R., Mazzotti, F., Hart, K.M., Hunter, M., and Castoe, T.A., 2018, Novel ecological and climatic conditions drive rapid adaptation in invasive Florida Burmese pythons: Molecular Ecology, v. 27, no. 23, p. 4744-4757, https://doi.org/10.1111/mec.14885.","productDescription":"14 p.","startPage":"4744","endPage":"4757","ipdsId":"IP-089172","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":358393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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Erratum to The 2013–2016 induced earthquakes in Harper and Sumner Counties, southern Kansas","interactions":[],"lastModifiedDate":"2018-11-21T15:01:00","indexId":"70200373","displayToPublicDate":"2018-10-15T15:41:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Erratum to The 2013–2016 induced earthquakes in Harper and Sumner Counties, southern Kansas","docAbstract":"The authors identified two sets of minor errors in the paper by Rubinstein et al. (2018), which are corrected here.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180224","usgsCitation":"Rubinstein, J.L., Ellsworth, W., and Dougherty, S.L., 2018, Erratum to The 2013–2016 induced earthquakes in Harper and Sumner Counties, southern Kansas: Bulletin of the Seismological Society of America, v. 108, no. 6, p. 3699-3700, https://doi.org/10.1785/0120180224.","productDescription":"2 p.","startPage":"3699","endPage":"3700","ipdsId":"IP-100805","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":358391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","scienceBaseUri":"5bf67cf2e4b045bfcae2cff0","contributors":{"authors":[{"text":"Rubinstein, Justin L. 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":206551,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":748595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. 0000-0001-8378-4979","orcid":"https://orcid.org/0000-0001-8378-4979","contributorId":194691,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William L.","affiliations":[],"preferred":false,"id":748596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dougherty, Sara L. 0000-0002-5327-3286 sdougherty@usgs.gov","orcid":"https://orcid.org/0000-0002-5327-3286","contributorId":191210,"corporation":false,"usgs":true,"family":"Dougherty","given":"Sara","email":"sdougherty@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":748597,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200371,"text":"70200371 - 2018 - Interseismic ground deformation and fault slip rates in the greater San Francisco Bay Area from two decades of space geodetic data","interactions":[],"lastModifiedDate":"2018-10-23T16:40:08","indexId":"70200371","displayToPublicDate":"2018-10-15T15:38:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Interseismic ground deformation and fault slip rates in the greater San Francisco Bay Area from two decades of space geodetic data","docAbstract":"The detailed spatial variations of strain accumulation and creep on major faults in the northern San Francisco Bay Area (North Bay), which are important for seismic potential and evaluation of natural hazards, remain poorly understood. Here we combine interferometric synthetic aperture radar data from the ERS‐1/2 and Envisat satellites between 1992 and 2010 with continuous and campaign GPS data to obtain a high spatial and temporal coverage of ground deformation of the North Bay. The SAR data from both ascending and descending orbits are combined to separate horizontal and vertical components of the deformation. We jointly invert the horizontal component of the mean velocities derived from these data to infer the deep strike‐slip rates on major locked faults. We use the estimated deep rates to simulate the long‐wavelength deformation due to interseismic elastic strain accumulation along these locked faults. After removing the long‐wavelength signal from the InSAR horizontal mean velocity field, we estimate fault‐parallel surface creep rates of up to 2 mm/year along the central section of the Rodgers Creek fault and surface creep rates ranging between 2 and 4 mm/year along the Concord fault. No surface creep is geodetically resolved along the West Napa and Green Valley fault zones. We identified characteristically repeating earthquakes on the Rodgers Creek fault, the West Napa fault, the Green Valley fault, and the Concord fault. Nontectonic deformation in the Geysers geothermal field and in Late Cenozoic basins (Rohnert Park and Sonoma basins) are also observed, likely due to hydrological and sediment‐compaction processes, respectively.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016004","usgsCitation":"Xu, W., Wu, S., Materna, K.Z., Nadeau, R., Floyd, M., Funning, G.J., Chaussard, E., Johnson, C.W., Murray, J.R., Ding, X., and Burgmann, R., 2018, Interseismic ground deformation and fault slip rates in the greater San Francisco Bay Area from two decades of space geodetic data: Journal of Geophysical Research B: Solid Earth, v. 123, no. 9, p. 8095-8109, https://doi.org/10.1029/2018JB016004.","productDescription":"15 p.","startPage":"8095","endPage":"8109","ipdsId":"IP-099081","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016004","text":"Publisher Index 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wetlands","interactions":[],"lastModifiedDate":"2018-10-15T15:33:10","indexId":"70200366","displayToPublicDate":"2018-10-15T15:32:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands","docAbstract":"To inform sustainable energy development, it is important to understand the ecological effects of historical and current production practices and the persistence of those effects. The Williston Basin is one of North America's largest oil production areas and overlaps the Prairie Pothole Region, an area densely populated with wetlands that provide important wildlife habitat. Although historical disposal practices that released chloride-rich waters (brines) produced during oil extraction into the environment are no longer used, brine spills still occur frequently. We sampled 33 wetlands for three amphibian species in Montana and North Dakota during 2015–2017, primarily on National Wildlife Refuges, and used N-mixture models to determine how abundance varied with evidence of brine contamination. To provide insight into effects of historical versus contemporary contamination, we also estimated the association of well density and age with water quality and amphibian abundance. Abundance of boreal chorus frog (Pseudacris maculata) larvae declined most rapidly in response to increased chloride (range: 0.04–17,500 mg/L), followed by the northern leopard frog (Lithobates [Rana] pipiens) and barred tiger salamander (Ambystoma mavortium). Water quality and population- and community-level abundance of amphibians were more strongly related to nearby wells (≤800 m) installed before 1982 than to wells installed since 1982. These results suggest historical brine management practices were the primary driver of contamination and reduced amphibian abundance in wetlands we sampled, reflecting multi-decadal ecological effects. These persistent effects also underscore the critical need for tools to restore landscapes affected by brine contamination.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.10.007","usgsCitation":"Hossack, B.R., Smalling, K., Anderson, C.W., Preston, T.M., Cozzarelli, I.M., and Honeycutt, R.K., 2018, Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands: Biological Conservation, v. 228, p. 36-43, https://doi.org/10.1016/j.biocon.2018.10.007.","productDescription":"8 p.","startPage":"36","endPage":"43","ipdsId":"IP-097267","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.10.007","text":"Publisher Index Page"},{"id":358389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","volume":"228","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91ee4b034bf6a7e4ff3","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":204696,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":748565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748566,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196396,"text":"sir20185039 - 2018 - Compilation and assessment of resource values and hazards to inform transportation planning and associated land-use planning","interactions":[],"lastModifiedDate":"2018-10-15T16:27:53","indexId":"sir20185039","displayToPublicDate":"2018-10-15T15:15:00","publicationYear":"2018","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":"2018-5039","title":"Compilation and assessment of resource values and hazards to inform transportation planning and associated land-use planning","docAbstract":"Land-use planning has an important role in local, regional, State, and Federal land management, and planning efforts can benefit from consistent, spatially explicit information that can help guide priorities and decisions. The credibility and relevance of information used to inform planning activities depends on the availability of consistent information about the resources and values of interest or concern within the planning area. To support long-range transportation planning and other regional land-use planning efforts, the U.S. Geological Survey gathered, processed, interpreted, and compiled spatial datasets representing a wide range of information on terrestrial and aquatic ecosystem condition and importance, cultural (historical) features and places, and natural hazards. This report describes the spatial data compiled to represent natural landscape conditions (including social, cultural, and natural attributes) to estimate the potential importance of lands for wildlife, wild habitats, recreation, and conservation based on abundance of species, habitats, land and water conditions, and conservation designations. Abundance of resources, including the potential number of species, presence of important habitats and protected areas, and proximity to particular features or habitats, indicates the potential sensitivity of the natural landscape to land use, especially transportation networks. The source data, derived indices, and the methods for processing these data are described in this final report. The datasets referenced in the report are available from the U.S. Geological Survey (https://www.sciencebase.gov/catalog/ and https://doi.org/10.5066/F7MW2F8W) or the Central Federal Lands Highway Division of the Office of Federal Lands Highway (https://flh.fhwa.dot.gov).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185039","collaboration":"Prepared in cooperation with the Office of Federal Lands Highway, Central Federal Lands Highway Division","usgsCitation":"Manier, D.J., and O’Donnell, M., 2018, Compilation and assessment of resource values and hazards to inform transportation planning and associated land-use planning: U.S. Geological Survey Scientific Investigations Report 2018–5039, 53 p., https://doi.org/10.3133/sir20185039.","productDescription":"Report: ix, 53 p.; Data release","onlineOnly":"Y","ipdsId":"IP-074504","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437718,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MW2F8W","text":"USGS data release","linkHelpText":"Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use 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\"}}]}\n\n\n","contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
How individual species and entire ecosystems will respond to future climate change are among the most pressing questions facing ecologists. Past biodiversity dynamics recorded in the paleoecological archives show a broad array of responses, yet significant knowledge gaps remain. In particular, the relative roles of evolutionary adaptation, phenotypic plasticity, and dispersal in promoting survival during times of climate change have yet to be clarified. Investigating the paleo-archives offers great opportunities to understand biodiversity responses to future climate change. In this review we discuss the mechanisms by which biodiversity responds to environmental change, and identify gaps of knowledge on the role of range shifts and tolerance. We also outline approaches at the intersection of paleoecology, genomics, experiments, and predictive models that will elucidate the processes by which species have survived past climatic changes and enhance predictions of future changes in biological diversity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2018.07.005","usgsCitation":"Nogues-Bravo, D., Rodriguez-Sanchez, F., Orsini, L., de Boer, E., Jansson, R., Morlon, H., Fordham, D.A., and Jackson, S., 2018, Cracking the code of biodiversity responses to past climate change: Trends in Ecology and Evolution, v. 33, no. 10, p. 765-776, https://doi.org/10.1016/j.tree.2018.07.005.","productDescription":"12 p.","startPage":"765","endPage":"776","ipdsId":"IP-094634","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":468321,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-02408166","text":"External Repository"},{"id":358385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91ee4b034bf6a7e4ffa","contributors":{"authors":[{"text":"Nogues-Bravo, David","contributorId":209649,"corporation":false,"usgs":false,"family":"Nogues-Bravo","given":"David","email":"","affiliations":[{"id":12672,"text":"University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":748511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez-Sanchez, Francisco","contributorId":209650,"corporation":false,"usgs":false,"family":"Rodriguez-Sanchez","given":"Francisco","email":"","affiliations":[{"id":37951,"text":"Estación Biológica de Doñana","active":true,"usgs":false}],"preferred":false,"id":748512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orsini, Luisa","contributorId":209651,"corporation":false,"usgs":false,"family":"Orsini","given":"Luisa","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":748513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Boer, Erik","contributorId":209652,"corporation":false,"usgs":false,"family":"de Boer","given":"Erik","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":748514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jansson, Roland","contributorId":209653,"corporation":false,"usgs":false,"family":"Jansson","given":"Roland","email":"","affiliations":[{"id":37952,"text":"Umeå University","active":true,"usgs":false}],"preferred":false,"id":748515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morlon, Helene","contributorId":209654,"corporation":false,"usgs":false,"family":"Morlon","given":"Helene","email":"","affiliations":[{"id":37952,"text":"Umeå University","active":true,"usgs":false}],"preferred":false,"id":748516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fordham, Damien A.","contributorId":209655,"corporation":false,"usgs":false,"family":"Fordham","given":"Damien","email":"","middleInitial":"A.","affiliations":[{"id":37953,"text":"The University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":748517,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, Stephen T. 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":209648,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748510,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70199174,"text":"ofr20181147 - 2018 - Groundwater-level, groundwater-temperature, and barometric-pressure data, July 2017 to February 2018, Hālawa Area, Oʻahu, Hawaiʻi","interactions":[],"lastModifiedDate":"2018-10-16T16:57:37","indexId":"ofr20181147","displayToPublicDate":"2018-10-15T12:39:25","publicationYear":"2018","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":"2018-1147","title":"Groundwater-level, groundwater-temperature, and barometric-pressure data, July 2017 to February 2018, Hālawa Area, Oʻahu, Hawaiʻi","docAbstract":"The Red Hill Bulk Fuel Storage Facility, operated by the U.S. Navy and located in the Hālawa area, Oʻahu, Hawaiʻi, includes 20 underground storage tanks that can hold a total of 250 million gallons of fuel. In January 2014, the U.S. Navy notified the Hawaiʻi Department of Health and U.S. Environmental Protection Agency of release of an estimated 27,000 gallons of fuel from the Red Hill Bulk Fuel Storage Facility. In response to past and potential future fuel releases, data are needed to evaluate groundwater flow in the surrounding area. During July 2017–February 2018, the U.S. Geological Survey collected groundwater-level data at 24 sites near the Red Hill Bulk Fuel Storage Facility. At 14 of the 24 sites, groundwater-temperature data were also collected, and at 6 of the 24 sites, barometric-pressure data were collected. During the data-collection period, a regional aquifer test was conducted in coordination with the operators of three production wells in the area. The recorded water-level changes in response to planned withdrawal changes during December 2017–February 2018 can be used to improve understanding of the groundwater-flow system. The scope of this report is limited to a non-interpretive presentation of the data and a brief discussion of the factors affecting the water-level data.
Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
In 2017, the U.S. Geological Survey (USGS), in cooperation with the Colorado Water Conservation Board (CWCB), studied floods in the historic record to produce a library of flood-inundation maps for the South Platte River at Fort Morgan, Colorado. Digital flood-inundation maps for a 4.5-mile (7.2-kilometers) reach of the South Platte River at Fort Morgan from Morgan County Road 16 to Morgan County Road 20.5, were created. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey streamgage on the South Platte River at Fort Morgan (streamgage number 06759500).
Water-surface profiles were computed for the stream reach by means of a one-dimensional, step-backwater model. The September 15, 2013, and May 20, 2017, floods were used to calibrate the model, and the June 15, 2015, and May 29, 2017, floods were used to independently validate the model. Nine pressure transducers were deployed to record the stage at nine different locations along the reach and to document the floods of May 20 and 29, 2017, at the South Platte River at Fort Morgan streamgage.
The hydraulic model was then used to compute 16 water-surface profiles for flood stages at 1-foot (ft; 0.3-meter [m]) intervals referenced to the streamgage datum and ranging from 12 ft (3.66 m) or below bankfull to 27 ft (8.23 m), which is 1 ft (0.3 m) greater than the highest recorded water level (25.73 ft [7.84 m] on September 15, 2013) at the South Platte River at Fort Morgan streamgage during its period of record; the 2013 flood exceeds the major flood stage of 21.5 ft (6.55 m) by more than 4 ft (1.2 m), as defined by the National Weather Service.
The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.37-ft [0.11-m] vertical accuracy and 3.28-ft [1.00-m] horizontal resolution) to delineate the area flooded for stages ranging from 12 to 27 ft (3.66 to 8.23 m).
These flood-inundation maps, in conjunction with the real-time stage data from the USGS streamgage on the South Platte River at Fort Morgan, are intended to help guide the general public in taking individual safety precautions and provide emergency management personnel with a tool to efficiently manage emergency flood operations and post flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185114","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Kohn, M.S., and Patton, T.T., 2018, Flood-inundation maps for the South Platte River at Fort Morgan, Colorado, 2018: U.S. Geological Survey Scientific Investigations Report 2018–5114, 14 p., https://doi.org/10.3133/sir20185114.","productDescription":"Report: vi, 14 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-097350","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":358286,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YA4STZ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the South Platte River at Fort Morgan, Colorado, 2018"},{"id":358285,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9PN1","text":"USGS data release","description":"USGS data release","linkHelpText":"Cross-Section Data and Pressure Transducer Location of the South Platte River near Fort Morgan, Colorado, 2017"},{"id":358279,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5114/sir20185114.pdf","text":"Report","size":"11.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5114"},{"id":358287,"rank":5,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/osw/flood_inundation/","text":"Flood Inundation Mapper —","linkHelpText":"USGS Flood Inundation Mapping (FIM) Program"},{"id":358278,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5114/coverthb.jpg"}],"country":"United States","state":"Colorado","city":"Fort Morgan","otherGeospatial":"South Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.851040005684,\n 40.244026096225\n ],\n [\n -103.760746121407,\n 40.244026096225\n ],\n [\n -103.760746121407,\n 40.2918348221745\n ],\n [\n -103.851040005684,\n 40.2918348221745\n ],\n [\n -103.851040005684,\n 40.244026096225\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225
Several of the impact craters on Ceres have sets of fractures on their floors. These fractures appear similar to those found within a class of lunar craters referred to as floor-fractured craters (FFCs). We have cataloged the Ceres FFCs according to the classification scheme designed for the Moon. An analysis of the depth to diameter ratio for Ceres craters shows that, like lunar FFCs, the Ceres FFCs are anomalously shallow. Large (>50 km) Ceres FFCs are most consistent with Class 1 lunar FFCs, while smaller craters on Ceres are more consistent with Class 4 lunar FFCs. This suggests that Ceres FFCs may similarly be undergoing fracturing due to the intrusion of a low-density material below the craters. While on the Moon (and Mars) the intrusive material is hypothesized to be silicate magma, cryomagmatic intrusions are more likely responsible for the formation of the Ceres FFCs. However, new models suggest that at least some of the FFC fractures may have formed due to the solid-state flow of a low-viscosity and low-density material into the crater wall.
The 29 June 1925 Santa Barbara earthquake is among the largest 20th century earthquakes in southern California. The earthquake also predated the installation of strong motion and local monitoring instruments in southern California; some instrumental data are, however, available from long-period instruments at regional and teleseismic distances. The current catalog moment magnitude is MW 6.8. Initial intensity magnitudes (MI) estimated from original Coast and Geodetic Survey intensity assignments were lower (MI 6.3). In this study we assign modified Mercalli intensity values at 239 locations, including 144 specific locations within the city of Santa Barbara for which detailed damage information is available. Comparing the reinterpreted intensities with Did You Feel it? intensities for recent events in California, we estimate MW = 6.5, with a plausible range of 6.3–6.6. We further consider reported instrumental amplitudes to estimate an instrumental moment magnitude of MW = 6.6 ± 0.5. Our preferred final estimate is MW 6.5. Based on available constraints including aftershock locations inferred from data recorded on portable instruments, we propose that the earthquake nucleated east of the city of Santa Barbara, closer to the coast than previously estimated, and ruptured unilaterally ~30 km to the west, possibly along the south-dipping Mesa-Rincon Creek, and the More Ranch fault systems. Contrary to suggestions made in earlier studies (e.g. Willis, 1925a), relatively high intensities ~50 km west of Santa Barbara can then be explained by directivity rather than involvement of the Santa Ynez fault. Finally, we discuss the possibility that the earthquake was triggered by the larger MW = 6.6 Clarkston, Montana earthquake the previous day or induced by oil production in the Summerland oil field.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2018.09.012","usgsCitation":"Hough, S.E., and Martin, S.S., 2018, A proposed rupture scenario for the 1925 Mw 6.5 Santa Barbara, California, earthquake: Tectonophysics, v. 747-748, p. 211-224, https://doi.org/10.1016/j.tecto.2018.09.012.","productDescription":"14 p.","startPage":"211","endPage":"224","ipdsId":"IP-096386","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Barabara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.9,\n 34.65\n ],\n [\n -119.9,\n 34.25\n ],\n [\n -119.45,\n 34.25\n ],\n [\n -119.45,\n 34.65\n ],\n [\n -119.9,\n 34.65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"747-748","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Stacey S.","contributorId":140021,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":927597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200337,"text":"70200337 - 2018 - Trends in nonindigenous aquatic species richness in the United States reveal shifting spatial and temporal patterns of species introductions","interactions":[],"lastModifiedDate":"2018-10-12T14:14:47","indexId":"70200337","displayToPublicDate":"2018-10-12T14:14:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Trends in nonindigenous aquatic species richness in the United States reveal shifting spatial and temporal patterns of species introductions","docAbstract":"Understanding the spatial and temporal dynamics underlying the introduction and spread of nonindigenous aquatic species (NAS) can provide important insights into the historical drivers of biological invasions and aid in forecasting future patterns of nonindigenous species arrival and spread. Increasingly, public databases of species observation records are being used to quantify changes in NAS distributions across space and time, and are becoming an important resource for researchers, managers, and policy-makers. Here we use publicly available data to describe trends in NAS introduction and spread across the conterminous United States over more than two centuries of observation records. Available data on first records of NAS reveal significant shifts in dominance of particular introduction patterns over time, both in terms of recipient regions and likely sources. These spatiotemporal trends at the continental scale may be subject to biases associated with regional variation in sampling effort, reporting, and data curation. We therefore also examined two additional metrics, the number of individual records and the spatial coverage of those records, which are likely to be more closely associated with sampling effort. Our results suggest that broad-scale patterns may mask considerable variation across regions, time periods, and even entities contributing to NAS sampling. In some cases, observed temporal shifts in species discovery may be influenced by dramatic fluctuations in the number and spatial extent of individual observations, reflecting the possibility that shifts in sampling effort may obscure underlying rates of NAS introduction.
","language":"English","publisher":"REABIC","doi":"10.3391/ai.2018.13.3.02","usgsCitation":"Mangiante, M.J., Davis, A.J., Panlasigui, S., Neilson, M.E., Pfingsten, I., Fuller, P., and Darling, J.A., 2018, Trends in nonindigenous aquatic species richness in the United States reveal shifting spatial and temporal patterns of species introductions: Aquatic Invasions, v. 13, no. 3, p. 323-338, https://doi.org/10.3391/ai.2018.13.3.02.","productDescription":"16 p.","startPage":"323","endPage":"338","ipdsId":"IP-091735","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468323,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3391/ai.2018.13.3.02","text":"External Repository"},{"id":358348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Similar to many other available models, volumetric analysis was utilized to estimate the initial CO2injection and storage capacity of these SAUs based on aquifer characteristics and buoyant and residual trapping. The factor being almost always overlooked in most CO2 storage capacity models is that many of the evaluated SAUs contain large numbers of both conventional and unconventional discovered and undiscovered oil and gas reservoirs. The hydrocarbon production and pressure distribution of the resident oil and gas reservoirs may be negatively influenced by the propagated CO2 plume and pressure front resulting from a CO2 injection and storage operation in the surrounding SAU.
To have a more realistic and accurate estimation of CO2 injection and storage capacity in saline formations, a model was previously developed that considers the CO2 injectivity of a given formation, underground pressure build-up limitations imposed by the rock fracturing pressure and the presence of hydrocarbon reservoirs within these aquifers. The developed method estimates the pre–brine extraction, pressure-limited CO2 injection and storage capacity of a saline formation by applying 3D numerical simulation only on the effective injection area (Aeff) surrounding each CO2 injection well utilizing TOUGH2-ECO2N simulation software.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2018.09.011","usgsCitation":"Jahediesfanjani, H., Warwick, P., and Anderson, S.T., 2018, Estimating the pressure-limited CO2 injection and storage capacity of the United States saline formations: Effect of the presence of hydrocarbon reservoirs: International Journal of Greenhouse Gas Control, v. 79, p. 14-24, https://doi.org/10.1016/j.ijggc.2018.09.011.","productDescription":"11 p.","startPage":"14","endPage":"24","ipdsId":"IP-093110","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2018.09.011","text":"Publisher Index Page"},{"id":358344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Sligo and Hosston Formations","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.82177734375,\n 26.941659545381516\n ],\n [\n -86.220703125,\n 26.941659545381516\n ],\n [\n -86.220703125,\n 34.52466147177172\n ],\n [\n -99.82177734375,\n 34.52466147177172\n ],\n [\n -99.82177734375,\n 26.941659545381516\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a920e4b034bf6a7e500b","contributors":{"authors":[{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":748291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":207248,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":748290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":748292,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200124,"text":"70200124 - 2018 - Variability of organic carbon content and the retention and release of trichloroethene in the rock matrix of a mudstone aquifer","interactions":[],"lastModifiedDate":"2018-10-12T13:56:40","indexId":"70200124","displayToPublicDate":"2018-10-12T13:56:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Variability of organic carbon content and the retention and release of trichloroethene in the rock matrix of a mudstone aquifer","docAbstract":"Contaminants diffusing from fractures into the immobile porosity of the rock matrix are subject to prolonged residence times. Organic contaminants can adsorb onto organic carbonaceous materials in the matrix extending contaminant retention. An investigation of spatial variability of the fraction of organic carbon (foc) is conducted on samples of rock core from seven closely spaced boreholes in a mudstone aquifer contaminated with trichloroethene (TCE). A total of 378 samples were analyzed at depths between 14 and 36 m below land surface. Mudstone units associated with deep water deposition have the largest foc, with a maximum value of 0.0396, and units associated with shallow water deposition have the smallest foc. Even though foc correlates with depositional conditions, foc still varies over more than an order of magnitude in continuous mudstone layers between boreholes, and there is large variability in foc over short distances perpendicular to bedding. Simulations of diffusion and linear equilibrium adsorption of TCE using spatially variable foc in the rock matrix show order of magnitude variability in the adsorbed TCE over short distances in the matrix and residence times extending to hundreds of years following remediation in adjacent fractures. Simulations using average values of foc do not capture the range of TCE mass that can be retained in a rock matrix characterized by spatially variable foc. Bounds on TCE mass within the rock matrix can be obtained by simulations with spatially uniform values of focequal to the maximum and minimum values of foc for a given mudstone unit.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2018.09.001","usgsCitation":"Shapiro, A.M., and Brenneis, R.J., 2018, Variability of organic carbon content and the retention and release of trichloroethene in the rock matrix of a mudstone aquifer: Journal of Contaminant Hydrology, v. 217, p. 32-42, https://doi.org/10.1016/j.jconhyd.2018.09.001.","productDescription":"11 p.","startPage":"32","endPage":"42","ipdsId":"IP-097448","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468325,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2018.09.001","text":"Publisher Index Page"},{"id":437719,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75719Z7","text":"USGS data release","linkHelpText":"Organic and total carbon analyses of rock core collected from boreholes 83BR, 84BR, 85BR, 86BR, 87BR, 88BR, and 89BR in the mudstone underlying the former Naval Air Warfare Center, West Trenton, New Jersey"},{"id":358343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.81951236724854,\n 40.26534772331598\n ],\n [\n -74.80661630630493,\n 40.26534772331598\n ],\n [\n -74.80661630630493,\n 40.27682455737567\n ],\n [\n -74.81951236724854,\n 40.27682455737567\n ],\n [\n -74.81951236724854,\n 40.26534772331598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"217","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a920e4b034bf6a7e500e","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":748286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenneis, Rebecca J.","contributorId":209022,"corporation":false,"usgs":false,"family":"Brenneis","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":748287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170192,"text":"pp1824T - 2018 - Geology and assessment of undiscovered oil and gas resources of the Lena-Anabar Basin Province, 2008","interactions":[{"subject":{"id":70170192,"text":"pp1824T - 2018 - Geology and assessment of undiscovered oil and gas resources of the Lena-Anabar Basin Province, 2008","indexId":"pp1824T","publicationYear":"2018","noYear":false,"chapter":"T","title":"Geology and assessment of undiscovered oil and gas resources of the Lena-Anabar Basin Province, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:05:31.865511","indexId":"pp1824T","displayToPublicDate":"2018-10-12T13:29:17","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"T","title":"Geology and assessment of undiscovered oil and gas resources of the Lena-Anabar Basin Province, 2008","docAbstract":"The U.S. Geological Survey (USGS) assessed the potential for undiscovered oil and gas resources of the Lena-Anabar Basin Province as part of its Circum-Arctic Resource Appraisal program. The province is in the Russian High Arctic and is located between the Laptev Sea and the Siberian craton. Three assessment units (AUs) were defined for this study—the Lena-Anabar Basin AU, the Lena-Anabar Basin Updip AU, and the Sukhan-Motorchun Riphean Rift AU—and were assessed for undiscovered, technically recoverable resources. The estimated mean volumes of undiscovered oil and gas resources for the Lena-Anabar Basin Province are ~2 billion barrels of crude oil, ~2 trillion cubic feet of natural gas, and <1 billion barrels of natural gas liquids. All of the undiscovered petroleum resources are north of the Arctic Circle.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824T","usgsCitation":"Klett, T.R., and Pitman, J.K., 2018, Geology and assessment of undiscovered oil and gas resources of the Lena-Anabar Basin Province, 2008, chap. T of Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 19 p., https://doi.org/10.3133/pp1824T.","productDescription":"Report: vii, 19 p.; 3 Appendixes","numberOfPages":"30","ipdsId":"IP-050990","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":358328,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/t/pp1824t_appendix3.xls","text":"Appendix 3","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Professional Paper 1824-T Appendix 3","linkHelpText":"- Input data for Sukhan-Motorchun Riphean Rift Assessment Unit"},{"id":358326,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/t/pp1824t_appendix1.xls","text":"Appendix 1","size":"65 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Professional Paper 1824-T Appendix 1","linkHelpText":"- Input Data for the Lena-Anabar Basin Assessment Unit"},{"id":358327,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/t/pp1824t_appendix2.xls","text":"Appendix 2","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Professional Paper 1824-T Appendix 2","linkHelpText":"- Input Data for the Lena-Anabar Basin Updip Assessment Unit"},{"id":358325,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/t/pp1824t.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1824-T"},{"id":358324,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/t/coverthb.jpg"}],"country":"Russia","otherGeospatial":"Lena-Anabar Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 111.62109375,\n 67\n ],\n [\n 128,\n 67\n ],\n [\n 128,\n 75\n ],\n [\n 111.62109375,\n 75\n ],\n [\n 111.62109375,\n 67\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
FAX 650-329-4936