The geologic map and accompanying report describes the extent, complexity, architecture, and evolution of the Bartlett Springs Fault Zone between Clear Lake and Round Valley, California. This fault zone is the eastern-most known active member of the San Andreas transform margin in northern California. It is of particular interest for its apparent long-lived history as a Miocene and older subduction-margin fault that, more recently, was reactivated as an active, creeping member of the San Andreas Fault system. The northern part of the Bartlett Springs Fault Zone is apparently still influenced by subduction of the Gorda Plate beneath North America, but it also accommodates strike-slip displacement associated with interaction of the Pacific Plate with North America. South of the map area, the Bartlett Springs Fault Zone steps into and merges with active faults of the eastern San Francisco Bay region; to the north of the map area and Round Valley, the fault zone steps into several other fault zones that connect with offshore thrust faults of the Cascadia subduction margin. Adequate understanding of the geologic framework of this fault zone and its relation to crustal structure of the adjacent region is important for purposes of planning and upgrading hydro-electric and other infrastructure in northern California that is directly or indirectly impacted by active faulting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3395","collaboration":"Prepared in Cooperation with Pacific Gas and Electric Company","usgsCitation":"McLaughlin, R.J., Moring, B.C., Hitchcock, C.S., and Valin, Z.C., 2018, Framework geologic map and structure sections along the Bartlett Springs fault zone and adjacent area from Round Valley to Wilbur Springs, northern Coast Ranges, California (ver. 1.1, September 2018): U.S. Geological Survey Scientific Investigations Map 3395, 60 p., https://doi.org/10.3133/sim3395.","productDescription":"Pamphlet: iv, 60 p.; 2 Sheets: 39.22 x 46.34 inches and 42.00 x 54.69 inches; Databases; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080509","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399115,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_107702.htm","linkFileType":{"id":5,"text":"html"}},{"id":356586,"rank":9,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_arcfiles","text":"Database Folder"},{"id":356583,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3395/metadata","text":"Metadata Folder"},{"id":356582,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_v1.1_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3395"},{"id":356581,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_arcfiles.zip","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3395"},{"id":356579,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_sheet1_v1.1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3395"},{"id":356578,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3395/coverthb.jpg"},{"id":356357,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_readme_BSFZ.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3395 Read me"},{"id":358183,"rank":1,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3395/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":356580,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3395/sim3395_sheet2_v1.1.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3395"}],"scale":"100000","country":"United States","state":"California","otherGeospatial":"Bartlett Springs fault zone, northern Coast Ranges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.375,\n 38.875\n ],\n [\n -122.25,\n 38.875\n ],\n [\n -122.25,\n 39.75\n ],\n [\n -123.375,\n 39.75\n ],\n [\n -123.375,\n 38.875\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: August 2018; Version 1.1: October 2018","contact":"Director,
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Bovine tuberculosis (bTB) is an infectious, zoonotic disease caused by Mycobacterium bovis that can spread between domestic and wild animals, as well as to humans. The disease is characterized by the progressive development of lesions that compromise the victim's lungs and lymph system. The disease was first identified in northwest Minnesota in both cattle and white-tailed deer (Odocoileus virginianus) in 2005. Due to its risks to human and animal health, bTB has numerous implications related to population management, policy outcomes, stakeholder relations, and economic impacts. When dealing with complicated risks, like bTB, individuals often seek out and process information as a method to learn about, and cope, with the risk. We developed a questionnaire that adapted components of the Risk Information Seeking and Processing (RISP) model and surveyed northwest Minnesota deer hunters. Our objectives were to better understand how stakeholders perceive and act on information regarding disease management in wildlife and to understand the utility of the RISP model for such management contexts. We drew a random proportional sample of licensed deer hunters (n = 2100) from the area affected by bTB and conducted a multi-contact mail survey. We found that 43% of the variability in the information-seeking behaviors of respondents was explained by demographics, hunting importance, personal risk perceptions, attitudes, and subjective norms. However, these results are largely attributable to the factors in the RISP model encompassed by components of the Theory of Planned Behavior (i.e., attitudes, subjective norms, perceived behavioral control, and behavioral intentions). This information can help managers contextualize individuals' perceived risks to better frame communication efforts to address stakeholder concerns and develop best practices for disease communication. While the state of Minnesota is currently considered free of bTB, future outbreaks remain possible in Minnesota and elsewhere. Understanding the key factors in the processes through which deer hunters seek out information pertaining to the disease can help managers collect the data necessary to aid decisions about desired future management outcomes. In addition, testing RISP model performance in applied research improves its future use across a broad spectrum of topics throughout veterinary disease management.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fvets.2018.00190","usgsCitation":"Cross, M., Heeren, A., Cornicelli, L., and Fulton, D.C., 2018, Bovine tuberculosis management in northwest Minnesota and implications of the Risk Information Seeking and Processing (RISP) model for wildlife disease management: Frontiers in Veterinary Science, v. 5, p. 1-11, https://doi.org/10.3389/fvets.2018.00190.","productDescription":"190, 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-098214","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fvets.2018.00190","text":"Publisher Index Page"},{"id":395696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"5","noUsgsAuthors":false,"publicationDate":"2018-08-17","publicationStatus":"PW","contributors":{"editors":[{"text":"O’Brien, Daniel J.","contributorId":275415,"corporation":false,"usgs":false,"family":"O’Brien","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":834074,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Cross, Megan","contributorId":275238,"corporation":false,"usgs":false,"family":"Cross","given":"Megan","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heeren, Alex","contributorId":275239,"corporation":false,"usgs":false,"family":"Heeren","given":"Alex","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":833865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornicelli, Louis","contributorId":272132,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":833866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201313,"text":"70201313 - 2018 - Potential toxicity of dissolved metal mixtures (Cd, Cu, Pb, Zn) to early life stage white sturgeon (Acipenser transmontanus) in the Upper Columbia River, Washington, United States","interactions":[],"lastModifiedDate":"2018-12-11T11:25:53","indexId":"70201313","displayToPublicDate":"2018-08-17T11:25:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential toxicity of dissolved metal mixtures (Cd, Cu, Pb, Zn) to early life stage white sturgeon (Acipenser transmontanus) in the Upper Columbia River, Washington, United States","title":"Potential toxicity of dissolved metal mixtures (Cd, Cu, Pb, Zn) to early life stage white sturgeon (Acipenser transmontanus) in the Upper Columbia River, Washington, United States","docAbstract":"The Upper Columbia River (UCR) received historical releases of smelter waste resulting in elevated metal concentrations in downstream sediments. Newly hatched white sturgeon hide within the rocky substrate at the sediment–water interface in the UCR for a few weeks before swim-up. Hiding behavior could expose them to metal contaminants, and metal toxicity could contribute to population declines in white sturgeon over the past 50 years. This study evaluates whether there is a link between the toxicity of dissolved metals across the sediment-water interface in the UCR and the survival of early life stage (ELS) white sturgeon. Toxicity of dissolved metal mixtures is evaluated using a combination of previously collected laboratory and field data and recently developed metal mixture toxicity models. The laboratory data consist of individual metal (Cd, Cu, Pb, and Zn) toxicity studies with ELS white sturgeon. The field data include the chemical composition of surface and pore water samples that were collected across the sediment–water interface in the UCR. These data are used in three metal accumulation and two response models. All models predict low toxicity in surface water, whereas effects concentrations greater than 20% are predicted for 60–72% of shallow pore water samples. The flux of dissolved metals, particularly Cu, from shallow pore water to surface water likely exposes prime ELS sturgeon habitat to toxic conditions.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b02261","usgsCitation":"Balistrieri, L.S., Mebane, C.A., Cox, S.E., Puglis, H.J., Calfee, R.D., and Wang, N., 2018, Potential toxicity of dissolved metal mixtures (Cd, Cu, Pb, Zn) to early life stage white sturgeon (Acipenser transmontanus) in the Upper Columbia River, Washington, United States: Environmental Science & Technology, v. 52, no. 17, p. 9793-9800, https://doi.org/10.1021/acs.est.8b02261.","productDescription":"8 p.","startPage":"9793","endPage":"9800","ipdsId":"IP-097594","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Upper Columbia River","volume":"52","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-17","publicationStatus":"PW","scienceBaseUri":"5c10a963e4b034bf6a7e5195","contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":753580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753585,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198675,"text":"ofr20181132 - 2018 - Bedrock mapping and seismic hazard assessment at Gold Basin landslide, Washington","interactions":[],"lastModifiedDate":"2018-08-27T10:20:34","indexId":"ofr20181132","displayToPublicDate":"2018-08-17T11:06:59","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":"2018-1132","title":"Bedrock mapping and seismic hazard assessment at Gold Basin landslide, Washington","docAbstract":"The Gold Basin landslide is located along the South Fork Stillaguamish River, within the Mount Baker-Snoqualmie National Forest in western Washington State. Recent concerns related to slope stability after the 2014 State Route 530 Landslide near Oso, Washington, forced the closure of the U.S. Forest Service Gold Basin Campground in May of 2014. In addition to safety concerns for National Forest visitors, the landslide-derived sediment pulses shed into the South Fork Stillaguamish River may harm migrant salmon spawning grounds, an important resource for the Stillaguamish Tribe of Indians and for public anglers.
The Gold Basin landslide is composed of three active lobes and has an approximate footprint of 566,560 m2. Each lobe consists of steep topographic escarpments contained largely within Pleistocene glacial outwash sediments and debris flow and earth flow deposits at the base. In addition to landslides confined within the Pleistocene glacial strata, bedrock landslides are also apparent on lidar imagery of the study area. Bedrock landslides may pose additional hazard to the area, either during stochastic hillslope failure or during strong ground motion events. Potential seismic sources include the proximal Darrington-Devils Mountain and southern Whidbey Island fault zones, as well as the offshore Cascadia Subduction Zone. Previous analyses of hillslope stability in the Cascade Range suggests that rock mass strength is a useful way of characterizing bedrock and fracture patterns in order to understand potential landslide-prone landscape.
The goals of this investigation are to assess the glacial strata and bedrock geology of the Gold Basin landslide and adjacent areas and to assess how the geology and geomorphology within the study area affect the likelihood of coseismic landsliding.
Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
A myxozoan parasite, Myxobolus inornatus, is one disease agent identified in young of the year (YOY) smallmouth bass in the Susquehanna River Basin, Pennsylvania. We investigated spatial and temporal variability in M. Inornatus prevalence across the Susquehanna River Basin and at several out-of-basin sites. We examined potential land use drivers of M. Inornatus prevalence including agricultural and developed land use. In 1,267 YOY smallmouth bass collected from 32 sites during 2013–2016, M. Inornatus was documented in 43.6% of samples. Among-site variability in parasite prevalence was greater than among-year variability. The effect of agricultural land use on M. Inornatus prevalence had a high probability of being positively correlated at multiple spatial scales (probability of positive effect > 0.80). The effect of developed land use on M. Inornatus prevalence had a relatively high probability of being negatively correlated at multiple spatial scales (probability of negative effect > 0.70). Our results suggest that land use practices could be related to M. Inornatus infection of smallmouth bass. Further study will be necessary to determine whether disease dynamics are a consequence of effects on the host, alterations of instream habitat mediating invertebrate host dynamics and/or survival and dispersal of the parasite infective stage.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12878","usgsCitation":"Schall, M.K., Blazer, V., Walsh, H., Smith, G.D., Wertz, T., and Wagner, T., 2018, Spatial and temporal variability of myxozoan parasite, Myxobolus inornatus, prevalence in young of the year smallmouth bass in the Susquehanna River Basin, Pennsylvania: Journal of Fish Diseases, v. 41, no. 11, p. 1689-1700, https://doi.org/10.1111/jfd.12878.","productDescription":"12 p.","startPage":"1689","endPage":"1700","ipdsId":"IP-096825","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2393798828125,\n 39.73676229957947\n ],\n [\n -74.7894287109375,\n 39.73676229957947\n ],\n [\n -74.7894287109375,\n 41.88592102814744\n ],\n [\n -77.2393798828125,\n 41.88592102814744\n ],\n [\n -77.2393798828125,\n 39.73676229957947\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"11","noUsgsAuthors":false,"publicationDate":"2018-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schall, Megan K.","contributorId":274359,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":832935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L.","contributorId":274360,"corporation":false,"usgs":false,"family":"Walsh","given":"Heather L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Geoffrey D.","contributorId":274361,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey","email":"","middleInitial":"D.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":832939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wertz, Timothy","contributorId":274363,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","affiliations":[{"id":56607,"text":"Pennsylvania Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":832940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832936,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199141,"text":"70199141 - 2018 - Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species","interactions":[],"lastModifiedDate":"2018-09-07T16:14:50","indexId":"70199141","displayToPublicDate":"2018-08-16T16:14:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species","docAbstract":"Survival is a key vital rate for projecting the viability of wild populations. Estimating survival is difficult for many rare or elusive species because recapture rates of marked individuals are low, and the ultimate fate of individuals is unknown. Low recapture rates for many species have made it difficult to accurately estimate survival, and to evaluate the importance of individual and environmental covariates for survival. Individual covariates such as size are particularly difficult to include in capture–mark–recapture models for elusive species because the state of the individual is unknown during periods when it is not captured. Here, we integrate a von Bertalanffy growth model with a multi‐state robust‐design Cormack‐Jolly‐Seber model to test for a relationship between body size and survival in the elusive, threatened giant gartersnake, Thamnophis gigas. We take a Bayesian approach to model the size of an individual during periods when it was not captured and measured, which fully propagates uncertainty in this unobserved covariate. We found strong support for a positive relationship between snake size and annual survival, with survival increasing with size up to a peak for adult snakes, after which survival either declines slightly or plateaus for the largest individuals. Few captures of very small and very large individuals led to high uncertainty in the survival rates of these sizes. Survival of giant gartersnakes was also positively related to the amount of precipitation and the cover of emergent and floating vegetation at a site. To our knowledge, our study is the first to estimate a size–survival relationship in a snake while fully accounting for uncertainty in the size of unobserved individuals. Our results have implications for the management of this threatened species and illustrate the utility of integrating hierarchical Bayesian models to the study of survival in elusive species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2384","usgsCitation":"Rose, J.P., Wylie, G., Casazza, M.L., and Halstead, B., 2018, Integrating growth and capture–mark–recapture models reveals size‐dependent survival in an elusive species: Ecosphere, v. 9, no. 8, p. 1-18, https://doi.org/10.1002/ecs2.2384.","productDescription":"Article e02384; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-100064","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2384","text":"Publisher Index Page"},{"id":357135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1667,\n 38.5\n ],\n [\n -121.5,\n 38.5\n ],\n [\n -121.5,\n 39.1667\n ],\n [\n -122.1667,\n 39.1667\n ],\n [\n -122.1667,\n 38.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","scienceBaseUri":"5b98a283e4b0702d0e842f1b","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Glenn D. 0000-0002-7061-6658","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":207594,"corporation":false,"usgs":false,"family":"Wylie","given":"Glenn D.","affiliations":[],"preferred":false,"id":744299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":744297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196768,"text":"cir1442 - 2018 - Multi-Resource Analysis—Methodology and synthesis","interactions":[],"lastModifiedDate":"2018-08-24T14:36:51","indexId":"cir1442","displayToPublicDate":"2018-08-16T15:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1442","title":"Multi-Resource Analysis—Methodology and synthesis","docAbstract":"This document introduces the Multi-Resource Analysis (MRA), a set of products that are being designed to integrate information on multiple natural resources in a region, combine that information with models of resource interrelationships and scenarios of change, and provide meaningful insights on the implications of those changes to people and the resources they value. The MRA builds from and enhances a wide range of existing U.S. Geological Survey assessment products. These enhancements will help natural resource managers better understand the connections among the resources they manage and the changes that might occur due to natural events and human decisions. This knowledge will help them identify solutions to landscape-scale management issues that best meet their objectives. MRA products are developed through a structured process that brings together scientists, decision makers, and other stakeholders to address relevant issues and decisions for a specified geographic region, ensuring that the analysis is directly relevant. This circular introduces the MRA, describes the envisioned process for developing a region-specific MRA, and discusses the various MRA components and products. The MRA process and products are shown through descriptions and examples drawn from two proof-of-concept studies and related work.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1442","isbn":"978-1-4113-4236-1","usgsCitation":"Jenni, K.E., Pindilli, E., Bernknopf, R., Nieman, T.L., and Shapiro, C., 2018, Multi-Resource Analysis—Methodology and synthesis: U.S. Geological Survey Circular 1442, 81 p., https://doi.org/10.3133/cir1442.","productDescription":"v, 81 p.","onlineOnly":"N","ipdsId":"IP-086230","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":356555,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1442/circ1442.pdf","text":"Report","size":"22.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1442"},{"id":356554,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1442/coverthb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.38037109375,\n 42.742978093466434\n ],\n [\n -104.5,\n 42.742978093466434\n ],\n [\n -104.5,\n 45.398449976304086\n ],\n [\n -107.38037109375,\n 45.398449976304086\n ],\n [\n -107.38037109375,\n 42.742978093466434\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Science and Decisions Center
U.S. Geological Survey
913 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
A study conducted by the U.S. Geological Survey, in cooperation with the New Jersey Pinelands Commission and Montclair State University, was designed to compare pesticide concentrations and the presence and prevalence of amphibian pathogens between natural ponds and two types of created wetlands, excavated ponds and stormwater basins, throughout the New Jersey Pinelands. The study described herein is part of a larger study by the New Jersey Pinelands Commission designed to compare the functional equivalency of natural and created wetlands throughout the New Jersey Pinelands. Sites were selected on the basis of land-use classifications within a 500-meter radius around each wetland from a pool of natural ponds, excavated ponds, and stormwater basins determined by the New Jersey Pinelands Commission. Water, bed-sediment, anuran-food, and composite larval-anuran-tissue samples were collected from four reference (minimum land-use effects) and four degraded (maximum land-use effects) sites from each wetland type for a total of 24 ponds or basins throughout the New Jersey Pinelands during 2014–16. Prevalence of Ranavirus was determined on the basis of tail clips collected from 60 individual larval anurans in each wetland, and 10 animals from each wetland also were swabbed for the presence of Batrachochytrium dendrobatidis (Bd). Other constituents measured included turbidity, pH, specific conductance, dissolved oxygen, dissolved organic carbon, percent organic carbon in sediment, and composite larval-anuran lipid content.
The amount of altered land (percent agricultural plus percent developed) ranged from 0 to 62.4 percent for the natural ponds, 0 to 63.6 percent for the excavated ponds, and 23.3 to 80.2 percent for the stormwater basins. The herbicides atrazine and metolachlor were observed in 60 and 89 percent of the water samples, respectively. The insecticide bifenthrin was the most frequently detected current-use pesticide (greater than 25 percent of the samples) in bed-sediment, anuran-food, and composite larval-anuran-tissue samples. The legacy insecticide p,p'-DDT and its primary degradates p,p'-DDD and p,p'-DDE were the most frequently detected compounds in bed-sediment and anuran-food samples (32–76 percent in sediment samples and 24–72 percent in anuran-food samples). Significantly, greater numbers of pesticides and higher total pesticide concentrations were observed in stormwater basins than in natural and excavated ponds. Reference wetlands had fewer pesticides and lower total pesticide concentrations compared to degraded wetlands, indicating a positive relation between percent altered land and pesticides throughout the New Jersey Pinelands. Ranavirus was observed in larvae from 4 wetlands, including 1 reference natural pond, 1 degraded natural pond, and 2 degraded stormwater basins, with prevalence ranging from 3 to 43 percent. Bd was detected in swabs from 18 animals and in 4 natural ponds (1 reference and 3 degraded), 3 excavated ponds (all reference), and 2 stormwater basins (1 reference and 1 degraded); however, detection probability was low. In the wetlands with Bd detections, between 10 and 30 percent (between 1 and 3) of the animal’s swabbed tested positive for Bd. Owing to the limited number of positive detections for both Bd and Ranavirus, no statistical comparisons between wetland types and land-use classifications were possible.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181077","collaboration":"Prepared in cooperation with the New Jersey Pinelands Commission and Montclair State University","usgsCitation":"Smalling, K.L., Bunnell, J.F., Cohl, J., Romanok, K.M., Hazard, L., Monsen, K., Akob, D.M., Hansen, A., Hladik, M.L., Abdallah, N., Ahmed, Q., Assan, A., De Parsia, M., Griggs, A., McWayne-Holmes, M., Patel, N., Sanders, C., Shrestha, Y., Stout, S., and Williams, B., 2018, An initial comparison of pesticides and amphibian pathogens between natural and created wetlands in the New Jersey Pinelands, 2014–16: U.S. Geological Survey Open-File Report 2018–1077, 18 p., https://doi.org/10.3133/ofr20181077.","productDescription":"Report: vii, 18 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-092514","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":355889,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F71G0K6G","text":"USGS data release","description":"USGS data release","linkHelpText":"Current-use pesticides and emerging amphibian pathogens in natural ponds, excavated ponds and stormwater basins from 24 sites varying in land-use classifications throughout the New Jersey Pinelands, 2014–2016"},{"id":437781,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0K6G","text":"USGS data release","linkHelpText":"Current-use pesticides and emerging amphibian pathogens in natural ponds, excavated ponds, and stormwater basins from 24 sites varying in land-use classifications throughout the New Jersey Pinelands, 2014-2016"},{"id":355954,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.state.nj.us/pinelands/science/complete/wetlands/index.shtml","linkHelpText":"- Natural and Created Wetlands Study. Final report submitted to the U.S. Environmental Protection Agency: New Lisbon, N.J., Pinelands Commission"},{"id":355887,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1077/coverthb.jpg"},{"id":355888,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1077/ofr20181077.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1077"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Pinelands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.9339,\n 39.2872\n ],\n [\n -74.24,\n 39.2872\n ],\n [\n -74.24,\n 39.94\n ],\n [\n -74.9339,\n 39.94\n ],\n [\n -74.9339,\n 39.2872\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
The U.S. Geological Survey (USGS), in cooperation with the U.S Fish and Wildlife Service, has investigated the hydrology of the Great Dismal Swamp (Swamp) National Wildlife Refuge (Refuge) in Virginia and North Carolina and developed a three-dimensional numerical model to simulate groundwater and surface-water hydrology. The model was developed with MODFLOW-NWT, a USGS numerical groundwater flow modeling program, in combination with the Surface-Water Routing Process, a software package that simulates dynamic surface-water flows, water control structure management, and groundwater/surface-water interactions.
The steady-state model was calibrated to average spring conditions by using automated parameter estimation software (PEST) to reduce simulation errors and assess model parameter sensitivity. The model was then used to simulate wet and dry climatic conditions and a variety of hypothetical scenarios in which water levels in the Swamp were raised and lowered by simulated management of water control structures. Results of the model simulations indicate that, under average spring conditions, precipitation is the primary water input (92%); surface-water (5%) and groundwater (3%) inflows make up the remainder. The primary outflow (or loss) is evapotranspiration (55%), with surface outflows (about 41%) and groundwater outflow (about 4%) making up the remainder.
Simulated adjustment of water control structure weir levels demonstrates that groundwater levels are affected by water levels in adjacent ditches and that surface-water and groundwater levels can be controlled through management of water control structures, allowing the Refuge to better manage fire risks and preserve forested-wetland ecosystems in the Refuge. The 13 water control structures proposed in the simulated scenario representing possible future conditions effectively raised simulated water levels in the northeastern corner of the study area, a goal of the Refuge management.
Results of this study demonstrate use of MODFLOW with the Surface-Water Routing Process for simulating water management options in peat wetlands and will help Refuge managers to better understand existing hydrologic conditions, assess the hydrologic effects of planned changes to water control structures, and apply the new simulation tool to guide water management on the Refuge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185056","isbn":"978-1-4113-4248-4","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Eggleston J.R., Decker, J.D., Finkelstein, J.S., Wurster, F.C., Misut, P.E., Sturtevant, L.P., and Speiran, G.K., 2018, Hydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina: U.S. Geological Survey Scientific Investigations Report 2018-5056, 67 p., https://doi.org/10.3133/sir20185056.","productDescription":"Report: xi, 67 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-087938","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":356011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5056/coverthb.jpg"},{"id":356012,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5056/sir20185056.pdf","text":"Report","size":"31 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR2018-5056"},{"id":356056,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/P9445ZGC","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT datasets for simulations of groundwater and surface-water in the Great Dismal Swamp of Virginia and North Carolina"}],"country":"United States","state":"North Carolina","county":"Virginia","otherGeospatial":"Great Dismal Swamp","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.57264709472656,\n 36.42791246440695\n ],\n [\n -76.33644104003906,\n 36.42791246440695\n ],\n [\n -76.33644104003906,\n 36.77904237558059\n ],\n [\n -76.57264709472656,\n 36.77904237558059\n ],\n [\n -76.57264709472656,\n 36.42791246440695\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virgina Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
Oil and natural gas (ONG) development can affect aquatic ecosystems through water contamination, water withdrawals and disturbance of soil and vegetation (surface disturbance) from infrastructure development. Research on how these potential sources of watershed and aquatic ecosystem impairment can affect fish assemblages is limited. Fish–habitat relationships were evaluated across stream sites experiencing differing levels of ONG development. Colorado River cutthroat trout, Oncorhynchus clarkii pleuriticus (Cope), and mottled sculpin, Cottus bairdii Girard, presence and abundance were associated with habitat conditions predominantly found in the less disturbed streams, such as higher proportion of shrub cover, greater stream depths and gravel substrate. Mountain sucker, Catostomus platyrhynchus (Cope), appeared to be a habitat generalist and was able to persist in a wide range of conditions, including degraded sites. Natural resource managers can use habitat preferences of these fish species to establish the development plans that mitigate negative effects of ONG development by protecting the aquatic habitats they rely upon.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12303","usgsCitation":"Girard, C., and Walters, A.W., 2018, Evaluating relationships between native fishes and habitat in streams affected by oil and natural gas development: Fisheries Management and Ecology, v. 25, no. 5, p. 366-379, https://doi.org/10.1111/fme.12303.","productDescription":"14 p.","startPage":"366","endPage":"379","ipdsId":"IP-068639","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Wyoming Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.5,\n 42.333\n ],\n [\n -110.25,\n 42.333\n ],\n [\n -110.25,\n 42.5\n ],\n [\n -110.5,\n 42.5\n ],\n [\n -110.5,\n 42.333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Girard, Carlin","contributorId":176838,"corporation":false,"usgs":false,"family":"Girard","given":"Carlin","email":"","affiliations":[],"preferred":false,"id":831786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831700,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198806,"text":"70198806 - 2018 - Modeling the Holocene slip history of the Wasatch fault (Utah): Coseismic and postseismic Coulomb stress changes and implications for paleoseismicity and seismic hazard","interactions":[],"lastModifiedDate":"2019-01-28T09:28:00","indexId":"70198806","displayToPublicDate":"2018-08-15T16:50:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the Holocene slip history of the Wasatch fault (Utah): Coseismic and postseismic Coulomb stress changes and implications for paleoseismicity and seismic hazard","docAbstract":"The Wasatch fault zone defines the eastern boundary of the actively extending Basin and Range Province (Utah, western United States) and poses a significant seismic hazard to the metropolitan areas along the Wasatch Range. A wealth of paleoseismological data documents ∼24 surface-rupturing Mw ≥ 7 earthquakes along the Wasatch fault during the past 6400 yr. Here, we simulated the Holocene earthquake sequence on the Wasatch, Oquirrh−Great Salt Lake, and West Valley faults using three-dimensional finite-element forward modeling with the goal to calculate coseismic and postseismic Coulomb stress changes and to evaluate the slip and magnitude of hypothetical present-day and future earthquakes. Our results show that a good fit between modeled and observed paleoevents and time-integrated slip rates can be achieved within the uncertainties of the paleoseismological record and model parameters like the fault geometry. The Coulomb stress change analysis for selected paleoearthquakes showed that maximum positive stress changes are induced on faults located along strike of the source fault, while faults parallel to the source fault are generally located in stress shadow zones. Postseismic viscoelastic relaxation considerably modifies the coseismic stress changes; the resulting transient stress changes are recognizable for more than 100 yr after an earthquake. The modeled present-day state of Coulomb stress changes shows that the Brigham City, Salt Lake City, and Provo segments of the Wasatch fault are prone to failure in a Mw ≥ 6.8 earthquake. Our study shows that simulation of an entire earthquake sequence based on a paleoseismological record is feasible and facilitates identification of possible gaps and inconsistencies in the paleoseismological record. Therefore, forward modeling of earthquake sequences may ultimately contribute to improved seismic hazard estimates.","language":"English","publisher":"GSA","doi":"10.1130/B31906.1","usgsCitation":"Bagge, M., Hampel andrea, and Gold, R.D., 2018, Modeling the Holocene slip history of the Wasatch fault (Utah): Coseismic and postseismic Coulomb stress changes and implications for paleoseismicity and seismic hazard: GSA Bulletin, v. 131, no. 1-2, p. 43-57, https://doi.org/10.1130/B31906.1.","productDescription":"15 p.","startPage":"43","endPage":"57","ipdsId":"IP-094219","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":356638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.25,\n 40\n ],\n [\n -111.5,\n 40\n ],\n [\n -111.5,\n 41.25\n ],\n [\n -112.25,\n 41.25\n ],\n [\n -112.25,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"1-2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-15","publicationStatus":"PW","scienceBaseUri":"5b98a284e4b0702d0e842f23","contributors":{"authors":[{"text":"Bagge, Meike","contributorId":207170,"corporation":false,"usgs":false,"family":"Bagge","given":"Meike","email":"","affiliations":[{"id":37472,"text":"Institut fur Geolige, Lubniz Universitat Hannover","active":true,"usgs":false}],"preferred":false,"id":742996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hampel andrea","contributorId":207171,"corporation":false,"usgs":false,"family":"Hampel andrea","affiliations":[{"id":37472,"text":"Institut fur Geolige, Lubniz Universitat Hannover","active":true,"usgs":false}],"preferred":false,"id":742997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":742998,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198158,"text":"fs20183040 - 2018 - Assessment of undiscovered continuous oil resources of the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen basins of Mongolia and China, 2018","interactions":[],"lastModifiedDate":"2018-08-24T13:52:47","indexId":"fs20183040","displayToPublicDate":"2018-08-15T14:50:16","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3040","title":"Assessment of undiscovered continuous oil resources of the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen basins of Mongolia and China, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean continuous resources of 1.1 billion barrels of oil and 674 billion cubic feet of associated gas in the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen basins of Mongolia and China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183040","usgsCitation":"Schenk, C.J., Mercier, T.J., Pitman, J.K., Finn, T.M., Woodall, C.A., Marra, K.R., Le, P.A., and Leathers-Miller, H.M., 2018, Assessment of undiscovered continuous oil resources of the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen basins of Mongolia and China, 2018: U.S. Geological Survey Fact Sheet 2018–3040, 2 p., https://doi.org/10.3133/fs20183040.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-096786","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":356413,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183041","text":"Fact Sheet 2018–3041:","linkHelpText":"Assessment of Undiscovered Conventional Oil Resources of the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen Basins of Mongolia and China, 2018"},{"id":356411,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3040/coverthb.jpg"},{"id":356412,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3040/fs20183040.pdf","text":"Report","size":"412 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3040"}],"country":"China, Mongolia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 100,\n 39\n ],\n [\n 121,\n 39\n ],\n [\n 121,\n 51\n ],\n [\n 100,\n 51\n ],\n [\n 100,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 187 million barrels of oil and 85 billion cubic feet of gas in the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen basins of Mongolia and China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183041","usgsCitation":"Schenk, C.J., Mercier, T.J., Pitman, J.K., Finn, T.M., Woodall, C.A., Marra, K.R., Le, P.A., and Leathers-Miller, H.M., 2018, Assessment of undiscovered conventional oil resources of the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen basins of Mongolia and China, 2018: U.S. Geological Survey Fact Sheet 2018–3041, 2 p., https://doi.org/10.3133/fs20183041.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-096501","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":356414,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183040","text":"Fact Sheet 2018–3040:","linkHelpText":"Assessment of Undiscovered Continuous Oil Resources of the East Gobi, Nyalga, Tamtsag-Hailar, Erlian, and Yingen Basins of Mongolia and China, 2018"},{"id":356345,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3041/fs20183041.pdf","text":"Report","size":"924 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3041"},{"id":356344,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3041/coverthb.jpg"}],"country":"China, Mongolia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 100,\n 39\n ],\n [\n 121,\n 39\n ],\n [\n 121,\n 51\n ],\n [\n 100,\n 51\n ],\n [\n 100,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Actinorhizal plants form symbiotic root associations with dinitrogen (N2) fixing Frankia and are abundant in North American cold deserts. However, the extent to which actinorhizal species are actively fixing N2 or altering ecosystem nitrogen (N) availability remains unclear. We used the 15N natural abundance technique to measure how three widespread actinorhizal species in the western Great Basin of western North America acquired N and influenced soil N cycling and the N status of the surrounding non-fixing plant community. We compared foliar and soil N concentrations and δ15N and soil biogeochemistry between reference plots and plots dominated by actinorhizal species. Actinorhizal species may be actively fixing N and influencing the N status of the surrounding ecosystem. Foliar δ15N of actinorhizal shrubs was significantly depleted compared to non-actinorhizal species. Non-actinorhizal plants in the presence of actinorhizal species showed depleted foliar δ15N and higher foliar N concentrations than in reference plots. Rates of N transformations in reference plots were similar to rates in actinorhizal plots; isotopic differences between plot types could not be explained by differences in N loss pathways. Actinorhizal species influence N cycling and availability in N-limited cold deserts, in a manner similar to leguminous plants in warm arid regions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2018.06.004","usgsCitation":"Freund, S.M., Soper, F.M., Poulson, S.R., Selmants, P., and Sullivan, B.W., 2018, Actinorhizal species influence plant and soil nitrogen status of semiarid shrub-dominated ecosystems in the western Great Basin, USA: Journal of Arid Environments, v. 157, p. 48-56, https://doi.org/10.1016/j.jaridenv.2018.06.004.","productDescription":"9 p.","startPage":"48","endPage":"56","ipdsId":"IP-098743","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":356528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin","volume":"157","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f27","contributors":{"authors":[{"text":"Freund, Stephanie M.","contributorId":207084,"corporation":false,"usgs":false,"family":"Freund","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":742716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soper, Fiona M.","contributorId":207085,"corporation":false,"usgs":false,"family":"Soper","given":"Fiona","email":"","middleInitial":"M.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":742717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Simon R.","contributorId":187411,"corporation":false,"usgs":false,"family":"Poulson","given":"Simon","email":"","middleInitial":"R.","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":742718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":182694,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul C.","email":"pselmants@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":742715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Benjamin W.","contributorId":207086,"corporation":false,"usgs":false,"family":"Sullivan","given":"Benjamin","email":"","middleInitial":"W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":742719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198688,"text":"70198688 - 2018 - Science alive and well in North American wildlife management","interactions":[],"lastModifiedDate":"2018-08-28T10:19:41","indexId":"70198688","displayToPublicDate":"2018-08-15T14:33:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Science alive and well in North American wildlife management","docAbstract":"Artelle et al. (1) entitled a recent article with the provocative claim: “Hallmarks of science missing from North American wildlife management”. Although we agree with some of the concerns and recommendations of Artelle et al. (1), we believe that the article is misleading about the distinction between science and management, the role of science in wise management, and the degree to which science is used in North American wildlife management. Here we distinguish between science and management, specify an appropriate role of science in management, and document the explicit use of science in at least some programs of North American wildlife management.
","language":"English","publisher":"Science","usgsCitation":"Nichols, J.D., Johnson, F.A., Williams, B.K., and Boomer, G., 2018, Science alive and well in North American wildlife management: Science Advances, eLetter.","productDescription":"eLetter","ipdsId":"IP-096684","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356526,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://advances.sciencemag.org/content/4/3/eaao0167/tab-e-letters"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f29","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":742580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":207067,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":742583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":742582,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198684,"text":"70198684 - 2018 - Insight into infectious hematopoietic necrosis virus (IHNV) in Chinese rainbow trout aquaculture from virus isolated from 7 provinces in 2010–2014","interactions":[],"lastModifiedDate":"2018-08-15T14:30:44","indexId":"70198684","displayToPublicDate":"2018-08-15T14:30:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Insight into infectious hematopoietic necrosis virus (IHNV) in Chinese rainbow trout aquaculture from virus isolated from 7 provinces in 2010–2014","docAbstract":"The aquatic rhabdovirus infectious hematopoietic necrosis virus (IHNV) currently causes substantial fish losses in Chinese coldwater aquaculture. While IHNV was first reported in China in 1985 and has since undergone considerable spread, little is known about the underlying epidemiological patterns like introduction sources and transmission routes. In this study, we examined epidemiological and phylogenetic data for 50 IHNV isolates from 7 provinces in China detected in 2010–2014 (Liaoning, n = 33; Jilin, n = 3; Heilongjiang, n = 1; Yunnan, n = 2; Sichuan, n = 1; Hebei, n = 5; Gansu, n = 5). Features of case details include highest mortality associated with water temperatures of 8–10 °C and symptomatic disease observed in adult rainbow trout. Sequence comparisons of the midG sequences of 50 strains revealed 11 different sequence types. One sequence type, mG801J, was predominantly detected, being found in 38 of 50 isolates. Phylogenetic analyses of the new midG sequence types showed that 49 of 50 IHNV isolates are closely related to one another and all descend from the previously described J Nagano subgroup, forming the monophyletic group J Nagano-China clade. This indicates that the majority of IHNV circulating within China is descended from a single importation event from elsewhere in Asia. The one observed exception was the detection of a novel genotype belonging to the previously described MN subgroup. This genotype was identified in Liaoning province, and indicates a second introduction event, one that does not appear to have resulted in diversification and spread. These results indicate that continued surveillance of IHNV in China is necessary to understand and manage viral transmission dynamics within China over time.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2018.06.062","usgsCitation":"Jia, P., Breyta, R.B., Li, Q., Qian, X., Wu, B., Zheng, W., Wen, Z., Liu, Y., Kurath, G., Hua, Q., Jin, N., and Liu, H., 2018, Insight into infectious hematopoietic necrosis virus (IHNV) in Chinese rainbow trout aquaculture from virus isolated from 7 provinces in 2010–2014: Aquaculture, v. 496, p. 239-246, https://doi.org/10.1016/j.aquaculture.2018.06.062.","productDescription":"8 p.","startPage":"239","endPage":"246","ipdsId":"IP-091650","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":356525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"496","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f2b","contributors":{"authors":[{"text":"Jia, Peng","contributorId":191750,"corporation":false,"usgs":false,"family":"Jia","given":"Peng","email":"","affiliations":[],"preferred":false,"id":742557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel B.","contributorId":207060,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","email":"","middleInitial":"B.","affiliations":[{"id":37446,"text":"Microbiology, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":742558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qing","contributorId":207088,"corporation":false,"usgs":false,"family":"Li","given":"Qing","affiliations":[],"preferred":false,"id":742559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Xu","contributorId":207061,"corporation":false,"usgs":false,"family":"Qian","given":"Xu","email":"","affiliations":[{"id":37447,"text":"Yuzhong Animal Husbandry and Fishery Technology Promotion Center, Gan Su, Peopl's Republic of China, 730100","active":true,"usgs":false}],"preferred":false,"id":742560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Bing","contributorId":207062,"corporation":false,"usgs":false,"family":"Wu","given":"Bing","email":"","affiliations":[{"id":37448,"text":"Liaoning Entry-exit Inspection and Quarantine Bureau, Da Lian, People's Republic of China, 116001","active":true,"usgs":false}],"preferred":false,"id":742561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Wei","contributorId":207063,"corporation":false,"usgs":false,"family":"Zheng","given":"Wei","email":"","affiliations":[{"id":37449,"text":"Jilin Academy of Fishery Science, Jilin, People's Republic of China, 130033","active":true,"usgs":false}],"preferred":false,"id":742562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wen, Zhiqing","contributorId":207064,"corporation":false,"usgs":false,"family":"Wen","given":"Zhiqing","email":"","affiliations":[{"id":37450,"text":"Schenzhen Academy of Inspection and Quarantine Sciences, Schenzhen, People's Republic of China, 518045","active":true,"usgs":false}],"preferred":false,"id":742563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Ying","contributorId":207065,"corporation":false,"usgs":false,"family":"Liu","given":"Ying","email":"","affiliations":[{"id":37450,"text":"Schenzhen Academy of Inspection and Quarantine Sciences, Schenzhen, People's Republic of China, 518045","active":true,"usgs":false}],"preferred":false,"id":742564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742556,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hua, Qunyi","contributorId":191759,"corporation":false,"usgs":false,"family":"Hua","given":"Qunyi","email":"","affiliations":[],"preferred":false,"id":742565,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jin, Ningyi","contributorId":191762,"corporation":false,"usgs":false,"family":"Jin","given":"Ningyi","email":"","affiliations":[],"preferred":false,"id":742566,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Liu, Hong","contributorId":191763,"corporation":false,"usgs":false,"family":"Liu","given":"Hong","email":"","affiliations":[],"preferred":false,"id":742567,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70198851,"text":"70198851 - 2018 - Evaluating long-term patterns of decreasing groundwater discharge through a lake-bottom permeable reactive barrier","interactions":[],"lastModifiedDate":"2018-08-20T14:56:21","indexId":"70198851","displayToPublicDate":"2018-08-15T14:29:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating long-term patterns of decreasing groundwater discharge through a lake-bottom permeable reactive barrier","docAbstract":"Identifying and quantifying groundwater exchange is critical when considering contaminant fate and transport at the groundwater/surface-water interface. In this paper, areally distributed temperature and point seepage measurements are used to efficiently assess spatial and temporal groundwater discharge patterns through a glacial-kettle lakebed area containing a zero-valent iron permeable reactive barrier (PRB). Concern was that the PRB was becoming less permeable with time owing to biogeochemical processes within the PRB. Patterns of groundwater discharge over an 8-year period were examined using fiber-optic distributed temperature sensing (FO-DTS) and snapshot-in-time point measurements of temperature. The resulting thermal maps show complex and uneven distributions of temperatures across the lakebed and highlight zones of rapid seepage near the shoreline and along the outer boundaries of the PRB. Repeated thermal mapping indicates an increase in lakebed temperatures over time at periods of similar stage and surface-water temperature. Flux rates in six seepage meters permanently installed on the lakebed in the PRB area decreased on average by 0.021 md-1 (or about 4.5 percent) annually between 2004 and 2015. Modeling of diurnal temperature signals from shallow vertical profiles yielded mean flux values ranging from 0.39 to 1.15 md-1, with stronger fluxes generally related to colder lakebed temperatures. The combination of an increase in lakebed temperatures, declines in direct seepage, and observations of increased cementation of the lakebed surface provide in situ evidence that the permeability of the PRB is declining. The presence of temporally persistent rapid seepage zones is also discussed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.02.083","usgsCitation":"McCobb, T.D., Briggs, M.A., LeBlanc, D.R., Day-Lewis, F.D., and Johnson, C.D., 2018, Evaluating long-term patterns of decreasing groundwater discharge through a lake-bottom permeable reactive barrier: Journal of Environmental Management, v. 220, p. 233-245, https://doi.org/10.1016/j.jenvman.2018.02.083.","productDescription":"13 p.","startPage":"233","endPage":"245","ipdsId":"IP-092163","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":468493,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1582990","text":"Publisher Index Page"},{"id":437782,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78914ZS","text":"USGS data release","linkHelpText":"Temperature and seepage data from a lake-bottom permeable reactive barrier, Ashumet Pond, Falmouth, MA, 2004-2015."},{"id":356627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f2d","contributors":{"authors":[{"text":"McCobb, Timothy D. 0000-0003-1533-847X tmccobb@usgs.gov","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":2012,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy","email":"tmccobb@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":743078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":743079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198683,"text":"70198683 - 2018 - Responses of hatchery‐ and natural‐origin adult spring Chinook Salmon to a trap‐and‐haul reintroduction program","interactions":[],"lastModifiedDate":"2018-11-14T09:35:33","indexId":"70198683","displayToPublicDate":"2018-08-15T14:26:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Responses of hatchery‐ and natural‐origin adult spring Chinook Salmon to a trap‐and‐haul reintroduction program","docAbstract":"The construction of impassable dams severely affected many Pacific salmon Oncorhynchus spp. populations, resulting in reintroduction efforts that are now focused on returning anadromous fish to areas located upstream of these dams. A primary strategy for moving adult salmon and steelhead O. mykiss around a dam or multiple dams involves trapping fish downstream and transporting them to upstream areas (“trap and haul”) for spawning. We conducted a 4‐year radiotelemetry study to evaluate behavior and movement patterns of hatchery‐ and natural‐origin adult spring Chinook Salmon O. tshawytscha after a trap‐and‐haul program was implemented around three dams on the Cowlitz River, Washington. A multistate model was used to describe how factors such as origin, sex, release site location, and discharge affected transition rates to riverine areas where spawning habitat was located. Natural‐origin Chinook Salmon moved upstream from a reservoir release site and entered one of two rivers more quickly and in greater proportions than hatchery‐origin fish. Results from the multistate model indicated that transition rates from the reservoir to the Cowlitz River were 2.2 times higher for natural‐origin Chinook Salmon than for hatchery‐origin fish. About one‐half (49.6%) of the reservoir‐released hatchery‐origin Chinook Salmon moved upstream into the Cowlitz River or the Cispus River during the spawning period. The release of hatchery‐origin Chinook Salmon directly into these rivers increased the percentage of fish with river fates during the spawning period to 72.3–75.4%. Results from the multistate model showed that factors such as release site location, origin, day of year, and discharge were important predictors of transition intensities between specific locations in the study area. These findings illustrate the need to evaluate how salmon and steelhead respond to trap‐and‐haul methods, allowing for better management of reintroduction efforts in the future.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10199","usgsCitation":"Kock, T.J., Perry, R.W., Pope, A.C., Serl, J.D., Kohn, M., and Liedtke, T.L., 2018, Responses of hatchery‐ and natural‐origin adult spring Chinook Salmon to a trap‐and‐haul reintroduction program: North American Journal of Fisheries Management, v. 38, no. 5, p. 1004-1016, https://doi.org/10.1002/nafm.10199.","productDescription":"13 p.","startPage":"1004","endPage":"1016","ipdsId":"IP-090272","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":356524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.22290039062499,\n 46.3886223381617\n ],\n [\n -121.453857421875,\n 46.3886223381617\n ],\n [\n -121.453857421875,\n 46.66263249079177\n ],\n [\n -122.22290039062499,\n 46.66263249079177\n ],\n [\n -122.22290039062499,\n 46.3886223381617\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f2f","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Adam C. 0000-0002-7253-2247 apope@usgs.gov","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":5664,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","email":"apope@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":742552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Serl, John D.","contributorId":207057,"corporation":false,"usgs":false,"family":"Serl","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":37444,"text":"Washington Department of Fish and Wildlife, Cowlitz Falls Fish Facility, Randle, WA","active":true,"usgs":false}],"preferred":false,"id":742553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kohn, Mike","contributorId":207058,"corporation":false,"usgs":false,"family":"Kohn","given":"Mike","email":"","affiliations":[{"id":37445,"text":"Public Utility District Number 1 of Lewis County, Cowlitz Falls Project, Morton, WA","active":true,"usgs":false}],"preferred":false,"id":742554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198679,"text":"70198679 - 2018 - Flyway structure in the circumpolar greater white‐fronted goose","interactions":[],"lastModifiedDate":"2018-09-20T16:24:20","indexId":"70198679","displayToPublicDate":"2018-08-15T14:08:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Flyway structure in the circumpolar greater white‐fronted goose","docAbstract":"Dispersal and migratory behavior are influential factors in determining how genetic diversity is distributed across the landscape. In migratory species, genetic structure can be promoted via several mechanisms including fidelity to distinct migratory routes. Particularly within North America, waterfowl management units have been delineated according to distinct longitudinal migratory flyways supported by banding data and other direct evidence. The greater white‐fronted goose (Anser albifrons) is a migratory waterfowl species with a largely circumpolar distribution consisting of up to six subspecies roughly corresponding to phenotypic variation. We examined the rangewide population genetic structure of greater white‐fronted geese using mtDNA control region sequence data and microsatellite loci from 23 locales across North America and Eurasia. We found significant differentiation in mtDNA between sampling locales with flyway delineation explaining a significant portion of the observed genetic variation (~12%). This is concordant with band recovery data which shows little interflyway or intercontinental movements. However, microsatellite loci revealed little genetic structure suggesting a panmictic population across most of the Arctic. As with many high‐latitude species, Beringia appears to have played a role in the diversification of this species. A common Beringian origin of North America and Asian populations and a recent divergence could at least partly explain the general lack of structure at nuclear markers. Further, our results do not provide strong support for the various taxonomic proposals for this species except for supporting the distinctness of two isolated breeding populations within Cook Inlet, Alaska (A. a. elgasi) and Greenland (A. a. flavirostris), consistent with their subspecies status.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4345","usgsCitation":"Wilson, R.E., Ely, C.R., and Talbot, S.L., 2018, Flyway structure in the circumpolar greater white‐fronted goose: Ecology and Evolution, v. 8, no. 16, p. 8490-8507, https://doi.org/10.1002/ece3.4345.","productDescription":"18 p.","startPage":"8490","endPage":"8507","ipdsId":"IP-092590","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4345","text":"Publisher Index Page"},{"id":437783,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0JGN","text":"USGS data release","linkHelpText":"Greater White-Fronted Goose Genetic Data, Circumpolar, 1988-2009"},{"id":356520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5b98a286e4b0702d0e842f31","contributors":{"authors":[{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@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}],"preferred":true,"id":742535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":742536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":742537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198678,"text":"70198678 - 2018 - A transcriptome resource for the Arctic Cod (Boreogadus saida)","interactions":[],"lastModifiedDate":"2018-11-14T09:37:10","indexId":"70198678","displayToPublicDate":"2018-08-15T14:00:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5730,"text":"Marine Genomics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A transcriptome resource for the Arctic Cod (Boreogadus saida)","title":"A transcriptome resource for the Arctic Cod (Boreogadus saida)","docAbstract":"Arctic Cod (Boreogadus saida) serve as an important link in Arctic food webs and are thus considered an important species for environmental monitoring. RNA-Seq was conducted on samples from wild-collected individuals representing various age classes and tissue types to obtain as complete a transcriptome as possible on an Illumina MiSeq, which resulted in a total of 64,457 transcripts with an average length of 295 bp. We identified well-known genes that are associated with temperature change or response to pollutants. This RNA-Seq effort provides the first insight into the B. saida transcriptome, which can be a starting point for investigations identifying genes for local adaptation and genomic responses to future environmental change.
Potential bias in breeding population estimates of certain duck species from the Waterfowl Breeding Population and Habitat Survey (WBPHS) has been a concern for decades. The WBPHS does not differentiate between lesser (Aythya affinis) and greater (A. marila) scaup, but lesser scaup comprise 89% of the combined scaup population and their population estimates are suspected to be biased. We marked female lesser scaup (i.e., marked scaup) in the Mississippi and Atlantic Flyways, Canada and United States, with implantable satellite transmitters to track their spring migration through the traditional and eastern survey areas of the WBPHS, 2005–2010. Our goal was to use data independent of the WBPHS to evaluate whether breeding population estimates for scaup were biased and identify variables that might be used in the future to refine population estimates. We found that the WBPHS estimates of breeding scaup are biased because, across years, only 30% of our marked scaup had settled for the breeding period when the strata in which they settled were surveyed, 43% were available to be counted in multiple survey strata as their migration continued during the WBPHS, 32% settled outside the WBPHS area, the number of times a marked scaup was available to be counted by survey crews varied positively with the latitude that a marked scaup settled on breeding areas, the probability of a marked scaup being in a stratum while it was surveyed varied among years, and these probabilities were positively correlated with the traditional and eastern breeding population estimates for scaup. Annual population estimates derived from banding data provide a less biased and preferable method of monitoring scaup population status and trend. Development of models that include metrics such as survey stratum latitude and annual spring environmental conditions might potentially be used to improve scaup breeding population estimates derived from the WBPHS, but independent estimates from banding data would be important to evaluate such models.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21478","usgsCitation":"Schummer, M.L., Afton, A.D., Badzinski, S.S., Petrie, S.A., Olsen, G.H., and Mitchell, M.A., 2018, Evaluating the waterfowl breeding population and habitat survey for scaup: Journal of Wildlife Management, v. 82, no. 6, p. 1252-1262, https://doi.org/10.1002/jwmg.21478.","productDescription":"11 p.","startPage":"1252","endPage":"1262","ipdsId":"IP-092640","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b98a286e4b0702d0e842f35","contributors":{"authors":[{"text":"Schummer, Michael L.","contributorId":176347,"corporation":false,"usgs":false,"family":"Schummer","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":742504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":742505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Badzinski, Shannon S.","contributorId":176348,"corporation":false,"usgs":false,"family":"Badzinski","given":"Shannon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":742506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Scott A.","contributorId":141223,"corporation":false,"usgs":false,"family":"Petrie","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":13717,"text":"Long Point Waterfowl","active":true,"usgs":false}],"preferred":false,"id":742507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":742503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Mark A.","contributorId":207036,"corporation":false,"usgs":false,"family":"Mitchell","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":37433,"text":"Department of Veterinary Clinical Medicine, University of Illinois, Urbana, IL 61802","active":true,"usgs":false}],"preferred":false,"id":742508,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201695,"text":"70201695 - 2018 - Deep fluid pathways beneath Mammoth Mountain, California, illuminated by migrating earthquake swarms","interactions":[],"lastModifiedDate":"2018-12-21T13:33:39","indexId":"70201695","displayToPublicDate":"2018-08-15T13:33:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Deep fluid pathways beneath Mammoth Mountain, California, illuminated by migrating earthquake swarms","docAbstract":"Although most volcanic seismicity is shallow (within several kilometers of the surface), some volcanoes exhibit deeper seismicity (10 to 30+ km) that may reflect active processes such as magma resupply and volatile transfer. One such volcano is Mammoth Mountain, California, which has also recently exhibited high rates of CO2 discharge at the surface. We perform high-resolution earthquake detection and relocation to reveal punctuated episodes of rapidly propagating seismicity at mid-crustal depths along a narrow fracture zone surrounding a body of partial melt. We infer that these earthquakes track dike intrusions or fluid pressure pulses associated with CO2 exsolution, suggesting that the deep plumbing system of Mammoth Mountain is an active conduit for fluid transport from the base of the crust to the surface.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.aat5258","usgsCitation":"Hotovec-Ellis, A.J., Shelly, D.R., Hill, D.P., Pitt, A.M., Dawson, P.B., and Chouet, B.A., 2018, Deep fluid pathways beneath Mammoth Mountain, California, illuminated by migrating earthquake swarms: Science Advances, v. 4, no. 8, p. 1-7, https://doi.org/10.1126/sciadv.aat5258.","productDescription":"eaat5258; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-094119","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aat5258","text":"Publisher Index Page"},{"id":360682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","volume":"4","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a32e4b0708288cb0223","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":754877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, David P. 0000-0002-1619-2006 dhill@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-2006","contributorId":206752,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"dhill@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitt, Andrew M. 0000-0003-4119-0907 pitt@usgs.gov","orcid":"https://orcid.org/0000-0003-4119-0907","contributorId":211786,"corporation":false,"usgs":true,"family":"Pitt","given":"Andrew","email":"pitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":754880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chouet, Bernard A. 0000-0001-5527-0532","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":211787,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754881,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198303,"text":"sir20185101 - 2018 - Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2018","interactions":[],"lastModifiedDate":"2018-08-24T14:02:04","indexId":"sir20185101","displayToPublicDate":"2018-08-15T13:11:50","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":"2018-5101","title":"Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2018","docAbstract":"Since the early 1900s, most of the groundwater withdrawals in the Houston-Galveston region, Texas, have been from the three primary aquifers that compose the Gulf Coast aquifer system—the Chicot, Evangeline, and Jasper aquifers. Withdrawals from these aquifers are used for municipal supply, industrial, and irrigation purposes. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting the status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers in the Houston-Galveston region. This report contains regional-scale maps depicting approximate 2018 groundwater-level altitudes (represented by measurements made during December 2017 through March 2018) and long-term groundwater-level changes for the Chicot, Evangeline, and Jasper aquifers.
In 2018, groundwater-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below the North American Vertical Datum of 1988 (hereinafter referred to as “datum”) to 200 ft above datum. The 1977–2018 groundwater-level-change contours for the Chicot aquifer depict a large area of decline in groundwater-level altitudes (120 ft) in northwestern Harris County. The largest rise in groundwater-level altitudes in the Chicot aquifer from 1977 to 2018 (180 ft) was in southeastern Harris County.
Groundwater-level-altitude contours for the Evangeline aquifer ranged from 250 ft below datum to 200 ft above datum in 2018. The 1977–2018 groundwater-level-change contours for the Evangeline aquifer depict broad areas where groundwater-level altitudes either declined or rose. The largest decline in groundwater-level altitudes (320 ft) was in southern Montgomery County. The largest rise in groundwater-level altitudes in the Evangeline aquifer from 1977 to 2018 (240 ft) was in southeastern Harris County.
In 2018, groundwater-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum to 200 ft above datum. The 2000–18 groundwater-level-change contours for the Jasper aquifer depict groundwater-level declines throughout most of the study area where groundwater-level-altitude data from the Jasper aquifer were collected, with the largest decline (200 ft) in southern Montgomery County.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185101","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Shah, S.D., Ramage, J.K., and Braun, C.L., 2018, Status of groundwater-level altitudes and long-term groundwater-level changes in the Chicot, Evangeline, and Jasper aquifers, Houston-Galveston region, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2018–5101, 18 p., https://doi.org/10.3133/sir20185101.","productDescription":"Report: vi, 18 p.; Data Releases","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-096207","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":356456,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79S1QBW","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Depth to Groundwater Measured from Wells Completed in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2018"},{"id":356455,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5101/sir20185101.pdf","text":"Report","size":"15.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5101"},{"id":356457,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FEL6MS","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Groundwater-Level Altitudes and Long-term Groundwater-Level Changes in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2018"},{"id":356454,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5101/coverthb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Houston-Galveston Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 29\n ],\n [\n -94.25,\n 29\n ],\n [\n -94.25,\n 31\n ],\n [\n -96,\n 31\n ],\n [\n -96,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501
The Mexican wolf recovery team proposed to establish other populations of Mexican wolves (Canis lupus baileyi) in the Southwest (U.S. Fish and Wildlife Service, 1982). We were tasked to conduct an extensive simulation modeling exercise to determine release strategies (in conjunction with management actions) that best predict establishment of a new Mexican wolf population. Our objectives were to determine optimal release and management strategies for population establishment and growth. This is a retrospective analysis utilizing data from 1998 to 2014, and during this period, we divided management strategies into two phases; (1) 1998–2008, where nuisance wolves (i.e., wolves that exhibit nuisance behavior or depredate livestock) were managed primarily through lethal removals and removals to captivity, and (2) 2009–2014, when lethal removals ceased and diversionary feeding was provided to denning packs to dissuade wolves from conflict with humans. Management strategies from the second phase are being used for management of the current Mexican wolf population, and demographic rates derived from alternate population modeling in Vortex incorporating post-2008 wolf data are being used to guide future recovery efforts. Therefore, demographic rates estimated from our retrospective analysis will differ (i.e., due to our unique approach to the analyses and the demographic rates being derived from a different dataset), and are intended solely to address the objectives of this report, and are not intended as basis for the development of management recommendations for the current Mexican wolf population. Using individual-based models, we tested dozens of scenarios and derived an optimal release strategy that had the highest probability of establishing a new population and which maximized subsequent post-release growth, and in this report, we present these model results. Findings from this research will improve our understanding of release strategies that yield growing populations, advance our understanding of the demands of reintroducing large carnivores, and provide insight into beneficial strategies that could aid other species reintroduction programs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181126","collaboration":"Prepared for U.S. Fish and Wildlife Service, Agreement: G12AC20098","usgsCitation":"Gedir, J.V., and Cain, J.W., III, 2018, An individual-based model for predicting dynamics of a newly established Mexican wolf (Canis lupus baileyi) population—Final report: U.S. Geological Survey Open-File Report 2018-1126, 16 p., https://doi.org/10.3133/ofr20181126.","productDescription":"iv, 16 p.","onlineOnly":"Y","ipdsId":"IP-085609","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356548,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1126/ofr20181126.pdf","text":"Report","size":"904 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1126"},{"id":356547,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1126/coverthb.jpg"}],"country":"United States","state":"Arizona, New Mexico","contact":"Leader, Washington Cooperative Fish and Wildlife Research Unit
U.S. Geological Survey
Fishery Sciences Building, Box 355020
University of Washington
Seattle, Washington, 98195
https://www.coopunits.org/Washington/