Quantification of the character and spatial distribution of porosity in carbonate aquifers is important as input into computer models used in the calculation of intrinsic permeability and for next-generation, high-resolution groundwater flow simulations. Digital, optical, borehole-wall image data from three closely spaced boreholes in the karst-carbonate Biscayne aquifer in southeastern Florida are used in geostatistical experiments to assess the capabilities of various methods to create realistic two-dimensional models of vuggy megaporosity and matrix-porosity distribution in the limestone that composes the aquifer. When the borehole image data alone were used as the model training image, multiple-point geostatistics failed to detect the known spatial autocorrelation of vuggy megaporosity and matrix porosity among the three boreholes, which were only 10 m apart. Variogram analysis and subsequent Gaussian simulation produced results that showed a realistic conceptualization of horizontal continuity of strata dominated by vuggy megaporosity and matrix porosity among the three boreholes.
","language":"English","publisher":"National Ground Water Association","publisherLocation":"Worthington, OH","doi":"10.1111/gwat.12354","usgsCitation":"Michael Sukop, and Cunningham, K.J., 2016, Geostatistical borehole image-based mapping of karst-carbonate aquifer pores: Groundwater, v. 54, no. 2, p. 202-213, https://doi.org/10.1111/gwat.12354.","productDescription":"12 p.","startPage":"202","endPage":"213","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044928","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":306283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"55bc9c2ce4b033ef52100f26","contributors":{"authors":[{"text":"Michael Sukop","contributorId":145653,"corporation":false,"usgs":false,"family":"Michael Sukop","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":564917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":564916,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148085,"text":"ds937 - 2016 - Marine geophysical data collected in a shallow back-barrier estuary, Barnegat Bay, New Jersey","interactions":[],"lastModifiedDate":"2016-09-08T16:14:11","indexId":"ds937","displayToPublicDate":"2015-06-26T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"937","title":"Marine geophysical data collected in a shallow back-barrier estuary, Barnegat Bay, New Jersey","docAbstract":"In 2011, the U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection, began a multidisciplinary research project to better understand the water quality in Barnegat Bay, New Jersey. This back-barrier estuary is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen stress, macroalgae, stinging nettles, and brown tide. The spatial scale of the estuary and the scope of challenges within it necessitate a multidisciplinary approach that includes establishing the regional geology and the estuary’s physical characteristics and modeling how the estuary’s morphology interacts to affect its water quality. This report presents the data collected during this project for use in understanding the morphology and the distribution of sea-floor and sub-sea-floor sediments within Barnegat Bay, describes the methods used to collect and process those data, and includes links to the final processed datasets. These data can be used by scientists to understand the links between geomorphology, geologic framework, sediment transport, and estuarine water quality and circulation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds937","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Andrews, B.D., Miselis, J.L., Danforth, W.W., Irwin, B.J., Worley, C.R., Bergeron, E.M., and Blackwood, D.S., 2016, Marine geophysical data collected in a shallow back-barrier estuary, Barnegat Bay, New Jersey (ver. 1.1, September 2016): U.S. Geological Survey Data Series 937, 15 p., https://dx.doi.org/10.3133/ds937.","productDescription":"Report: iv, 15 p.; Downloads Directory","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062258","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":302385,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0937/downloads","text":"Downloads Directory","description":"DS 937","linkHelpText":"Contains: photographs, shapefiles, and raster files. Refer to the Readme.txt file for more information."},{"id":302386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0937/images/coverthbn.jpg"},{"id":327358,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/0937/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":302383,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0937/index.html"},{"id":302384,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0937/pdf/ds937.pdf","text":"Report","size":"3.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 937"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.49142456054688,\n 39.39375459224348\n ],\n [\n -74.410400390625,\n 39.364032338047984\n ],\n [\n -74.31015014648438,\n 39.47754556963625\n ],\n [\n -74.17007446289061,\n 39.65857056750545\n ],\n [\n -74.09591674804688,\n 39.7779358040303\n ],\n [\n -74.05471801757812,\n 40.0360265298117\n ],\n [\n -74.04510498046875,\n 40.07491896000657\n ],\n [\n -74.07394409179688,\n 40.06756263511062\n ],\n [\n -74.12338256835936,\n 40.065460682065535\n ],\n [\n -74.12750244140625,\n 40.0507451947963\n ],\n [\n -74.07669067382811,\n 40.042334918180536\n ],\n [\n -74.0863037109375,\n 40.02130468739707\n ],\n [\n -74.11651611328125,\n 40.03182061333687\n ],\n [\n -74.1357421875,\n 40.03392360399664\n ],\n [\n -74.11788940429688,\n 40.01078714046552\n ],\n [\n -74.12887573242188,\n 40.00447583427404\n ],\n [\n -74.15084838867188,\n 40.00447583427404\n ],\n [\n -74.12887573242188,\n 39.98027708862265\n ],\n [\n -74.11376953125,\n 39.9476478239225\n ],\n [\n -74.15084838867188,\n 39.950806175257355\n ],\n [\n -74.20852661132812,\n 39.95396438076642\n ],\n [\n -74.1851806640625,\n 39.93395994977672\n ],\n [\n -74.11102294921875,\n 39.925535281697286\n ],\n [\n -74.1302490234375,\n 39.90025505675715\n ],\n [\n -74.14672851562499,\n 39.871803651624425\n ],\n [\n -74.16732788085938,\n 39.82435840847207\n ],\n [\n -74.190673828125,\n 39.78321267821705\n ],\n [\n -74.20852661132812,\n 39.75576851405812\n ],\n [\n -74.17282104492188,\n 39.734650174341866\n ],\n [\n -74.17007446289061,\n 39.70824314819603\n ],\n [\n -74.2071533203125,\n 39.66808510414671\n ],\n [\n -74.234619140625,\n 39.64165260123416\n ],\n [\n -74.267578125,\n 39.61203619933693\n ],\n [\n -74.29229736328125,\n 39.6109782362526\n ],\n [\n -74.33761596679688,\n 39.57288079854952\n ],\n [\n -74.30740356445312,\n 39.54005788576377\n ],\n [\n -74.30328369140625,\n 39.51145753426751\n ],\n [\n -74.33486938476562,\n 39.51357648276841\n ],\n [\n -74.33074951171875,\n 39.536880650643056\n ],\n [\n -74.35821533203125,\n 39.547470868779406\n ],\n [\n -74.39804077148438,\n 39.54111693181784\n ],\n [\n -74.41452026367188,\n 39.562294459158174\n ],\n [\n -74.41864013671875,\n 39.54958871848275\n ],\n [\n -74.39666748046874,\n 39.487084981687495\n ],\n [\n -74.38568115234375,\n 39.47648555419741\n ],\n [\n -74.3939208984375,\n 39.4637641090409\n ],\n [\n -74.40765380859375,\n 39.42452501272267\n ],\n [\n -74.43099975585938,\n 39.459523110465156\n ],\n [\n -74.4268798828125,\n 39.47754556963625\n ],\n [\n -74.45297241210938,\n 39.46164364205549\n ],\n [\n -74.49142456054688,\n 39.39375459224348\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted June 26, 2015; Version 1.1: September 2016","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598
http://woodshole.er.usgs.gov/
Managing species with intensive tools such as reintroduction may focus on single sites or entire landscapes. For vagile species, long-term persistence will require colonization and establishment in neighboring habitats. Therefore, both suitable colonization sites and suitable dispersal corridors between sites are required. Assessment of landscapes for both requirements can contribute to ranking and selection of reintroduction areas, thereby improving management success. Following eradication of invasive American Bullfrogs (Lithobates catesbeianus) from most of Buenos Aires National Wildlife Refuge (BANWR; Arizona, United States), larval Chiricahua Leopard Frogs (Lithobates chiricahuensis) from a private pond were reintroduced into three stock ponds. Populations became established at all three reintroduction sites followed by colonization of neighboring ponds in subsequent years. Our aim was to better understand colonization patterns by the federally threatened L. chiricahuensis which could help inform other reintroduction efforts. We assessed the influence of four landscape features on colonization. Using surveys from 2007 and information about the landscape, we developed a habitat connectivity model, based on electrical circuit theory, that identified potential dispersal corridors after explicitly accounting for imperfect detection of frogs. Landscape features provided little insight into why some sites were colonized and others were not, results that are likely because of the uniformity of the BANWR landscape. While corridor modeling may be effective in more-complex landscapes, our results suggest focusing on local habitat will be more useful at BANWR. We also illustrate that existing data, even when limited in spatial or temporal resolution, can provide information useful in formulating management actions.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/14-172","usgsCitation":"Jarchow, C.J., Hossack, B.R., Sigafus, B.H., Schwalbe, C.R., and Muths, E.L., 2016, Modeling habitat connectivity to inform reintroductions: a case study with the Chiricahua Leopard Frog: Journal of Herpetology, v. 50, no. 1, p. 63-69, https://doi.org/10.1670/14-172.","productDescription":"7 p.","startPage":"63","endPage":"69","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060747","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":306675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfb8e4b08400b1fe1416","contributors":{"authors":[{"text":"Jarchow, Christopher J. 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":5813,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":567644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":567645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":567646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwalbe, Cecil R. cschwalbe@usgs.gov","contributorId":3077,"corporation":false,"usgs":true,"family":"Schwalbe","given":"Cecil","email":"cschwalbe@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":567647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":567648,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156899,"text":"70156899 - 2016 - Defining the next generation modeling of coastal ecotone dynamics in response to global change","interactions":[],"lastModifiedDate":"2016-07-17T23:09:25","indexId":"70156899","displayToPublicDate":"2015-05-06T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Defining the next generation modeling of coastal ecotone dynamics in response to global change","docAbstract":"Coastal ecosystems are especially vulnerable to global change; e.g., sea level rise (SLR) and extreme events. Over the past century, global change has resulted in salt-tolerant (halophytic) plant species migrating into upland salt-intolerant (glycophytic) dominated habitats along major rivers and large wetland expanses along the coast. While habitat transitions can be abrupt, modeling the specific drivers of abrupt change between halophytic and glycophytic vegetation is not a simple task. Correlative studies, which dominate the literature, are unlikely to establish ultimate causation for habitat shifts, and do not generate strong predictive capacity for coastal land managers and climate change adaptation exercises. In this paper, we first review possible drivers of ecotone shifts for coastal wetlands, our understanding of which has expanded rapidly in recent years. Any exogenous factor that increases growth or establishment of halophytic species will favor the ecotone boundary moving upslope. However, internal feedbacks between vegetation and the environment, through which vegetation modifies the local microhabitat (e.g., by changing salinity or surface elevation), can either help the system become resilient to future changes or strengthen ecotone migration. Following this idea, we review a succession of models that have provided progressively better insight into the relative importance of internal positive feedbacks versus external environmental factors. We end with developing a theoretical model to show that both abrupt environmental gradients and internal positive feedbacks can generate the sharp ecotonal boundaries that we commonly see, and we demonstrate that the responses to gradual global change (e.g., SLR) can be quite diverse.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2015.04.013","usgsCitation":"Jiang, J., DeAngelis, D., Teh, S., Krauss, K.W., Wang, H., Haidong, L., Smith, T.J., and Koh, H.L., 2016, Defining the next generation modeling of coastal ecotone dynamics in response to global change: Ecological Modelling, v. 326, p. 168-176, https://doi.org/10.1016/j.ecolmodel.2015.04.013.","productDescription":"9 p.","startPage":"168","endPage":"176","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061078","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2015.04.013","text":"Publisher Index Page"},{"id":307809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"326","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e81dafe4b0dacf699e6660","chorus":{"doi":"10.1016/j.ecolmodel.2015.04.013","url":"http://dx.doi.org/10.1016/j.ecolmodel.2015.04.013","publisher":"Elsevier BV","authors":"Jiang Jiang, DeAngelis Donald L., Teh Su-Yean, Krauss Ken W., Wang Hongqing, Li Haidong, Smith Thomas J., Koh Hock-Lye","journalName":"Ecological Modelling","publicationDate":"4/2016","auditedOn":"9/7/2016","publiclyAccessibleDate":"8/16/2016"},"contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":571041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":571040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teh, Su-Y","contributorId":147290,"corporation":false,"usgs":false,"family":"Teh","given":"Su-Y","email":"","affiliations":[{"id":16817,"text":"Universiti Sains Malaysia, Penang 11800, Malaysia","active":true,"usgs":false}],"preferred":false,"id":571042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":571043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":571044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haidong, Li","contributorId":147291,"corporation":false,"usgs":false,"family":"Haidong","given":"Li","email":"","affiliations":[{"id":16818,"text":"Nanjing Institute of Environmental Sciences, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":571045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Thomas J. tom_j_smith@usgs.gov","contributorId":139562,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":571046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koh, Hock L.","contributorId":147292,"corporation":false,"usgs":false,"family":"Koh","given":"Hock","email":"","middleInitial":"L.","affiliations":[{"id":16819,"text":"Office of the DVC for Research & Postgraduate Studies, Kuala Lumpur 56000, Malaysia","active":true,"usgs":false}],"preferred":false,"id":571047,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70145835,"text":"70145835 - 2016 - Habitat suitability criteria via parametric distributions: estimation, model selection and uncertainty","interactions":[],"lastModifiedDate":"2016-06-15T15:58:27","indexId":"70145835","displayToPublicDate":"2015-04-09T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability criteria via parametric distributions: estimation, model selection and uncertainty","docAbstract":"Previous methods for constructing univariate habitat suitability criteria (HSC) curves have ranged from professional judgement to kernel-smoothed density functions or combinations thereof. We present a new method of generating HSC curves that applies probability density functions as the mathematical representation of the curves. Compared with previous approaches, benefits of our method include (1) estimation of probability density function parameters directly from raw data, (2) quantitative methods for selecting among several candidate probability density functions, and (3) concise methods for expressing estimation uncertainty in the HSC curves. We demonstrate our method with a thorough example using data collected on the depth of water used by juvenile Chinook salmon (Oncorhynchus tschawytscha) in the Klamath River of northern California and southern Oregon. All R code needed to implement our example is provided in the appendix. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2900","usgsCitation":"Som, N.A., Goodman, D.H., Perry, R.W., and Hardy, T., 2016, Habitat suitability criteria via parametric distributions: estimation, model selection and uncertainty: River Research and Applications, v. 32, no. 5, p. 1128-1137, https://doi.org/10.1002/rra.2900.","productDescription":"10 p.","startPage":"1128","endPage":"1137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062720","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":299536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.57421875,\n 41.77336007442078\n ],\n [\n -123.57421875,\n 42.259016415705766\n ],\n [\n -121.72302246093749,\n 42.259016415705766\n ],\n [\n -121.72302246093749,\n 41.77336007442078\n ],\n [\n -123.57421875,\n 41.77336007442078\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-27","publicationStatus":"PW","scienceBaseUri":"5527949ce4b026915857c83a","contributors":{"authors":[{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":544452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodman, Damon H.","contributorId":140150,"corporation":false,"usgs":false,"family":"Goodman","given":"Damon","email":"","middleInitial":"H.","affiliations":[{"id":13396,"text":"U.S. Fish and Wildlife Service, Arcata FWO, Arcata, CA 95521","active":true,"usgs":false}],"preferred":false,"id":544453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":544451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Thomas B.","contributorId":62936,"corporation":false,"usgs":true,"family":"Hardy","given":"Thomas B.","affiliations":[],"preferred":false,"id":544454,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145073,"text":"70145073 - 2016 - Hydrologic response of streams restored with check dams in the Chiricahua Mountains, Arizona","interactions":[],"lastModifiedDate":"2016-04-21T10:41:30","indexId":"70145073","displayToPublicDate":"2015-04-03T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic response of streams restored with check dams in the Chiricahua Mountains, Arizona","docAbstract":"In this study, hydrological processes are evaluated to determine impacts of stream restoration in the West Turkey Creek, Chiricahua Mountains, southeast Arizona, during a summer-monsoon season (June–October of 2013). A paired-watershed approach was used to analyze the effectiveness of check dams to mitigate high flows and impact long-term maintenance of hydrologic function. One watershed had been extensively altered by the installation of numerous small check dams over the past 30 years, and the other was untreated (control). We modified and installed a new stream-gauging mechanism developed for remote areas, to compare the water balance and calculate rainfall–runoff ratios. Results show that even 30 years after installation, most of the check dams were still functional. The watershed treated with check dams has a lower runoff response to precipitation compared with the untreated, most notably in measurements of peak flow. Concerns that downstream flows would be reduced in the treated watershed, due to storage of water behind upstream check dams, were not realized; instead, flow volumes were actually higher overall in the treated stream, even though peak flows were dampened. We surmise that check dams are a useful management tool for reducing flow velocities associated with erosion and degradation and posit they can increase baseflow in aridlands.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2895","usgsCitation":"Norman, L.M., Brinkerhoff, F.C., Gwilliam, E., Guertin, D.P., Callegary, J.B., Goodrich, D.C., Nagler, P.L., and Gray, F., 2016, Hydrologic response of streams restored with check dams in the Chiricahua Mountains, Arizona: River Research and Applications, v. 32, no. 4, p. 519-527, https://doi.org/10.1002/rra.2895.","productDescription":"9 p.","startPage":"519","endPage":"527","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054961","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.2895","text":"Publisher Index Page"},{"id":299331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Chiricahua Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.500732421875,\n 31.549282377352668\n ],\n [\n -109.500732421875,\n 32.14771106595571\n ],\n [\n -109.0997314453125,\n 32.14771106595571\n ],\n [\n -109.0997314453125,\n 31.549282377352668\n ],\n [\n -109.500732421875,\n 31.549282377352668\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-21","publicationStatus":"PW","scienceBaseUri":"551fab98e4b027f0aee3bae8","chorus":{"doi":"10.1002/rra.2895","url":"http://dx.doi.org/10.1002/rra.2895","publisher":"Wiley-Blackwell","authors":"Norman L. 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L., Gray F.","journalName":"River Research and Applications","publicationDate":"3/21/2015","auditedOn":"3/17/2016"},"contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":543928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinkerhoff, Fletcher C. fbrinker@usgs.gov","contributorId":5285,"corporation":false,"usgs":true,"family":"Brinkerhoff","given":"Fletcher","email":"fbrinker@usgs.gov","middleInitial":"C.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gwilliam, Evan","contributorId":140052,"corporation":false,"usgs":false,"family":"Gwilliam","given":"Evan","email":"","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":543930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guertin, D. Phillip","contributorId":46062,"corporation":false,"usgs":false,"family":"Guertin","given":"D.","email":"","middleInitial":"Phillip","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":543931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goodrich, David C.","contributorId":65552,"corporation":false,"usgs":false,"family":"Goodrich","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":543935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":543934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179039,"text":"70179039 - 2016 - Sediment budgets, transport, and depositional trends in a large tidal delta","interactions":[],"lastModifiedDate":"2016-12-20T13:28:41","indexId":"70179039","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sediment budgets, transport, and depositional trends in a large tidal delta","docAbstract":"The Sacramento-San Joaquin Delta is the largest delta on the west coast of the United States. It is formed where the confluence of California’s two largest rivers (the Sacramento and San Joaquin) meet the ocean tides and has a significant physical gradient from fluvial to tidal. It is a semidiurnal system (two high and two low tides per day). Today, the Delta is one of the most manipulated in the United States. Once composed of many shallow, meandering and braided dendritic channels and dead-end sloughs and wetlands, it is now a network of leveed canals moving clear water around subsided islands. It historically has supported a biologically diverse tidal wetland complex, of which only 3% remains today (Whipple et al., 2012). It has also witnessed a collapse in the native fish populations. The Delta provides critical habitat for native species, however the hydrology and water quality are complicated by manipulations and diversions to satisfy multiple statewide objectives. Today water managers face co-equal goals of water supply to Californians and maintenance of ecosystem health and function. The Delta is a hub for both a multi-hundred-million dollar agricultural industry and a massive north-to-south water delivery system, supplying the primary source of freshwater to Central Valley farmers and drinking water for two-thirds of California’s population. Large pump facilities support the water demand and draw water from the Delta, further altering circulation patterns and redirecting the net flow toward the export facilities (Monsen et al., 2007). Fluvial sedimentation, along with organic accumulation, creates and sustains the Delta landscape. Hydraulic mining for gold in the watershed during the late 1800s delivered an especially large sediment pulse to the Delta. More recently, from 1955 to the present, a significant sediment decline has been observed that is thought to have been caused mostly by the construction of water storage reservoirs that trap the upstream sediment supply (Wright and Schoellhamer, 2004). Today, one concern is whether the volume of sediment supplied from the upper watershed is sufficient to support ecological function and sustain the Delta landscape and ecosystem in the face of climate change, sea level rise, and proposed restoration associated with the Bay Delta Conservation Plan (http://baydeltaconservationplan.com). Ecosystem health is a management focus and 150,000 acres of restoration is currently proposed, therefore it is of increasingly important to understand the quantity of sediment available for marsh and wetland restoration throughout the Bay Delta Estuary. It is also important to understand the pathways for sediment transport and the sediment budget into each of three Delta regions (figure 1) to guide restoration planning, modeling, and management.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference","conferenceTitle":"Federal Interagency Sedimentation Conference, 10th","conferenceDate":"April 2015","conferenceLocation":"Reno, Nevada","language":"English","publisher":"ACWI Subcommittee on Sedimentation","usgsCitation":"Morgan, T., and Wright, S., 2016, Sediment budgets, transport, and depositional trends in a large tidal delta, in Proceedings of the Joint Federal Interagency Conference, Reno, Nevada, April 2015, p. 893-904.","productDescription":"12 p.","startPage":"893","endPage":"904","ipdsId":"IP-062201","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":332342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332094,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Contents/5C-Morgan-King.pdf"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.54998779296874,\n 38.59326051987162\n ],\n [\n -121.63238525390626,\n 38.49229419236133\n ],\n [\n -121.71478271484375,\n 38.14967752360809\n ],\n [\n -121.84112548828125,\n 38.112949789189614\n ],\n [\n -122.00317382812499,\n 38.18422791820727\n ],\n [\n -122.1514892578125,\n 38.14751758025121\n ],\n [\n -122.15698242187499,\n 38.06539235133249\n ],\n [\n -121.76696777343749,\n 37.96368875328558\n ],\n [\n -121.60491943359375,\n 37.80761398306056\n ],\n [\n -121.47857666015625,\n 37.72293542866175\n ],\n [\n -121.23962402343749,\n 37.783740105227224\n ],\n [\n -121.36322021484374,\n 38.17559185481662\n ],\n [\n -121.48956298828124,\n 38.54816542304656\n ],\n [\n -121.54998779296874,\n 38.59326051987162\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bfe4b01224f329b5ef","contributors":{"authors":[{"text":"Morgan, Tara 0000-0001-5632-5232 tamorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":177451,"corporation":false,"usgs":true,"family":"Morgan","given":"Tara","email":"tamorgan@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173417,"text":"70173417 - 2016 - Synergistic and singular effects of river discharge and lunar illumination on dam passage of upstream migrant yellow-phase American eels","interactions":[],"lastModifiedDate":"2016-06-20T17:35:16","indexId":"70173417","displayToPublicDate":"2015-03-19T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Synergistic and singular effects of river discharge and lunar illumination on dam passage of upstream migrant yellow-phase American eels","docAbstract":"Monitoring of dam passage can be useful for management and conservation assessments of American eel, particularly if passage counts can be examined over multiple years. During a 7-year study (2007–2013) of upstream migration of American eels within the lower Shenandoah River (Potomac River drainage), we counted and measured American eels at the Millville Dam eel pass, where annual study periods were determined by the timing of the eel pass installation during spring or summer and removal during fall. Daily American eel counts were analysed with negative binomial regression models, with and without a year (YR) effect, and with the following time-varying environmental covariates: river discharge of the Shenandoah River at Millville (RDM) and of the Potomac River at Point of Rocks, lunar illumination (LI), water temperature, and cloud cover. A total of 17 161 yellow-phase American eels used the pass during the seven annual periods, and length measurements were obtained from 9213 individuals (mean = 294 mm TL, s.e. = 0.49, range 183–594 mm). Data on passage counts of American eels supported an additive-effects model (YR + LI + RDM) where parameter estimates were positive for river discharge (β = 7.3, s.e. = 0.01) and negative for LI (β = −1.9, s.e. = 0.34). Interestingly, RDM and LI acted synergistically and singularly as correlates of upstream migration of American eels, but the highest daily counts and multiple-day passage events were associated with increased RDM. Annual installation of the eel pass during late spring or summer prevented an early spring assessment, a period with higher RDM relative to those values obtained during sampling periods. Because increases in river discharge are climatically controlled events, upstream migration events of American eels within the Potomac River drainage are likely linked to the influence of climate variability on flow regime.
","language":"English","publisher":"Academic Press","doi":"10.1093/icesjms/fsv052","usgsCitation":"Welsh, S., Aldinger, J.L., Braham, M., and Zimmerman, J.L., 2016, Synergistic and singular effects of river discharge and lunar illumination on dam passage of upstream migrant yellow-phase American eels: ICES Journal of Marine Science, v. 73, no. 1, p. 33-42, https://doi.org/10.1093/icesjms/fsv052.","productDescription":"10 p.","startPage":"33","endPage":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057957","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsv052","text":"Publisher Index Page"},{"id":324051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Potomac River drainage, Shenandoah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.1787109375,\n 38.98076276501633\n ],\n [\n -78.1787109375,\n 39.51675478434244\n ],\n [\n -77.4261474609375,\n 39.51675478434244\n ],\n [\n -77.4261474609375,\n 38.98076276501633\n ],\n [\n -78.1787109375,\n 38.98076276501633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-02","publicationStatus":"PW","scienceBaseUri":"576913ebe4b07657d19ff288","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Joni L.","contributorId":171886,"corporation":false,"usgs":false,"family":"Aldinger","given":"Joni","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Melissa A.","contributorId":140127,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":639936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Jennifer L.","contributorId":171351,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":26870,"text":"West Virginia University, Mortgantown, WV","active":true,"usgs":false}],"preferred":false,"id":639937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145184,"text":"70145184 - 2016 - Assessing juvenile native fish demographic responses to a steady flow experiment in a large regulated river","interactions":[],"lastModifiedDate":"2016-04-21T10:42:39","indexId":"70145184","displayToPublicDate":"2015-03-12T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessing juvenile native fish demographic responses to a steady flow experiment in a large regulated river","docAbstract":"The Colorado River below Glen Canyon Dam, Arizona, is part of an adaptive management programme which optimizes dam operations to improve various resources in the downstream ecosystem within Grand Canyon. Understanding how populations of federally endangered humpback chub Gila cypha respond to these dam operations is a high priority. Here, we test hypotheses concerning temporal variation in juvenile humpback chub apparent survival rates and abundance by comparing estimates between hydropeaking and steady discharge regimes over a 3-year period (July 2009–July 2012). The most supported model ignored flow type (steady vs hydropeaking) and estimated a declining trend in daily apparent survival rate across years (99.90%, 99.79% and 99.67% for 2009, 2010 and 2011, respectively). Corresponding abundance of juvenile humpback chub increased temporally; open population model estimates ranged from 615 to 2802 individuals/km, and closed model estimates ranged from 94 to 1515 individuals/km. These changes in apparent survival and abundance may reflect broader trends, or simply represent inter-annual variation. Important findings include (i) juvenile humpback chub are currently surviving and recruiting in the mainstem Colorado River with increasing abundance; (ii) apparent survival does not benefit from steady fall discharges from Glen Canyon Dam; and (iii) direct assessment of demographic parameters for juvenile endangered fish are possible and can rapidly inform management actions in regulated rivers.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2893","usgsCitation":"Finch, C.G., Pine, W., Yackulic, C.B., Dodrill, M.J., Yard, M., Gerig, B.S., Coggins, and Korman, J., 2016, Assessing juvenile native fish demographic responses to a steady flow experiment in a large regulated river: River Research and Applications, v. 32, no. 4, p. 763-775, https://doi.org/10.1002/rra.2893.","productDescription":"13 p.","startPage":"763","endPage":"775","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053210","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":299383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299381,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/rra.2893/abstract"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-12","publicationStatus":"PW","scienceBaseUri":"5523ae31e4b027f0aee3d125","contributors":{"authors":[{"text":"Finch, Colton G.","contributorId":140061,"corporation":false,"usgs":false,"family":"Finch","given":"Colton","email":"","middleInitial":"G.","affiliations":[{"id":13371,"text":"Dep. of Wildlife Ecology Uni Florida","active":true,"usgs":false}],"preferred":false,"id":544071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pine, William E. 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This area is known as the interior delta, and it has been associated with poor fish survival. Under the rationale that the fish will be diverted in proportion to the amount of water that is diverted, the Delta Cross Channel (DCC) has been prescriptively closed during the winter out-migration to reduce fish entrainment and mortality into the interior delta. The fish are thought to migrate mostly at night, and so daytime operation of the DCC may allow for water diversion that minimizes fish entrainment and mortality. To assess this, the DCC gate was experimentally opened and closed while we released 2983 of the fish with acoustic transmitters upstream of the DCC to monitor their arrival and entrainment into the DCC. We used logistic regression to model night-time arrival and entrainment probabilities with covariates that included the proportion of each diel period with upstream flow, flow, rate of change in flow and water temperature. The proportion of time with upstream flow was the most important driver of night-time arrival probability, yet river flow had the largest effect on fish entrainment into the DCC. Modelling results suggest opening the DCC during daytime while keeping the DCC closed during night-time may allow for water diversion that minimizes fish entrainment into the interior delta.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2885","usgsCitation":"Plumb, J.M., Adams, N.S., Perry, R.W., Holbrook, C., Romine, J.G., Blake, A.R., and Burau, J.R., 2016, Diel activity patterns of juvenile late fall-run Chinook salmon with implications for operation of a gated water diversion in the Sacramento–San Joaquin River Delta: River Research and Applications, v. 32, no. 4, p. 711-720, https://doi.org/10.1002/rra.2885.","productDescription":"10 p.","startPage":"711","endPage":"720","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062660","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":298619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298586,"type":{"id":15,"text":"Index 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storm scenario developed by the U.S. Geological Survey and partners, is estimated. BI stems from losses of building function, productivity of agricultural land, and lifeline services. A dynamic computable general equilibrium model of the California economy is developed to perform this economic consequence analysis. Economic resilience in the form of input and import substitution is inherent in the model’s equilibrium solution, and the model parameterization is adjusted to reflect other forms of resilience such as production recapture. Varying assumptions about the timing and source of funds for reconstruction results in a range of recovery paths. Five years after the storm, flood-induced building damage is the overwhelming source of gross domestic product (GDP) losses, timely and partially externally funded reconstruction mitigates impacts by approximately 50%, and the economy is not guaranteed to return to its baseline GDP trajectory. The methodology serves as a template for assessing the macroeconomic consequences of disasters and the influence of resilience in reducing BI losses.
","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)NH.1527-6996.0000173","usgsCitation":"Wing, I.S., Rose, A., and Wein, A.M., 2016, Economic consequence analysis of the Arkstorm scenario: National Hazards Review, v. 17, no. 4, A4015002, 10 p., https://doi.org/10.1061/(ASCE)NH.1527-6996.0000173.","productDescription":"A4015002, 10 p.","ipdsId":"IP-044963","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471475,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2144/27348","text":"External Repository"},{"id":419475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wing, Ian Sue","contributorId":305987,"corporation":false,"usgs":false,"family":"Wing","given":"Ian","email":"","middleInitial":"Sue","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":874350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Adam","contributorId":305988,"corporation":false,"usgs":false,"family":"Rose","given":"Adam","affiliations":[{"id":13569,"text":"University of Southern Califonria","active":true,"usgs":false}],"preferred":false,"id":874351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M. 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":192951,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":874349,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160803,"text":"70160803 - 2016 - If Arctic charr Salvelinus alpinus is “the most diverse vertebrate,” what is the lake charr Salvelinus namaycush?","interactions":[],"lastModifiedDate":"2016-11-03T16:41:12","indexId":"70160803","displayToPublicDate":"2015-02-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"If Arctic charr Salvelinus alpinus is “the most diverse vertebrate,” what is the lake charr Salvelinus namaycush?","docAbstract":"Teleost fishes are prominent vertebrate models of evolution, illustrated among old-world radiations by the Cichlidae of East African Great Lakes and new-world radiations by the circumpolar Arctic charr Salvelinus alpinus. Herein, we describe variation in lake charr S. namaycush morphology, life history, physiology, and ecology, as another example of radiation. The lake charr is restricted to northern North America, where it originated from glacial refugia and diversified in large lakes. Shallow and deepwater morphs arose in multiple lakes, with a large-bodied shallow-water ‘lean’ morph in shallow inshore depths, a small-bodied mid-water ‘humper’ morph on offshore shoals or banks, and a large-bodied deep-water ‘siscowet’ morph at depths > 100 m. Eye position, gape size, and gillraker length and spacing adapted for feeding on different-sized prey, with piscivorous morphs (leans and siscowets) reaching larger asymptotic size than invertivorous morphs (humpers). Lean morphs are light in color, whereas deepwater morphs are drab and dark, although the pattern is reversed in dark tannic lakes. Morphs shift from benthic to pelagic feeding at a length of 400–490-mm. Phenotypic differences in locomotion, buoyancy, and lipid metabolism evolved into different mechanisms for buoyancy regulation, with lean morphs relying on hydrodynamic lift and siscowet morphs relying on hydrostatic lift. We suggest that the Salvelinus genus, rather than the species S. alpinus, is a diverse genus that should be the subject of comparative studies of processes causing divergence and adaptation among member species that may lead to a more complete evolutionary conceptual model.
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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"56865fc7e4b0e7594ee74ccb","contributors":{"authors":[{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":583958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bronte, Charles R.","contributorId":83050,"corporation":false,"usgs":true,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":583959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":583960,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70140396,"text":"70140396 - 2016 - Linking biophysical models and public preferences for ecosystem service assessments: a case study for the Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2016-09-21T09:05:11","indexId":"70140396","displayToPublicDate":"2015-02-01T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Linking biophysical models and public preferences for ecosystem service assessments: a case study for the Southern Rocky Mountains","docAbstract":"Through extensive research, ecosystem services have been mapped using both survey-based and biophysical approaches, but comparative mapping of public values and those quantified using models has been lacking. In this paper, we mapped hot and cold spots for perceived and modeled ecosystem services by synthesizing results from a social-values mapping study of residents living near the Pike–San Isabel National Forest (PSI), located in the Southern Rocky Mountains, with corresponding biophysically modeled ecosystem services. Social-value maps for the PSI were developed using the Social Values for Ecosystem Services tool, providing statistically modeled continuous value surfaces for 12 value types, including aesthetic, biodiversity, and life-sustaining values. Biophysically modeled maps of carbon sequestration and storage, scenic viewsheds, sediment regulation, and water yield were generated using the Artificial Intelligence for Ecosystem Services tool. Hotspots for both perceived and modeled services were disproportionately located within the PSI’s wilderness areas. Additionally, we used regression analysis to evaluate spatial relationships between perceived biodiversity and cultural ecosystem services and corresponding biophysical model outputs. Our goal was to determine whether publicly valued locations for aesthetic, biodiversity, and life-sustaining values relate meaningfully to results from corresponding biophysical ecosystem service models. We found weak relationships between perceived and biophysically modeled services, indicating that public perception of ecosystem service provisioning regions is limited. We believe that biophysical and social approaches to ecosystem service mapping can serve as methodological complements that can advance ecosystem services-based resource management, benefitting resource managers by showing potential locations of synergy or conflict between areas supplying ecosystem services and those valued by the public.
","language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10113-015-0756-7","usgsCitation":"Bagstad, K.J., Reed, J., Semmens, D.J., Sherrouse, B.C., and Troy, A., 2016, Linking biophysical models and public preferences for ecosystem service assessments: a case study for the Southern Rocky Mountains: Regional Environmental Change, v. 16, no. 7, p. 2005-2018, https://doi.org/10.1007/s10113-015-0756-7.","productDescription":"14 p.","startPage":"2005","endPage":"2018","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053857","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":297828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297817,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s10113-015-0756-7"}],"volume":"16","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-04","publicationStatus":"PW","scienceBaseUri":"54dd2a91e4b08de9379b30fd","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":540028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, James","contributorId":139101,"corporation":false,"usgs":false,"family":"Reed","given":"James","email":"","affiliations":[{"id":12651,"text":"University of Denver","active":true,"usgs":false}],"preferred":false,"id":540029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":540030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":540031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Troy, Austin","contributorId":139102,"corporation":false,"usgs":false,"family":"Troy","given":"Austin","email":"","affiliations":[{"id":12652,"text":"University of Colorado-Denver","active":true,"usgs":false}],"preferred":false,"id":540032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70139559,"text":"70139559 - 2016 - Arsenic cycling in hydrocarbon plumes: secondary effects of natural attenuation","interactions":[],"lastModifiedDate":"2018-08-07T12:22:49","indexId":"70139559","displayToPublicDate":"2015-01-29T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic cycling in hydrocarbon plumes: secondary effects of natural attenuation","docAbstract":"Monitored natural attenuation is widely applied as a remediation strategy at hydrocarbon spill sites. Natural attenuation relies on biodegradation of hydrocarbons coupled with reduction of electron acceptors, including solid phase ferric iron (Fe(III)). Because arsenic (As) adsorbs to Fe-hydroxides, a potential secondary effect of natural attenuation of hydrocarbons coupled with Fe(III) reduction is a release of naturally occurring As to groundwater. At a crude-oil-contaminated aquifer near Bemidji, Minnesota, anaerobic biodegradation of hydrocarbons coupled to Fe(III) reduction has been well documented. We collected groundwater samples at the site annually from 2009 to 2013 to examine if As is released to groundwater and, if so, to document relationships between As and Fe inside and outside of the dissolved hydrocarbon plume. Arsenic concentrations in groundwater in the plume reached 230 µg/L, whereas groundwater outside the plume contained less than 5 µg/L As. Combined with previous data from the Bemidji site, our results suggest that (1) naturally occurring As is associated with Fe-hydroxides present in the glacially derived aquifer sediments; (2) introduction of hydrocarbons results in reduction of Fe-hydroxides, releasing As and Fe to groundwater; (3) at the leading edge of the plume, As and Fe are removed from groundwater and retained on sediments; and (4) downgradient from the plume, patterns of As and Fe in groundwater are similar to background. We develop a conceptual model of secondary As release due to natural attenuation of hydrocarbons that can be applied to other sites where an influx of biodegradable organic carbon promotes Fe(III) reduction.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.12316","usgsCitation":"Cozzarelli, I.M., Schreiber, M.E., Erickson, M., and Ziegler, B.A., 2016, Arsenic cycling in hydrocarbon plumes: secondary effects of natural attenuation: Groundwater Monitoring & Remediation, v. 54, no. 1, p. 35-45, https://doi.org/10.1111/gwat.12316.","productDescription":"11 p.","startPage":"35","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060529","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.12443542480469,\n 47.559268133942446\n ],\n [\n -95.12443542480469,\n 47.58463133843904\n ],\n [\n -95.06916046142578,\n 47.58463133843904\n ],\n [\n -95.06916046142578,\n 47.559268133942446\n ],\n [\n -95.12443542480469,\n 47.559268133942446\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-21","publicationStatus":"PW","scienceBaseUri":"54dd2a56e4b08de9379b2fef","chorus":{"doi":"10.1111/gwat.12316","url":"http://dx.doi.org/10.1111/gwat.12316","publisher":"Wiley-Blackwell","authors":"Cozzarelli Isabelle M., Schreiber Madeline E., Erickson Melinda L., Ziegler Brady A.","journalName":"Groundwater","publicationDate":"1/21/2015","auditedOn":"2/24/2015"},"contributors":{"authors":[{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":539445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":539446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziegler, Brady A.","contributorId":138960,"corporation":false,"usgs":false,"family":"Ziegler","given":"Brady","email":"","middleInitial":"A.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":539448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158920,"text":"70158920 - 2016 - Process, policy, and implementation of pool-wide drawdowns on the Upper Mississippi River: a promising approach for ecological restoration of large impounded rivers","interactions":[],"lastModifiedDate":"2016-03-10T11:16:32","indexId":"70158920","displayToPublicDate":"2015-01-15T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Process, policy, and implementation of pool-wide drawdowns on the Upper Mississippi River: a promising approach for ecological restoration of large impounded rivers","docAbstract":"The Upper Mississippi River (UMR) has been developed and subsequently managed for commercial navigation by the U.S. Army Corps of Engineers (USACE). The navigation pools created by a series of lock and dams initially provided a complex of aquatic habitats that supported a variety of fish and wildlife. However, biological productivity declined as the pools aged. The River Resources Forum, an advisory body to the St. Paul District of the USACE, established a multiagency Water Level Management Task Force (WLMTF) to evaluate the potential of water level management to improve ecological function and restore the distribution and abundance of fish and wildlife habitat. The WLMTF identified several water level management options and concluded that summer growing season drawdowns at the pool scale offered the greatest potential to provide habitat benefits over a large area. Here we summarize the process followed to plan and implement pool-wide drawdowns on the UMR, including involvement of stakeholders in decision making, addressing requirements to modify reservoir operating plans, development and evaluation of drawdown alternatives, pool selection, establishment of a monitoring plan, interagency coordination, and a public information campaign. Three pool-wide drawdowns were implemented within the St. Paul District and deemed successful in providing ecological benefits without adversely affecting commercial navigation and recreational use of the pools. Insights are provided based on more than 17 years of experience in planning and implementing drawdowns on the UMR.
","language":"English","publisher":"John Wiley & Sons, Ltd.","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2857","usgsCitation":"Kenow, K.P., Benjamin, G., Schlagenhaft, T., Nissen, R., Stefanski, M., Wege, G., Jutila, S.A., and Newton, T.J., 2016, Process, policy, and implementation of pool-wide drawdowns on the Upper Mississippi River: a promising approach for ecological restoration of large impounded rivers: River Research and Applications, v. 32, no. 3, p. 295-308, https://doi.org/10.1002/rra.2857.","productDescription":"14 p.","startPage":"295","endPage":"308","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054219","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":309715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-15","publicationStatus":"PW","scienceBaseUri":"56164258e4b0ba4884c614b0","chorus":{"doi":"10.1002/rra.2857","url":"http://dx.doi.org/10.1002/rra.2857","publisher":"Wiley-Blackwell","authors":"Kenow K. P., Benjamin G. L., Schlagenhaft T. W., Nissen R. A., Stefanski M., Wege G. J., Jutila S. A., Newton T. J.","journalName":"River Research and Applications","publicationDate":"1/15/2015","auditedOn":"2/18/2015"},"contributors":{"authors":[{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benjamin, Gretchen","contributorId":149085,"corporation":false,"usgs":false,"family":"Benjamin","given":"Gretchen","email":"","affiliations":[{"id":17634,"text":"The Nature Conservancy, Great Rivers Partnership","active":true,"usgs":false}],"preferred":false,"id":576865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlagenhaft, Tim","contributorId":149086,"corporation":false,"usgs":false,"family":"Schlagenhaft","given":"Tim","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":576866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nissen, Ruth","contributorId":149087,"corporation":false,"usgs":false,"family":"Nissen","given":"Ruth","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":576867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stefanski, Mary","contributorId":149088,"corporation":false,"usgs":false,"family":"Stefanski","given":"Mary","email":"","affiliations":[{"id":17635,"text":"U. S. Fish and Wildlife Service, Upper Mississippi River National Wildlife and Fish Refuge","active":true,"usgs":false}],"preferred":false,"id":576868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wege, Gary","contributorId":149089,"corporation":false,"usgs":false,"family":"Wege","given":"Gary","email":"","affiliations":[{"id":17636,"text":"U. S. Fish and Wildlife Service, Ecological Services Field Office, Bloomington, MN","active":true,"usgs":false}],"preferred":false,"id":576869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jutila, Scott A.","contributorId":149090,"corporation":false,"usgs":false,"family":"Jutila","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":17637,"text":"U. S. Army Corps of Engineers, St. Paul District","active":true,"usgs":false}],"preferred":false,"id":576870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newton, Teresa J. 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":2470,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":576871,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70140710,"text":"70140710 - 2016 - Survival, growth, and movement of subadult humpback chub, Gila cypha, in the Little Colorado River, Arizona","interactions":[],"lastModifiedDate":"2016-03-10T10:49:48","indexId":"70140710","displayToPublicDate":"2014-12-20T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Survival, growth, and movement of subadult humpback chub, Gila cypha, in the Little Colorado River, Arizona","docAbstract":"Ecologists estimate vital rates, such as growth and survival, to better understand population dynamics and identify sensitive life history parameters for species or populations of concern. Here, we assess spatiotemporal variation in growth, movement, density, and survival of subadult humpback chub living in the Little Colorado River, Grand Canyon, AZ from 2001–2002 and 2009–2013. We divided the Little Colorado River into three reaches and used a multistate mark-recapture model to determine rates of movement and differences in survival and density between sites for different cohorts. Additionally, site-specific and year-specific effects on growth were evaluated using a linear model. Results indicate that summer growth was higher for upstream sites compared with downstream sites. In contrast, there was not a consistent spatial pattern across years in winter growth; however, river-wide winter growth was negatively related to the duration of floods from 1 October to 15 May. Apparent survival was estimated to be lower at the most downstream site compared with the upstream sites; however, this could be because in part of increased emigration into the Colorado River at downstream sites. Furthermore, the 2010 cohort (i.e. fish that are age 1 in 2010) exhibited high apparent survival relative to other years. Movement between reaches varied with year, and some years exhibited preferential upstream displacement. Improving understanding of spatiotemporal effects on age 1 humpback chub survival can help inform current management efforts to translocate humpback chub into new locations and give us a better understanding of the factors that may limit this tributary's carrying capacity for humpback chub.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2864","usgsCitation":"Dzul, M.C., Yackulic, C.B., Stone, D.M., and Van Haverbeke, D., 2016, Survival, growth, and movement of subadult humpback chub, Gila cypha, in the Little Colorado River, Arizona: River Research and Applications, v. 32, no. 3, p. 373-382, https://doi.org/10.1002/rra.2864.","productDescription":"10 p.","startPage":"373","endPage":"382","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055773","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":297900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Little Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.83258056640625,\n 36.144528857027744\n ],\n [\n -111.83258056640625,\n 36.2265501474709\n ],\n [\n -111.68838500976562,\n 36.2265501474709\n ],\n [\n -111.68838500976562,\n 36.144528857027744\n ],\n [\n -111.83258056640625,\n 36.144528857027744\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-20","publicationStatus":"PW","scienceBaseUri":"54dd2abbe4b08de9379b31b3","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Dennis M.","contributorId":58237,"corporation":false,"usgs":false,"family":"Stone","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":540385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":540386,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157260,"text":"70157260 - 2016 - Urban sprawl as a risk factor in motor vehicle crashes","interactions":[],"lastModifiedDate":"2016-07-11T15:45:27","indexId":"70157260","displayToPublicDate":"2014-12-01T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3844,"text":"Urban Studies","active":true,"publicationSubtype":{"id":10}},"title":"Urban sprawl as a risk factor in motor vehicle crashes","docAbstract":"A decade ago, compactness/sprawl indices were developed for metropolitan areas and counties which have been widely used in health and other research. In this study, we first update the original county index to 2010, then develop a refined index that accounts for more relevant factors, and finally seek to test the relationship between sprawl and traffic crash rates using structural equation modelling. Controlling for covariates, we find that sprawl is associated with significantly higher direct and indirect effects on fatal crash rates. The direct effect is likely due to the higher traffic speeds in sprawling areas, and the indirect effect is due to greater vehicle miles driven in such areas. Conversely, sprawl has negative direct relationships with total crashes and non-fatal injury crashes, and these offset (and sometimes overwhelm) the positive indirect effects of sprawl on both types of crashes through the mediating effect of increased vehicle miles driven. The most likely explanation is the greater prevalence of fender benders and other minor accidents in the low speed, high conflict traffic environments of compact areas, negating the lower vehicle miles travelled per capita in such areas.
","language":"English","publisher":"Sage Journals","publisherLocation":"Beverly Hills, CA","doi":"10.1177/0042098014562331","usgsCitation":"Ewing, R., Hamidi, S., and Grace, J.B., 2016, Urban sprawl as a risk factor in motor vehicle crashes: Urban Studies, v. 53, no. 2, p. 247-266, https://doi.org/10.1177/0042098014562331.","productDescription":"20 p.","startPage":"247","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059382","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":308176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-08","publicationStatus":"PW","scienceBaseUri":"55fa92d6e4b05d6c4e501ae3","contributors":{"authors":[{"text":"Ewing, Reid","contributorId":106010,"corporation":false,"usgs":true,"family":"Ewing","given":"Reid","affiliations":[],"preferred":false,"id":572457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":572458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":572456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176213,"text":"70176213 - 2016 - Aptian ‘Shale Gas’ Prospectivity in the Downdip Mississippi Interior Salt Basin, Gulf Coast, USA","interactions":[],"lastModifiedDate":"2016-09-01T16:02:44","indexId":"70176213","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Aptian ‘Shale Gas’ Prospectivity in the Downdip Mississippi Interior Salt Basin, Gulf Coast, USA","docAbstract":"This study evaluates regional ‘shale gas’ prospectivity of the Aptian section (primarily Pine Island Shale) in the downdip Mississippi Salt Basin (MSB). Previous work by the U.S. Geological Survey estimated a mean undiscovered gas resource of 8.8 trillion cubic feet (TCF) in the chronostratigraphic-equivalent Pearsall Formation in the Maverick Basin of south Texas, where industry has established a moderately successful horizontal gas and liquids play. Wells penetrating the downdip MSB Aptian section at depths of 12,000-15,000 ft were used to correlate formation tops in a 15-well cross-section extending about 200 miles (mi) east-southeastward from Adams Co. to Jackson Co. Legacy cuttings from these wells were analyzed for thermal maturity and source rock quality. Bitumen reflectance (n=53) increases with increasing present-day burial depth in the east-central study area from 1.0% to 1.7%. As the Aptian section shallows in Adams Co. to the west, bitumen Ro values are higher (1.7-2.0%), either from relatively greater heat flux or greater mid-Cenomanian uplift and erosion in this area. Total organic carbon (TOC) content ranges 0.01-1.21 and averages 0.5 wt.% (n=51); pyrolysis output (S2; n=51) averages 0.40 mg HC/g rock, indicating little present-day hydrocarbon-generative potential. Bitumen reflectance is preferred as a thermal maturity parameter as Tmax values are unreliable. Normalized X-ray diffraction (XRD) mineral analyses (n=26) indicate high average clay abundance (53 wt.%) relative to quartz (29%) and carbonate (18%). Mineral content shows a spatial relationship to an Appalachian orogen clastic sediment source, with proximal high clay and quartz and distal high carbonate content. Clastic influx from the Appalachian orogen is confirmed by detrital zircon U-Pb ages with dominant Grenville and Paleozoic components [105 ages from a Rodessa sandstone and 112 ages from a Paluxy (Albian) sandstone]. Preliminary information from fluid inclusion microthermometry (41 aqueous measurements from calcite cements in one argillaceous James Limestone sample) indicates homogenization temperatures (Th) of 120-135°C, consistent with present-day bottom-hole conditions and measured bitumen Ro values towards the western end of the MSB. Downdip in the central MSB, microthermometry (26 aqueous measurements from quartz dust rims in one Paluxy sandstone sample) and measured bitumen Ro values indicate maximum temperatures may have been significantly higher (~25°C) than present-day conditions. High inclusion salinities (15-25 wt.% salt) at both locations suggest interaction of pore fluids with evaporites. Mercury injection capillary pressure (MICP) analyses (n=3) indicate porosity ranges 1.3-2.1% and permeability 0.006-0.02 µD for Pine Island and Rodessa shales. Overall, results from this work indicate generally poor ‘shale gas’ prospectivity compared to other shale reservoirs based primarily on depth, low organic content, low porosity, and high clay content. However, thickness and thermal maturity are appropriate, moderate reservoir pressures are present, and petroleum systems modelling by others has indicated high undiscovered gas potential for the basin as a whole.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Unconventional Resources Technology Conference","conferenceDate":"August 25-27, 2014","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.15530/urtec-2014-1922696","usgsCitation":"Hackley, P.C., Valentine, B.J., Enomoto, C.B., Lohr, C., Scott, K., Dulong, F.T., and Bove, A.M., 2016, Aptian ‘Shale Gas’ Prospectivity in the Downdip Mississippi Interior Salt Basin, Gulf Coast, USA, in Unconventional Resources Technology Conference Proceedings, Denver, CO, August 25-27, 2014, 9 p., https://doi.org/10.15530/urtec-2014-1922696.","productDescription":"9 p.","ipdsId":"IP-056651","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512ae4b0f2f0cec15bdb","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":647822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, Krystina R.","contributorId":174239,"corporation":false,"usgs":false,"family":"Scott","given":"Krystina R.","affiliations":[{"id":27398,"text":"Former EERSC student hire","active":true,"usgs":false}],"preferred":false,"id":647825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bove, Alana M. above@usgs.gov","contributorId":4987,"corporation":false,"usgs":true,"family":"Bove","given":"Alana","email":"above@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647827,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70134239,"text":"70134239 - 2016 - Atlantic salmon, Salmo salar L. are broadly susceptible to isolates representing the North American genogroups of infectious hematopoietic necrosis virus","interactions":[],"lastModifiedDate":"2015-12-14T13:26:46","indexId":"70134239","displayToPublicDate":"2014-11-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic salmon, Salmo salar L. are broadly susceptible to isolates representing the North American genogroups of infectious hematopoietic necrosis virus","docAbstract":"Beginning in 1992, three epidemic waves of infectious hematopoietic necrosis, often with high mortality, occurred in farmed Atlantic salmon Salmo salar L. on the west coast of North America. We compared the virulence of eleven strains of infectious hematopoietic necrosis virus (IHNV), representing the U, M and L genogroups, in experimental challenges of juvenile Atlantic salmon in freshwater. All strains caused mortality and there was wide variation within genogroups: cumulative mortality for five U-group strains ranged from 20 to 100%, four M-group strains ranged 30-63% and two L-group strains varied from 41 to 81%. Thus, unlike Pacific salmonids, there was no apparent correlation of virulence in a particular host species with virus genogroup. The mortality patterns indicated two different phenotypes in terms of kinetics of disease progression and final per cent mortality, with nine strains having moderate virulence and two strains (from the U and L genogroups) having high virulence. These phenotypes were investigated by histopathology and immunohistochemistry to describe the variation in the course of IHNV disease in Atlantic salmon. The results from this study demonstrate that IHNV may become a major threat to farmed Atlantic salmon in other regions of the world where the virus has been, or may be, introduced.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12323","usgsCitation":"Kurath, G., Winton, J., Dale, O.B., Purcell, M., Falk, K., and Busch, R.D., 2016, Atlantic salmon, Salmo salar L. are broadly susceptible to isolates representing the North American genogroups of infectious hematopoietic necrosis virus: Journal of Fish Diseases, v. 39, no. 1, p. 55-67, https://doi.org/10.1111/jfd.12323.","productDescription":"13 p.","startPage":"55","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058613","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":296395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-11-07","publicationStatus":"PW","scienceBaseUri":"547ee2bbe4b09357f05f8a3f","contributors":{"authors":[{"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":525742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, James R. jwinton@usgs.gov","contributorId":127569,"corporation":false,"usgs":true,"family":"Winton","given":"James R.","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":525743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Ole B.","contributorId":127582,"corporation":false,"usgs":false,"family":"Dale","given":"Ole","email":"","middleInitial":"B.","affiliations":[{"id":7064,"text":"Norwegian Veterinary Institute, Ullevalsveien 68, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":525744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":526157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falk, Knut","contributorId":127652,"corporation":false,"usgs":false,"family":"Falk","given":"Knut","email":"","affiliations":[{"id":7064,"text":"Norwegian Veterinary Institute, Ullevalsveien 68, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":526158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Busch, Robert D.","contributorId":48217,"corporation":false,"usgs":true,"family":"Busch","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":525745,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70154886,"text":"70154886 - 2016 - Natural flow regimes of the Ozark-Ouachita Interior Highlands region","interactions":[],"lastModifiedDate":"2016-01-11T10:40:54","indexId":"70154886","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Natural flow regimes of the Ozark-Ouachita Interior Highlands region","docAbstract":"Natural flow regimes represent the hydrologic conditions to which native aquatic organisms are best adapted. We completed a regional river classification and quantitative descriptions of each natural flow regime for the Ozark–Ouachita Interior Highlands region of Arkansas, Missouri and Oklahoma. On the basis of daily flow records from 64 reference streams, seven natural flow regimes were identified with mixture model cluster analysis: Groundwater Stable, Groundwater, Groundwater Flashy, Perennial Runoff, Runoff Flashy, Intermittent Runoff and Intermittent Flashy. Sets of flow metrics were selected that best quantified nine ecologically important components of these natural flow regimes. An uncertainty analysis was performed to avoid selecting metrics strongly affected by measurement uncertainty that can result from short periods of record. Measurement uncertainties (bias, precision and accuracy) were assessed for 170 commonly used flow metrics. The ranges of variability expected for select flow metrics under natural conditions were quantified for each flow regime to provide a reference for future assessments of hydrologic alteration. A random forest model was used to predict the natural flow regimes of all stream segments in the study area based on climate and catchment characteristics, and a map was produced. The geographic distribution of flow regimes suggested distinct ecohydrological regions that may be useful for conservation planning. This project provides a hydrologic foundation for future examination of flow–ecology relationships in the region. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2838","usgsCitation":"Leasure, D.R., Magoulick, D.D., and Longing, S., 2016, Natural flow regimes of the Ozark-Ouachita Interior Highlands region: River Research and Applications, v. 32, no. 1, p. 18-35, https://doi.org/10.1002/rra.2838.","productDescription":"18 p.","startPage":"18","endPage":"35","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052517","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.16455078125,\n 33.08233672856376\n ],\n [\n -91.16455078125,\n 33.742612777346885\n ],\n [\n -90.50537109375,\n 34.79576153473033\n ],\n [\n -89.80224609374999,\n 35.97800618085568\n ],\n [\n -90.3076171875,\n 36.01356058518153\n ],\n [\n -90.087890625,\n 36.35052700542763\n ],\n [\n -90.19775390625,\n 36.491973470593685\n ],\n [\n -90.72509765625,\n 36.491973470593685\n ],\n [\n -90.4833984375,\n 37.19533058280065\n ],\n [\n -90.24169921875,\n 37.33522435930641\n ],\n [\n -90.3955078125,\n 37.82280243352756\n ],\n [\n -90.3515625,\n 38.22091976683121\n ],\n [\n -90.63720703125,\n 38.35888785866677\n ],\n [\n -91.42822265625,\n 38.39333888832238\n ],\n [\n -92.57080078125,\n 38.28993659801203\n ],\n [\n -92.8125,\n 38.496593518947556\n ],\n [\n -93.22998046875,\n 38.51378825951165\n ],\n [\n -93.515625,\n 38.34165619279593\n ],\n [\n -93.93310546875,\n 38.03078569382294\n ],\n [\n -94.0869140625,\n 37.61423141542417\n ],\n [\n -94.0869140625,\n 37.33522435930641\n ],\n [\n -94.6142578125,\n 37.317751851636906\n ],\n [\n -94.8779296875,\n 37.00255267215955\n ],\n [\n -95.11962890625,\n 36.61552763134925\n ],\n [\n -95.2734375,\n 36.31512514748051\n ],\n [\n -95.47119140625,\n 36.12012758978146\n ],\n [\n -95.69091796875,\n 35.97800618085568\n ],\n [\n -95.80078125,\n 35.67514743608467\n ],\n [\n -95.49316406249999,\n 35.28150065789119\n ],\n [\n -95.51513671875,\n 34.95799531086792\n ],\n [\n -95.91064453125,\n 34.867904962568716\n ],\n [\n -96.48193359375,\n 34.70549341022544\n ],\n [\n -96.48193359375,\n 34.397844946449865\n ],\n [\n -95.888671875,\n 34.17999758688084\n ],\n [\n -94.482421875,\n 34.14363482031264\n ],\n [\n -94.46044921875,\n 33.5963189611327\n ],\n [\n -94.10888671875,\n 33.54139466898275\n ],\n [\n -94.04296874999999,\n 32.99023555965106\n ],\n [\n -91.16455078125,\n 33.08233672856376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"55a78438e4b0183d66e45e92","contributors":{"authors":[{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longing, S. 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Our objectives were to determine movement of smallmouth bass (Micropterus dolomieu) that use thermal refuge and project differences in growth and consumption among smallmouth bass exhibiting different thermal-use patterns. We implanted radio transmitters in 29 smallmouth bass captured in Alley Spring on the Jacks Fork River, Missouri, USA, during the winter of 2012. Additionally, temperature archival tags were implanted in a subset of nine fish. Fish were tracked using radio telemetry monthly from January 2012 through January of 2013. The greatest upstream movement was 42.5 km, and the greatest downstream movement was 22.2 km. Most radio tagged fish (69%) departed Alley Spring when daily maximum river water temperature first exceeded that of the spring (14 °C) and during increased river discharge. Bioenergetic modelling predicted that a 350 g migrating smallmouth bass that used cold-period thermal refuge would grow 16% slower at the same consumption level as a fish that did not seek thermal refuge. Contrary to the bioenergetics models, extrapolation of growth scope results suggested migrating fish grow 29% more than fish using areas of stream with little groundwater influence. Our results contradict previous findings that smallmouth bass are relatively sedentary, provide information about potential cues for migratory behaviour, and give insight to managers regarding use and growth of smallmouth bass in thermally heterogeneous river systems.
","language":"English","publisher":"Consejo Superior de Investigaciones Científicas","publisherLocation":"Copenhagen","doi":"10.1111/eff.12192","usgsCitation":"Westhoff, J.T., Paukert, C.P., Ettinger-Dietzel, S., Dodd, H., and Siepker, M., 2016, Behavioural thermoregulation and bioenergetics of riverine smallmouth bass associated with ambient cold-period thermal refuge: Ecology of Freshwater Fish, v. 25, no. 1, p. 72-85, https://doi.org/10.1111/eff.12192.","productDescription":"14 p.","startPage":"72","endPage":"85","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057844","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Alley Spring, Jacks Fork River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.44968032836914,\n 37.14232451283733\n ],\n [\n -91.44968032836914,\n 37.157306770819574\n ],\n [\n -91.4271068572998,\n 37.157306770819574\n ],\n [\n -91.4271068572998,\n 37.14232451283733\n ],\n [\n -91.44968032836914,\n 37.14232451283733\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-09","publicationStatus":"PW","scienceBaseUri":"55a4e132e4b0183d66e45380","chorus":{"doi":"10.1111/eff.12192","url":"http://dx.doi.org/10.1111/eff.12192","publisher":"Wiley-Blackwell","authors":"Westhoff Jacob T., Paukert Craig, Ettinger-Dietzel Sarah, Dodd Hope, Siepker Michael","journalName":"Ecology of Freshwater Fish","publicationDate":"10/9/2014","auditedOn":"11/10/2014"},"contributors":{"authors":[{"text":"Westhoff, Jacob T.","contributorId":58106,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":564691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ettinger-Dietzel, Sarah","contributorId":145582,"corporation":false,"usgs":false,"family":"Ettinger-Dietzel","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":564692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodd, H.R.","contributorId":10507,"corporation":false,"usgs":true,"family":"Dodd","given":"H.R.","email":"","affiliations":[],"preferred":false,"id":564693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siepker, Michael","contributorId":145583,"corporation":false,"usgs":false,"family":"Siepker","given":"Michael","email":"","affiliations":[],"preferred":false,"id":564694,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70121536,"text":"fs20143079 - 2016 - The 3D Elevation Program: summary for Hawaii","interactions":[],"lastModifiedDate":"2017-01-30T15:58:06","indexId":"fs20143079","displayToPublicDate":"2014-09-12T16:30:00","publicationYear":"2016","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":"2014-3079","title":"The 3D Elevation Program: summary for Hawaii","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Hawaii, elevation data are critical for infrastructure and construction management, flood risk management, geologic resource assessment and hazard mitigation, natural resources conservation, coastal zone management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, U.S. territorial, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States, Hawaii, and selected U.S. territories, and quality level 5 interferometric synthetic aperture radar (IfSAR) data for Alaska, all with a 6- to 10-year acquisition cycle, provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other three-dimensional (3D) representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143079","usgsCitation":"Carswell, W., 2016, The 3D Elevation Program: summary for Hawaii (Version 1: Originally posted September 12, 2014; Version 1.1: February 2016): U.S. Geological Survey Fact Sheet 2014-3079, 2 p., https://doi.org/10.3133/fs20143079.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057032","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":293834,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3079/pdf/fs20143079.pdf","size":"301 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2014-3079"},{"id":293835,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2014/3079/images/coverthb4.jpg"},{"id":317987,"type":{"id":25,"text":"Version 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\"}}]}","edition":"Version 1: Originally posted September 12, 2014; Version 1.1: February 2016","contact":"Director, National Geospatial Program
U.S. Geological Survey
511 National Center
Reston, VA 20192
http://www.usgs.gov/ngpo/
http://nationalmap.gov/3DEP/
The southeastern USA is home to one of the richest—and most imperiled and threatened—freshwater fish assemblages in North America. For many of these rare and threatened species, conservation efforts are often limited by a lack of data. Drawing on a unique and extensive data set spanning over 20 years, we modeled occurrence probabilities of 126 stream fish species sampled throughout North Carolina, many of which occur more broadly in the southeastern USA. Specifically, we developed species-specific occurrence probabilities from hierarchical Bayesian multispecies models that were based on common land use and land cover covariates. We also used index of biotic integrity tolerance classifications as a second level in the model hierarchy; we identify this level as informative for our work, but it is flexible for future model applications. Based on the partial-pooling property of the models, we were able to generate occurrence probabilities for many imperiled and data-poor species in addition to highlighting a considerable amount of occurrence heterogeneity that supports species-specific investigations whenever possible. Our results provide critical species-level information on many threatened and imperiled species as well as information that may assist with re-evaluation of existing management strategies, such as the use of surrogate species. Finally, we highlight the use of a relatively simple hierarchical model that can easily be generalized for similar situations in which conventional models fail to provide reliable estimates for data-poor groups.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2014.931745","usgsCitation":"Midway, S., Wagner, T., and Tracy, B., 2016, A hierarchical community occurrence model for North Carolina stream fish: Transactions of the American Fisheries Society, v. 143, no. 5, p. 1348-1357, https://doi.org/10.1080/00028487.2014.931745.","productDescription":"10 p.","startPage":"1348","endPage":"1357","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052105","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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kilometers of seafloor from the New England Seamounts in the north to the Blake Basin in the south is compiled from existing multibeam bathymetric data for marine geological investigations. Although other terrain models of the same area are extant, they are produced from either satellite-derived bathymetry at coarse resolution (ETOPO1), or use older bathymetric data collected by using a combination of single beam and multibeam sonars (Coastal Relief Model). The new multibeam data used to produce this terrain model have been edited by using hydrographic data processing software to maximize the quality, usability, and cartographic presentation of the combined 100-meter resolution grid. The final grid provides the largest high-resolution, seamless terrain model of the Atlantic margin..
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384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543-1598
http://woodshole.er.usgs.gov/
Monitoring to detect temporal trends in biological and habitat indices is a critical component of fisheries management. Thus, it is important that management objectives are linked to monitoring objectives. This linkage requires a definition of what constitutes a management-relevant “temporal trend.” It is also important to develop expectations for the amount of time required to detect a trend (i.e., statistical power) and for choosing an appropriate statistical model for analysis. We provide an overview of temporal trends commonly encountered in fisheries management, review published studies that evaluated statistical power of long-term trend detection, and illustrate dynamic linear models in a Bayesian context, as an additional analytical approach focused on shorter term change. We show that monitoring programs generally have low statistical power for detecting linear temporal trends and argue that often management should be focused on different definitions of trends, some of which can be better addressed by alternative analytical approaches.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2013.799466","usgsCitation":"Wagner, T., Irwin, B.J., Bence, J.R., and Daniel B. Hayes, 2016, Detecting temporal change in freshwater fisheries surveys: statistical power and the important linkages between management questions and monitoring objectives: Fisheries, v. 38, no. 7, p. 309-319, https://doi.org/10.1080/03632415.2013.799466.","productDescription":"11 p.","startPage":"309","endPage":"319","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038862","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-11","publicationStatus":"PW","scienceBaseUri":"5757f032e4b04f417c24da47","contributors":{"authors":[{"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":637159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bence, James R.","contributorId":171360,"corporation":false,"usgs":false,"family":"Bence","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":637161,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Daniel B. Hayes","contributorId":171359,"corporation":false,"usgs":false,"family":"Daniel B. Hayes","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":637160,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ]}