The purpose of this application, under Article 23.9.3, is to conserve current usage of the well-established genus-group name Cryptodacus Hendel, 1914 for a genus of Neotropical fruit flies by suppression of the earlier, unused name Cryptodacus Gundlach, 1862, currently a junior synonym of Arrhyton Günther, 1858, a genus of snakes, under the plenary power of the Commission, in the interest of nomenclatural stability. Cryptodacus Gundlach has not been used as a valid name since 1883, whereas Cryptodacus Hendel has been used in a significant body of literature relating to fruit fly systematics, morphology and phylogeny and is the currently used name in various name and molecular databases.
","language":"English","publisher":"International Trust for Zoological Nomenclature","doi":"10.21805/bzn.v72i3.a12","usgsCitation":"Norrbom, A.L., McDiarmid, R.W., Chen, X., David, J., De Meyer, M., Freidberg, A., Han, H., Hancock, D., Steck, G.J., Thompson, F.R., White, I., and Zucchi, R.A., 2015, Case 3693 Cryptodacus Hendel, 1914 (Insecta: Diptera: Tephritidae): Proposed suppression of Cryptodacus Gundlach, 1862 (Reptilia, Serpentes, Colubridae): Bulletin of Zoological Nomenclature, v. 72, no. 3, p. 204-208, https://doi.org/10.21805/bzn.v72i3.a12.","productDescription":"5 p.","startPage":"204","endPage":"208","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067106","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471793,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/378187","text":"External Repository"},{"id":326303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aafeeae4b05e859be0f082","contributors":{"authors":[{"text":"Norrbom, Allen L.","contributorId":173559,"corporation":false,"usgs":false,"family":"Norrbom","given":"Allen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":645082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Xiao-Lin","contributorId":173560,"corporation":false,"usgs":false,"family":"Chen","given":"Xiao-Lin","email":"","affiliations":[],"preferred":false,"id":645083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, J.","contributorId":60915,"corporation":false,"usgs":true,"family":"David","given":"J.","email":"","affiliations":[],"preferred":false,"id":645084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De Meyer, Marc","contributorId":173561,"corporation":false,"usgs":false,"family":"De Meyer","given":"Marc","email":"","affiliations":[],"preferred":false,"id":645085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freidberg, Amnon","contributorId":173562,"corporation":false,"usgs":false,"family":"Freidberg","given":"Amnon","email":"","affiliations":[],"preferred":false,"id":645086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Han, Ho-Yeon","contributorId":173563,"corporation":false,"usgs":false,"family":"Han","given":"Ho-Yeon","email":"","affiliations":[],"preferred":false,"id":645087,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hancock, David","contributorId":245825,"corporation":false,"usgs":false,"family":"Hancock","given":"David","email":"","affiliations":[],"preferred":false,"id":807070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steck, Gary J.","contributorId":173564,"corporation":false,"usgs":false,"family":"Steck","given":"Gary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":645088,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thompson, Frank R. 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Winds off Huntington Beach CA are the dominant forcing for currents over the nearshore region of the shelf (water depths less than 20 m). Winds control about 50–70% of the energy in nearshore alongshelf surface currents. The wind-driven current amplitudes are also anomalously high. For a relatively weak 1 dyne/cm2 wind stress, the alongshelf surface current amplitudes in this region can reach 80 cm/s or more. Mid-depth current amplitudes for the same wind stress are around 30–40 cm/s. These wind-driven surface current amplitudes are much larger than previously measured over other nearshore shelf regions, perhaps because this program is one of the few that measured currents within a meter of the surface. The near-bed cross-shelf currents over the nearshore region of the Huntington Beach shelf have an Ekman response to winds in that they upwell (downwell) for down (up) coast winds. This response disappears further offshore. Hence, there is upwelling in the SCB, but it does not occur across the entire shelf. Subthermocline water in the nearshore region that may contain nutrients and plankton move onshore when winds are southeastward, but subthermocline water over the shelf break is not transported to the beach. The currents over the outer shelf are not predominately controlled by winds, consistent with previous reports. Instead, they are mainly driven by cross-shelf pressure gradients that are independent of local wind stress.
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\"}}]}","volume":"106","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5790a190e4b030378fb47461","contributors":{"authors":[{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":642977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":642978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, George L.","contributorId":58199,"corporation":false,"usgs":true,"family":"Robertson","given":"George","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":642979,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159975,"text":"70159975 - 2015 - Prospective HyspIRI global observations of tidal wetlands","interactions":[],"lastModifiedDate":"2015-12-07T13:18:57","indexId":"70159975","displayToPublicDate":"2015-09-15T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Prospective HyspIRI global observations of tidal wetlands","docAbstract":"Tidal wetlands are highly productive and act as critical habitat for a wide variety of plants, fish, shellfish, and other wildlife. These ecotones between aquatic and terrestrial environments also provide protection from storm damage, run-off filtering, and recharge of aquifers. Many wetlands along coasts have been exposed to stress-inducing alterations globally, including dredge and fill operations, hydrologic modifications, pollutants, impoundments, fragmentation by roads/ditches, and sea level rise. For wetland protection and sensible coastal development, there is a need to monitor these ecosystems at global and regional scales. Recent advances in satellite sensor design and data analysis are providing practical methods for monitoring natural and man-made changes in wetlands. However, available satellite remote sensors have been limited to mapping primarily wetland location and extent. This paper describes how the HyspIRI hyperspectral and thermal infrared sensors can be used to study and map key ecological properties, such as species composition, biomass, hydrology, and evapotranspiration of tidal salt and brackish marshes and mangroves, and perhaps other major wetland types, including freshwater marshes and wooded/shrub wetlands.
","language":"English","publisher":"American Elsevier Pub. Co","publisherLocation":"New York, NY","doi":"10.1016/j.rse.2015.05.008","usgsCitation":"Kevin Turpie, Klemas, V., Byrd, K.B., Kelly, M., and Jo, Y., 2015, Prospective HyspIRI global observations of tidal wetlands: Remote Sensing of Environment, v. 167, p. 206-217, https://doi.org/10.1016/j.rse.2015.05.008.","productDescription":"12 p.","startPage":"206","endPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059690","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/2hw3t446","text":"External Repository"},{"id":312010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbece4b06a3ea36c8b40","contributors":{"authors":[{"text":"Kevin Turpie","contributorId":150358,"corporation":false,"usgs":false,"family":"Kevin Turpie","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":581399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemas, Victor","contributorId":150359,"corporation":false,"usgs":false,"family":"Klemas","given":"Victor","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":581400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Maggi","contributorId":150360,"corporation":false,"usgs":false,"family":"Kelly","given":"Maggi","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":581401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jo, Young-Heon","contributorId":150361,"corporation":false,"usgs":false,"family":"Jo","given":"Young-Heon","email":"","affiliations":[{"id":18010,"text":"Pusan National University, Busan, South Korea","active":true,"usgs":false}],"preferred":false,"id":581402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157314,"text":"70157314 - 2015 - Integrated thermal infrared imaging and Structure-from-Motion photogrametry to map apparent temperature and radiant hydrothermal heat flux at Mammoth Mountain, CA USA","interactions":[],"lastModifiedDate":"2015-09-21T16:10:21","indexId":"70157314","displayToPublicDate":"2015-09-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Integrated thermal infrared imaging and Structure-from-Motion photogrametry to map apparent temperature and radiant hydrothermal heat flux at Mammoth Mountain, CA USA","docAbstract":"This work presents a method to create high-resolution (cm-scale) orthorectified and georeferenced maps of apparent surface temperature and radiant hydrothermal heat flux and estimate the radiant hydrothermal heat emission rate from a study area. A ground-based thermal infrared (TIR) camera was used to collect (1) a set of overlapping and offset visible imagery around the study area during the daytime and (2) time series of co-located visible and TIR imagery at one or more sites within the study area from pre-dawn to daytime. Daytime visible imagery was processed using the Structure-from-Motion photogrammetric method to create a digital elevation model onto which pre-dawn TIR imagery was orthorectified and georeferenced. Three-dimensional maps of apparent surface temperature and radiant hydrothermal heat flux were then visualized and analyzed from various computer platforms (e.g., Google Earth, ArcGIS). We demonstrate this method at the Mammoth Mountain fumarole area on Mammoth Mountain, CA. Time-averaged apparent surface temperatures and radiant hydrothermal heat fluxes were observed up to 73.7 oC and 450 W m-2, respectively, while the estimated radiant hydrothermal heat emission rate from the area was 1.54 kW. Results should provide a basis for monitoring potential volcanic unrest and mitigating hydrothermal heat-related hazards on the volcano.
","language":"English","publisher":"ScienceDirect","usgsCitation":"Lewis, A., Hilley, G., and Lewicki, J.L., 2015, Integrated thermal infrared imaging and Structure-from-Motion photogrametry to map apparent temperature and radiant hydrothermal heat flux at Mammoth Mountain, CA USA: Journal of Volcanology and Geothermal Research, v. 303, p. 16-24.","productDescription":"7 p.","startPage":"16","endPage":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064910","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":308336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308274,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2015.07.025"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.11582946777342,\n 37.60117623656667\n ],\n [\n -119.11582946777342,\n 37.69088430259205\n ],\n [\n -118.9441680908203,\n 37.69088430259205\n ],\n [\n -118.9441680908203,\n 37.60117623656667\n ],\n [\n -119.11582946777342,\n 37.60117623656667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"303","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012a5de4b03bc34f544409","contributors":{"authors":[{"text":"Lewis, Aaron","contributorId":147792,"corporation":false,"usgs":false,"family":"Lewis","given":"Aaron","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":572669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, George","contributorId":147793,"corporation":false,"usgs":false,"family":"Hilley","given":"George","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":572670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":572668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155523,"text":"ds948 - 2015 - U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012","interactions":[],"lastModifiedDate":"2015-09-17T10:12:03","indexId":"ds948","displayToPublicDate":"2015-09-14T17:15:00","publicationYear":"2015","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":"948","title":"U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012","docAbstract":"This dataset provides a U.S. national 60-meter, 19-class mapping of anthropogenic land uses for five time periods: 1974, 1982, 1992, 2002, and 2012. The 2012 dataset is based on a slightly modified version of the National Land Cover Database 2011 (NLCD 2011) that was recoded to a schema of land uses, and mapped back in time to develop datasets for the four earlier eras. The time periods coincide with U.S. Department of Agriculture (USDA) Census of Agriculture data collection years. Changes are derived from (a) known changes in water bodies from reservoir construction or removal; (b) housing unit density changes; (c) regional mining/extraction trends; (d) for 1999–2012, timber and forestry activity based on U.S. Geological Survey (USGS) Landscape Fire and Resource Management Planning Tools (Landfire) data; (e) county-level USDA Census of Agriculture change in cultivated land; and (f) establishment dates of major conservation areas. The data are compared to several other published studies and datasets as validation. Caveats are provided about limitations of the data for some classes. The work was completed as part of the USGS National Water-Quality Assessment (NAWQA) Program and termed the NAWQA Wall-to-Wall Anthropogenic Land Use Trends (NWALT) dataset. The associated datasets include five 60-meter geospatial rasters showing anthropogenic land use for the years 1974, 1982, 1992, 2002, and 2012, and 14 rasters showing the annual extent of timber clearcutting and harvest from 1999 to 2012.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds948","usgsCitation":"Falcone, J.A., 2015, U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012: U.S. Geological Survey Data Series 948, 33 p. plus appendixes 3–6 as separate files, https://dx.doi.org/10.3133/ds948.","productDescription":"Report: viii, 33 p.; Appendixes 3-6; Spatial Data","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066108","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":308093,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds948_NWALT.xml","text":"DS 948 NWALT","description":"DS 948"},{"id":308002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0948/ds948.pdf","text":"Report","size":"8.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0948/cover.jpg"},{"id":308003,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix3.pdf","text":"DS 948 - Appendix 3","size":"106 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308004,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix4.pdf","text":"DS 948 - Appendix 4","size":"161 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308005,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix5.pdf","text":"DS 948 - Appendix 5","size":"8.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308006,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix6.xlsx","text":"DS 948 - Appendix 6","size":"97.6 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 948"}],"country":"United States","contact":"Chief, Office of Water Quality
U.S. Geological Survey
412 National Center
Reston, VA 20192
http://water.usgs.gov/owq/
This crosswalk is based on the premise that there is a connection between the way mineral commodities are used and how this use is reflected in the economy. Raw mineral commodities are the basic materials from which goods, finished products, or intermediate materials are manufactured or made. Mineral commodities are vital to the development of the U.S. economy and they impact nearly every industrial segment of the economy, representing 12.2 percent of the U.S. gross domestic product (GDP) in 2010 (U.S. Bureau of Economic Analysis, 2014). In an effort to better understand the distribution of mineral commodities in the economy, the U.S. Geological Survey (USGS) attempts to link the end uses of mineral commodities to the corresponding North American Industry Classification System (NAICS) codes.
\nThe links between the end uses of mineral commodities and the NAICS codes provide an instrument for analyzing the use of mineral commodities in the economy. The crosswalk is also a guide, highlighting those industrial sectors in the economy that rely heavily on mineral commodities. The distribution of mineral commodities across the economy is dynamic and does differ from year to year. This report reflects a snapshot of the state of the economy and mineral commodities in 2010.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151163","usgsCitation":"Barry, J.J., Matos, G.R., and Menzie, W.D., 2015, A crosswalk of mineral commodity end uses and North American Industry Classification System (NAICS) codes: U.S. Geological Survey Open-File Report 2015–1163, 4 p., plus 77 tables in 1 Excel file, https://dx.doi.org/10.3133/ofr20151163.","productDescription":"Report: v, 4 p.; Excel File","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-057770","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":308045,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1163/ofr20151163_tables1-77.xlsx","text":"Excel File","size":"651 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1163"},{"id":308044,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1163/ofr20151163.pdf","text":"Report","size":"172 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1163"},{"id":308043,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ofr/2015/1163/coverthbr.jpg"}],"contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Dr.
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
http://minerals.usgs.gov/minerals/
The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 5-6, 2014, the USGS conducted an oblique aerial photographic survey from Key Largo, Florida, to the Florida/Georgia border (Figure 1), aboard a Cessna 182 at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2). This mission was flown to collect baseline data for assessing incremental changes since the last survey, flown October 1998, and the data can be used in the assessment of future coastal change.
\nThe photographs provided here are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, image name, date, and time of each of the 3,892 photographs taken along with links to each photograph.
\nIn addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files. These KML files can be found in the kml folder.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds953","usgsCitation":"Morgan, K.L.M., 2015, Baseline coastal oblique aerial photographs collected from Key Largo, Florida, to the Florida/Georgia border, September 5-6, 2014: U.S. Geological Survey Data Series 953, https://dx.doi.org/10.3133/ds953.","productDescription":"HTML document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-09-05","temporalEnd":"2015-09-06","ipdsId":"IP-065621","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307882,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0953/coverthb.jpg"},{"id":307883,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0953/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DS 953"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.573486328125,\n 25.334096684794456\n ],\n [\n -81.573486328125,\n 30.713503990354965\n ],\n [\n -79.9365234375,\n 30.713503990354965\n ],\n [\n -79.9365234375,\n 25.334096684794456\n ],\n [\n -81.573486328125,\n 25.334096684794456\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
We constrain the physical nature of the magma reservoir and the mechanisms of rhyolite generation at Yellowstone caldera via detailed characterization of zircon and sanidine crystals hosted in three rhyolites erupted during the (ca. 170 – 70 ka) Central Plateau Member eruptive episode – the most recent post-caldera magmatism at Yellowstone. We present 238U-230Th crystallization ages and trace-element compositions of the interiors and surfaces (i.e., unpolished rims) of individual zircon crystals from each rhyolite. We compare these zircon data to 238U- 230Th crystallization ages of bulk sanidine separates coupled with chemical and isotopic data from single sanidine crystals. Zircon age and trace-element data demonstrate that the magma reservoir that sourced the Central Plateau Member rhyolites was long-lived (150 – 250 kyr) and genetically related to the preceding episode of magmatism, which occurred ca. 256 ka. The interiors of most zircons in each rhyolite were inherited from unerupted material related to older stages of Central Plateau Member magmatism or the preceding late Upper Basin Member magmatism (i.e., are antecrysts). Conversely, most zircon surfaces crystallized near the time of eruption from their host liquids (i.e., are autocrystic). The repeated recycling of zircon interiors from older stages of magmatism demonstrates that sequentially erupted Central Plateau Member rhyolites are genetically related. Sanidine separates from each rhyolite yield 238U-230Th crystallization ages at or near the eruption age of their host magmas, coeval with the coexisting zircon surfaces, but are younger than the coexisting zircon interiors. Chemical and isotopic data from single sanidine crystals demonstrate that the sanidines in each rhyolite are in equilibrium with their host melts, which considered along with their near-eruption crystallization ages suggests that nearly all CPM sanidines are autocrystic. The paucity of antecrystic sanidine crystals relative to antecrystic zircons require a model where eruptible rhyolites are generated by extracting melt and zircons from a long-lived mush of immobile crystal-rich magma. In this process the larger sanidine crystals remain trapped in the locked crystal network. The extracted melts (plus antecrystic zircon) amalgamate into a liquid dominated (i.e., eruptible) magma body that is maintained as a physically distinct entity relative to the bulk of the long-lived crystal mush. Zircon surfaces and sanidines in each rhyolite crystallize after melt extraction/amalgamation and their ages constrain the residence time of eruptible magmas at Yellowstone. Residence times of the large volume rhyolites (~40 – 70 km3) are ≤ 1 kyr (conservatively < 6 kyr), which suggests that large volumes of rhyolite can be generated rapidly by extracting melt from a crystal mush. Because the lifespan of the crystal mush that sourced the Central Plateau Member rhyolites is two orders of magnitude longer than the residence time of eruptible magma bodies within the reservoir, it is apparent that the Yellowstone magma reservoir spends most of its time in a largely-crystalline (i.e., uneruptible) state, similar to the present-day magma reservoir, and that eruptible magma bodies are ephemeral features.
","language":"English","publisher":"Oxford University Press","publisherLocation":"Oxford","doi":"10.1093/petrology/egv047","usgsCitation":"Stelten, M.E., Cooper, K.M., Vazquez, J.A., Calvert, A.T., and Glessner, J., 2015, Mechanisms and timescales of generating eruptible rhyolitic magmas at Yellowstone caldera from zircon and sanidine geochronology and geochemistry: Journal of Petrology, v. 56, no. 8, p. 1607-1642, https://doi.org/10.1093/petrology/egv047.","productDescription":"36 p.","startPage":"1607","endPage":"1642","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060417","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egv047","text":"Publisher Index Page"},{"id":310232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Wyoming","otherGeospatial":"Yellowstone Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.60784912109375,\n 44.70965819812379\n ],\n [\n -109.90447998046875,\n 44.859762688042736\n ],\n [\n -110.40985107421875,\n 44.933696389694674\n ],\n [\n -110.74493408203125,\n 44.83055216443822\n ],\n [\n -110.9564208984375,\n 44.70770622183535\n ],\n [\n -111.3958740234375,\n 44.296332880058706\n ],\n [\n -111.33819580078125,\n 43.92163712834673\n ],\n [\n -111.29425048828125,\n 43.534611617432816\n ],\n [\n -109.75341796875,\n 43.74530493763506\n ],\n [\n -109.259033203125,\n 44.004669106432225\n ],\n [\n -109.10247802734375,\n 44.4377021634654\n ],\n [\n -109.60784912109375,\n 44.70965819812379\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"5628b73ce4b0d158f5926c3e","contributors":{"authors":[{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":565665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Kari M.","contributorId":32814,"corporation":false,"usgs":true,"family":"Cooper","given":"Kari","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":565664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":565667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glessner, Justin G","contributorId":145924,"corporation":false,"usgs":false,"family":"Glessner","given":"Justin G","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":565668,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157048,"text":"70157048 - 2015 - A case study demonstrating analysis of stormflows, concentrations, and loads of nutrients in highway runoff and swale discharge with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2015-09-14T09:55:40","indexId":"70157048","displayToPublicDate":"2015-09-14T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"A case study demonstrating analysis of stormflows, concentrations, and loads of nutrients in highway runoff and swale discharge with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"Decisionmakers need information about the quality and quantity of stormwater runoff, the risk for adverse effects of runoff on receiving waters, and the potential effectiveness of mitigation measures to reduce these risks. The Stochastic Empirical Loading and Dilution Model (SELDM) uses Monte Carlo methods to generate stormflows, concentrations, and loads from a highway site and an upstream basin to provide needed risk-based information. SELDM was designed to help inform water-management decisions for streams and lakes receiving runoff from a highway or other land-use site. The purpose of this paper is to provide a brief description of SELDM and a hypothetical case study demonstrating the type of risk-based information that SELDM can provide. Total nitrogen (TN) and total phosphorus (TP) were selected as example constituents because nutrients are a common concern throughout the Nation and data for receiving waters, highway runoff, and the performance of best management practices (BMPs) are readily available for these constituents.
\nThe case study is hypothetical, but was formulated by using actual data from selected monitoring sites in New England. Data representing streamflow and water-quality were collected at U.S. Geological Survey (USGS) streamgage 01208950 Sasco Brook near Southport, CT, which has a drainage area of 7.38 square miles. In this hypothetical case study a 4-lane highway would replace the current 2-lane road and would have a contributing area of 2.2 acres between the topographic basin divides. Concentrations of TN and TP in highway runoff were simulated with data from USGS highway-runoff monitoring station 423027071291301 along State Route 2 in Littleton Massachusetts. Results of a highway-runoff analysis are shown in relation to three hypothetical discharge criteria for TN and two hypothetical discharge criteria for TP. The risks for exceeding TN discharge criteria of 3, 5, and 8 mg/L for highway runoff are 7.4, 0.83, and 0.13 percent of 1,721 runoff events that may occur during a stochastic 30-year simulation. If a grassy swale is used to treat the runoff, the risks for TN exceedances are reduced to 3.2, 0.33 and 0.03 percent, respectively. The risks for exceeding TP discharge criteria of 0.1 and 0.5 mg/L for highway runoff are 49 and 1.2 percent, respectively. If a grassy swale is used to treat the runoff, the risks for TP exceedances are 57 and 0.8 percent, respectively. The risks for the 0.1 mg/L criterion increase because swales can be a source of TP if pavement concentrations are low. The risks for the 0.5 mg/L criterion decrease because the swale is effective for reducing high TP concentrations. Although the results are mixed for storm-event concentrations, the grassy swale effectively reduces annual loads. Annual loads from the swale are, on average, about 49 percent of highway loads for TN and 62 percent of highway loads of TP because the swale reduces high runoff concentrations and stormflow volumes. Analysis of upstream and downstream concentrations indicates that runoff from the site of interest does not have a substantial effect on instream stormflow concentrations in this example simulation.
","conferenceTitle":"StormCon","conferenceDate":"08/6/2015","conferenceLocation":"Austin, TX","language":"English","publisher":"Forester Media Inc.","publisherLocation":"Santa Barbara, CA","collaboration":"Federal Highway Administration","usgsCitation":"Granato, G.E., and Jones, S.C., 2015, A case study demonstrating analysis of stormflows, concentrations, and loads of nutrients in highway runoff and swale discharge with the Stochastic Empirical Loading and Dilution Model (SELDM), StormCon, Austin, TX, 08/6/2015, p. 1-10.","productDescription":"10 p.","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063178","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":308099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307902,"type":{"id":11,"text":"Document"},"url":"https://webdmamrl.er.usgs.gov/g1/FHWA/Presentations/GranatoJones2015StormCon.pdf"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f7e19ee4b05d6c4e4fa951","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":147346,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":false,"id":571336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":571337,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155913,"text":"ofr20151143 - 2015 - Biological and geochemical data along Indian Point, Vermilion Bay, Louisiana","interactions":[],"lastModifiedDate":"2025-05-13T16:54:08.808533","indexId":"ofr20151143","displayToPublicDate":"2015-09-14T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1143","title":"Biological and geochemical data along Indian Point, Vermilion Bay, Louisiana","docAbstract":"Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center collected shallow sediment cores and surface samples from a coastal salt marsh environment next to Vermilion Bay in southwest Louisiana in January 2013. The sampling was part of a larger USGS study to gather data for assessing environmental changes over the past 150 years. The objective of the study was to expand upon the historical context of sea level and storms affecting coastal systems and how these systems might change under persistent or varying conditions. The data from this report add to a regional environmental change database that aids with the continuing effort to understand the evolution of coastal systems.
\nThis report serves as an archive for sedimentological, radiochemical, and microbiological data derived from the sediment cores. Data are available for January 2013. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include ArcGIS shapefiles of the sampling sites, detailed results of sediment analyses, and formal Federal Geographic Data Committee metadata.
\nThe authors thank Nancy DeWitt, B.J. Reynolds, Christopher Reich (USGS, St. Petersburg Coastal and Marine Science Center), for help with sample collection and processing; Michael Ball, Sarai Piazza, and Gregory Steyer (USGS, Coastal Restoration Assessment Branch) for assistance accessing CRMS Site 541; and Darrell Anders and Phillip Turnipseed (USGS National Wetlands Research Center) for technical support while in the field. We would also like to thank Caitlyn Reynolds and Nicholas Zaremba for their pre-release commentary and peer review.
\nThis publication was prepared by an agency of the United States Government. Although these data were processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151143","usgsCitation":"Richwine, K.A., Marot, M.E., Smith, C.G., Osterman, L.E., and Adams, C.S., 2015, Biological and geochemical data along Indian Point, Vermilion Bay, Louisiana: U.S. Geological Survey Open-File Report 2015-1143, https://dx.doi.org/10.3133/ofr20151143.","productDescription":"Report: HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059007","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307119,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1143/downloads","text":"Biological and Geochemical Data","description":"OFR 2015-1143"},{"id":307094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1143/coverthb.jpg"},{"id":307095,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1143/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1143"}],"country":"United States","state":"Louisiana","otherGeospatial":"Indian Point, Vermilion Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.05787658691406,\n 29.608088257406806\n ],\n [\n -92.05787658691406,\n 29.6361427369564\n ],\n [\n -92.00363159179688,\n 29.6361427369564\n ],\n [\n -92.00363159179688,\n 29.608088257406806\n ],\n [\n -92.05787658691406,\n 29.608088257406806\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South St.
Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
Cyanobacteria can produce toxins and form harmful algal blooms. The Native American and Alaska Native communities that are dependent on subsistence fishing have an increased risk of exposure to these cyanotoxins. It is important to recognize the presence of an algal bloom in a waterbody and to distinguish a potentially toxic harmful algal bloom from a non-toxic bloom. This guide provides field images that show cyanobacteria blooms, some of which can be toxin producers, as well as other non-toxic algae blooms and floating plants that might be confused with algae. After recognition of a potential toxin-producing cyanobacterial bloom in the field, the type(s) of cyanobacteria present needs to be identified. Species identification, which requires microscopic examination, may help distinguish a toxin-producer from a non-toxin producer. This guide also provides microscopic images of the common cyanobacteria that are known to produce toxins, as well as images of algae that form blooms but do not produce toxins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151164","usgsCitation":"Rosen, B.H., and St. Amand, Ann, Field and laboratory guide to freshwater cyanobacteria harmful algal blooms for Native American and Alaska Native Communities: U.S. Geological Survey Open-File Report 2015–1164, 44 p., https://dx.doi.org/10.3133/ofr20151164.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065834","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":308071,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1164/ofr20151164.pdf","text":"Report","size":"7.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1164"},{"id":308070,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1164/coverthb.jpg"}],"contact":"National Tribal Liaison
USGS Office of Tribal Relations
12201 Sunrise Valley Drive, Mail Stop 911
Reston, VA 20192
(703) 648-4437
Managing freshwater resources sustainably under future climatic and hydrological uncertainty poses novel challenges. Rehabilitation of ageing infrastructure and construction of new dams are widely viewed as solutions to diminish climate risk, but attaining the broad goal of freshwater sustainability will require expansion of the prevailing water resources management paradigm beyond narrow economic criteria to include socially valued ecosystem functions and services. We introduce a new decision framework, eco-engineering decision scaling (EEDS), that explicitly and quantitatively explores trade-offs in stakeholder-defined engineering and ecological performance metrics across a range of possible management actions under unknown future hydrological and climate states. We illustrate its potential application through a hypothetical case study of the Iowa River, USA. EEDS holds promise as a powerful framework for operationalizing freshwater sustainability under future hydrological uncertainty by fostering collaboration across historically conflicting perspectives of water resource engineering and river conservation ecology to design and operate water infrastructure for social and environmental benefits.
","language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/nclimate2765","usgsCitation":"Poff, N., Brown, C.M., Grantham, T.E., Matthews, J.H., Palmer, M.A., Spence, C.M., Wilby, R.L., Haasnoot, M., Mendoza, G., Dominique, K.C., and Baeza, A., 2015, Sustainable water management under future uncertainty with eco-engineering decision scaling: Nature Climate Change, v. 6, p. 25-34, https://doi.org/10.1038/nclimate2765.","productDescription":"10","startPage":"25","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063765","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.lboro.ac.uk/2134/19029","text":"External Repository"},{"id":316737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"56bb1bd1e4b08d617f654e6f","contributors":{"authors":[{"text":"Poff, N LeRoy","contributorId":156377,"corporation":false,"usgs":false,"family":"Poff","given":"N LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":597700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Casey M","contributorId":156378,"corporation":false,"usgs":false,"family":"Brown","given":"Casey","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grantham, Theodore E. tgrantham@usgs.gov","contributorId":156376,"corporation":false,"usgs":true,"family":"Grantham","given":"Theodore","email":"tgrantham@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":597699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, John H","contributorId":156379,"corporation":false,"usgs":false,"family":"Matthews","given":"John","email":"","middleInitial":"H","affiliations":[{"id":20334,"text":"Alliance for Global Water Adaptation","active":true,"usgs":false}],"preferred":false,"id":597702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Margaret A.","contributorId":149194,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret","email":"","middleInitial":"A.","affiliations":[{"id":17669,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":597703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spence, Caitlin M","contributorId":156380,"corporation":false,"usgs":false,"family":"Spence","given":"Caitlin","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilby, Robert L.","contributorId":101561,"corporation":false,"usgs":true,"family":"Wilby","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":597705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haasnoot, Marjolijn","contributorId":156381,"corporation":false,"usgs":false,"family":"Haasnoot","given":"Marjolijn","email":"","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":597706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mendoza, Guillermo F","contributorId":156382,"corporation":false,"usgs":false,"family":"Mendoza","given":"Guillermo F","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":597707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dominique, Kathleen C","contributorId":156383,"corporation":false,"usgs":false,"family":"Dominique","given":"Kathleen","email":"","middleInitial":"C","affiliations":[{"id":20335,"text":"Organisation for Economic Co-operation and Development","active":true,"usgs":false}],"preferred":false,"id":597708,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baeza, Andres","contributorId":156384,"corporation":false,"usgs":false,"family":"Baeza","given":"Andres","email":"","affiliations":[{"id":20336,"text":"National Socio-Environmental Synthesis Center","active":true,"usgs":false}],"preferred":false,"id":597709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70159606,"text":"70159606 - 2015 - Molecular tracing of confiscated pangolin scales for conservation and illegal trade monitoring in Southeast Asia","interactions":[],"lastModifiedDate":"2018-08-13T09:50:11","indexId":"70159606","displayToPublicDate":"2015-09-14T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Molecular tracing of confiscated pangolin scales for conservation and illegal trade monitoring in Southeast Asia","docAbstract":"Despite being protected by both international and national regulations, pangolins are threatened by illegal trade. Here we report mitochondrial DNA identification and haplotype richness estimation, using 239 pangolin scale samples from two confiscations in Hong Kong. We found a total of 13 genetically distinct cytochrome c oxidase I (COI) haplotypes in two confiscations (13 and ten haplotypes respectively, with ten shared haplotypes between confiscations). These haplotypes clustered in two distinct clades with one clade representing the Sunda pangolin (Manisjavanica). The other clade did not match with any known Asian pangolin sequences, and likely represented a cryptic pangolin lineage in Asia. By fitting sample coverage and rarefaction/regression models to our sample data, we predicted that the total number of COI haplotypes in two confiscations were 14.86 and 11.06 respectively, suggesting that our sampling caught the majority of haplotypes and that we had adequately characterized each confiscation. We detected substantial sequence divergence among the seized scales, likely evidencing that the Sunda pangolins were harvested over wide geographical areas across Southeast Asia. Our study illustrates the value of applying DNA forensics for illegal wildlife trade monitoring.
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Hong Kong SAR","active":true,"usgs":false}],"preferred":false,"id":579690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaubert, Philippe 0000-0002-1375-9935","orcid":"https://orcid.org/0000-0002-1375-9935","contributorId":149820,"corporation":false,"usgs":false,"family":"Gaubert","given":"Philippe","email":"","affiliations":[{"id":17834,"text":"Institut des Sciences de l'Evolution de Montpellier (ISEM) – UM2-CNRS-IRD, Université de Montpellier, Montpellier Cedex 05, France","active":true,"usgs":false}],"preferred":false,"id":579691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ades, Gary","contributorId":149821,"corporation":false,"usgs":false,"family":"Ades","given":"Gary","email":"","affiliations":[{"id":17833,"text":"Kadoorie Farm and Botanic Garden, Lam Kam Road, Tai Po, N.T. Hong Kong SAR","active":true,"usgs":false}],"preferred":false,"id":579692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, Gunter A.","contributorId":149822,"corporation":false,"usgs":false,"family":"Fischer","given":"Gunter","email":"","middleInitial":"A.","affiliations":[{"id":17833,"text":"Kadoorie Farm and Botanic Garden, Lam Kam Road, Tai Po, N.T. Hong Kong SAR","active":true,"usgs":false}],"preferred":false,"id":579693,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160767,"text":"70160767 - 2015 - An examination of gender differences in the American Fisheries Society peer-review process","interactions":[],"lastModifiedDate":"2018-02-28T14:40:33","indexId":"70160767","displayToPublicDate":"2015-09-11T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"An examination of gender differences in the American Fisheries Society peer-review process","docAbstract":"This study investigated the possibility of gender differences in outcomes throughout the peer review process of American Fisheries Society (AFS) journals. For each manuscript submitted to four AFS journals between January 2003 and December 2010, we collated information regarding the gender and nationality of authors, gender of associate editor, gender of reviewers, reviewer recommendations, associate editor's decision, and publication status of the manuscript. We used hierarchical linear modeling to test for differences in manuscript decision outcomes associated with author, reviewer, and associate editor gender. Gender differences were present at some but not every stage of the review process and were not equal among the four journals. Although there was a small gender difference in decision outcomes, we found no evidence of bias in editors’ and reviewers’ recommendations. Our results support the conclusion that the current single-blind review system does not result in bias against female authors within AFS journals.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2015.1059824","collaboration":"Oberlin College; Auburn University; Carleton University (Canada); Illinois Natural History Survey","usgsCitation":"Handley, G., Frantz, C.M., Kocovsky, P., DeVries, D.R., Cooke, S., and Claussen, J., 2015, An examination of gender differences in the American Fisheries Society peer-review process: Fisheries, v. 40, no. 9, p. 442-451, https://doi.org/10.1080/03632415.2015.1059824.","productDescription":"10 p.","startPage":"442","endPage":"451","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056837","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"56850e51e4b0a04ef49337d6","contributors":{"authors":[{"text":"Handley, Grace","contributorId":150971,"corporation":false,"usgs":false,"family":"Handley","given":"Grace","email":"","affiliations":[{"id":6707,"text":"Oberlin College","active":true,"usgs":false}],"preferred":false,"id":583821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Cynthia M","contributorId":150972,"corporation":false,"usgs":false,"family":"Frantz","given":"Cynthia","email":"","middleInitial":"M","affiliations":[{"id":6707,"text":"Oberlin College","active":true,"usgs":false}],"preferred":false,"id":583822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeVries, Dennis R.","contributorId":49678,"corporation":false,"usgs":true,"family":"DeVries","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":583823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":583824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claussen, Julie","contributorId":150973,"corporation":false,"usgs":false,"family":"Claussen","given":"Julie","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":583825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155942,"text":"sir20155113 - 2015 - Hydrogeology and simulation of groundwater flow in fractured-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces, Bedford County, Virginia","interactions":[],"lastModifiedDate":"2015-11-02T09:44:16","indexId":"sir20155113","displayToPublicDate":"2015-09-11T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5113","title":"Hydrogeology and simulation of groundwater flow in fractured-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces, Bedford County, Virginia","docAbstract":"An annual groundwater budget was computed as part of a hydrogeologic characterization and monitoring effort of fractured-rock aquifers in Bedford County, Virginia, a growing 764-square-mile (mi2) rural area between the cities of Roanoke and Lynchburg, Virginia. Data collection in Bedford County began in the 1930s when continuous stream gages were installed on Goose Creek and Big Otter River, the two major tributaries of the Roanoke River within the county. Between 2006 and 2014, an additional 2 stream gages, 3 groundwater monitoring wells, and 12 partial-record stream gages were operated. Hydrograph separation methods were used to compute base-flow recharge rates from the continuous data collected from the continuous stream gages. Mean annual base-flow recharge ranged from 8.3 inches per year (in/yr) for the period 1931–2012 at Goose Creek near Huddleston (drainage area 188 mi2) to 9.3 in/yr for the period 1938–2012 at Big Otter River near Evington (drainage area 315 mi2). Mean annual base-flow recharge was estimated to be 6.5 in/yr for the period 2007–2012 at Goose Creek at Route 747 near Bunker Hill (drainage area 125 mi2) and 8.9 in/yr for the period 2007–2012 at Big Otter River at Route 221 near Bedford (drainage area 114 mi2). Base-flow recharge computed from the partial-record data ranged from 5.0 in/yr in the headwaters of Goose Creek to 10.5 in/yr in the headwaters of Big Otter River.
\nA steady-state groundwater-flow simulation for Bedford County was developed to test the conceptual understanding of flow in the fractured-rock aquifers and to compute a groundwater budget for the four major drainages: James River, Smith Mountain and Leesville Lakes, Goose Creek, and Big Otter River. Model results indicate that groundwater levels mimic topography and that minimal differences in aquifer properties exist between the Proterozoic basement crystalline rocks and Late Proterozoic-Cambrian cover crystalline rocks. The Big Otter River receives 40.8 percent of the total daily groundwater outflow from fractured-rock aquifers in Bedford County; Goose Creek receives 25.8 percent, the James River receives 18.2 percent, and Smith Mountain and Leesville Lakes receive 15.2 percent. The remaining percentage of outflow is attributed to pumping from the aquifer (consumptive use).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155113","issn":"2328-031X","isbn":"978-1-4113-3965-1","usgsCitation":"McCoy, K.J., White, B.A., Yager, R.M., and Harlow, G.E., Jr., 2015, Hydrogeology and simulation of groundwater flow in fractured-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces, Bedford County, Virginia: U.S. Geological Survey Scientific Investigations Report 2015–5113, 54 p., https://dx.doi.org/10.3133/sir20155113.","productDescription":"viii, 54 p.","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039535","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":308064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5113/sir20155113.pdf","text":"Report","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5113"},{"id":308063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5113/coverthb.jpg"}],"country":"United States","state":"Virginia","county":"Bedford County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.9365234375,\n 36.97622678464096\n ],\n [\n -79.9365234375,\n 37.666429212090605\n ],\n [\n -79.1015625,\n 37.666429212090605\n ],\n [\n -79.1015625,\n 36.97622678464096\n ],\n [\n -79.9365234375,\n 36.97622678464096\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228
http://va.water.usgs.gov/
Geographic information system (GIS) information may facilitate energy studies, which in turn provide input for energy policy decisions. The U.S. Geological Survey (USGS) has compiled GIS data representing coal mines, deposits (including those with and without coal mines), occurrences, areas, basins, and provinces of Mongolia as of 2009. These data are now available for download, and may be used in a GIS for a variety of energy resource and environmental studies of Mongolia. Chemical data for 37 coal samples from a previous USGS study of Mongolia (Tewalt and others, 2010) are included in a downloadable GIS point shapefile and shown on the map of Mongolia. A brief report summarizes the methodology used for creation of the shapefiles and the chemical analyses run on the samples.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151144","usgsCitation":"Trippi, M.H., and Belkin, H.E., comps., 2015, USGS compilation of geographic information system (GIS) data representing coal mines and coal-bearing areas of Mongolia: U.S. Geological Survey Open-File Report 2015–1144, 18 p., https://dx.doi.org/10.3133/ofr20151144.","productDescription":"Report: v, 18 p.; Metadata; Spatial data","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051260","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":307735,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-deposits-metadata.html","text":"Mongolia Coal Deposits Metadata","size":"35.4 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1144"},{"id":307731,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1144/coverthb.jpg"},{"id":307740,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-areas-basins-provinces.zip","text":"Mongolia Coal Areas, Basins, and Provinces Shape Files","size":"203 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"},{"id":307732,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1144/ofr20151144.pdf","text":"Report","size":"4.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1144"},{"id":307733,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-allshapefiles-metadata.zip","text":"All Mongolia Shape Files and Metadata","size":"294 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"},{"id":307734,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-areas-basins-provinces-metadata.html","text":"Mongolia Coal Areas, Basins, and Provinces Metadata","size":"20.9 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1144"},{"id":307737,"rank":9,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-analytical-data-metadata.html","text":"Mongolia Anaytical Data Metadata","size":"100 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1144"},{"id":307738,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-deposits.zip","text":"Mongolia Coal Deposit Shape File","size":"24.6 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"},{"id":307739,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-analytical-data.zip","text":"Mongolia Analytical Data Shape File","size":"43.6 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"}],"country":"Mongolia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[87.75126,49.2972],[88.80557,49.47052],[90.71367,50.33181],[92.23471,50.80217],[93.10422,50.49529],[94.14757,50.48054],[94.81595,50.01343],[95.81403,49.97747],[97.25973,49.72606],[98.23176,50.4224],[97.82574,51.011],[98.86149,52.04737],[99.98173,51.63401],[100.88948,51.51686],[102.06522,51.25992],[102.25591,50.51056],[103.67655,50.08997],[104.62155,50.27533],[105.88659,50.40602],[106.8888,50.2743],[107.86818,49.79371],[108.47517,49.28255],[109.40245,49.29296],[110.66201,49.13013],[111.58123,49.37797],[112.89774,49.54357],[114.36246,50.2483],[114.96211,50.14025],[115.4857,49.80518],[116.6788,49.88853],[116.1918,49.1346],[115.48528,48.13538],[115.74284,47.72654],[116.30895,47.85341],[117.29551,47.69771],[118.06414,48.06673],[118.86657,47.74706],[119.77282,47.04806],[119.66327,46.69268],[118.87433,46.80541],[117.4217,46.67273],[116.71787,46.3882],[115.9851,45.72724],[114.46033,45.33982],[113.46391,44.80889],[112.43606,45.01165],[111.87331,45.10208],[111.34838,44.45744],[111.66774,44.07318],[111.82959,43.74312],[111.12968,43.40683],[110.4121,42.87123],[109.2436,42.51945],[107.74477,42.48152],[106.12932,42.13433],[104.96499,41.59741],[104.52228,41.90835],[103.31228,41.90747],[101.83304,42.51487],[100.84587,42.6638],[99.51582,42.52469],[97.45176,42.74889],[96.3494,42.72564],[95.76245,43.31945],[95.30688,44.24133],[94.68893,44.35233],[93.48073,44.97547],[92.13389,45.11508],[90.94554,45.28607],[90.58577,45.71972],[90.97081,46.88815],[90.28083,47.69355],[88.8543,48.06908],[88.01383,48.59946],[87.75126,49.2972]]]},\"properties\":{\"name\":\"Mongolia\"}}]}","contact":"Eastern Energy Resources Science Center
U.S. Geological Survey
954 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
http://energy.usgs.gov/GeneralInfo/
ScienceCenters/Eastern.aspx
Subduction zone megathrust faults produce most of the world’s largest earthquakes. Although the physical properties of these faults are difficult to observe directly, their frictional strength can be estimated indirectly by constraining the orientations of the stresses that act on them. A global investigation of stress orientations in subduction zones finds that the maximum compressive stress axis plunges systematically trenchward, consistently making a 45°-60° angle to the subduction megathrust fault. These angles indicate that the megathrust fault is not substantially weaker than its surroundings. Together with several other lines of evidence, this implies that subduction zone megathrusts are weak faults in a low-stress environment. The deforming outer accretionary wedge may decouple the stress state along the megathrust from the constraints of the free surface.
","language":"English","publisher":"American Association for the Advancement of Science (AAAS)","doi":"10.1126/science.aac5625","usgsCitation":"Hardebeck, J.L., 2015, Stress orientations in subduction zones and the strength of subduction megathrust faults: Science, v. 349, no. 6253, p. 1213-1216, https://doi.org/10.1126/science.aac5625.","productDescription":"4 p.","startPage":"1213","endPage":"1216","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065720","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":308334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"349","issue":"6253","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012aa9e4b03bc34f544430","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156696,"text":"ofr20151167 - 2015 - Fire patterns in the range of the greater sage-grouse, 1984-2013 - Implications for conservation and management","interactions":[],"lastModifiedDate":"2019-12-27T10:51:56","indexId":"ofr20151167","displayToPublicDate":"2015-09-10T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1167","title":"Fire patterns in the range of the greater sage-grouse, 1984-2013 - Implications for conservation and management","docAbstract":"Fire ranks among the top three threats to the greater sage-grouse (Centrocercus urophasianus) throughout its range, and among the top two threats in the western part of its range. The national research strategy for this species and the recent U.S. Department of the Interior Secretarial Order 3336 call for science-based threats assessment of fire to inform conservation planning and fire management efforts. The cornerstone of such assessments is a clear understanding of where fires are occurring and what aspects of fire regimes may be shifting outside of their historical range of variation. This report fulfills this need by describing patterns of fire area, fire size, fire rotation, and fire season length and timing from 1984 to 2013 across the range of the greater sage-grouse. This information need is further addressed by evaluating the ecological and management implications of these fire patterns. Analyses are stratified by major vegetation types and the seven greater sage-grouse management zones, delineated regionally as four western and three eastern management zones. Soil temperature and moisture indicators of resilience to fire and resistance to cheatgrass invasion, and the potential for establishment of a grass/fire cycle, are used as unifying concepts in developing fire threat assessments for each analysis strata.
\nThe results indicate that fire threats are higher in the four western than in the three eastern management zones. Among the four western management zones, the Snake River Plain and the Columbia Basin ranked somewhat higher than the Southern Great Basin and Northern Great Basin in terms of fire effects on sage-grouse habitat. These results support the previous high ranking of fire as a threat to the greater sage-grouse in the western region. In contrast, considering the low rankings for fire threats in the eastern region, it may be useful to reconsider the relative importance of wildfire as a threat to greater sage-grouse in those three management zones.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151167","usgsCitation":"Brooks, M.L., Matchett, J.R., Shinneman, D.J., and Coates, P.S., 2015, Fire patterns in the range of greater sage-grouse, 1984–2013—Implications for conservation and management: U.S. Geological Survey Open-File Report 2015-1167, 66 p., https://dx.doi.org/10.3133/ofr20151167.","productDescription":"Report: vi, 66 p.; Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067763","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438683,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76971N5","text":"USGS data release","linkHelpText":"Fire Patterns in the Range of the Greater Sage-Grouse, 1984-2013-Implications for Conservation and Management"},{"id":307546,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1167/ofr20151167.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1167 PDF"},{"id":307547,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1167/coverthb.jpg"},{"id":312278,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F76971N5","text":"Data Release"}],"country":"United States","state":"California, Colorado, Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","otherGeospatial":"Colorado Plateau, Columbia Basin, Great Plains, Northern Great Basin, Snake River Plain, Southern Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.5078125,\n 35.42486791930558\n ],\n [\n -102.3046875,\n 35.42486791930558\n ],\n [\n -102.3046875,\n 49.03786794532644\n ],\n [\n -125.5078125,\n 49.03786794532644\n ],\n [\n -125.5078125,\n 35.42486791930558\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
http://werc.usgs.gov/
Abstract
Introduction
Methods
Fire Pattern Results
Discussion of Fire Patterns
Fire Threats Assessment for Greater Sage-Grouse Habitat
Acknowledgments
References Cited
Appendixes 1-13
Greater sage-grouse (Centrocercus urophasianus; hereinafter, sage-grouse) are a sagebrush obligate species that has declined concomitantly with the loss and fragmentation of sagebrush ecosystems across most of its geographical range. The species currently is listed as a candidate for federal protection under the Endangered Species Act (ESA). Increasing wildfire frequency and changing climate frequently are identified as two environmental drivers that contribute to the decline of sage-grouse populations, yet few studies have rigorously quantified their effects on sage-grouse populations across broad spatial scales and long time periods. To help inform a threat assessment within the Great Basin for listing sage-grouse in 2015 under the ESA, we conducted an extensive analysis of wildfire and climatic effects on sage-grouse population growth derived from 30 years of lek-count data collected across the hydrographic Great Basin of Western North America. Annual (1984–2013) patterns of wildfire were derived from an extensive dataset of remotely sensed 30-meter imagery and precipitation derived from locally downscaled spatially explicit data. In the sagebrush ecosystem, underlying soil conditions also contribute strongly to variation in resilience to disturbance and resistance to plant community changes (R&R). Thus, we developed predictions from models of post-wildfire recovery and chronic effects of wildfire based on three spatially explicit R&R classes derived from soil moisture and temperature regimes. We found evidence of an interaction between the effects of wildfire (chronically affected burned area within 5 kilometers of a lek) and climatic conditions (spring through fall precipitation) after accounting for a consistent density-dependent effect. Specifically, burned areas near leks nullifies population growth that normally follows years with relatively high precipitation. In models, this effect results in long-term population declines for sage-grouse despite cyclic periods of high precipitation. Based on 30-year projections of burn and recovery rates, our population model predicted steady and substantial long-term declines in population size across the Great Basin. Further, example management scenarios that may help offset adverse wildfire effects are provided by models of varying levels of fire suppression and post-wildfire restoration that focus on areas especially important to sage-grouse populations. These models illustrate how sage-grouse population persistence likely will be compromised as sagebrush ecosystems and sage-grouse habitat are degraded by wildfire, especially in a warmer and drier climate, and by invasion of annual grasses that can increase wildfire frequency and size in the Great Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151165","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Coates, P.S., Ricca, M.A., Prochazka, B.G., Doherty, K.E., Brooks, M.L., and Casazza, M.L., 2015, Long-term effects of wildfire on greater sage-grouse—Integrating population and ecosystem concepts for management in the Great Basin: U.S. Geological Survey Open-File Report 2015–1165, 42 p., https://dx.doi.org/10.3133/ofr20151165.","productDescription":"Report: vi, 42 p.; Dataset","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067577","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438684,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K35RRS","text":"USGS data release","linkHelpText":"Long-term effects of wildfire on greater sage-grouse - integrating population and ecosystem concepts for management in the Great Basin"},{"id":307537,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1165/ofr20151165.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1165 PDF"},{"id":307539,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1165/coverthb.jpg"},{"id":321005,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7K35RRS","text":"Data release"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.03881835937499,\n 44.879228141635274\n ],\n [\n -113.97216796875,\n 45.72152152227954\n ],\n [\n -121.5087890625,\n 45.706179285330855\n ],\n [\n -122.49755859375,\n 40.713955826286046\n ],\n [\n -118.69628906249999,\n 35.53222622770337\n ],\n [\n -114.5654296875,\n 34.88593094075317\n ],\n [\n -112.30224609374999,\n 37.020098201368114\n ],\n [\n -110.54443359375,\n 40.9964840143779\n ],\n [\n -111.03881835937499,\n 44.879228141635274\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
http://werc.usgs.gov/
Estimates of the seasonal and interannual exchanges of carbon dioxide (CO2) and methane (CH4) between land ecosystems north of 45°N and the atmosphere are poorly constrained, in part, because of uncertainty in the temporal variability of water-inundated land area. Here we apply a process-based biogeochemistry model to evaluate how interannual changes in wetland inundation extent might have influenced the overall carbon dynamics of the region during the time period 1993–2004. We find that consideration by our model of these interannual variations between 1993 and 2004, on average, results in regional estimates of net methane sources of 67.8 ± 6.2 Tg CH4 yr−1, which is intermediate to model estimates that use two static inundation extent datasets (51.3 ± 2.6 and 73.0 ± 3.6 Tg CH4 yr−1). In contrast, consideration of interannual changes of wetland inundation extent result in regional estimates of the net CO2 sink of −1.28 ± 0.03 Pg C yr−1 with a persistent wetland carbon sink from −0.38 to −0.41 Pg C yr−1 and a upland sink from −0.82 to −0.98 Pg C yr−1. Taken together, despite the large methane emissions from wetlands, the region is a consistent greenhouse gas sink per global warming potential (GWP) calculations irrespective of the type of wetland datasets being used. However, the use of satellite-detected wetland inundation extent estimates a smaller regional GWP sink than that estimated using static wetland datasets. Our sensitivity analysis indicates that if wetland inundation extent increases or decreases by 10% in each wetland grid cell, the regional source of methane increases 13% or decreases 12%, respectively. In contrast, the regional CO2 sink responds with only 7–9% changes to the changes in wetland inundation extent. Seasonally, the inundated area changes result in higher summer CH4 emissions, but lower summer CO2 sinks, leading to lower summer negative greenhouse gas forcing. Our analysis further indicates that wetlands play a disproportionally important role in affecting regional greenhouse gas budgets given that they only occupy approximately 10% of the total land area in the region.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London","doi":"10.1088/1748-9326/10/9/095009","usgsCitation":"Zhuang, Q., Zhu, X., He, Y., Prigent, C., Melillo, J.M., McGuire, A.D., Prinn, R.G., and Kicklighter, D.W., 2015, Influence of changes in wetland inundation extent on net fluxes of carbon dioxide and methane in northern high latitudes from 1993 to 2004: Environmental Research Letters, v. 10, no. 9, 13 p., https://doi.org/10.1088/1748-9326/10/9/095009.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044010","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471798,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/10/9/095009","text":"Publisher Index Page"},{"id":318558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-10","publicationStatus":"PW","scienceBaseUri":"56dabfe5e4b015c306f84cb3","contributors":{"authors":[{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":621888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Xudong","contributorId":19684,"corporation":false,"usgs":true,"family":"Zhu","given":"Xudong","email":"","affiliations":[],"preferred":false,"id":621889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"He, Yujie","contributorId":32444,"corporation":false,"usgs":true,"family":"He","given":"Yujie","affiliations":[],"preferred":false,"id":621890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prigent, Catherine","contributorId":167345,"corporation":false,"usgs":false,"family":"Prigent","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":621891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melillo, Jerry M.","contributorId":87847,"corporation":false,"usgs":false,"family":"Melillo","given":"Jerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":621892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":621844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prinn, Ronald G.","contributorId":69046,"corporation":false,"usgs":true,"family":"Prinn","given":"Ronald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":621893,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kicklighter, David W.","contributorId":48872,"corporation":false,"usgs":false,"family":"Kicklighter","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":621894,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70157148,"text":"70157148 - 2015 - Legacy effects of wildfire on stream thermal regimes and rainbow trout ecology: an integrated analysis of observation and individual-based models","interactions":[],"lastModifiedDate":"2017-11-22T17:42:47","indexId":"70157148","displayToPublicDate":"2015-09-10T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Legacy effects of wildfire on stream thermal regimes and rainbow trout ecology: an integrated analysis of observation and individual-based models","docAbstract":"Management of aquatic resources in fire-prone areas requires understanding of fish species’ responses to wildfire and of the intermediate- and long-term consequences of these disturbances. We examined Rainbow Trout populations in 9 headwater streams 10 y after a major wildfire: 3 with no history of severe wildfire in the watershed (unburned), 3 in severely burned watersheds (burned), and 3 in severely burned watersheds subjected to immediate events that scoured the stream channel and eliminated streamside vegetation (burned and reorganized). Results of a previous study of this system suggested the primary lasting effects of this wildfire history on headwater stream habitat were differences in canopy cover and solar radiation, which led to higher summer stream temperatures. Nevertheless, trout were present throughout streams in burned watersheds. Older age classes were least abundant in streams draining watersheds with a burned and reorganized history, and individuals >1 y old were most abundant in streams draining watersheds with an unburned history. Burned history corresponded with fast growth, low lipid content, and early maturity of Rainbow Trout. We used an individual-based model of Rainbow Trout growth and demographic patterns to determine if temperature interactions with bioenergetics and competition among individuals could lead to observed phenotypic and ecological differences among populations in the absence of other plausible mechanisms. Modeling suggested that moderate warming associated with wildfire and channel disturbance history leads to faster individual growth, which exacerbates competition for limited food, leading to decreases in population densities. The inferred mechanisms from this modeling exercise suggest the transferability of ecological patterns to a variety of temperature-warming scenarios.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/683338","usgsCitation":"Rosenberger, A.E., Dunham, J., Neuswanger, J.R., and Railsback, S.F., 2015, Legacy effects of wildfire on stream thermal regimes and rainbow trout ecology: an integrated analysis of observation and individual-based models: Freshwater Science, v. 34, no. 4, p. 1571-1584, https://doi.org/10.1086/683338.","productDescription":"14 p.","startPage":"1571","endPage":"1584","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059107","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":308055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Boise River, Boise National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.45507812500001,\n 43.52465500687185\n ],\n [\n -116.45507812500001,\n 44.68427737181225\n ],\n [\n -114.92248535156249,\n 44.68427737181225\n ],\n [\n -114.92248535156249,\n 43.52465500687185\n ],\n [\n -116.45507812500001,\n 43.52465500687185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f29ba9e4b0dacf699ec695","contributors":{"authors":[{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":571936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. jdunham@usgs.gov","contributorId":147527,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neuswanger, Jason R.","contributorId":15530,"corporation":false,"usgs":true,"family":"Neuswanger","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":571937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Railsback, Steven F.","contributorId":147528,"corporation":false,"usgs":false,"family":"Railsback","given":"Steven","email":"","middleInitial":"F.","affiliations":[{"id":16859,"text":"Lang, Railsback, and Associates","active":true,"usgs":false}],"preferred":false,"id":571938,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157078,"text":"fs20153062 - 2015 - Changing arctic ecosystems—What is causing the rapid increase of snow geese in northern Alaska?","interactions":[],"lastModifiedDate":"2018-07-14T14:37:29","indexId":"fs20153062","displayToPublicDate":"2015-09-10T11:45:00","publicationYear":"2015","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":"2015-3062","title":"Changing arctic ecosystems—What is causing the rapid increase of snow geese in northern Alaska?","docAbstract":"Through the Changing Arctic Ecosystems (CAE) initiative, the U.S. Geological Survey (USGS) informs key resource management decisions for Arctic Alaska by providing scientific information on current and future ecosystem response to a warming climate. The Arctic Coastal Plain (ACP) of northern Alaska is a key study area within the USGS CAE initiative. This region has experienced a warming trend over the past decades, leading to decreased sea ice, permafrost thaw, and an advancement of spring phenology. The number of birds on the ACP also is changing, marked by increased populations of the four species of geese that nest in the region. The Snow Goose (Chen caerulescens) is the most rapidly increasing of these species. USGS CAE research is quantifying these changes and their implications for management agencies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153062","usgsCitation":"Hupp, J.W., Ward, D.H., Whalen, M.E., and Pearce, J.M., 2015, Changing Arctic ecosystems—What is causing the rapid increase of Snow Geese in northern Alaska?: U.S. Geological Survey Fact Sheet 2015-3062, 2 p., https://dx.doi.org/10.3133/fs20153062.","productDescription":"Report: 2 p.; HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068563","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":308049,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3062/images/coverthb.jpg"},{"id":308051,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3062/","text":"Fact Sheet HTML","description":"HTML version of FS 2015-3062"},{"id":308050,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3062/pdf/fs20153062.pdf","text":"Fact Sheet","size":"375 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3062"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.8623046875,\n 68.77619083759828\n ],\n [\n -158.8623046875,\n 70.48089578887483\n ],\n [\n -150.22705078124997,\n 70.48089578887483\n ],\n [\n -150.22705078124997,\n 68.77619083759828\n ],\n [\n -158.8623046875,\n 68.77619083759828\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"U.S. Geological Survey
4210 University Drive, Anchorage, AK 99508
http://alaska.usgs.gov
Detailed geodetic imaging of earthquake rupture enhances our understanding of earthquake physics and induced ground shaking. The April 25, 2015 Mw 7.8 Gorkha, Nepal earthquake is the first example of a large continental megathrust rupture beneath a high-rate (5 Hz) GPS network. We use GPS and InSAR data to model the earthquake rupture as a slip pulse of ~20 km width, ~6 s duration, and with peak sliding velocity of 1.1 m/s that propagated toward Kathmandu basin at ~3.3 km/s over ~140 km. The smooth slip onset, indicating a large ~5 m slip-weakening distance, caused moderate ground shaking at high >1Hz frequencies (~16% g) and limited damage to regular dwellings. Whole basin resonance at 4-5 s period caused collapse of tall structures, including cultural artifacts.
","language":"English","publisher":"AAAS","doi":"10.1126/science.aac6383","usgsCitation":"Galetzka, J., Melgar, D., Genrich, J., Geng, J., Owen, S., Lindsey, E.O., Xu, X., Bock, Y., Avouac, J., Adhikari, L.B., Upreti, B.N., Pratt-Sitaula, B., Bhattarai, T.N., Sitaula, B.P., Moore, A., Hudnut, K.W., Szeliga, W., Normandeau, J., Fend, M., Flouzat, M., Bollinger, L., Shrestha, P., Koirala, B., Gautam, U., Bhatterai, M., Gupta, R., Kandel, T., Timsina, C., Sapkota, S., Rajaure, S., and Maharjan, N., 2015, Slip pulse and resonance of Kathmandu basin during the 2015 Mw 7.8 Gorkha earthquake, Nepal imaged with space geodesy: Science, v. 349, no. 6252, p. 1091-1095, https://doi.org/10.1126/science.aac6383.","productDescription":"5 p.","startPage":"1091","endPage":"1095","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067207","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471799,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.repository.cam.ac.uk/handle/1810/249076","text":"External Repository"},{"id":308054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","state":"Gorkha","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 84.22943115234375,\n 27.685960229871625\n ],\n [\n 84.22943115234375,\n 28.096212229438105\n ],\n [\n 84.869384765625,\n 28.096212229438105\n ],\n [\n 84.869384765625,\n 27.685960229871625\n ],\n [\n 84.22943115234375,\n 27.685960229871625\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"349","issue":"6252","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f29bace4b0dacf699ec69c","contributors":{"authors":[{"text":"Galetzka, John","contributorId":147535,"corporation":false,"usgs":false,"family":"Galetzka","given":"John","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":571950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melgar, D.","contributorId":147565,"corporation":false,"usgs":false,"family":"Melgar","given":"D.","affiliations":[],"preferred":false,"id":572046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genrich, J.F.","contributorId":42374,"corporation":false,"usgs":true,"family":"Genrich","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":572047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geng, J.","contributorId":147566,"corporation":false,"usgs":false,"family":"Geng","given":"J.","email":"","affiliations":[],"preferred":false,"id":572048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Owen, S.","contributorId":147567,"corporation":false,"usgs":false,"family":"Owen","given":"S.","email":"","affiliations":[],"preferred":false,"id":572049,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindsey, E. 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However, the resulting sagebrush establishment is often lower than desired, especially in dry areas. Sagebrush establishment may be increased by addressing factors such as seed source and condition or management of the plant community. We assessed initial establishment of seeded sagebrush and four populations of small outplants (from different geographies, climates, and cytotypes) and small sagebrush outplants in an early seral community where mowing, herbicide, and seeding of other native plants had been experimentally applied. No emergence of seeded sagebrush was detected. Mowing the site before planting seedlings led to greater initial survival probabilities for sagebrush outplants, except where seeding also occurred, and these effects were related to corresponding changes in bare soil exposure. Initial survival probabilities were > 30% greater for the local population of big sagebrush relative to populations imported to the site from typical seed transfer distances of ~320–800 km. 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","language":"English","publisher":"Science Direct","doi":"10.1016/j.rama.2015.07.001","usgsCitation":"Brabec, M., Germino, M., Shinneman, D.J., Pilliod, D., McIlroy, S.K., and Arkle, R., 2015, Challenges of establishing big sgebrush (Artemisia tridentata) in rangeland restoration: effects of herbicide, mowing, whole-community seeding, and sagebrush seed sources: Rangeland Ecology and Management, v. 68, no. 5, p. 432-435, https://doi.org/10.1016/j.rama.2015.07.001.","productDescription":"4 p.","startPage":"432","endPage":"435","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060370","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":308052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308034,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S1550742415000950"}],"volume":"68","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f29ba7e4b0dacf699ec691","contributors":{"authors":[{"text":"Brabec, Martha M. mbrabec@usgs.gov","contributorId":147542,"corporation":false,"usgs":true,"family":"Brabec","given":"Martha M.","email":"mbrabec@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. mgermino@usgs.gov","contributorId":146934,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147059,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":147050,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":4649,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":147051,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":571976,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70157157,"text":"70157157 - 2015 - Avian influenza H5N1 viral and bird migration networks in Asia","interactions":[],"lastModifiedDate":"2017-07-25T16:04:42","indexId":"70157157","displayToPublicDate":"2015-09-10T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza H5N1 viral and bird migration networks in Asia","docAbstract":"The spatial spread of the highly pathogenic avian influenza virus H5N1 and its long-term persistence in Asia have resulted in avian influenza panzootics and enormous economic losses in the poultry sector. 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