The U.S. Geological Survey (USGS) is sponsoring the first The National Map Users Conference in conjunction with the eighth biennial Geographic Information Science (GIS) Workshop on May 10-13, 2011, in Lakewood, Colorado. The GIS Workshop will be held at the USGS National Training Center, located on the Denver Federal Center, Lakewood, Colorado, May 10-11. The National Map Users Conference will be held directly after the GIS Workshop at the Denver Marriott West, a convention hotel in the Lakewood, Colorado area, May 12-13.
\nThe National Map is designed to serve the Nation by providing geographic data and knowledge for government, industry, and public uses. The goal of The National Map Users Conference is to enhance communications and collaboration among the communities of users of and contributors to The National Map, including USGS, Department of the Interior, and other government GIS specialists and scientists, as well as the broader geospatial community. The USGS National Geospatial Program intends the conference to serve as a forum to engage users and more fully discover and meet their needs for the products and services of The National Map.
\nThe goal of the GIS Workshop is to promote advancement of GIS and related technologies and concepts as well as the sharing of GIS knowledge within the USGS GIS community. This collaborative opportunity for multi-disciplinary GIS and associated professionals will allow attendees to present and discuss a wide variety of geospatial-related topics.
\nThe Users Conference and Workshop collaboration will bring together scientists, managers, and data users who, through presentations, posters, seminars, workshops, and informal gatherings, will share accomplishments and progress on a variety of geospatial topics. During this joint event, attendees will have the opportunity to present or demonstrate their work; to develop their knowledge by attending hands-on workshops, seminars, and presentations given by professionals from USGS and other Federal Agencies, GIS related companies, and academia; and to network with other professionals to develop collaborative opportunities.
\nSpecific conference topics include scientific and modeling applications using The National Map, opportunities for partnerships, and advances in geospatial technologies.
\nThe first part of the week will be the GIS Workshop, offered as a pre-conference seminar. It will focus on hands-on GIS training and seminars concerning current topics of geospatial interest. The focus of the USGS GIS Workshop is to showcase specific techniques and concepts for using GIS in support of science. The presentations will be educational and not a marketing endeavor. To promote awareness of and interaction with selected USGS corporate and local science center data products, as well as promoting collaboration, a “GIS Olympics” event will be held Tuesday evening during the GIS Workshop.
\nThe second part of the week will feature interactive briefings and discussions on issues and opportunities of The National Map. The focus of the Users Conference will be on the role of The National Map in supporting science initiatives, emergency response, land and wildlife management, and other activities. All presentations at the Users Conference include use or innovations related to a The National Map data theme or application. On Wednesday evening, a poster session is being held as a combined event for all attendees and as a juncture between the events. On Thursday evening, the Henry Gannett Award will be presented. Additionally, poster awards will be presented.
\nSeveral prominent speakers are featured at plenary sessions at The National Map Users Conference, including Deanna A. Archuleta, Deputy Assistant Secretary for Water and Science, Department of the Interior; Dr. Barbara P. Buttenfield, Professor of Geography at the University of Colorado in Boulder; best-selling author Frederick Reuss; and Dr. Joel Scheraga, Senior Advisor for Climate Adaptation, U.S. Environmental Protection Agency. Additionally, panel discussions have attracted participation from notable experts from government, academia, and the private sector.
\nThis Proceedings volume will serve as an activity reference for workshop attendees, as well as an archive of technical abstracts presented at the workshop. Author, co-author, and presenter names, affiliations, and contact information are listed with presentation titles with the abstracts. Some hands-on sessions are offered twice; in these instances, abstracts submitted for publication are presented in the proceedings on both days on which they are offered.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115053","issn":"2328-0328","usgsCitation":"2014, Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011: U.S. Geological Survey Scientific Investigations Report 2011-5053, xiii, 91 p., https://doi.org/10.3133/sir20115053.","productDescription":"xiii, 91 p.","numberOfPages":"112","onlineOnly":"Y","temporalStart":"2011-05-10","temporalEnd":"2011-05-13","ipdsId":"IP-028727","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":287634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115053.jpg"},{"id":287633,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5053/pdf/sir2011-5053.pdf"},{"id":287632,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5053/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239f7","contributors":{"editors":[{"text":"Sieverling, Jennifer B. jbsiever@usgs.gov","contributorId":4806,"corporation":false,"usgs":true,"family":"Sieverling","given":"Jennifer","email":"jbsiever@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":728631,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dietterle, Jeffrey jdietterle@usgs.gov","contributorId":4150,"corporation":false,"usgs":true,"family":"Dietterle","given":"Jeffrey","email":"jdietterle@usgs.gov","affiliations":[],"preferred":true,"id":728632,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70093208,"text":"sir20145021 - 2014 - Simulation of natural flows in major river basins in Alabama","interactions":[],"lastModifiedDate":"2014-05-27T15:20:17","indexId":"sir20145021","displayToPublicDate":"2014-05-27T15:14:00","publicationYear":"2014","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":"2014-5021","title":"Simulation of natural flows in major river basins in Alabama","docAbstract":"The Office of Water Resources (OWR) in the Alabama Department of Economic and Community Affairs (ADECA) is charged with the assessment of the State’s water resources. This study developed a watershed model for the major river basins that are within Alabama or that cross Alabama’s borders, which serves as a planning tool for water-resource decisionmakers. The watershed model chosen to assess the natural amount of available water was the Precipitation-Runoff Modeling System (PRMS). Models were configured and calibrated for the following four river basins: Mobile, Gulf of Mexico, Middle Tennessee, and Chattahoochee. These models required calibrating unregulated U.S. Geological Survey (USGS) streamflow gaging stations to estimate natural flows, with emphases on low-flow calibration. The target calibration criteria required the errors be within the range of: (1) ±10 percent for total-streamflow volume, (2) ±10 percent for low-flow volume, (3) ±15 percent for high-flow volume, (4) ±30 percent for summer volume, and (5) above 0.5 for the correlation coefficient (R2). Seventy-one of the 90 calibration stations in the watershed models for the four major river basins within Alabama met the target calibration criteria. Variability in the model performance can be attributed to limitations in correctly representing certain hydrologic conditions that are characterized by some of the ecoregions in Alabama. Ecoregions consisting of predominantly clayey soils and (or) low topographic relief yield less successful calibration results, whereas ecoregions consisting of loamy and sandy soils and (or) high topographic relief yield more successful calibration results. Results indicate that the model does well in hilly regions with sandy soils because of rapid surface runoff and more direct interaction with subsurface flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145021","collaboration":"Prepared in cooperation with the Alabama Department of Economic and Community Affairs—Office of Water Resources","usgsCitation":"Hunt, A.M., and García, A., 2014, Simulation of natural flows in major river basins in Alabama: U.S. Geological Survey Scientific Investigations Report 2014-5021, Report: vi, 32 p.; Appendix 1; Downloads Directory, https://doi.org/10.3133/sir20145021.","productDescription":"Report: vi, 32 p.; Appendix 1; Downloads Directory","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049894","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":287629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145021.jpg"},{"id":287627,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5021/appendix/sir2014-5021_appendix1.pdf"},{"id":287628,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5021/downloads"},{"id":287625,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5021/"},{"id":287626,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5021/pdf/sir2014-5021.pdf"}],"country":"United States","state":"Alabama","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,29.5 ], [ -90.0,37.01 ], [ -82.99,37.01 ], [ -82.99,29.5 ], [ -90.0,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239fb","contributors":{"authors":[{"text":"Hunt, Alexandria M. amhunt@usgs.gov","contributorId":4927,"corporation":false,"usgs":true,"family":"Hunt","given":"Alexandria","email":"amhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"García, Ana María","contributorId":9172,"corporation":false,"usgs":true,"family":"García","given":"Ana María","affiliations":[],"preferred":false,"id":489981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70110604,"text":"70110604 - 2014 - Mercury speciation in the Mt. Amiata mining district (Italy): interplay between urban activities and mercury contamination","interactions":[],"lastModifiedDate":"2014-05-27T11:41:54","indexId":"70110604","displayToPublicDate":"2014-05-27T11:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury speciation in the Mt. Amiata mining district (Italy): interplay between urban activities and mercury contamination","docAbstract":"A fundamental step to evaluate the biogeochemical and eco-toxicological significance of Hg dispersion in the environment is to determine speciation of Hg in solid matrices. In this study, several analytical techniques such as scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS), sequential chemical extractions (SCEs), and X-ray absorption spectroscopy (XANES) were used to identify Hg compounds and Hg speciation in samples collected from the Mt. Amiata Hg mining district, southern Tuscany, Italy. Different geological materials, such as mine waste calcine (retorted ore), soil, stream sediment, and stream water suspended particulate matter were analyzed. Results show that the samples were generally composed of highly insoluble Hg compounds such as sulphides (HgS, cinnabar and metacinnabar), and more soluble Hg halides such as those associated with the mosesite group. Other moderately soluble Hg compounds, HgCl2, HgO and Hg0, were also identified in stream sediments draining the mining area. The presence of these minerals suggests active and continuous runoff of soluble Hg compounds from calcines, where such Hg compounds form during retorting, or later in secondary processes. Specifically, we suggest that, due to the proximity of Hg mines to the urban center of Abbadia San Salvatore, the influence of other anthropogenic activities was a key factor for Hg speciation, resulting in the formation of unusual Hg-minerals such as mosesite.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2014.04.023","usgsCitation":"Rimondi, V., Bardelli, F., Benvenuti, M., Costagliola, P., Gray, J.E., and Lattanzi, P., 2014, Mercury speciation in the Mt. Amiata mining district (Italy): interplay between urban activities and mercury contamination: Chemical Geology, v. 380, p. 110-118, https://doi.org/10.1016/j.chemgeo.2014.04.023.","productDescription":"9 p.","startPage":"110","endPage":"118","numberOfPages":"9","ipdsId":"IP-054601","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":287594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287588,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2014.04.023"}],"country":"Italy","state":"Tuscany","otherGeospatial":"Mt. Amiata","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 10.4496,42.2384 ], [ 10.4496,43.3988 ], [ 12.3714,43.3988 ], [ 12.3714,42.2384 ], [ 10.4496,42.2384 ] ] ] } } ] }","volume":"380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d4e4b09e18fc0239ef","contributors":{"authors":[{"text":"Rimondi, Valentina","contributorId":27772,"corporation":false,"usgs":true,"family":"Rimondi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":494090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bardelli, Fabrizio","contributorId":98645,"corporation":false,"usgs":true,"family":"Bardelli","given":"Fabrizio","email":"","affiliations":[],"preferred":false,"id":494093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benvenuti, Marco","contributorId":44083,"corporation":false,"usgs":true,"family":"Benvenuti","given":"Marco","email":"","affiliations":[],"preferred":false,"id":494091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costagliola, Pilario","contributorId":106404,"corporation":false,"usgs":true,"family":"Costagliola","given":"Pilario","email":"","affiliations":[],"preferred":false,"id":494094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lattanzi, Pierfranco","contributorId":87845,"corporation":false,"usgs":true,"family":"Lattanzi","given":"Pierfranco","affiliations":[],"preferred":false,"id":494092,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134680,"text":"70134680 - 2014 - Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:25:23","indexId":"70134680","displayToPublicDate":"2014-05-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska","docAbstract":"A total of 842 blood samples collected from five species of tundra-nesting geese in Alaska was screened for haemosporidian parasites using molecular techniques. Parasites of the generaLeucocytozoon Danilewsky, 1890, Haemoproteus Kruse, 1890, and Plasmodium Marchiafava and Celli, 1885 were detected in 169 (20%), 3 (<1%), and 0 (0%) samples, respectively. Occupancy modeling was used to estimate prevalence of Leucocytozoon parasites and assess variation relative to species, age, sex, geographic area, year, and decade. Species, age, and decade were identified as important in explaining differences in prevalence of Leucocytozoonparasites. Leucocytozoon parasites were detected in goslings sampled along the Arctic Coastal Plain using both historic and contemporary samples, which provided support for transmission in the North American Arctic. In contrast, lack of detection of Haemoproteus and Plasmodiumparasites in goslings (n = 238) provided evidence to suggest that the transmission of parasites of these genera may not occur among waterfowl using tundra habitats in Alaska, or alternatively, may only occur at low levels. Five haemosporidian genetic lineages shared among different species of geese sampled from two geographic areas were indicative of interspecies parasite transmission and supported broad parasite or vector distributions. However, identicalLeucocytozoon and Haemoproteus lineages on public databases were limited to waterfowl hosts suggesting constraints in the range of parasite hosts.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2014-0041","usgsCitation":"Ramey, A.M., Reed, J.A., Schmutz, J.A., Fondell, T.F., Meixell, B.W., Hupp, J.W., Ward, D.H., Terenzi, J., and Ely, C.R., 2014, Prevalence, transmission, and genetic diversity of blood parasites infecting tundra-nesting geese in Alaska: Canadian Journal of Zoology, v. 92, no. 8, p. 699-706, https://doi.org/10.1139/cjz-2014-0041.","productDescription":"8 p.","startPage":"699","endPage":"706","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054447","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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tsunami","interactions":[],"lastModifiedDate":"2016-12-14T11:45:12","indexId":"70109244","displayToPublicDate":"2014-05-23T15:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami","docAbstract":"Correctly characterizing tsunami source generation is the most critical component of modern tsunami forecasting. Although difficult to quantify directly, a tsunami source can be modeled via different methods using a variety of measurements from deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some of which in or near real time. Here we assess the performance of different source models for the destructive 11 March 2011 Japan tsunami using model–data comparison for the generation, propagation, and inundation in the near field of Japan. This comparative study of tsunami source models addresses the advantages and limitations of different real-time measurements with potential use in early tsunami warning in the near and far field. The study highlights the critical role of deep-ocean tsunami measurements and rapid validation of the approximate tsunami source for high-quality forecasting. We show that these tsunami measurements are compatible with other real-time geodetic data, and may provide more insightful understanding of tsunami generation from earthquakes, as well as from nonseismic processes such as submarine landslide failures.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-014-0777-z","usgsCitation":"Yong, W., Newman, A.V., Hayes, G., Titov, V.V., and Tang, L., 2014, Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami: Pure and Applied Geophysics, v. 171, no. 12, p. 3281-3305, https://doi.org/10.1007/s00024-014-0777-z.","productDescription":"25 p.","startPage":"3281","endPage":"3305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053877","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":287572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287571,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-014-0777-z"}],"country":"Japan","otherGeospatial":"Honshu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 130.0,25.0 ], [ 130.0,50.0 ], [ 160.0,50.0 ], [ 160.0,25.0 ], [ 130.0,25.0 ] ] ] } } ] }","volume":"171","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-04-19","publicationStatus":"PW","scienceBaseUri":"538052c8e4b0826cd50169fa","contributors":{"authors":[{"text":"Yong, Wei","contributorId":19083,"corporation":false,"usgs":true,"family":"Yong","given":"Wei","email":"","affiliations":[],"preferred":false,"id":494033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Andrew V.","contributorId":32664,"corporation":false,"usgs":true,"family":"Newman","given":"Andrew","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":494032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Titov, Vasily V.","contributorId":67312,"corporation":false,"usgs":true,"family":"Titov","given":"Vasily","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":494036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Liujuan","contributorId":34045,"corporation":false,"usgs":true,"family":"Tang","given":"Liujuan","email":"","affiliations":[],"preferred":false,"id":494035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70110389,"text":"70110389 - 2014 - Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem","interactions":[],"lastModifiedDate":"2014-05-23T14:33:55","indexId":"70110389","displayToPublicDate":"2014-05-23T14:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem","docAbstract":"Tsunami vertical-evacuation (TVE) refuges can be effective risk-reduction options for coastal communities with local tsunami threats but no accessible high ground for evacuations. Deciding where to locate TVE refuges is a complex risk-management question, given the potential for conflicting stakeholder priorities and multiple, suitable sites. We use the coastal community of Ocean Shores (Washington, USA) and the local tsunami threat posed by Cascadia subduction zone earthquakes as a case study to explore the use of geospatial, multi-criteria decision analysis for framing the locational problem of TVE siting. We demonstrate a mixed-methods approach that uses potential TVE sites identified at community workshops, geospatial analysis to model changes in pedestrian evacuation times for TVE options, and statistical analysis to develop metrics for comparing population tradeoffs and to examine influences in decision making. Results demonstrate that no one TVE site can save all at-risk individuals in the community and each site provides varying benefits to residents, employees, customers at local stores, tourists at public venues, children at schools, and other vulnerable populations. The benefit of some proposed sites varies depending on whether or not nearby bridges will be functioning after the preceding earthquake. Relative rankings of the TVE sites are fairly stable under various criteria-weighting scenarios but do vary considerably when comparing strategies to exclusively protect tourists or residents. The proposed geospatial framework can serve as an analytical foundation for future TVE siting discussions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Disaster Risk Reduction","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2014.04.009","usgsCitation":"Wood, N., Jones, J., Schelling, J., and Schmidtlein, M., 2014, Tsunami vertical-evacuation planning in the U.S. Pacific Northwest as a geospatial, multi-criteria decision problem: International Journal of Disaster Risk Reduction, v. 9, p. 68-83, https://doi.org/10.1016/j.ijdrr.2014.04.009.","productDescription":"16 p.","startPage":"68","endPage":"83","numberOfPages":"16","ipdsId":"IP-053479","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2014.04.009","text":"Publisher Index Page"},{"id":287570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287561,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ijdrr.2014.04.009"}],"country":"United States","state":"Washington","county":"Grays Harbor County","city":"Ocean Shores","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.180178,46.926625 ], [ -124.180178,47.045563 ], [ -124.097997,47.045563 ], [ -124.097997,46.926625 ], [ -124.180178,46.926625 ] ] ] } } ] }","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538052c8e4b0826cd50169fe","contributors":{"authors":[{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":494054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Jeanne","contributorId":50444,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","affiliations":[],"preferred":false,"id":494053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schelling, John","contributorId":49707,"corporation":false,"usgs":true,"family":"Schelling","given":"John","email":"","affiliations":[],"preferred":false,"id":494052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidtlein, Mathew","contributorId":31682,"corporation":false,"usgs":true,"family":"Schmidtlein","given":"Mathew","affiliations":[],"preferred":false,"id":494051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103371,"text":"sir20145079 - 2014 - Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota","interactions":[],"lastModifiedDate":"2014-05-23T14:26:24","indexId":"sir20145079","displayToPublicDate":"2014-05-23T14:15:00","publicationYear":"2014","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":"2014-5079","title":"Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota","docAbstract":"Digital flood-inundation maps for a 6.3-mile reach of the Mississippi River in Saint Paul, Minnesota, were developed through a multi-agency effort by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers and in collaboration with the National Weather Service. The inundation maps, which can be accessed through the U.S. Geological Survey Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the National Weather Service Advanced Hydrologic Prediction Service site at http://water.weather.gov/ahps/inundation.php, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey streamgage at the Mississippi River at Saint Paul (05331000). The National Weather Service forecasted peak-stage information at the streamgage may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.
\nIn this study, flood profiles were computed for the Mississippi River by means of a one-dimensional step-backwater model. The hydraulic model was calibrated using the most recent stage-discharge relation at the Robert Street location (rating curve number 38.0) of the Mississippi River at Saint Paul (streamgage 05331000), as well as an approximate water-surface elevation-discharge relation at the Mississippi River at South Saint Paul (U.S. Army Corps of Engineers streamgage SSPM5). The model also was verified against observed high-water marks from the recent 2011 flood event and the water-surface profile from existing flood insurance studies. The hydraulic model was then used to determine 25 water-surface profiles for flood stages at 1-foot intervals ranging from approximately bankfull stage to greater than the highest recorded stage at streamgage 05331000. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from high-resolution topography data, to delineate potential areas flooded and to determine the water depths within the inundated areas for each stage at streamgage 05331000.
\nThe availability of these maps along with information regarding current stage at the U.S. Geological Survey streamgage and forecasted stages from the National Weather Service provides enhanced flood warning and visualization of the potential effects of a forecasted flood for the city of Saint Paul and its residents. The maps also can aid in emergency management planning and response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145079","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Czuba, C.R., Fallon, J.D., Lewis, C.R., and Cooper, D.F., 2014, Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota: U.S. Geological Survey Scientific Investigations Report 2014-5079, Report: vii, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20145079.","productDescription":"Report: vii, 24 p.; Downloads Directory","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045357","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":287569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145079.jpg"},{"id":287564,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5079/"},{"id":287568,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5079/downloads/"},{"id":287567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5079/pdf/sir2014-5079.pdf"}],"projection":"Web Mercator (Auxiliary Sphere) projection","datum":"World Geodectic System 1984","country":"United States","state":"Minnesota","city":"Saint Paul","otherGeospatial":"Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.15028,44.904788 ], [ -93.15028,44.97016 ], [ -92.999857,44.97016 ], [ -92.999857,44.904788 ], [ -93.15028,44.904788 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538051c6e4b0826cd50164ad","contributors":{"authors":[{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, James D. jfallon@usgs.gov","contributorId":3417,"corporation":false,"usgs":true,"family":"Fallon","given":"James","email":"jfallon@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":493276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Corby R.","contributorId":25082,"corporation":false,"usgs":true,"family":"Lewis","given":"Corby","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Diane F.","contributorId":11952,"corporation":false,"usgs":true,"family":"Cooper","given":"Diane","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493278,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70108943,"text":"70108943 - 2014 - Assessing climate-change risks to cultural and natural resources in the Yakima River Basin, Washington, USA","interactions":[],"lastModifiedDate":"2014-05-23T14:13:21","indexId":"70108943","displayToPublicDate":"2014-05-23T13:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Assessing climate-change risks to cultural and natural resources in the Yakima River Basin, Washington, USA","docAbstract":"We provide an overview of an interdisciplinary special issue that examines the influence of climate change on people and fish in the Yakima River Basin, USA. Jenni et al. (2013) addresses stakeholder-relevant climate change issues, such as water availability and uncertainty, with decision analysis tools. Montag et al. (2014) explores Yakama Tribal cultural values and well-being and their incorporation into the decision-making process. Graves and Maule (2012) simulates effects of climate change on stream temperatures under baseline conditions (1981–2005) and two future climate scenarios (increased air temperature of 1 °C and 2 °C). Hardiman and Mesa (2013) looks at the effects of increased stream temperatures on juvenile steelhead growth with a bioenergetics model. Finally, Hatten et al. (2013) examines how changes in stream flow will affect salmonids with a rule-based fish habitat model. Our simulations indicate that future summer will be a very challenging season for salmonids when low flows and high water temperatures can restrict movement, inhibit or alter growth, and decrease habitat. While some of our simulations indicate salmonids may benefit from warmer water temperatures and increased winter flows, the majority of simulations produced less habitat. The floodplain and tributary habitats we sampled are representative of the larger landscape, so it is likely that climate change will reduce salmonid habitat potential throughout particular areas of the basin. Management strategies are needed to minimize potential salmonid habitat bottlenecks that may result from climate change, such as keeping streams cool through riparian protection, stream restoration, and the reduction of water diversions. An investment in decision analysis and support technologies can help managers understand tradeoffs under different climate scenarios and possibly improve water and fish conservation over the next century.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-014-1126-z","usgsCitation":"Hatten, J.R., Waste, S., and Maule, A.G., 2014, Assessing climate-change risks to cultural and natural resources in the Yakima River Basin, Washington, USA: Climatic Change, v. 124, no. 1-2, p. 363-370, https://doi.org/10.1007/s10584-014-1126-z.","productDescription":"8 p.","startPage":"363","endPage":"370","numberOfPages":"8","ipdsId":"IP-055186","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-014-1126-z","text":"Publisher Index Page"},{"id":287563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-014-1126-z"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,46.25 ], [ -121.5,47.50 ], [ -119.25,47.50 ], [ -119.25,46.25 ], [ -121.5,46.25 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"53805198e4b0826cd50163e0","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":494030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waste, Stephen M. swaste@usgs.gov","contributorId":3837,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen M.","email":"swaste@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":494031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":494029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116724,"text":"70116724 - 2014 - Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973-2013","interactions":[],"lastModifiedDate":"2017-01-12T11:04:30","indexId":"70116724","displayToPublicDate":"2014-05-23T09:25:51","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973-2013","docAbstract":"A homogeneous set of temperature measurements obtained from the DOI/GTN-P Deep Borehole Array between 1973 and 2013 is presented; DOI/GTN-P is the US Department of the Interior contribution to the Global Terrestrial Network for Permafrost (GTN-P). The 23-element array is located on the Arctic Slope of\nAlaska, a region of cold continuous permafrost. Most of the monitoring wells are situated on the Arctic coastal plain between the Brooks Range and the Arctic Ocean, while others are in the foothills to the south. The data represent the true temperatures in the wellbores and surrounding rocks at the time of the measurements; they have not been corrected to remove the thermal disturbance caused by drilling the wells. With a few exceptions, the drilling disturbance is estimated to have been on the order of 0.1 K or less by 1989. Thus, most of the temperature measurements acquired during the last 25 yr are little affected by the drilling disturbance. The data contribute to ongoing efforts to monitor changes in the thermal state of permafrost in both hemispheres by the Global Terrestrial Network for Permafrost, one of the primary subnetworks of the Global Terrestrial Observing\nSystem (GTOS). The data will also be useful for refining our basic understanding of the physical conditions in permafrost in Arctic Alaska, as well as providing important information for validating predictive models used for climate impact assessments. The processed data are available from the Advanced Cooperative Arctic Data and Information Service (ACADIS) repository at doi:10.5065/D6N014HK.","language":"English","publisher":"Copernicus Publications","publisherLocation":"Katlenberg-Lindau, Germany","doi":"10.5194/essd-6-201-2014","usgsCitation":"Clow, G.D., 2014, Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973-2013: Earth System Science Data, v. 6, p. 201-218, https://doi.org/10.5194/essd-6-201-2014.","productDescription":"18 p.","startPage":"201","endPage":"218","numberOfPages":"18","temporalStart":"1973-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-049505","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-6-201-2014","text":"Publisher Index Page"},{"id":290246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -163.00,68.50 ], [ -163.00,72.00 ], [ -140.00,72.00 ], [ -140.00,68.50 ], [ -163.00,68.50 ] ] ] } } ] }","volume":"6","noUsgsAuthors":false,"publicationDate":"2014-05-23","publicationStatus":"PW","scienceBaseUri":"53c79f18e4b01948416424ba","contributors":{"authors":[{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":495833,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70110347,"text":"sir20135165 - 2014 - Glacial geology of the Shingobee River headwaters area, north-central Minnesota","interactions":[],"lastModifiedDate":"2014-05-23T08:45:40","indexId":"sir20135165","displayToPublicDate":"2014-05-23T08:33:00","publicationYear":"2014","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":"2013-5165","title":"Glacial geology of the Shingobee River headwaters area, north-central Minnesota","docAbstract":"During middle and late Wisconsin time in the Shingobee River headwaters area, the Laurentide Wadena lobe, Hewitt and Itasca phases, produced terminal and ground moraine along with a variety of associated glacial features. The stratigraphic record is accessible and provides details of depositional mode as well as principal glacial events during the advance and retreat of middle and late Wisconsin ice tongues. Geomorphic features such as tunnel valleys, stream terraces, and postglacial stream cuts formed by erosional events persist to the present day. Middle Wisconsin Hewitt phase deposits are the oldest and include drumlins, ground moraine, boulder pavements, and outwash. Together, these deposits suggest a wet-based, periodically surging glacier in a subpolar thermal state. Regional permafrost and deposition from retreating ice are inferred between the end of the Hewitt phase and the advance of late Wisconsin Itasca phase ice. Itasca phase glaciation occurred as a contemporaneous pair of adjacent ice tongues whose contrasting moraine styles suggest independent flow modes. The western (Shingobee) portion of the Itasca moraine contains composite ridges, permafrost phenomena, hill-hole pairs, and debris flows. By contrast, eastern (Onigum) moraine deposits generally lack glaciotectonic features and consist almost exclusively of mud and debris flows.
\nNear the end of the Itasca phase, large-scale hill-hole pairs developed in the Shingobee division, and debris flows from the Onigum division blocked the preexisting Shingobee tunnel valley to form glacial lake Willobee. Postglacial streams formed deep valleys as glacial lake Willobee catastrophically drained. Dates based on temperature trends in Greenland ice cores are proposed for prominent glacial events in the Shingobee area. This report proposes that Hewitt phase glaciation occurred between 27.2 and 23.6 kiloannum and Itasca phase glaciation between 22.8 and 14.7 kiloannum. Des Moines lobe (Younger Dryas) glaciation, which had only secondary effects on the Shingobee headwaters area, occurred between 13.5 and 11.6 kiloannum.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135165","usgsCitation":"Melchior, R.C., 2014, Glacial geology of the Shingobee River headwaters area, north-central Minnesota: U.S. Geological Survey Scientific Investigations Report 2013-5165, v, 47 p., https://doi.org/10.3133/sir20135165.","productDescription":"v, 47 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-008426","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":287556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135165.jpg"},{"id":287554,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5165/"},{"id":287555,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5165/pdf/sir2013-5165.pdf"}],"country":"United States","state":"Minnesota","otherGeospatial":"Shingobee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5380520ae4b0826cd5016627","contributors":{"authors":[{"text":"Melchior, Robert C.","contributorId":79025,"corporation":false,"usgs":true,"family":"Melchior","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":494037,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70108189,"text":"70108189 - 2014 - Tailoring point counts for inference about avian density: dealing with nondetection and availability","interactions":[],"lastModifiedDate":"2014-05-22T15:21:04","indexId":"70108189","displayToPublicDate":"2014-05-22T15:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Tailoring point counts for inference about avian density: dealing with nondetection and availability","docAbstract":"Point counts are commonly used for bird surveys, but interpretation is ambiguous unless there is an accounting for the imperfect detection of individuals. We show how repeated point counts, supplemented by observation distances, can account for two aspects of the counting process: (1) detection of birds conditional on being available for observation and (2) the availability of birds for detection given presence. We propose a hierarchical model that permits the radius in which birds are available for detection to vary with forest stand age (or other relevant habitat features), so that the number of birds available at each location is described by a Poisson-gamma mixture. Conditional on availability, the number of birds detected at each location is modeled by a beta-binomial distribution. We fit this model to repeated point count data of Florida scrub-jays and found evidence that the area in which birds were available for detection decreased with increasing stand age. Estimated density was 0.083 (95%CI: 0.060–0.113) scrub-jays/ha. Point counts of birds have a number of appealing features. Based on our findings, however, an accounting for both components of the counting process may be necessary to ensure that abundance estimates are comparable across time and space. Our approach could easily be adapted to other species and habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resource Modeling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/nrm.12024","usgsCitation":"Johnson, F.A., Dorazio, R.M., Castellon, T.D., Martin, J., Garcia, J.O., and Nichols, J., 2014, Tailoring point counts for inference about avian density: dealing with nondetection and availability: Natural Resource Modeling, v. 27, no. 2, p. 163-177, https://doi.org/10.1111/nrm.12024.","productDescription":"15 p.","startPage":"163","endPage":"177","numberOfPages":"15","ipdsId":"IP-021945","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":287542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287541,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/nrm.12024"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537f0e53e4b021317a86e2d8","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":493978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":493977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellon, Traci D.","contributorId":101565,"corporation":false,"usgs":true,"family":"Castellon","given":"Traci","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":493979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Jay O.","contributorId":93392,"corporation":false,"usgs":true,"family":"Garcia","given":"Jay","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":493980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":493976,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70108400,"text":"70108400 - 2014 - Large biases in regression-based constituent flux estimates: causes and diagnostic tools","interactions":[],"lastModifiedDate":"2016-12-14T11:44:27","indexId":"70108400","displayToPublicDate":"2014-05-22T14:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Large biases in regression-based constituent flux estimates: causes and diagnostic tools","docAbstract":"It has been documented in the literature that, in some cases, widely used regression-based models can produce severely biased estimates of long-term mean river fluxes of various constituents. These models, estimated using sample values of concentration, discharge, and date, are used to compute estimated fluxes for a multiyear period at a daily time step. This study compares results of the LOADEST seven-parameter model, LOADEST five-parameter model, and the Weighted Regressions on Time, Discharge, and Season (WRTDS) model using subsampling of six very large datasets to better understand this bias problem. This analysis considers sample datasets for dissolved nitrate and total phosphorus. The results show that LOADEST-7 and LOADEST-5, although they often produce very nearly unbiased results, can produce highly biased results. This study identifies three conditions that can give rise to these severe biases: (1) lack of fit of the log of concentration vs. log discharge relationship, (2) substantial differences in the shape of this relationship across seasons, and (3) severely heteroscedastic residuals. The WRTDS model is more resistant to the bias problem than the LOADEST models but is not immune to them. Understanding the causes of the bias problem is crucial to selecting an appropriate method for flux computations. Diagnostic tools for identifying the potential for bias problems are introduced, and strategies for resolving bias problems are described.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12195","usgsCitation":"Hirsch, R.M., 2014, Large biases in regression-based constituent flux estimates: causes and diagnostic tools: Journal of the American Water Resources Association, v. 50, no. 6, p. 1401-1424, https://doi.org/10.1111/jawr.12195.","productDescription":"24 p.","startPage":"1401","endPage":"1424","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054084","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jawr.12195","text":"Publisher Index Page"},{"id":287538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287531,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12195"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-05-21","publicationStatus":"PW","scienceBaseUri":"537f0e52e4b021317a86e2cc","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":494022,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70108399,"text":"70108399 - 2014 - Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume","interactions":[],"lastModifiedDate":"2018-09-18T16:43:08","indexId":"70108399","displayToPublicDate":"2014-05-22T14:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume","docAbstract":"Small-scale geochemical gradients are a key feature of aquifer contaminant plumes, highlighting the need for functional and structural profiling of corresponding microbial communities on a similar scale. The purpose of this study was to characterize the microbial functional and structural diversity with depth across representative redox zones of a hydrocarbon plume and an adjacent wetland, at the Bemidji Oil Spill site. A combination of quantitative PCR, denaturing gradient gel electrophoresis, and pyrosequencing were applied to vertically sampled sediment cores. Levels of the methanogenic marker gene, methyl coenzyme-M reductase A (mcrA), increased with depth near the oil body center, but were variable with depth further downgradient. Benzoate degradation N (bzdN) hydrocarbon-degradation gene, common to facultatively anaerobic Azoarcus spp., was found at all locations, but was highest near the oil body center. Microbial community structural differences were observed across sediment cores, and bacterial classes containing known hydrocarbon degraders were found to be low in relative abundance. Depth-resolved functional and structural profiling revealed the strongest gradients in the iron-reducing zone, displaying the greatest variability with depth. This study provides important insight into biogeochemical characteristics in different regions of contaminant plumes, which will aid in improving models of contaminant fate and natural attenuation rates.","language":"English","publisher":"Springer","doi":"10.1007/s00248-014-0421-6","usgsCitation":"Fahrenfeld, N., Cozzarelli, I.M., Bailey, Z., and Pruden, A., 2014, Insights into biodegradation through depth-resolved microbial community functional and structural profiling of a crude-oil contaminant plume: Microbial Ecology, v. 68, no. 3, p. 453-462, https://doi.org/10.1007/s00248-014-0421-6.","productDescription":"10 p.","startPage":"453","endPage":"462","numberOfPages":"10","ipdsId":"IP-054781","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":287537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287536,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00248-014-0421-6"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.117226,47.560427 ], [ -95.117226,47.581389 ], [ -95.07062,47.581389 ], [ -95.07062,47.560427 ], [ -95.117226,47.560427 ] ] ] } } ] }","volume":"68","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-24","publicationStatus":"PW","scienceBaseUri":"537f0e52e4b021317a86e2c8","contributors":{"authors":[{"text":"Fahrenfeld, Nicole","contributorId":32832,"corporation":false,"usgs":true,"family":"Fahrenfeld","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":494020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":494018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Zach","contributorId":21866,"corporation":false,"usgs":true,"family":"Bailey","given":"Zach","email":"","affiliations":[],"preferred":false,"id":494019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pruden, Amy","contributorId":103398,"corporation":false,"usgs":true,"family":"Pruden","given":"Amy","email":"","affiliations":[],"preferred":false,"id":494021,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107915,"text":"70107915 - 2014 - Passage of native riverine fishes through geometrically different sections of a vertical slot fishway on the Moselle River, Germany","interactions":[],"lastModifiedDate":"2014-07-03T12:16:26","indexId":"70107915","displayToPublicDate":"2014-05-21T12:03:15","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Passage of native riverine fishes through geometrically different sections of a vertical slot fishway on the Moselle River, Germany","docAbstract":"In order to study effects of different geometric types of pools or change of the flow direction on the passability of fish, sets of PIT antennas were installed inside a modern vertical slot fishway at the mouth of the River Moselle. Fish of 13 abundant species were caught and tagged with PIT tags in 2013 and released in the tailwater of Koblenz. 16% of the tagged fish were detected entering the fishway a short time after release. These individuals provided data on entry and passage rates for different sections of the fishway. Preliminary results show differences in passage time and passage rates between different sections of the fishway.
","largerWorkTitle":"Ecohydraulics 2014 Conference Proceedings","conferenceTitle":"10th International Symposium on Ecohydraulics","conferenceDate":"2014-06-23T00:00:00","conferenceLocation":"Trondheim, Norway","language":"English","publisher":"ISE","publisherLocation":"Trondheim, Norway","usgsCitation":"Pitsch, M., Mockenhaupt, B., and Castro-Santos, T.R., 2014, Passage of native riverine fishes through geometrically different sections of a vertical slot fishway on the Moselle River, Germany.","ipdsId":"IP-055363","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":289427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Germany","otherGeospatial":"Moselle River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.3558,49.4709 ], [ 6.3558,50.3695 ], [ 7.583,50.3695 ], [ 7.583,49.4709 ], [ 6.3558,49.4709 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b7ae4b014fc094d546f","contributors":{"authors":[{"text":"Pitsch, Matthias","contributorId":77052,"corporation":false,"usgs":true,"family":"Pitsch","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":493929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mockenhaupt, Bernd","contributorId":12784,"corporation":false,"usgs":true,"family":"Mockenhaupt","given":"Bernd","email":"","affiliations":[],"preferred":false,"id":493928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":493927,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70125290,"text":"70125290 - 2014 - Fuzzy boundaries: color and gene flow patterns among parapatric lineages of the western shovel-nosed snake and taxonomic implication","interactions":[],"lastModifiedDate":"2014-09-16T10:32:35","indexId":"70125290","displayToPublicDate":"2014-05-21T10:30:59","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Fuzzy boundaries: color and gene flow patterns among parapatric lineages of the western shovel-nosed snake and taxonomic implication","docAbstract":"Accurate delineation of lineage diversity is increasingly important, as species distributions are becoming more reduced and threatened. During the last century, the subspecies category was often used to denote phenotypic variation within a species range and to provide a framework for understanding lineage differentiation, often considered incipient speciation. While this category has largely fallen into disuse, previously recognized subspecies often serve as important units for conservation policy and management when other information is lacking. In this study, we evaluated phenotypic subspecies hypotheses within shovel-nosed snakes on the basis of genetic data and considered how evolutionary processes such as gene flow influenced possible incongruence between phenotypic and genetic patterns. We used both traditional phylogenetic and Bayesian clustering analyses to infer range-wide genetic structure and spatially explicit analyses to detect possible boundary locations of lineage contact. Multilocus analyses supported three historically isolated groups with low to moderate levels of contemporary gene exchange. Genetic data did not support phenotypic subspecies as exclusive groups, and we detected patterns of discordance in areas where three subspecies are presumed to be in contact. Based on genetic and phenotypic evidence, we suggested that species-level diversity is underestimated in this group and we proposed that two species be recognized, Chionactis occipitalis and C. annulata. In addition, we recommend retention of two subspecific designations within C. annulata (C. a. annulata and C. a. klauberi) that reflect regional shifts in both genetic and phenotypic variation within the species. Our results highlight the difficultly in validating taxonomic boundaries within lineages that are evolving under a time-dependent, continuous process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0097494","usgsCitation":"Wood, D.A., Fisher, R.N., and Vandergast, A.G., 2014, Fuzzy boundaries: color and gene flow patterns among parapatric lineages of the western shovel-nosed snake and taxonomic implication: PLoS ONE, v. 9, no. 5, HTML Document, https://doi.org/10.1371/journal.pone.0097494.","productDescription":"HTML Document","ipdsId":"IP-055947","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472985,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0097494","text":"Publisher Index Page"},{"id":293911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293872,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0097494"}],"volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-21","publicationStatus":"PW","scienceBaseUri":"54195137e4b091c7ffc8e6cd","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":97617,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70107914,"text":"70107914 - 2014 - Landscape selection by piping plovers has implications for measuring habitat and population size","interactions":[],"lastModifiedDate":"2017-08-31T10:55:15","indexId":"70107914","displayToPublicDate":"2014-05-21T09:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape selection by piping plovers has implications for measuring habitat and population size","docAbstract":"How breeding birds distribute in relation to landscape-scale habitat features has important implications for conservation because those features may constrain habitat suitability. Furthermore, knowledge of these associations can help build models to improve area-wide demographic estimates or to develop a sampling stratification for research and monitoring. This is particularly important for rare species that have uneven distributions across vast areas, such as the federally listed piping plover (Charadrius melodus; hereafter plover). We examined how remotely-sensed landscape features influenced the distribution of breeding plover pairs among 2-km shoreline segments during 2006–2009 at Lake Sakakawea in North Dakota, USA. We found strong associations between remotely-sensed landscape features and plover abundance and distribution (R2 = 0.65). Plovers were nearly absent from segments with bluffs (>25 m elevation increase within 250 m of shoreline). Relative plover density (pairs/ha) was markedly greater on islands (4.84 ± 1.22 SE) than on mainlands (0.85 ± 0.17 SE). Pair numbers increased with abundance of nesting habitat (unvegetated-flat areas β^=0.28±0.08SE ). On islands, pair numbers also increased with the relative proportion of the total area that was habitat ( β^=3.27±0.46SE ). Our model could be adapted to estimate the breeding population of plovers or to make predictions that provide a basis for stratification and design of future surveys. Knowledge of landscape features, such as bluffs, that exclude use by birds refines habitat suitability and facilitates more accurate estimates of habitat and population abundance, by decreasing the size of the sampling universe. Furthermore, techniques demonstrated here are applicable to other vast areas where birds breed in sparse or uneven densities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10980-014-0041-z","usgsCitation":"Anteau, M.J., Shaffer, T.L., Wiltermuth, M.T., and Sherfy, M.H., 2014, Landscape selection by piping plovers has implications for measuring habitat and population size: Landscape Ecology, v. 29, no. 6, p. 1033-1044, https://doi.org/10.1007/s10980-014-0041-z.","productDescription":"12 p.","startPage":"1033","endPage":"1044","ipdsId":"IP-039411","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":287424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-014-0041-z"}],"country":"United States","state":"North Dakota","otherGeospatial":"Lake Sakakawea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5771,47.4491 ], [ -103.5771,48.1718 ], [ -101.2537,48.1718 ], [ -101.2537,47.4491 ], [ -103.5771,47.4491 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"537dbcd0e4b05ed6215c0789","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107483,"text":"70107483 - 2014 - Three-dimensional seismic velocity structure and earthquake relocations at Katmai, Alaska","interactions":[],"lastModifiedDate":"2019-03-13T08:33:58","indexId":"70107483","displayToPublicDate":"2014-05-20T16:21:00","publicationYear":"2014","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":"Three-dimensional seismic velocity structure and earthquake relocations at Katmai, Alaska","docAbstract":"We invert arrival time data from local earthquakes occurring between September 2004 and May 2009 to determine the three-dimensional (3D) upper crustal seismic structure in the Katmai volcanic region. Waveforms for the study come from the Alaska Volcano Observatory's permanent network of 20 seismic stations in the area (predominantly single-component, short period instruments) plus a densely spaced temporary array of 11 broadband, 3-component stations. The absolute and relative arrival times are used in a double-difference seismic tomography inversion to solve for 3D P- and S-wave velocity models for an area encompassing the main volcanic centers.
\nThe relocated hypocenters provide insight into the geometry of seismogenic structures in the area, revealing clustering of events into four distinct zones associated with Martin, Mageik, Trident-Novarupta, and Mount Katmai. The seismic activity extends from about sea level to 2 km depth (all depths referenced to mean sea level) beneath Martin, is concentrated near 2 km depth beneath Mageik, and lies mainly between 2 and 4 km depth below Katmai and Trident-Novarupta. Many new features are apparent within these earthquake clusters. In particular, linear features are visible within all clusters, some associated with swarm activity, including an observation of earthquake migration near Trident in 2008. The final velocity model reveals a possible zone of magma storage beneath Mageik, but there is no clear evidence for magma beneath the Katmai-Novarupta area where the 1912 eruptive activity occurred, suggesting that the storage zone for that eruption may have largely been evacuated, or remnant magma has solidified.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.02.022","usgsCitation":"Murphy, R., Thurber, C., Prejean, S.G., and Bennington, N., 2014, Three-dimensional seismic velocity structure and earthquake relocations at Katmai, Alaska: Journal of Volcanology and Geothermal Research, v. 276, p. 121-131, https://doi.org/10.1016/j.jvolgeores.2014.02.022.","productDescription":"11 p.","startPage":"121","endPage":"131","numberOfPages":"11","ipdsId":"IP-053687","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":287331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.0,57.75 ], [ -156.0,58.75 ], [ -154.0,58.75 ], [ -154.0,57.75 ], [ -156.0,57.75 ] ] ] } } ] }","volume":"276","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b52e4b00e1e1a484836","contributors":{"authors":[{"text":"Murphy, Rachel","contributorId":65009,"corporation":false,"usgs":true,"family":"Murphy","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":493916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford","contributorId":44067,"corporation":false,"usgs":true,"family":"Thurber","given":"Clifford","affiliations":[],"preferred":false,"id":493914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":493913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennington, Ninfa","contributorId":49699,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","affiliations":[],"preferred":false,"id":493915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107484,"text":"70107484 - 2014 - Seismicity and seismic structure at Okmok Volcano, Alaska","interactions":[],"lastModifiedDate":"2019-03-13T08:55:37","indexId":"70107484","displayToPublicDate":"2014-05-20T16:16:00","publicationYear":"2014","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":"Seismicity and seismic structure at Okmok Volcano, Alaska","docAbstract":"Okmok volcano is an active volcanic caldera located on the northeastern portion of Umnak Island in the Aleutian arc, with recent eruptions in 1997 and 2008. The Okmok area had ~900 locatable earthquakes between 2003 and June 2008, and an additional ~600 earthquakes from the beginning of the 2008 eruption to mid 2009, providing an adequate dataset for seismic tomography. To image the seismic velocity structure of Okmok, we apply waveform cross-correlation using bispectrum verification and double-difference tomography to a subset of these earthquakes. We also perform P-wave attenuation tomography using a spectral decay technique. We examine the spatio-temporal characteristics of seismicity in the opening sequence of the 2008 eruption to investigate the path of magma migration during the establishment of a new eruptive vent. We also incorporate the new earthquake relocations and three-dimensional (3D) velocity model with first-motion polarities to compute focal mechanisms for selected events in the 2008 pre-eruptive and eruptive periods.
\nThrough these techniques we obtain precise relocations, a well-constrained 3D P-wave velocity model, and a marginally resolved S-wave velocity model. We image a main low Vp and Vs anomaly directly under the caldera consisting of a shallow zone at 0–2 km depth connected to a larger deeper zone that extends to about 6 km depth. We find that areas of low Qp are concentrated in the central to southwestern portion of the caldera and correspond fairly well with areas of low Vp. We interpret the deeper part of the low velocity anomaly (4–6 km depth) beneath the caldera as a magma body. This is consistent with results from ambient noise tomography and suggests that previous estimates of depth to Okmok's magma chamber based only on geodetic data may be too shallow. The distribution of events preceding the 2008 eruption suggest that a combination of overpressure in the zone surrounding the magma chamber and the introduction of new material from below were jointly responsible for the explosive eruption. Magma escaping from the top of the main magma chamber likely reacted with both a smaller shallow pod of magma and groundwater on its way up below the Cone D area. The earthquakes in the 2008 pre-eruptive and eruptive periods are found to have a mixture of strike-slip, oblique normal, and oblique thrust mechanisms, with a dominant P-axis orientation that is nearly perpendicular to the regional tectonic stress. This may indicate that the stresses related to magmatic activity locally dominated regional tectonic forces during this time period.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.04.002","usgsCitation":"Ohlendorf, S.J., Thurber, C.H., Pesicek, J., and Prejean, S.G., 2014, Seismicity and seismic structure at Okmok Volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 278-279, p. 103-119, https://doi.org/10.1016/j.jvolgeores.2014.04.002.","productDescription":"17 p.","startPage":"103","endPage":"119","numberOfPages":"17","ipdsId":"IP-049682","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":287330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Okmok Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -169.1235,52.7363 ], [ -169.1235,54.1978 ], [ -166.1792,54.1978 ], [ -166.1792,52.7363 ], [ -169.1235,52.7363 ] ] ] } } ] }","volume":"278-279","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b51e4b00e1e1a48482e","contributors":{"authors":[{"text":"Ohlendorf, Summer J.","contributorId":58566,"corporation":false,"usgs":true,"family":"Ohlendorf","given":"Summer","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":493920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pesicek, Jeremy D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":9577,"corporation":false,"usgs":true,"family":"Pesicek","given":"Jeremy D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":493918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":493917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107358,"text":"ofr20131170C - 2014 - The search for geologic evidence of distant-source tsunamis using new field data in California","interactions":[{"subject":{"id":70107358,"text":"ofr20131170C - 2014 - The search for geologic evidence of distant-source tsunamis using new field data in California","indexId":"ofr20131170C","publicationYear":"2014","noYear":false,"chapter":"C","title":"The search for geologic evidence of distant-source tsunamis using new field data in California"},"predicate":"IS_PART_OF","object":{"id":70047964,"text":"ofr20131170 - 2013 - The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","indexId":"ofr20131170","publicationYear":"2013","noYear":false,"title":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario"},"id":1}],"isPartOf":{"id":70047964,"text":"ofr20131170 - 2013 - The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","indexId":"ofr20131170","publicationYear":"2013","noYear":false,"title":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario"},"lastModifiedDate":"2022-12-09T20:55:53.236697","indexId":"ofr20131170C","displayToPublicDate":"2014-05-20T14:53:00","publicationYear":"2014","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":"2013-1170","chapter":"C","title":"The search for geologic evidence of distant-source tsunamis using new field data in California","docAbstract":"A statewide assessment for geological evidence of tsunamis, primarily from distant-source events, found tsunami deposits at several locations, though evidence was absent at most locations evaluated. Several historical distant-source tsunamis, including the 1946 Aleutian, 1960 Chile, and 1964 Alaska events, caused inundation along portions of the northern and central California coast. Recent numerical tsunami modeling results identify the eastern Aleutian Islands subduction zone as the “worstcase” distant-source region, with the potential for causing tsunami runups of 7–10 m in northern and central California and 3–4 m in southern California. These model results, along with a review of historical topographic maps and past geotechnical evaluations, guided site selection for tsunami deposit surveys. A reconnaissance of 20 coastal marshlands was performed through site visits and coring of shallow surface sediments to determine if evidence for past tsunamis existed. Although conclusive evidence of tsunami deposits was not found at most of the sites evaluated, geologic evidence consistent with tsunami inundation was found at two locations: Three marshes in the Crescent City area and Pillar Point marsh near Half Moon Bay. Potential tsunami deposits were also evaluated at the Carpinteria Salt Marsh Reserve in Santa Barbara County. In Crescent City, deposits were ascribed to tsunamis on the basis of stratigraphic architecture, particle size, and microfossil content, and they were further assigned to the 1964 Alaska and 1700 Cascadia tsunamis on the basis of dating by cesium-137 and radiocarbon methods, respectively. The 1946 tsunami sand deposit was clearly identified throughout Pillar Point marsh, and one to two other similar but highly discontinuous sand layers were present within 0.5 m of the surface. A tsunami-origin interpretation for sand layers at Carpinteria is merely consistent with graded bedding and unsupported by diatom or foraminiferal assemblages. Additional studies, including age dating, grain-size, and microfossil analyses are underway for the deposits at Crescent City, Pillar Point marsh, and Carpinteria, which may help further identify if other tsunami deposits exist at those sites. The absence of evidence for tsunamis at other sites examined should not preclude further work beyond the reconnaissance-level investigations at those locations.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) tsunami scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170C","usgsCitation":"Wilson, R., Hemphill-Haley, E., Jaffe, B., Richmond, B., Peters, R., Graehl, N., Kelsey, H., Leeper, R., Watt, S., McGann, M., Hoirup, D.F., Chague-Goff, C., Goff, J., Caldwell, D., and Loofbourrow, C., 2014, The search for geologic evidence of distant-source tsunamis using new field data in California: U.S. Geological Survey Open-File Report 2013-1170, viii, 122 p., https://doi.org/10.3133/ofr20131170C.","productDescription":"viii, 122 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rleeper@usgs.gov","orcid":"https://orcid.org/0000-0003-2890-8216","contributorId":4740,"corporation":false,"usgs":true,"family":"Leeper","given":"Robert","email":"rleeper@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":493889,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Watt, Steve swatt@usgs.gov","contributorId":4451,"corporation":false,"usgs":true,"family":"Watt","given":"Steve","email":"swatt@usgs.gov","affiliations":[],"preferred":true,"id":493888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McGann, Mary","contributorId":89907,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","affiliations":[],"preferred":false,"id":493899,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hoirup, Don F.","contributorId":100748,"corporation":false,"usgs":false,"family":"Hoirup","given":"Don","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493901,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chague-Goff, Catherine","contributorId":45633,"corporation":false,"usgs":true,"family":"Chague-Goff","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":493896,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Goff, James","contributorId":25083,"corporation":false,"usgs":true,"family":"Goff","given":"James","email":"","affiliations":[],"preferred":false,"id":493893,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Caldwell, Dylan","contributorId":13148,"corporation":false,"usgs":true,"family":"Caldwell","given":"Dylan","affiliations":[],"preferred":false,"id":493892,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Loofbourrow, Casey","contributorId":98226,"corporation":false,"usgs":true,"family":"Loofbourrow","given":"Casey","email":"","affiliations":[],"preferred":false,"id":493900,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70095796,"text":"sir20145038 - 2014 - Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009","interactions":[],"lastModifiedDate":"2014-05-20T08:32:05","indexId":"sir20145038","displayToPublicDate":"2014-05-20T08:21:00","publicationYear":"2014","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":"2014-5038","title":"Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009","docAbstract":"In Florida’s karst terrain, where groundwater and surface waters interact, a mapping time series of the potentiometric surface in the Upper Floridan aquifer offers a versatile metric for assessing the hydrologic condition of both the aquifer and overlying streams and wetlands. Long-term groundwater monitoring data were used to generate a monthly time series of potentiometric surfaces in the Upper Floridan aquifer over a 573-square-mile area of west-central Florida between January 2000 and December 2009. Recorded groundwater elevations were collated for 260 groundwater monitoring wells in the Northern Tampa Bay area, and a continuous time series of daily observations was created for 197 of the wells by estimating missing daily values through regression relations with other monitoring wells. Kriging was used to interpolate the monthly average potentiometric-surface elevation in the Upper Floridan aquifer over a decade. The mapping time series gives spatial and temporal coherence to groundwater monitoring data collected continuously over the decade by three different organizations, but at various frequencies. Further, the mapping time series describes the potentiometric surface beneath parts of six regionally important stream watersheds and 11 municipal well fields that collectively withdraw about 90 million gallons per day from the Upper Floridan aquifer.
\nMonthly semivariogram models were developed using monthly average groundwater levels at wells. Kriging was used to interpolate the monthly average potentiometric-surface elevations and to quantify the uncertainty in the interpolated elevations. Drawdown of the potentiometric surface within well fields was likely the cause of a characteristic decrease and then increase in the observed semivariance with increasing lag distance. This characteristic made use of the hole effect model appropriate for describing the monthly semivariograms and the interpolated surfaces. Spatial variance reflected in the monthly semivariograms decreased markedly between 2002 and 2003, timing that coincided with decreases in well-field pumping. Cross-validation results suggest that the kriging interpolation may smooth over the drawdown of the potentiometric surface near production wells.
\nThe groundwater monitoring network of 197 wells yielded an average kriging error in the potentiometric-surface elevations of 2 feet or less over approximately 70 percent of the map area. Additional data collection within the existing monitoring network of 260 wells and near selected well fields could reduce the error in individual months. Reducing the kriging error in other areas would require adding new monitoring wells. Potentiometric-surface elevations fluctuated by as much as 30 feet over the study period, and the spatially averaged elevation for the entire surface rose by about 2 feet over the decade. Monthly potentiometric-surface elevations describe the lateral groundwater flow patterns in the aquifer and are usable at a variety of spatial scales to describe vertical groundwater recharge and discharge conditions for overlying surface-water features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145038","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Lee, T.M., and Fouad, G.G., 2014, Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009: U.S. Geological Survey Scientific Investigations Report 2014-5038, Report: v, 26 p.; Appendix 1-3; Animation File; Downloads, https://doi.org/10.3133/sir20145038.","productDescription":"Report: v, 26 p.; Appendix 1-3; Animation File; Downloads","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-049010","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":287307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145038.jpg"},{"id":287303,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5038/pdf/sir2014-5038.pdf"},{"id":287304,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5038/appendix"},{"id":287302,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5038/"},{"id":287305,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5038/video"},{"id":287306,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5038/downloads"}],"projection":"Universal Transverse Mercator, zone 17 north","datum":"World Geodetic System 1984","country":"United States","state":"Florida","otherGeospatial":"Northern Tampa Bay Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.920685,27.897349 ], [ -82.920685,28.500075 ], [ -82.099457,28.500075 ], [ -82.099457,27.897349 ], [ -82.920685,27.897349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b50e4b00e1e1a484822","contributors":{"authors":[{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":491437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fouad, Geoffrey G.","contributorId":101996,"corporation":false,"usgs":true,"family":"Fouad","given":"Geoffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491438,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70141331,"text":"70141331 - 2014 - An individual-based growth and competition model for coastal redwood forest restoration","interactions":[],"lastModifiedDate":"2015-02-20T09:53:24","indexId":"70141331","displayToPublicDate":"2014-05-20T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"An individual-based growth and competition model for coastal redwood forest restoration","docAbstract":"Thinning treatments to accelerate coastal redwood forest stand development are in wide application, but managers have yet to identify prescriptions that might best promote Sequoia sempervirens (Lamb. ex D. Don) Endl. (redwood) growth. The creation of successful thinning prescriptions would be aided by identifying the underlying mechanisms governing how individual tree growth responds to competitive environments in coastal redwood forests. We created a spatially explicit individual-based model of tree competition and growth parameterized using surveys of upland redwood forests at Redwood National Park, California. We modeled competition for overstory trees (stems ≥ 20 cm stem diameter at breast height, 1.37 m (dbh)) as growth reductions arising from sizes, distances, and species identity of competitor trees. Our model explained up to half of the variation in individual tree growth, suggesting that neighborhood crowding is an important determinant of growth in this forest type. We used our model to simulate the effects of novel thinning prescriptions (e.g., 40% stand basal area removal) for redwood forest restoration, concluding that these treatments could lead to substantial growth releases, particularly for S. sempervirens. The results of this study, along with continued improvements to our model, will help to determine spacing and species composition that best encourage growth.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfr-2014-0143","usgsCitation":"van Mantgem, P.J., and Das, A., 2014, An individual-based growth and competition model for coastal redwood forest restoration: Canadian Journal of Forest Research, v. 44, no. 9, p. 1051-1057, https://doi.org/10.1139/cjfr-2014-0143.","productDescription":"7 p.","startPage":"1051","endPage":"1057","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042722","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":298067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e868b8e4b02d776a67c5bc","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540674,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70073918,"text":"70073918 - 2014 - Freshwater availability and coastal wetland foundation species: ecological transitions along a rainfall gradient","interactions":[],"lastModifiedDate":"2016-12-14T11:41:48","indexId":"70073918","displayToPublicDate":"2014-05-19T15:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater availability and coastal wetland foundation species: ecological transitions along a rainfall gradient","docAbstract":"Climate gradient-focused ecological research can provide a foundation for better understanding critical ecological transition points and nonlinear climate-ecological relationships, which is information that can be used to better understand, predict, and manage ecological responses to climate change. In this study, we examined the influence of freshwater availability upon the coverage of foundation plant species in coastal wetlands along a northwestern Gulf of Mexico rainfall gradient. Our research addresses the following three questions: (1) what are the region-scale relationships between measures of freshwater availability (e.g., rainfall, aridity, freshwater inflow, salinity) and the relative abundance of foundation plant species in tidal wetlands; (2) How vulnerable are foundation plant species in tidal wetlands to future changes in freshwater availability; and (3) What is the potential future relative abundance of tidal wetland foundation plant species under alternative climate change scenarios? We developed simple freshwater availability-based models to predict the relative abundance (i.e., coverage) of tidal wetland foundation plant species using climate data (1970-2000), estuarine freshwater inflow-focused data, and coastal wetland habitat data. Our results identify regional ecological thresholds and nonlinear relationships between measures of freshwater availability and the relative abundance of foundation plant species in tidal wetlands. In drier coastal zones, relatively small changes in rainfall could produce comparatively large landscape-scale changes in foundation plant species abundance which would affect some ecosystem good and services. Whereas a drier future would result in a decrease in the coverage of foundation plant species, a wetter future would result in an increase in foundation plant species coverage. In many ways, the freshwater-dependent coastal wetland ecological transitions we observed are analogous to those present in dryland terrestrial ecosystems.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1269.1","usgsCitation":"Osland, M.J., Enwright, N.M., and Stagg, C.L., 2014, Freshwater availability and coastal wetland foundation species: ecological transitions along a rainfall gradient: Ecology, v. 95, no. 10, p. 2789-2802, https://doi.org/10.1890/13-1269.1.","productDescription":"14 p.","startPage":"2789","endPage":"2802","ipdsId":"IP-048822","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":287295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287294,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1269.1"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,25.66 ], [ -100.0,31.01 ], [ -85.26,31.01 ], [ -85.26,25.66 ], [ -100.0,25.66 ] ] ] } } ] }","volume":"95","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537b19d1e4b0929ba496ab2b","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":489212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":489211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":489210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}