The U.S. Geological Survey, in cooperation with the New Mexico Environment Department, compiled data from various sources to develop a dataset that can be used to conduct an assessment of the total dissolved solids in surface water and groundwater of the Palomas, Mesilla, and Hueco Basins in New Mexico and Texas, from below Caballo Reservoir, N. Mex., to Fort Quitman, Tex. Data include continuous surface-water discharge records at various locations on the Rio Grande; surface-water-quality data for the Rio Grande collected at selected locations in the Palomas, Mesilla, and Hueco Basins; groundwater levels and groundwater-quality data collected from selected wells in the Palomas and Mesilla Basins; and data from several seepage investigations conducted on the Rio Grande and selected drains in the Mesilla Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds884","collaboration":"Prepared in cooperation with the New Mexico Environment Department","usgsCitation":"McKean, S., Matherne, A.M., and Thomas, N., 2014, Water quality, discharge, and groundwater levels in the Palomas, Mesilla, and Hueco Basins in New Mexico and Texas from below Caballo Reservoir, New Mexico, to Fort Quitman, Texas, 1889-2013: U.S. Geological Survey Data Series 884, Report: HTML Document; Downloads Directory, https://doi.org/10.3133/ds884.","productDescription":"Report: HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1889-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057294","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":295866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds884.png"},{"id":295851,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0884/"},{"id":295864,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0884/downloads/","text":"Downloads Directory"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Mexico, Texas","otherGeospatial":"Hueco Basin, Mesilla Basin, Palomas Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa4e4b009f8aec97025","contributors":{"authors":[{"text":"McKean, Sarah E.","contributorId":71894,"corporation":false,"usgs":true,"family":"McKean","given":"Sarah E.","affiliations":[],"preferred":false,"id":523263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":523264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nicole nithomas@usgs.gov","contributorId":5649,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicole","email":"nithomas@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":523265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70125639,"text":"ds885 - 2014 - EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012","interactions":[],"lastModifiedDate":"2014-11-06T10:09:12","indexId":"ds885","displayToPublicDate":"2014-11-04T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"885","title":"EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived submerged topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.
\n\n
This project provides highly detailed and accurate datasets for part of Barnegat Bay, New Jersey, acquired pre-Hurricane Sandy on October 18, 22, 23, and 26, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.
\n\n
Elevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed originally in a NASA-USGS collaboration. The exploration and processing of lidar data in an interactive or batch mode is supported using ALPS. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. The Airborne Lidar Processing System (ALPS) is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.
\n\n
For more information about similar projects, please visit the Lidar for Science and Resource Management Web site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds885","usgsCitation":"Wright, C.W., Troche, R.J., Klipp, E.S., Kranenburg, C., Fredericks, X., and Nagle, D.B., 2014, EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012: U.S. Geological Survey Data Series 885, Web Page, https://doi.org/10.3133/ds885.","productDescription":"Web Page","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054940","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":295859,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0885/"},{"id":295860,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0885/home.html"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f032e4b0bc0bec09f5fe","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":2973,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kranenburg, Christine J. ckranenburg@usgs.gov","contributorId":3924,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","email":"ckranenburg@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519515,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70128981,"text":"ds888 - 2014 - EAARL-B coastal topography: Fire Island, New York, pre-Hurricane Sandy, 2012: seamless (bare earth and submerged)","interactions":[],"lastModifiedDate":"2014-11-06T10:54:55","indexId":"ds888","displayToPublicDate":"2014-11-04T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"888","title":"EAARL-B coastal topography: Fire Island, New York, pre-Hurricane Sandy, 2012: seamless (bare earth and submerged)","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.
\n\n
This project provides highly detailed and accurate datasets for part of Fire Island, New York, acquired pre-Hurricane Sandy on October 27, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.
\n\n
Elevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed originally in a NASA-USGS collaboration. The exploration and processing of lidar data in an interactive or batch mode is supported using ALPS. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. The Airborne Lidar Processing System (ALPS) is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.
\n\n
For more information about similar projects, please visit the Lidar for Science and Resource Management Web site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds888","usgsCitation":"Wright, C.W., Kranenburg, C., Klipp, E.S., Troche, R.J., Fredericks, X., Masessa, M.L., and Nagle, D.B., 2014, EAARL-B coastal topography: Fire Island, New York, pre-Hurricane Sandy, 2012: seamless (bare earth and submerged): U.S. Geological Survey Data Series 888, HTML Document, https://doi.org/10.3133/ds888.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056095","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":295857,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0888/html/home.html"},{"id":295856,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0888/"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f032e4b0bc0bec09f600","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":2973,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. ckranenburg@usgs.gov","contributorId":3924,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","email":"ckranenburg@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Masessa, Melanie L. mmasessa@usgs.gov","contributorId":5903,"corporation":false,"usgs":true,"family":"Masessa","given":"Melanie","email":"mmasessa@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70131492,"text":"70131492 - 2014 - Limitations to estimating bacterial cross-speciestransmission using genetic and genomic markers: Inferences from simulation modeling","interactions":[],"lastModifiedDate":"2020-12-29T12:52:06.935036","indexId":"70131492","displayToPublicDate":"2014-11-04T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Limitations to estimating bacterial cross-speciestransmission using genetic and genomic markers: Inferences from simulation modeling","docAbstract":"Cross‐species transmission (CST) of bacterial pathogens has major implications for human health, livestock, and wildlife management because it determines whether control actions in one species may have subsequent effects on other potential host species. The study of bacterial transmission has benefitted from methods measuring two types of genetic variation: variable number of tandem repeats (VNTRs) and single nucleotide polymorphisms (SNPs). However, it is unclear whether these data can distinguish between different epidemiological scenarios. We used a simulation model with two host species and known transmission rates (within and between species) to evaluate the utility of these markers for inferring CST. We found that CST estimates are biased for a wide range of parameters when based on VNTRs and a most parsimonious reconstructed phylogeny. However, estimations of CST rates lower than 5% can be achieved with relatively low bias using as low as 250 SNPs. CST estimates are sensitive to several parameters, including the number of mutations accumulated since introduction, stochasticity, the genetic difference of strains introduced, and the sampling effort. Our results suggest that, even with whole‐genome sequences, unbiased estimates of CST will be difficult when sampling is limited, mutation rates are low, or for pathogens that were recently introduced.
Recent changes in Lake Michigan’s lower trophic levels were hypothesized to have influenced the diet of omnivorous Mysis diluviana. In this study, the stomach contents of Mysis were examined from juvenile and adults collected monthly (April–October) from a 110-m bottom depth site to describe their seasonal diet in LakeMichigan during 2010. Diatoms were the most common prey item ingested, followed by calanoid copepods, and chrysophytes. Dreissenid veligers were documented in mysid diets for the first time in the Great Lakes, and Cercopagis pengoi were not only consumed but even preferred by adults in summer. Diet proportions by weight were dominated by calanoids, although diets showed a marked shift toward cladocerans in autumn. Juvenile and adult Mysis selected primarily for cladoceran prey but also selected for some calanoid copepod taxa. Comparing available Mysis diet data from 1985 to 2010 indicated generally fewer cladocerans and rotifers per gut and less consistent differences in copepods and Peridinium consumed. The seasonal composition of phyto- and zooplankton prey documented herein should be useful to those seeking to understand the trophic role of Mysis in offshore food webs, but caution should be expressed when generalizing similarities in Mysis diets across other lakes because Lake Michigan’s population seems relatively more herbivorous.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Plankton Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","publisherLocation":"Oxford, England","doi":"10.1093/plankt/fbu038","usgsCitation":"O’Malley, B.P., and Bunnell, D., 2014, Diet of Mysis diluviana reveals seasonal patterns of omnivory and consumption of invasive species in offshore Lake Michigan: Journal of Plankton Research, v. 36, no. 4, p. 989-1002, https://doi.org/10.1093/plankt/fbu038.","productDescription":"14 p.","startPage":"989","endPage":"1002","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053800","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/plankt/fbu038","text":"Publisher Index Page"},{"id":295854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295978,"type":{"id":15,"text":"Index Page"},"url":"https://plankt.oxfordjournals.org/content/36/4/989.abstract"}],"country":"United States","otherGeospatial":"Lake Michigan","volume":"36","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"5459ea9fe4b009f8aec96fb4","contributors":{"authors":[{"text":"O’Malley, Brian P. bomalley@usgs.gov","contributorId":5615,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":521313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":521312,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70131493,"text":"70131493 - 2014 - Assembling evidence for identifying reservoirs of infection","interactions":[],"lastModifiedDate":"2018-09-18T16:33:13","indexId":"70131493","displayToPublicDate":"2014-11-04T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Assembling evidence for identifying reservoirs of infection","docAbstract":"Many pathogens persist in multihost systems, making the identification of infection reservoirs crucial for devising effective interventions. Here, we present a conceptual framework for classifying patterns of incidence and prevalence, and review recent scientific advances that allow us to study and manage reservoirs simultaneously. We argue that interventions can have a crucial role in enriching our mechanistic understanding of how reservoirs function and should be embedded as quasi-experimental studies in adaptive management frameworks. Single approaches to the study of reservoirs are unlikely to generate conclusive insights whereas the formal integration of data and methodologies, involving interventions, pathogen genetics, and contemporary surveillance techniques, promises to open up new opportunities to advance understanding of complex multihost systems.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.tree.2014.03.002","usgsCitation":"Viana, M., Mancy, R., Biek, R., Cleaveland, S., Cross, P.C., Lloyd-Smith, J.O., and Haydon, D.T., 2014, Assembling evidence for identifying reservoirs of infection: Trends in Ecology and Evolution, v. 29, no. 5, p. 270-279, https://doi.org/10.1016/j.tree.2014.03.002.","productDescription":"10 p.","startPage":"270","endPage":"279","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052966","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2014.03.002","text":"Publisher Index Page"},{"id":295852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459ea9de4b009f8aec96f9f","contributors":{"authors":[{"text":"Viana, Mafalda","contributorId":124533,"corporation":false,"usgs":false,"family":"Viana","given":"Mafalda","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mancy, Rebecca","contributorId":124534,"corporation":false,"usgs":false,"family":"Mancy","given":"Rebecca","email":"","affiliations":[{"id":5093,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK; School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biek, Roman","contributorId":124535,"corporation":false,"usgs":false,"family":"Biek","given":"Roman","affiliations":[{"id":5094,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892 USA","active":true,"usgs":false}],"preferred":false,"id":521276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleaveland, Sarah","contributorId":124536,"corporation":false,"usgs":false,"family":"Cleaveland","given":"Sarah","email":"","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lloyd-Smith, James O.","contributorId":124537,"corporation":false,"usgs":false,"family":"Lloyd-Smith","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":5095,"text":"Fogarty International Center, National Institutes of Health, Bethesda, MD 20892; Department of Ecology and Evolutionary Biology, University of California at Los Angeles, Los Angeles, CA 90095, USA","active":true,"usgs":false}],"preferred":false,"id":521278,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haydon, Daniel T.","contributorId":124538,"corporation":false,"usgs":false,"family":"Haydon","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521279,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70124957,"text":"sir20145177 - 2014 - Estimation of regional flow-duration curves for Indiana and Illinois","interactions":[],"lastModifiedDate":"2026-04-02T14:14:01.303233","indexId":"sir20145177","displayToPublicDate":"2014-11-04T10:30:00","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":"2014-5177","displayTitle":"Estimation of Regional Flow-Duration Curves for Indiana and Illinois","title":"Estimation of regional flow-duration curves for Indiana and Illinois","docAbstract":"Flow-duration curves (FDCs) of daily streamflow are useful for many applications in water resources planning and management but must be estimated at ungaged sites. One common technique for estimating FDCs at ungaged sites in a given region is to use equations obtained by linear regression of FDC quantiles against multiple basin characteristics that can be computed by means of a geographic information system (GIS) computer program. In this study, such regional regression equations for estimating FDC quantiles were computed at the 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 25, 30, 40, 50, 60, 70, 75, 80, 90, 95, 98, 99, 99.5, 99.8, and 99.9-percent exceedance probabilities for rural, unregulated streams in Indiana and Illinois with temporally stationary records, using data through September 30, 2007. The approach used accounts for censored values below 0.01 cubic feet per second, which are observed at exceedance probabilities as low as 70 percent (that is, occurring at least 30 percent of the time). The basin characteristics used are suitable for computation by the USGS Web-based application, StreamStats, and are available for all U.S. Environmental Protection Agency (EPA) Region V states and the larger Great Lakes area, with some specific local exceptions. Indiana and Illinois were each divided into three regions, and a different set of equations for estimating FDC quantiles was computed for each region.
The error of estimation of the FDC quantiles, measured as the mean square residual in log space converted to a percentage of the quantile, varies somewhat among regions and varies strongly with exceedance probability, with a minimum error of 10 to 20 percent at an exceedance probability of 5 or 10 percent, but rises to 17 to 38 percent at the high-flow end of the FDCs (the 0.1-percent quantile) and 100 to 745 percent at the low-flow end. For comparison, errors of estimation also were computed for FDC quantiles estimated by linear regression on drainage area alone and by using the drainage-area ratio (DAR) method. Three criteria, the nearest basin centroid and two others termed “strict” and “broad”, were used to select index stations for the DAR method. The “strict” and “broad” criteria put conditions on the basin centroid distance and the range of their drainage-area ratios, and the errors were averaged for all index station pairs satisfying each criterion. The use of the simpler DAR method usually resulted in higher errors of estimation compared to the linear regression equations with multiple basin characteristics, except occasionally in the case of the DAR method with the strict index station selection criterion, a criterion that is rarely possible to satisfy in practice.
An example application of the estimated equations to one gaged and a few ungaged locations in a watershed in the study area is included to illustrate the steps required. These steps are the computation of the basin characteristics and, using those characteristics together with the estimated equations, the computation of the FDC quantiles and their uncertainties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145177","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region V, and the Indiana Department of Environmental Management","usgsCitation":"Over, T.M., Riley, J.D., Marti, M.K., Sharpe, J.B., and Arvin, D., 2014, Estimation of regional flow-duration curves for Indiana and Illinois (ver. 2.0, April 2022): U.S. Geological Survey Scientific Investigations Report 2014–5177, 24 p. and additional downloads, tables 2–5, 8–13, and 18, https://doi.org/10.3133/sir20145177.","productDescription":"Report: v, 24 p.; Tables: 2-5, 8-13, and 18; Data Release","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053042","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":438739,"rank":26,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FM4VUZ","text":"USGS data release","linkHelpText":"Data for the Estimation of Regional Flow-Duration Curves for Indiana and Illinois (ver. 3.0, December 2021)"},{"id":398053,"rank":25,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table18.xlsx","text":"Table 18","size":"37.7 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398052,"rank":24,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table18.csv","text":"Table 18","size":"9.80 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398051,"rank":23,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table13.xlsx","text":"Table 13","size":"28.0 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398050,"rank":22,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table13.csv","text":"Table 13","size":"6.03 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398048,"rank":21,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table12.xlsx","text":"Table 12","size":"29.3 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398047,"rank":20,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table12.csv","text":"Table 12","size":"7.08 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398045,"rank":19,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table11.xlsx","text":"Table 11","size":"27.5 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398044,"rank":18,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table11.csv","text":"Table 11","size":"5.33 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398042,"rank":17,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table10.xlsx","text":"Table 10","size":"30.0 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398041,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table10.csv","text":"Table 10","size":"6.81 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398040,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table9.xlsx","text":"Table 9","size":"32.1 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398037,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table8.csv","text":"Table 8","size":"6.54 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398035,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table5.xlsx","text":"Table 5","size":"66.0 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398034,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table5.csv","text":"Table 5","size":"50.2 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398033,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table4.xlsx","text":"Table 4","size":"83.9 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398032,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table4.csv","text":"Table 4","size":"38.1 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398030,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table3.xlsx","text":"Table 3","size":"71.9 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398029,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table3.csv","text":"Table 3","size":"27.5 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398028,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table2.xlsx","text":"Table 2","size":"62.7 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398039,"rank":14,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table9.csv","text":"Table 9","size":"22.2 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398038,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table8.xlsx","text":"Table 8","size":"29.4 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398027,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table2.csv","text":"Table 2","size":"25.1 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398026,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2014/5177/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":398025,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177.pdf","text":"Report","size":"1.63 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":398024,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2014/5177/coverthb2.jpg"},{"id":501940,"rank":27,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_101022.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Illinois, Indiana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.366031,42.500274],[-88.786681,42.491983],[-88.115285,42.496219],[-87.800561,42.49192],[-87.79823,42.473054],[-87.80537,42.384721],[-87.820858,42.361584],[-87.830646,42.331368],[-87.834769,42.301522],[-87.828569,42.269922],[-87.812461,42.232278],[-87.800066,42.208024],[-87.741662,42.128227],[-87.712206,42.096455],[-87.682359,42.075729],[-87.671462,42.058334],[-87.668982,42.029142],[-87.630953,41.933132],[-87.624134,41.904574],[-87.611659,41.892216],[-87.616251,41.868933],[-87.60945,41.845233],[-87.600549,41.826833],[-87.580948,41.804334],[-87.576347,41.786034],[-87.560646,41.766034],[-87.542845,41.752135],[-87.530745,41.748235],[-87.524141,41.72399],[-87.524044,41.708335],[-87.520544,41.709935],[-87.505343,41.691535],[-87.470742,41.672835],[-87.463142,41.675535],[-87.446113,41.66934],[-87.43853,41.670679],[-87.432396,41.66053],[-87.438941,41.654335],[-87.42344,41.642835],[-87.365439,41.629536],[-87.324338,41.623036],[-87.261536,41.620336],[-87.187651,41.629653],[-87.160625,41.637266],[-87.160784,41.645385],[-87.125835,41.650302],[-87.120322,41.645701],[-87.027888,41.674661],[-86.93483,41.709638],[-86.90913,41.726938],[-86.824828,41.76024],[-84.805883,41.760216],[-84.802547,40.50181],[-84.814179,39.814212],[-84.820157,39.10548],[-84.831197,39.10192],[-84.860689,39.07814],[-84.888873,39.066376],[-84.897364,39.057378],[-84.889065,39.04082],[-84.870168,39.025551],[-84.83712,38.988059],[-84.829857,38.969385],[-84.83516,38.957961],[-84.877762,38.920357],[-84.877029,38.909016],[-84.867778,38.899133],[-84.812746,38.895132],[-84.785234,38.880439],[-84.785799,38.869496],[-84.791002,38.860572],[-84.823363,38.839196],[-84.829958,38.830632],[-84.827098,38.818634],[-84.813939,38.800209],[-84.812877,38.786087],[-84.828714,38.783208],[-84.887919,38.794652],[-84.941071,38.775627],[-84.990006,38.778383],[-85.100963,38.7268],[-85.13868,38.699168],[-85.172528,38.688082],[-85.190507,38.68795],[-85.213257,38.695446],[-85.226062,38.705456],[-85.246505,38.731821],[-85.275454,38.741172],[-85.306049,38.741649],[-85.363827,38.730477],[-85.410925,38.73708],[-85.434065,38.729455],[-85.452114,38.709348],[-85.456978,38.689135],[-85.455486,38.68209],[-85.438742,38.659319],[-85.437446,38.601724],[-85.415821,38.563558],[-85.4156,38.546341],[-85.423077,38.531581],[-85.472221,38.506279],[-85.482897,38.485701],[-85.498866,38.468242],[-85.536542,38.456083],[-85.587758,38.450495],[-85.607629,38.439295],[-85.620521,38.423105],[-85.632937,38.395666],[-85.638041,38.380338],[-85.638777,38.361443],[-85.653641,38.327108],[-85.683561,38.295469],[-85.744862,38.26717],[-85.761062,38.27257],[-85.765963,38.280469],[-85.780963,38.288469],[-85.816164,38.282969],[-85.829364,38.276769],[-85.845464,38.23027],[-85.894764,38.188469],[-85.908764,38.161169],[-85.906163,38.08617],[-85.915214,38.067664],[-85.925418,38.023456],[-85.951467,38.005608],[-86.009127,37.998529],[-86.029509,37.99264],[-86.035012,37.984814],[-86.033386,37.970382],[-86.038188,37.95935],[-86.045208,37.958258],[-86.053912,37.963571],[-86.064859,37.975618],[-86.075393,37.996948],[-86.095766,38.00893],[-86.12757,38.016011],[-86.16731,38.009879],[-86.178983,38.011308],[-86.220371,38.027922],[-86.233057,38.039305],[-86.261273,38.052721],[-86.273584,38.067443],[-86.27872,38.089303],[-86.271802,38.137874],[-86.287773,38.15805],[-86.317139,38.172907],[-86.347736,38.195363],[-86.360377,38.198796],[-86.373801,38.193352],[-86.378151,38.185845],[-86.377434,38.171379],[-86.37174,38.164183],[-86.325941,38.154317],[-86.321274,38.147418],[-86.323453,38.139032],[-86.335145,38.129242],[-86.379775,38.129274],[-86.401653,38.105396],[-86.431749,38.126121],[-86.449793,38.127223],[-86.463248,38.119278],[-86.466081,38.114437],[-86.463858,38.101177],[-86.434046,38.086763],[-86.430091,38.078638],[-86.432789,38.067171],[-86.452192,38.05049],[-86.51176,38.044448],[-86.521825,38.038327],[-86.524969,38.027879],[-86.525174,37.968228],[-86.520503,37.954438],[-86.50939,37.942492],[-86.50662,37.930719],[-86.534156,37.917007],[-86.586542,37.922285],[-86.599848,37.906754],[-86.598108,37.867382],[-86.609163,37.855408],[-86.638265,37.842718],[-86.652516,37.841636],[-86.661637,37.849714],[-86.661233,37.862761],[-86.644754,37.894806],[-86.647081,37.908621],[-86.680929,37.91501],[-86.716138,37.894073],[-86.73146,37.89434],[-86.75099,37.912893],[-86.765054,37.93251],[-86.794985,37.988982],[-86.820071,37.999392],[-86.85595,37.987292],[-86.902413,37.946161],[-86.919329,37.936664],[-86.969044,37.932858],[-87.010315,37.919668],[-87.033444,37.906593],[-87.045101,37.893775],[-87.043854,37.870796],[-87.067836,37.806065],[-87.090636,37.787808],[-87.111133,37.782512],[-87.129629,37.786608],[-87.14195,37.816176],[-87.162319,37.840159],[-87.20224,37.843791],[-87.220944,37.849134],[-87.302324,37.898445],[-87.344933,37.911164],[-87.380247,37.935596],[-87.418585,37.944763],[-87.450458,37.941451],[-87.501131,37.909162],[-87.511499,37.906426],[-87.559342,37.931146],[-87.57203,37.947466],[-87.577915,37.971542],[-87.589816,37.976042],[-87.601416,37.972542],[-87.606216,37.949642],[-87.625616,37.933442],[-87.628416,37.92145],[-87.620272,37.906922],[-87.591582,37.887194],[-87.588729,37.860984],[-87.615399,37.831974],[-87.645858,37.825899],[-87.672397,37.829127],[-87.679188,37.836321],[-87.681633,37.855917],[-87.66282,37.881449],[-87.665025,37.893514],[-87.67573,37.90193],[-87.684018,37.903498],[-87.717971,37.89257],[-87.740148,37.89465],[-87.76226,37.890906],[-87.7909,37.875714],[-87.830578,37.876516],[-87.841193,37.882325],[-87.844691,37.892048],[-87.857243,37.900649],[-87.87254,37.920999],[-87.883321,37.926238],[-87.898062,37.927514],[-87.904789,37.924892],[-87.936784,37.892587],[-87.940839,37.883338],[-87.936228,37.867937],[-87.910276,37.843416],[-87.903804,37.817762],[-87.90681,37.807624],[-87.932554,37.797672],[-87.944506,37.775256],[-87.95259,37.771742],[-87.96003,37.773223],[-87.976389,37.788004],[-87.997102,37.797672],[-88.015144,37.80193],[-88.02803,37.799224],[-88.035827,37.791917],[-88.042602,37.76712],[-88.059588,37.742608],[-88.122412,37.709685],[-88.159372,37.661847],[-88.156827,37.632801],[-88.142225,37.603737],[-88.139973,37.586451],[-88.13341,37.574273],[-88.105585,37.55618],[-88.088049,37.535124],[-88.069018,37.525297],[-88.061342,37.505327],[-88.064234,37.484548],[-88.067728,37.481593],[-88.072386,37.483563],[-88.087664,37.471059],[-88.135142,37.471626],[-88.188615,37.461896],[-88.281667,37.452596],[-88.312585,37.440591],[-88.333183,37.42721],[-88.348405,37.410726],[-88.365471,37.401663],[-88.39734,37.421644],[-88.413108,37.424468],[-88.456,37.408482],[-88.476592,37.386875],[-88.484462,37.345609],[-88.511497,37.298527],[-88.515939,37.284043],[-88.506942,37.266656],[-88.509328,37.26213],[-88.487277,37.244077],[-88.471753,37.220155],[-88.447764,37.203527],[-88.431488,37.160298],[-88.424403,37.152428],[-88.443538,37.109192],[-88.444605,37.098601],[-88.458948,37.073796],[-88.504437,37.065265],[-88.545403,37.070003],[-88.576718,37.085852],[-88.589207,37.099655],[-88.625889,37.119458],[-88.644872,37.122844],[-88.693983,37.141155],[-88.720224,37.140641],[-88.732105,37.143956],[-88.80572,37.188595],[-88.916934,37.224291],[-88.966831,37.229891],[-89.000968,37.224401],[-89.041263,37.202881],[-89.086526,37.165602],[-89.111189,37.119052],[-89.134931,37.103278],[-89.14132,37.093865],[-89.154504,37.088907],[-89.168087,37.074218],[-89.181369,37.046305],[-89.178975,37.020928],[-89.166447,37.003337],[-89.132685,36.9822],[-89.170008,36.970298],[-89.185491,36.973518],[-89.192097,36.979995],[-89.200793,37.016164],[-89.234053,37.037277],[-89.25493,37.072014],[-89.259936,37.064071],[-89.307726,37.069654],[-89.310819,37.057897],[-89.304752,37.047565],[-89.277715,37.03614],[-89.260003,37.023288],[-89.257608,37.015496],[-89.263527,37.00005],[-89.278628,36.98867],[-89.29213,36.992189],[-89.322982,37.01609],[-89.362397,37.030156],[-89.378277,37.039605],[-89.385434,37.05513],[-89.375712,37.080505],[-89.37871,37.094586],[-89.38805,37.107481],[-89.41173,37.122507],[-89.42558,37.138235],[-89.461862,37.199517],[-89.4675,37.221844],[-89.458246,37.247066],[-89.470525,37.253357],[-89.488728,37.251507],[-89.506773,37.268537],[-89.51834,37.285497],[-89.511842,37.310825],[-89.489005,37.333368],[-89.447556,37.340475],[-89.432836,37.347056],[-89.421054,37.387668],[-89.42594,37.407471],[-89.439769,37.4372],[-89.475525,37.471388],[-89.516447,37.535558],[-89.521925,37.560735],[-89.519808,37.582748],[-89.486062,37.580853],[-89.477548,37.585885],[-89.475932,37.592998],[-89.517718,37.641217],[-89.51204,37.680985],[-89.514255,37.689923],[-89.52573,37.698441],[-89.583316,37.713261],[-89.596566,37.732886],[-89.615586,37.74235],[-89.615933,37.748184],[-89.64953,37.745498],[-89.663352,37.750052],[-89.667993,37.759484],[-89.66038,37.786296],[-89.669644,37.799922],[-89.71748,37.825724],[-89.739873,37.84693],[-89.754104,37.846358],[-89.782035,37.855092],[-89.786369,37.851734],[-89.796087,37.859505],[-89.80036,37.868625],[-89.798041,37.879655],[-89.842649,37.905196],[-89.862949,37.896906],[-89.881475,37.879591],[-89.901832,37.869822],[-89.923185,37.870672],[-89.950594,37.881526],[-89.973642,37.917661],[-89.974918,37.926719],[-89.962273,37.934363],[-89.959646,37.940196],[-89.947429,37.940336],[-89.932467,37.947497],[-89.925389,37.95413],[-89.925085,37.960021],[-89.933797,37.959143],[-89.942099,37.970121],[-89.978919,37.962791],[-89.997103,37.963225],[-90.008353,37.970179],[-90.03241,37.995258],[-90.051357,38.003584],[-90.059367,38.015543],[-90.08826,38.015772],[-90.11052,38.026547],[-90.126194,38.040702],[-90.126396,38.054897],[-90.130788,38.062341],[-90.158533,38.074735],[-90.17222,38.069636],[-90.218708,38.094365],[-90.243116,38.112669],[-90.274928,38.157615],[-90.290765,38.170453],[-90.331554,38.18758],[-90.359559,38.224525],[-90.373929,38.281853],[-90.372519,38.323354],[-90.368219,38.340254],[-90.349743,38.377609],[-90.295316,38.426753],[-90.285215,38.443453],[-90.279215,38.472453],[-90.260314,38.528352],[-90.224212,38.575051],[-90.196011,38.594451],[-90.18451,38.611551],[-90.17801,38.63375],[-90.18111,38.65955],[-90.18641,38.67475],[-90.20921,38.70275],[-90.21201,38.71175],[-90.20991,38.72605],[-90.176309,38.754449],[-90.166409,38.772649],[-90.123107,38.798048],[-90.114707,38.815048],[-90.109407,38.843548],[-90.113327,38.849306],[-90.166409,38.876348],[-90.19761,38.887648],[-90.223041,38.907389],[-90.250248,38.919344],[-90.309454,38.92412],[-90.395816,38.960037],[-90.440078,38.967364],[-90.450792,38.967764],[-90.472122,38.958838],[-90.482419,38.94446],[-90.486974,38.925982],[-90.500117,38.910408],[-90.54403,38.87505],[-90.566557,38.868847],[-90.583388,38.86903],[-90.628485,38.891617],[-90.639917,38.908272],[-90.653164,38.916141],[-90.663372,38.928042],[-90.675949,38.96214],[-90.678193,38.991851],[-90.713629,39.053977],[-90.682744,39.088348],[-90.681086,39.10059],[-90.686051,39.117785],[-90.702923,39.138749],[-90.707902,39.15086],[-90.71048,39.176366],[-90.717404,39.197414],[-90.717113,39.213912],[-90.72996,39.255894],[-90.751599,39.265432],[-90.767648,39.280025],[-90.775673,39.292811],[-90.790675,39.302908],[-90.793461,39.309498],[-90.816851,39.320496],[-90.8475,39.345272],[-90.893777,39.367343],[-90.904862,39.379403],[-90.928745,39.387544],[-90.939025,39.402744],[-90.993789,39.422959],[-91.03827,39.448436],[-91.059439,39.46886],[-91.064305,39.494643],[-91.079769,39.507728],[-91.100307,39.538695],[-91.153628,39.548248],[-91.168419,39.564928],[-91.174232,39.591975],[-91.181936,39.602677],[-91.229317,39.620853],[-91.27614,39.665759],[-91.302485,39.679631],[-91.367753,39.729029],[-91.369953,39.745042],[-91.365125,39.758723],[-91.363444,39.792804],[-91.377971,39.811273],[-91.432919,39.840554],[-91.446385,39.870394],[-91.443513,39.893583],[-91.420878,39.914865],[-91.41936,39.927717],[-91.465315,39.983995],[-91.494878,40.036453],[-91.489606,40.057435],[-91.509245,40.121876],[-91.511749,40.147091],[-91.508324,40.156326],[-91.513079,40.178537],[-91.504477,40.198262],[-91.507269,40.209338],[-91.505828,40.238839],[-91.490524,40.259498],[-91.492727,40.278217],[-91.46214,40.342414],[-91.439342,40.366569],[-91.415695,40.381381],[-91.381958,40.387632],[-91.372921,40.399108],[-91.373721,40.417891],[-91.381769,40.442555],[-91.364915,40.484168],[-91.364211,40.500043],[-91.367876,40.510479],[-91.384531,40.530948],[-91.404125,40.539127],[-91.405241,40.554641],[-91.379752,40.57445],[-91.359873,40.601805],[-91.339719,40.613488],[-91.306524,40.626231],[-91.253074,40.637962],[-91.18698,40.637297],[-91.123928,40.669152],[-91.110927,40.703262],[-91.115735,40.725168],[-91.110424,40.745528],[-91.091703,40.779708],[-91.092256,40.792909],[-91.097649,40.805575],[-91.092993,40.821079],[-91.05643,40.848387],[-91.044653,40.868356],[-91.021562,40.884021],[-91.009536,40.900565],[-90.962916,40.924957],[-90.952233,40.954047],[-90.958142,40.979767],[-90.945949,41.006495],[-90.942253,41.034702],[-90.949383,41.07271],[-90.946259,41.094734],[-90.99496,41.160624],[-91.007586,41.166183],[-91.027214,41.163373],[-91.041536,41.166138],[-91.07298,41.207151],[-91.113648,41.241401],[-91.114186,41.250029],[-91.092034,41.286911],[-91.074841,41.305578],[-91.06652,41.365246],[-91.05158,41.385283],[-91.04589,41.414085],[-91.027787,41.423603],[-90.979815,41.434321],[-90.930016,41.421404],[-90.846558,41.455141],[-90.750142,41.449632],[-90.655839,41.462132],[-90.605937,41.494232],[-90.602137,41.506032],[-90.595237,41.511032],[-90.567236,41.517532],[-90.556235,41.524232],[-90.540935,41.526133],[-90.500633,41.518033],[-90.461432,41.523533],[-90.41283,41.565333],[-90.343228,41.587833],[-90.339528,41.598633],[-90.343452,41.646959],[-90.334525,41.679559],[-90.313435,41.698082],[-90.317668,41.72269],[-90.310708,41.742214],[-90.278633,41.767358],[-90.216889,41.795335],[-90.187969,41.803163],[-90.180954,41.809354],[-90.181901,41.843216],[-90.173006,41.857402],[-90.170041,41.876439],[-90.153584,41.906614],[-90.152659,41.933058],[-90.163847,41.944934],[-90.164135,41.956178],[-90.146225,41.981329],[-90.140061,42.003252],[-90.150916,42.02944],[-90.163446,42.040407],[-90.168358,42.075779],[-90.161504,42.098912],[-90.162895,42.116718],[-90.17097,42.125198],[-90.190452,42.125779],[-90.201404,42.130937],[-90.207421,42.149109],[-90.216107,42.15673],[-90.250129,42.171469],[-90.282173,42.178846],[-90.328273,42.201047],[-90.356964,42.205445],[-90.391108,42.225473],[-90.400653,42.239293],[-90.419326,42.254467],[-90.430884,42.27823],[-90.420454,42.305374],[-90.421047,42.316109],[-90.415937,42.322699],[-90.419027,42.328505],[-90.477279,42.383794],[-90.487154,42.385141],[-90.506829,42.398792],[-90.555018,42.416138],[-90.560439,42.432897],[-90.567968,42.440389],[-90.606328,42.451505],[-90.646727,42.471904],[-90.654027,42.478503],[-90.656527,42.489203],[-90.640927,42.508302],[-90.07367,42.508275],[-89.366031,42.500274]]]},\"properties\":{\"name\":\"Illinois\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: October 29, 2014; Version 2.0: April 5, 2022","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
In order to better define the size of the thermal anomaly in the Raft River Valley, Idaho, the U.S. Geological Survey drilled a series of intermediate-depth (nominal 500-ft depth) wells in 1977 and 1978. This report presents geologic, geophysical, and temperature data for these drill holes, along with data for five wells drilled by the Idaho National Engineering Laboratory with U.S. Department of Energy Funding. Data previously reported for other drill holes are also included in order to make them available as digital files.
\n\n
For purposes of defining the thermal anomaly for the geothermal system, temperature gradients are calculated over long depth intervals on the basis of the appearance of reasonable linear segments on a temperature versus plot depth. Temperature versus depth data for some drill holes can be represented by a single gradient, whereas others require multiple gradients to match the data. Data for some drill holes clearly reflect vertical flows of water in the formation surrounding the drill holes, and water velocities are calculated for these drill holes. Within The Narrows area, temperature versus depth data show reversals at different depth in different drill holes. In the main thermal area, temperatures in intermediate-depth drill holes vary approximately linearly but with very high values of temperature gradient. Temperature gradients on a map of the area can be reasonable divided into a large area of regional gradients and smaller areas defining the thermal anomalies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141201","usgsCitation":"Nathenson, M., Urban, T.C., and Covington, H., 2014, Geologic and geophysical data for wells drilled at Raft River Valley, Cassia County, Idaho, in 1977-1978 and data for wells drilled previously: U.S. Geological Survey Open-File Report 2014-1201, Report: iv, 30 p.; 2 Appendixes, https://doi.org/10.3133/ofr20141201.","productDescription":"Report: iv, 30 p.; 2 Appendixes","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052136","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":295850,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141201.JPG"},{"id":295822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1201/"},{"id":295844,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixA.pdf"},{"id":295843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr2014-1201.pdf"},{"id":295845,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixB.pdf"},{"id":295846,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixA_figs.pdf"},{"id":295847,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/downloads/ofr20141201_appendixA_tables.zip"},{"id":295848,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixB_figs.pdf"},{"id":295849,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/downloads/ofr20141201_appendixB_tables.zip"}],"country":"United States","state":"Idaho","county":"Cassia County","otherGeospatial":"Raft River Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa1e4b009f8aec96fe4","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":522919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urban, Thomas C.","contributorId":53949,"corporation":false,"usgs":true,"family":"Urban","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":522920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Covington, Harry R.","contributorId":101309,"corporation":false,"usgs":true,"family":"Covington","given":"Harry R.","affiliations":[],"preferred":false,"id":522921,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127784,"text":"ofr20141215 - 2014 - Water-quality characteristics indicative of wastewater in selected streams in the upper Neuse River Basin, Durham and Orange Counties, North Carolina, from 2004 to 2013","interactions":[],"lastModifiedDate":"2016-12-08T16:58:12","indexId":"ofr20141215","displayToPublicDate":"2014-11-04T09:45:00","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":"2014-1215","title":"Water-quality characteristics indicative of wastewater in selected streams in the upper Neuse River Basin, Durham and Orange Counties, North Carolina, from 2004 to 2013","docAbstract":"Data were collected during three time periods to assess the effects of wastewater treatment and disposal practices on the occurrence of selected contaminants indicative of wastewater in the upper Neuse River Basin, North Carolina. The first phase of data collection, December 2004 to June 2005, and the second phase, April to October 2008, addressed the effects of point and nonpoint sources of wastewater effluent on stream quality during baseflow conditions. Point-source effects were assessed by sampling a municipal wastewater treatment plant outfall and sites on the Eno River upstream and downstream from the outfall. Water-quality data suggest that the wastewater treatment plant effluent contributed to increases in concentrations of nitrogen and carbamazepine at the downstream site. Nonpoint source effects were assessed by sampling seven small streams that drained an undeveloped area and residential areas served by either centralized or onsite wastewater treatment systems. Samples were analyzed for inorganic constituents, including nutrients, ions, and metals; organic compounds considered indicative of wastewater contamination; antibiotics, optical brighteners, and fecal coliform bacteria. Hypothesized differences in water quality between the sites with primarily centralized and onsite wastewater treatment were not apparent, likely due to the relatively large heterogeneity of the sites within each category.
\n\n
During the third phase of data collection, May 2012 to January 2013, data were collected to address the suitability of optical brighteners as tracers of wastewater in small streams during streamflow recession. Samples were collected at five small streams following periods of rainfall and analyzed for optical brighteners, specific conductance nutrients, and selected hormones. Optical brighteners were absent in the undeveloped catchment but were present in the recession period after rainfall events in catchments with centralized though possibly leaky sewage treatment and areas with onsite treatment. Sand filter systems in areas with onsite treatment appear to change the effluent flow and retention characteristics such that optical brighteners were present both before and after rainfall events. Nitrate plus nitrite, as nitrogen concentrations in samples from this last study phase generally were larger than those collected during baseflow conditions in the previous phases of this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141215","collaboration":"North Carolina Department of Environment and Natural Resources, Division of Environmental Health; Durham County Health Department; City of Durham Stormwater Department; City of Raleigh, North Carolina","usgsCitation":"Ferrell, G.M., Yearout, M.S., Grimes, B.H., Graves, A.K., Fitzgerald, S., and Meyer, M.T., 2014, Water-quality characteristics indicative of wastewater in selected streams in the upper Neuse River Basin, Durham and Orange Counties, North Carolina, from 2004 to 2013: U.S. Geological Survey Open-File Report 2014-1215, Report: xi, 62 p.; 10 Appendixes; 2 Tables, https://doi.org/10.3133/ofr20141215.","productDescription":"Report: xi, 62 p.; 10 Appendixes; 2 Tables","numberOfPages":"77","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-052107","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":295840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141215.jpg"},{"id":295770,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1215/"},{"id":295825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1215/pdf/ofr2014-1215.pdf"},{"id":295838,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1215/appendix/"},{"id":295839,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1215/table"}],"country":"United States","state":"North Carolina","county":"Durham County, Orange County","otherGeospatial":"Upper Neuse River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.4036865234375,\n 35.793310688351724\n ],\n [\n -79.4036865234375,\n 36.22876574685929\n ],\n [\n -78.63327026367188,\n 36.22876574685929\n ],\n [\n -78.63327026367188,\n 35.793310688351724\n ],\n [\n -79.4036865234375,\n 35.793310688351724\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa4e4b009f8aec97030","contributors":{"authors":[{"text":"Ferrell, Gloria M. gferrell@usgs.gov","contributorId":1595,"corporation":false,"usgs":true,"family":"Ferrell","given":"Gloria","email":"gferrell@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":521319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yearout, Matthew S.","contributorId":124564,"corporation":false,"usgs":false,"family":"Yearout","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimes, Barbara H.","contributorId":124565,"corporation":false,"usgs":false,"family":"Grimes","given":"Barbara","email":"","middleInitial":"H.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Alexandria K.","contributorId":124566,"corporation":false,"usgs":false,"family":"Graves","given":"Alexandria","email":"","middleInitial":"K.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Sharon A. safitzge@usgs.gov","contributorId":4532,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Sharon A.","email":"safitzge@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":521318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":521323,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127080,"text":"sir20145182 - 2014 - Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12","interactions":[],"lastModifiedDate":"2016-08-05T12:08:21","indexId":"sir20145182","displayToPublicDate":"2014-11-04T09:45:00","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":"2014-5182","title":"Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12","docAbstract":"Suspended sediment in rivers and streams can play an important role in ecological health of rivers and estuaries and consequently is an important issue for water-resource managers. To better understand suspended-sediment loads and transport in a watershed, the U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority, developed a Hydrological Simulation Program—FORTRAN model to simulate hydrologic conditions and suspended-sediment loads during 2000–12 for four watersheds, which comprise the overall study area in the San Antonio River Basin (hereinafter referred to as the “USGS–2014 model”). The study area consists of approximately 2,150 square miles encompassing parts of Bexar, Guadalupe, Wilson, Karnes, DeWitt, Goliad, Victoria, and Refugio Counties. The USGS–2014 model was calibrated for hydrology and suspended sediment for 2006–12. Overall, model-fit statistics and graphic evaluations from the calibration and testing periods provided multiple lines of evidence indicating that the USGS–2014 model simulations of hydrologic and suspended-sediment conditions were mostly “good” to “very good.” Model simulation results indicated that approximately 1,230 tons per day of suspended sediment exited the study area and were delivered to the Guadalupe River during 2006–12, of which approximately 62 percent originated upstream from the study area. Sample data and simulated model results indicate that most of the suspended-sediment load in the study area consisted of silt- and clay-sized particles (less than 0.0625 millimeters). The Cibolo Creek watershed was the largest contributor of suspended sediment from the study area. For the entire study area, open/developed land and cropland exhibited the highest simulated soil erosion rates; however, the largest contributions of sediment (by land-cover type) were pasture and forest/rangeland/shrubland, which together composed approximately 80 percent of the land cover of the study area and generated about 70 percent of the suspended-sediment load from the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145182","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Banta, J., and Ockerman, D.J., 2014, Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12: U.S. Geological Survey Scientific Investigations Report 2014-5182, v, 46 p., https://doi.org/10.3133/sir20145182.","productDescription":"v, 46 p.","numberOfPages":"56","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056710","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":295842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145182.jpg"},{"id":295821,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5182/"},{"id":295841,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5182/pdf/sir2014-5182.pdf"}],"country":"United States","state":"Texas","city":"San Antonio","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa3e4b009f8aec97016","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270 jbanta@usgs.gov","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":4723,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","email":"jbanta@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":522917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70131486,"text":"ofr20141229 - 2014 - Bull trout in the Boundary System: managing connectivity and the feasibility of a reintroduction in the lower Pend Oreille River, northeastern Washington","interactions":[],"lastModifiedDate":"2017-11-22T16:03:58","indexId":"ofr20141229","displayToPublicDate":"2014-11-04T09:30:00","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":"2014-1229","title":"Bull trout in the Boundary System: managing connectivity and the feasibility of a reintroduction in the lower Pend Oreille River, northeastern Washington","docAbstract":"Many of the World’s rivers are influenced by large dams (>15 m high) most of which have fragmented formerly continuous habitats, and significantly altered fish passage, natural flow, temperature, and sediment fluxes (Nilsson and others, 2005; Arthington, 2012; Liermann and others, 2012). In the Pacific Northwest, dams on major rivers have been a major focus for fishery managers, primarily in regard to passage of anadromous salmonids (principally Pacific salmon and steelhead trout [Oncorhynchus mykiss], for example, Ferguson and others, 2011), but more recently other species, such as Pacific lamprey (Entosphenus tridentatus) and resident (non-anadromous) salmonids, are receiving more attention (Neraas and Spruell, 2001; Moser and others, 2002; Muhlfeld and others, 2012). In the case of resident salmonids, fish can adopt a wide range of migratory behaviors that often bring them into mainstem rivers where they can come into direct contact with large dams. When this occurs, some of the most important direct effects of dams on salmonids include barriers to upstream and downstream movement and mortality associated with entrainment within the dam or spill over dams. Biologically, these direct impacts can lead to (1) disruption of natural historical (pre-dam) genetic and demographic connectivity among local populations, (2) loss of access to historically used migratory destinations, (3) loss of individuals to the population through mortality associated with entrainment.
\n\n
In this report, we address these issues for the case of Boundary Dam, located immediately south of the Canadian border on the lower Pend Oreille River in northeastern Washington (fig. 1). Specifically, we addressed the following objectives:
\n\n
This study produced a comprehensive estimate of the magnitude of hydropower potential available in the streams that drain watersheds entirely within the State of São Paulo, Brazil. Because a large part of the contributing area is outside of São Paulo, the main stem of the Paraná River was excluded from the assessment. Potential head drops were calculated from the Digital Terrain Elevation Data,which has a 1-arc-second resolution (approximately 30-meter resolution at the equator). For the conditioning and validation of synthetic stream channels derived from the Digital Elevation Model datasets, hydrography data (in digital format) supplied by the São Paulo State Department of Energy and the Agência Nacional de Águas were used. Within the study area there were 1,424 rain gages and 123 streamgages with long-term data records. To estimate average yearly streamflow, a hydrologic regionalization system that divides the State into 21 homogeneous basins was used. Stream segments, upstream areas, and mean annual rainfall were estimated using geographic information systems techniques. The accuracy of the flows estimated with the regionalization models was validated. Overall, simulated streamflows were significantly correlated with the observed flows but with a consistent underestimation bias. When the annual mean flows from the regionalization models were adjusted upward by 10 percent, average streamflow estimation bias was reduced from -13 percent to -4 percent. The sum of all the validated stream reach mean annual hydropower potentials in the 21 basins is 7,000 megawatts (MW). Hydropower potential is mainly concentrated near the Serra do Mar mountain range and along the Tietê River. The power potential along the Tietê River is mainly at sites with medium and high potentials, sites where hydropower has already been harnessed. In addition to the annual mean hydropower estimates, potential hydropower estimates with flow rates with exceedance probabilities of 40 percent, 60 percent, and 90 percent were made.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141206","usgsCitation":"Artan, G.A., Cushing, W.M., Mathis, M.L., and Tieszen, L.L., 2014, Low-head hydropower assessment of the Brazilian State of São Paulo: U.S. Geological Survey Open-File Report 2014-1206, v, 15 p., https://doi.org/10.3133/ofr20141206.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051675","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":295835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141206.jpg"},{"id":295834,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1206/pdf/ofr2014-1206.pdf","text":"Report","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":295766,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1206/"}],"country":"Brazil","city":"São Paulo","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa2e4b009f8aec96ffe","contributors":{"authors":[{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":521219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cushing, W. Matthew 0000-0001-5209-6006 mcushing@usgs.gov","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":2980,"corporation":false,"usgs":true,"family":"Cushing","given":"W.","email":"mcushing@usgs.gov","middleInitial":"Matthew","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathis, Melissa L. 0000-0003-4967-4770 mlmathis@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-4770","contributorId":5461,"corporation":false,"usgs":true,"family":"Mathis","given":"Melissa","email":"mlmathis@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":521222,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70121352,"text":"sir20145164 - 2014 - Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008","interactions":[],"lastModifiedDate":"2014-11-04T08:55:49","indexId":"sir20145164","displayToPublicDate":"2014-11-04T09:00:00","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":"2014-5164","title":"Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008","docAbstract":"This report is the product of a 2013 cooperative agreement between the U.S. Geological Survey, the International Joint Commission, and the Maine Bureau of Sea Run Fisheries and Habitat to quantify the effects of meteorological conditions (from 1970 through 2008) on the survival of smallmouth bass (Micropterus dolomieu) in the first year of life in Spednic Lake. This report documents the data and methods used to estimate historical daily mean lake surface-water temperatures from early spring through late autumn, which were used to estimate the dates of smallmouth bass spawning, young-of-the-year growth, and probable strength of each year class. Mortality of eggs and fry in nests was modeled and estimated to exceed 10 percent in 17 of 39 years; during those years, cold temperatures in the early part of the spawning period resulted in mortality to fish that were estimated to have had the longest growing season and attain the greatest length. Modeled length-dependent overwinter survival combined with early mortality identified 1986, 1994, 1996, and 2004 as the years in which temperature was likely to have presented the greatest challenge to year-class strength in the Spednic Lake fishery. Age distribution of bass in fisheries on lakes in the St. Croix and surrounding watersheds confirmed that conditions in 1986 and 1996 resulted in weak smallmouth bass year classes (age-four or age-five bass representing less than 15 percent of a 100-fish sample).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145164","collaboration":"Prepared in cooperation with the International Joint Commission St. Croix River Watershed Board and the Maine Bureau of Sea Run Fisheries and Habitat","usgsCitation":"Dudley, R.W., and Trial, J.G., 2014, Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008: U.S. Geological Survey Scientific Investigations Report 2014-5164, v, 15 p., https://doi.org/10.3133/sir20145164.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1970-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-057932","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":295830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145164.jpg"},{"id":295761,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5164/"},{"id":295762,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5164/pdf/sir2014-5164.pdf","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"Canada, United States","state":"Maine","otherGeospatial":"Spednic Lake","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa1e4b009f8aec96fda","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":519252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70129335,"text":"ofr20141222 - 2014 - Long Valley Caldera 2003 through 2014: Overview of low level unrest in the past decade","interactions":[],"lastModifiedDate":"2019-03-15T10:13:55","indexId":"ofr20141222","displayToPublicDate":"2014-11-03T11:45:00","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":"2014-1222","title":"Long Valley Caldera 2003 through 2014: Overview of low level unrest in the past decade","docAbstract":"Long Valley Caldera is located in California along the eastern escarpment of the Sierra Nevada Range. The caldera formed about 760,000 years ago as the eruption of 600 km3 of rhyolite magma (Bishop Tuff) resulted in collapse of the partially evacuated magma chamber. Resurgent doming in the central part of the caldera occurred shortly afterwards, and the most recent eruptions inside the caldera occurred about 50,000 years ago. The caldera remains thermally active, with many hot springs and fumaroles, and has had significant deformation and seismicity since at least 1978. Periods of intense unrest in the 1980s to early 2000s are well documented in the literature (Hill and others, 2002; Ewert and others, 2010). In this poster, we extend the timeline forward, documenting seismicity and deformation over the past decade.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141222","usgsCitation":"Wilkinson, S.K., Hill, D.P., Langbein, J.O., Lisowski, M., and Mangan, M.T., 2014, Long Valley Caldera 2003 through 2014: Overview of low level unrest in the past decade: U.S. Geological Survey Open-File Report 2014-1222, Sheet: 68.0 x 36.0 inches, https://doi.org/10.3133/ofr20141222.","productDescription":"Sheet: 68.0 x 36.0 inches","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2014-06-30","ipdsId":"IP-051632","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":295823,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1222/pdf/ofr2014-1222_report.pdf"},{"id":295826,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1222/"},{"id":295824,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2014/1222/images/coverthbnew.gif"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 37\n ],\n [\n -118,\n 37\n ],\n [\n -118,\n 38.75\n ],\n [\n -120,\n 38.75\n ],\n [\n -120,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54589917e4b009f8aec946ef","contributors":{"authors":[{"text":"Wilkinson, Stuart K. swilk@usgs.gov","contributorId":3401,"corporation":false,"usgs":true,"family":"Wilkinson","given":"Stuart","email":"swilk@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":522851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":522852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langbein, John O. 0000-0002-7821-8101 langbein@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":3293,"corporation":false,"usgs":true,"family":"Langbein","given":"John","email":"langbein@usgs.gov","middleInitial":"O.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":522853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lisowski, Michael 0000-0003-4818-2504 mlisowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4818-2504","contributorId":637,"corporation":false,"usgs":true,"family":"Lisowski","given":"Michael","email":"mlisowski@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":522854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":522855,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70129373,"text":"70129373 - 2014 - Invasive crayfish as vectors of mercury in freshwater food webs of the Pacific Northwest","interactions":[],"lastModifiedDate":"2018-09-04T16:51:09","indexId":"70129373","displayToPublicDate":"2014-11-01T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Invasive crayfish as vectors of mercury in freshwater food webs of the Pacific Northwest","docAbstract":"Invasive species are important drivers of environmental change in aquatic ecosystems and can alter habitat characteristics, community composition, and ecosystem energetics. Such changes have important implications for many ecosystem processes, including the bioaccumulation and biomagnification of contaminants through food webs. Mercury concentrations were measured in 2 nonnative and 1 native crayfish species from western Oregon (USA). Nonnative red swamp crayfish had mercury concentrations similar to those in native signal crayfish (0.29 ± 0.05 µg/g dry wt and 0.36 ± 0.06 µg/g dry wt, respectively), whereas the nonnative ringed crayfish had lower mercury concentrations (0.10 ± 0.02 µg/g dry wt) than either of the other species. The mean energy content of muscle was similar between the native signal crayfish and nonnative ringed crayfish but was significantly higher in the nonnative red swamp crayfish. Across species, mercury concentrations were negatively correlated with energy density. Such energetic differences could exacerbate changes in mercury transfer through trophic pathways of food webs, especially via alterations to the growth dynamics of consumers. Thus, it is important to consider the role of energy content in determining effective mercury exposure even when mercury concentrations on a per-unit mass basis do not differ between species.","language":"English","publisher":"Elsevier","doi":"10.1002/etc.2727","usgsCitation":"Johnson, B., Willacker, J.J., Eagles-Smith, C.A., Pearl, C.A., and Adams, M.J., 2014, Invasive crayfish as vectors of mercury in freshwater food webs of the Pacific Northwest: Environmental Toxicology and Chemistry, v. 33, no. 11, p. 2639-2645, https://doi.org/10.1002/etc.2727.","productDescription":"7 p.","startPage":"2639","endPage":"2645","numberOfPages":"7","ipdsId":"IP-056979","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":295589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295552,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2727"}],"country":"United States","state":"Oregon","volume":"33","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-08-20","publicationStatus":"PW","scienceBaseUri":"547ae028e4b0da0a54dbb5ff","chorus":{"doi":"10.1002/etc.2727","url":"http://dx.doi.org/10.1002/etc.2727","publisher":"Wiley-Blackwell","authors":"Johnson Branden L., Willacker James J., Eagles-Smith Collin A., Pearl Christopher A., Adams Michael J.","journalName":"Environmental Toxicology and Chemistry","publicationDate":"9/16/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Johnson, Branden L. branden_johnson@usgs.gov","contributorId":4168,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden L.","email":"branden_johnson@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":523225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willacker, James J. jwillacker@usgs.gov","contributorId":5614,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"jwillacker@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":523226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":523222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearl, Christopher A. 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":3131,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":523223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":523224,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134235,"text":"70134235 - 2014 - U.S. response to a report of infectious salmon anemia virus in Western North America","interactions":[],"lastModifiedDate":"2016-04-26T09:38:35","indexId":"70134235","displayToPublicDate":"2014-11-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"U.S. response to a report of infectious salmon anemia virus in Western North America","docAbstract":"Federal, state, and tribal fishery managers, as well as the general public and their elected representatives in the United States, were concerned when infectious salmon anemia virus (ISAV) was suspected for the first time in free-ranging Pacific Salmon collected from the coastal areas of British Columbia, Canada. This article documents how national and regional fishery managers and fish health specialists of the U.S. worked together and planned and implemented actions in response to the reported finding of ISAV in British Columbia. To date, the reports by Simon Fraser University remain unconfirmed and preliminary results from collaborative U.S. surveillance indicate that there is no evidence of ISAV in U.S. populations of free-ranging or marine-farmed salmonids on the west coast of North America.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2014.967348","usgsCitation":"Amos, K.H., Gustafson, L., Warg, J., Whaley, J., Purcell, M., Rolland, J.B., Winton, J., Snekvik, K., Meyers, T., Stewart, B., Kerwin, J., Blair, M., Bader, J., and Evered, J., 2014, U.S. response to a report of infectious salmon anemia virus in Western North America: Fisheries, v. 39, no. 11, p. 501-506, https://doi.org/10.1080/03632415.2014.967348.","productDescription":"6 p.","startPage":"501","endPage":"506","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056893","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":296383,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-11-20","publicationStatus":"PW","scienceBaseUri":"547ee2d4e4b09357f05f8a76","contributors":{"authors":[{"text":"Amos, Kevin H","contributorId":127570,"corporation":false,"usgs":false,"family":"Amos","given":"Kevin","email":"","middleInitial":"H","affiliations":[{"id":7054,"text":"NOAA/NMFS, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":525719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gustafson, Lori","contributorId":127571,"corporation":false,"usgs":false,"family":"Gustafson","given":"Lori","affiliations":[{"id":7055,"text":"Animal and Plant Health Inspection Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":525720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warg, Janet","contributorId":127572,"corporation":false,"usgs":false,"family":"Warg","given":"Janet","email":"","affiliations":[{"id":7056,"text":"Animal and Plant Health Insepction Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":525721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whaley, Janet","contributorId":127573,"corporation":false,"usgs":false,"family":"Whaley","given":"Janet","affiliations":[{"id":7055,"text":"Animal and Plant Health Inspection Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":525722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":525723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rolland, Jill B. jrolland@usgs.gov","contributorId":5389,"corporation":false,"usgs":true,"family":"Rolland","given":"Jill","email":"jrolland@usgs.gov","middleInitial":"B.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":525724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winton, James R. jwinton@usgs.gov","contributorId":127569,"corporation":false,"usgs":true,"family":"Winton","given":"James R.","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":525718,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snekvik, Kevin","contributorId":127574,"corporation":false,"usgs":false,"family":"Snekvik","given":"Kevin","email":"","affiliations":[{"id":7057,"text":"Washington Animal Disease Diagnostic Laboratory, Washington State Univeristy","active":true,"usgs":false}],"preferred":false,"id":525725,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meyers, Theodore","contributorId":127575,"corporation":false,"usgs":false,"family":"Meyers","given":"Theodore","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":525726,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stewart, Bruce","contributorId":127576,"corporation":false,"usgs":false,"family":"Stewart","given":"Bruce","email":"","affiliations":[{"id":7059,"text":"Northwest Indian Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":525727,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kerwin, John","contributorId":127577,"corporation":false,"usgs":false,"family":"Kerwin","given":"John","email":"","affiliations":[{"id":7060,"text":"Washington State Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":525728,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Blair, Marilyn","contributorId":44388,"corporation":false,"usgs":true,"family":"Blair","given":"Marilyn","affiliations":[],"preferred":false,"id":525730,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bader, Joel","contributorId":127578,"corporation":false,"usgs":false,"family":"Bader","given":"Joel","email":"","affiliations":[{"id":7061,"text":"U.S. FWS, DOI","active":true,"usgs":false}],"preferred":false,"id":525729,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Evered, Joy","contributorId":127579,"corporation":false,"usgs":false,"family":"Evered","given":"Joy","affiliations":[{"id":7061,"text":"U.S. FWS, DOI","active":true,"usgs":false}],"preferred":false,"id":525731,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70133182,"text":"70133182 - 2014 - Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","interactions":[],"lastModifiedDate":"2020-12-31T20:25:13.964435","indexId":"70133182","displayToPublicDate":"2014-11-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","title":"Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","docAbstract":"The Ross’s gull (Rhodostethia rosea) is a poorly known seabird of the circumpolar Arctic. The only place in the world where Ross’s gulls are known to congregate is in the near-shore waters around Point Barrow, Alaska, where they undertake an annual passage in late fall. Ross’s gulls seen at Point Barrow are presumed to originate from nesting colonies in Siberia, but neither their origin nor their destination has been confirmed. Current estimates of the global population of Ross’s gulls are based largely on expert opinion, and the only reliable population estimate is derived from extrapolations from previous counts conducted at Point Barrow, but these data are now over 25 years old. In order to update and clarify the status of this species in Alaska, our study quantified the timing, number, and flight direction of Ross’s gulls passing Point Barrow in 2011. We recorded up to two-thirds of the estimated global population of Ross’s gulls (≥27,000 individuals) over 39 days with numbers peaking on 16 October when we observed over 7,000 birds during a 3-h period.
","language":"English","publisher":"Springer","doi":"10.1007/s00300-014-1552-4","usgsCitation":"Maftei, M., Davis, S.E., Uher-Koch, B.D., Gesmundo, C., Suydam, R., and Mallory, M.L., 2014, Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska: Polar Biology, v. 37, no. 11, p. 1705-1710, https://doi.org/10.1007/s00300-014-1552-4.","productDescription":"6 p.","startPage":"1705","endPage":"1710","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056953","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Point Barrow","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.3626708984375,\n 71.21430638639127\n ],\n [\n -155.665283203125,\n 71.21430638639127\n ],\n [\n -155.665283203125,\n 71.60134862675986\n ],\n [\n -157.3626708984375,\n 71.60134862675986\n ],\n [\n -157.3626708984375,\n 71.21430638639127\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-07-31","publicationStatus":"PW","scienceBaseUri":"5465d636e4b04d4b7dbd6641","contributors":{"authors":[{"text":"Maftei, Mark","contributorId":127435,"corporation":false,"usgs":false,"family":"Maftei","given":"Mark","email":"","affiliations":[],"preferred":false,"id":525152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Shanti E.","contributorId":127436,"corporation":false,"usgs":false,"family":"Davis","given":"Shanti","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":525151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":524850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":525153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suydam, R.S.","contributorId":74213,"corporation":false,"usgs":true,"family":"Suydam","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":525154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mallory, Mark L.","contributorId":127438,"corporation":false,"usgs":false,"family":"Mallory","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":525155,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138189,"text":"70138189 - 2014 - An objective and parsimonious approach for classifying natural flow regimes at a continental scale","interactions":[],"lastModifiedDate":"2015-01-15T12:44:06","indexId":"70138189","displayToPublicDate":"2014-11-01T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An objective and parsimonious approach for classifying natural flow regimes at a continental scale","docAbstract":"Hydro-ecological stream classification-the process of grouping streams by similar hydrologic responses and, by extension, similar aquatic habitat-has been widely accepted and is considered by some to be one of the first steps towards developing ecological flow targets. A new classification of 1543 streamgauges in the contiguous USA is presented by use of a novel and parsimonious approach to understand similarity in ecological streamflow response. This novel classification approach uses seven fundamental daily streamflow statistics (FDSS) rather than winnowing down an uncorrelated subset from 200 or more ecologically relevant streamflow statistics (ERSS) commonly used in hydro-ecological classification studies. The results of this investigation demonstrate that the distributions of 33 tested ERSS are consistently different among the classification groups derived from the seven FDSS. It is further shown that classification based solely on the 33 ERSS generally does a poorer job in grouping similar streamgauges than the classification based on the seven FDSS. This new classification approach has the additional advantages of overcoming some of the subjectivity associated with the selection of the classification variables and provides a set of robust continental-scale classes of US streamgauges. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2710","collaboration":"USGS National Water Census","usgsCitation":"Archfield, S.A., Kennen, J., Carlisle, D.M., and Wolock, D.M., 2014, An objective and parsimonious approach for classifying natural flow regimes at a continental scale: River Research and Applications, v. 30, no. 9, p. 1166-1183, https://doi.org/10.1002/rra.2710.","productDescription":"18 p.","startPage":"1166","endPage":"1183","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050605","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":297295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297285,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/rra.2710/full"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"54dd2b30e4b08de9379b329e","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":538566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157371,"text":"70157371 - 2014 - Using mark-recapture distance sampling methods on line transect surveys","interactions":[],"lastModifiedDate":"2017-11-24T17:47:57","indexId":"70157371","displayToPublicDate":"2014-11-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using mark-recapture distance sampling methods on line transect surveys","docAbstract":"The Coastal Storm Modeling System (CoSMoS) applies a predominantly deterministic framework to make detailed predictions (meter scale) of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales (100s of kilometers). CoSMoS was developed for hindcast studies, operational applications (i.e., nowcasts and multiday forecasts), and future climate scenarios (i.e., sea-level rise + storms) to provide emergency responders and coastal planners with critical storm hazards information that may be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. The prototype system, developed for the California coast, uses the global WAVEWATCH III wave model, the TOPEX/Poseidon satellite altimetry-based global tide model, and atmospheric-forcing data from either the US National Weather Service (operational mode) or Global Climate Models (future climate mode), to determine regional wave and water-level boundary conditions. These physical processes are dynamically downscaled using a series of nested Delft3D-WAVE (SWAN) and Delft3D-FLOW (FLOW) models and linked at the coast to tightly spaced XBeach (eXtreme Beach) cross-shore profile models and a Bayesian probabilistic cliff failure model. Hindcast testing demonstrates that, despite uncertainties in preexisting beach morphology over the ~500 km alongshore extent of the pilot study area, CoSMoS effectively identifies discrete sections of the coast (100s of meters) that are vulnerable to coastal hazards under a range of current and future oceanographic forcing conditions, and is therefore an effective tool for operational and future climate scenario planning.
","language":"English","publisher":"International Society for the Prevention and Mitigation of Natural Hazards","publisherLocation":"Dordrecht","doi":"10.1007/s11069-014-1236-y","usgsCitation":"Barnard, P., van Ormondt, M., Erikson, L., Eshleman, J., Hapke, C.J., Peter Ruggiero, Adams, P., and Foxgrover, A.C., 2014, Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts: Natural Hazards, v. 74, no. 2, p. 1095-1125, https://doi.org/10.1007/s11069-014-1236-y.","productDescription":"31 p.","startPage":"1095","endPage":"1125","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-21","publicationStatus":"PW","scienceBaseUri":"55e57aace4b05561fa20868b","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Ormondt, Maarten","contributorId":147148,"corporation":false,"usgs":false,"family":"van Ormondt","given":"Maarten","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":570536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":147149,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":570537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eshleman, Jodi","contributorId":147150,"corporation":false,"usgs":false,"family":"Eshleman","given":"Jodi","email":"","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":570538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":570539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peter Ruggiero","contributorId":147151,"corporation":false,"usgs":false,"family":"Peter Ruggiero","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":570540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Peter","contributorId":147152,"corporation":false,"usgs":false,"family":"Adams","given":"Peter","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":570541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570542,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70134233,"text":"70134233 - 2014 - Differential susceptibility in steelhead trout populations to an emergent MD strain of infectious hematopoietic necrosis virus","interactions":[],"lastModifiedDate":"2020-12-23T15:22:14.785559","indexId":"70134233","displayToPublicDate":"2014-11-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Differential susceptibility in steelhead trout populations to an emergent MD strain of infectious hematopoietic necrosis virus","docAbstract":"A significant emergence of trout-adapted MD subgroup infectious hematopoietic necrosis virus (IHNV) began in the coastal region of Washington State, USA, in 2007. This emergence event lasted until 2011 and caused both asymptomatic adult fish infection and symptomatic epidemic disease and mortality in juvenile fish. Incidence of virus during this emergence demonstrated a heterogeneous distribution among rivers of the coastal region, leaving fish populations of some rivers apparently untouched while others suffered significant and recurrent infection and mortality (Breyta et. al. 2013; Dis Aquat Org 104:179-195). In this study, we examined the possible contribution of variations in susceptibility of fish populations, age-related resistance, and virus virulence to the observed landscape heterogeneity. We found that the most significant variable was host susceptibility: by controlled experimental challenge studies steelhead trout populations with no history of IHNV infection were 1 to 3 orders of magnitude more sensitive than a fish population with a long history of IHNV infection. In addition, 2 fish populations from the same river, which descended relatively recently from a common ancestral population, demonstrated 1 to 2 orders of magnitude difference in susceptibility. Fish age-related development of resistance was most evident in the more susceptible of 2 related fish populations. Finally, the strain of virus involved in the 2007 coastal Washington emergence had high virulence but was within the range of other known M group viruses tested. These results suggest that one major driver of landscape heterogeneity in the 2007 coastal Washington IHNV emergence was variation in fish population susceptibility and that this trait may have a heritable component.
","language":"English","publisher":"Inter-Research Science Center","publisherLocation":"Oldendorf/Luhe, Germany","doi":"10.3354/dao02781","usgsCitation":"Breyta, R., Jones, A., and Kurath, G., 2014, Differential susceptibility in steelhead trout populations to an emergent MD strain of infectious hematopoietic necrosis virus: Diseases of Aquatic Organisms, v. 112, no. 1, p. 17-28, https://doi.org/10.3354/dao02781.","productDescription":"12 p.","startPage":"17","endPage":"28","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055167","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02781","text":"Publisher Index Page"},{"id":296378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.87060546874999,\n 45.81348649679973\n ],\n [\n -122.18994140624999,\n 45.81348649679973\n ],\n [\n -122.18994140624999,\n 48.99463598353405\n ],\n [\n -124.87060546874999,\n 48.99463598353405\n ],\n [\n -124.87060546874999,\n 45.81348649679973\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"112","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2bde4b09357f05f8a44","contributors":{"authors":[{"text":"Breyta, R.","contributorId":92949,"corporation":false,"usgs":true,"family":"Breyta","given":"R.","email":"","affiliations":[],"preferred":false,"id":526092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Amelia","contributorId":127565,"corporation":false,"usgs":false,"family":"Jones","given":"Amelia","email":"","affiliations":[{"id":7053,"text":"Volunteer, USGS, WFRC, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":525706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":525707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155173,"text":"70155173 - 2014 - Lattice Boltzmann methods applied to large-scale three-dimensional virtual cores constructed from digital optical borehole images of the karst carbonate Biscayne aquifer in southeastern Florida","interactions":[],"lastModifiedDate":"2015-07-31T10:48:13","indexId":"70155173","displayToPublicDate":"2014-11-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"2015-1133","title":"Lattice Boltzmann methods applied to large-scale three-dimensional virtual cores constructed from digital optical borehole images of the karst carbonate Biscayne aquifer in southeastern Florida","docAbstract":"Digital optical borehole images at approximately 2 mm vertical resolution and borehole caliper data were used to create three-dimensional renderings of the distribution of (1) matrix porosity and (2) vuggy megaporosity for the karst carbonate Biscayne aquifer in southeastern Florida. The renderings based on the borehole data were used as input into Lattice Boltzmann methods to obtain intrinsic permeability estimates for this extremely transmissive aquifer, where traditional aquifer test methods may fail due to very small drawdowns and non-Darcian flow that can reduce apparent hydraulic conductivity. Variogram analysis of the borehole data suggests a nearly isotropic rock structure at lag lengths up to the nominal borehole diameter. A strong correlation between the diameter of the borehole and the presence of vuggy megaporosity in the data set led to a bias in the variogram where the computed horizontal spatial autocorrelation is strong at lag distances greater than the nominal borehole size. Lattice Boltzmann simulation of flow across a 0.4 × 0.4 × 17 m (2.72 m3 volume) parallel-walled column of rendered matrix and vuggy megaporosity indicates a high hydraulic conductivity of 53 m s−1. This value is similar to previous Lattice Boltzmann calculations of hydraulic conductivity in smaller limestone samples of the Biscayne aquifer. The development of simulation methods that reproduce dual-porosity systems with higher resolution and fidelity and that consider flow through horizontally longer renderings could provide improved estimates of the hydraulic conductivity and help to address questions about the importance of scale.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014WR015465","collaboration":"None","usgsCitation":"Michael Sukop, and Cunningham, K.J., 2014, Lattice Boltzmann methods applied to large-scale three-dimensional virtual cores constructed from digital optical borehole images of the karst carbonate Biscayne aquifer in southeastern Florida: Water Resources Research, v. 50, no. 11, p. 8807-8825, https://doi.org/10.1002/2014WR015465.","productDescription":"19 p.","startPage":"8807","endPage":"8825","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049416","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":472657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015465","text":"Publisher Index Page"},{"id":306287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"11","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"55bc9c2de4b033ef52100f2f","contributors":{"authors":[{"text":"Michael Sukop","contributorId":145653,"corporation":false,"usgs":false,"family":"Michael Sukop","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":564970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":564969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157379,"text":"70157379 - 2014 - Attenuation and scattering tomography of the deep plumbing system of Mount St. Helens","interactions":[],"lastModifiedDate":"2019-03-05T09:51:38","indexId":"70157379","displayToPublicDate":"2014-11-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Attenuation and scattering tomography of the deep plumbing system of Mount St. Helens","docAbstract":"We present a combined 3-D P wave attenuation, 2-D S coda attenuation, and 3-D S coda scattering tomography model of fluid pathways, feeding systems, and sediments below Mount St. Helens (MSH) volcano between depths of 0 and 18 km. High-scattering and high-attenuation shallow anomalies are indicative of magma and fluid-rich zones within and below the volcanic edifice down to 6 km depth, where a high-scattering body outlines the top of deeper aseismic velocity anomalies. Both the volcanic edifice and these structures induce a combination of strong scattering and attenuation on any seismic wavefield, particularly those recorded on the northern and eastern flanks of the volcanic cone. North of the cone between depths of 0 and 10 km, a low-velocity, high-scattering, and high-attenuation north-south trending trough is attributed to thick piles of Tertiary marine sediments within the St. Helens Seismic Zone. A laterally extended 3-D scattering contrast at depths of 10 to 14 km is related to the boundary between upper and lower crust and caused in our interpretation by the large-scale interaction of the Siletz terrane with the Cascade arc crust. This contrast presents a low-scattering, 4–6 km2 “hole” under the northeastern flank of the volcano. We infer that this section represents the main path of magma ascent from depths greater than 6 km at MSH, with a small north-east shift in the lower plumbing system of the volcano. We conclude that combinations of different nonstandard tomographic methods, leading toward full-waveform tomography, represent the future of seismic volcano imaging.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1002/2014JB011372","usgsCitation":"De Siena, L., Thomas, C., Waite, G., Moran, S.C., and Klemme, S., 2014, Attenuation and scattering tomography of the deep plumbing system of Mount St. Helens: Journal of Geophysical Research B: Solid Earth, v. 119, no. 11, p. 8223-8238, https://doi.org/10.1002/2014JB011372.","productDescription":"16 p.","startPage":"8223","endPage":"8238","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054945","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011372","text":"Publisher Index Page"},{"id":308432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Skamania","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.35,\n 46.0833\n ],\n [\n -122,\n 46.0833\n ],\n [\n -122,\n 46.3\n ],\n [\n -122.35,\n 46.3\n ],\n [\n -122.35,\n 46.0833\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-07","publicationStatus":"PW","scienceBaseUri":"5603cd32e4b03bc34f544aee","contributors":{"authors":[{"text":"De Siena, Luca","contributorId":147853,"corporation":false,"usgs":false,"family":"De Siena","given":"Luca","email":"","affiliations":[{"id":16948,"text":"Institut fur Geophysik, University of Munster, Germany","active":true,"usgs":false}],"preferred":false,"id":572924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Christine","contributorId":84988,"corporation":false,"usgs":true,"family":"Thomas","given":"Christine","affiliations":[],"preferred":false,"id":572925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Greg P.","contributorId":147854,"corporation":false,"usgs":false,"family":"Waite","given":"Greg P.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":572926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klemme, Stefan","contributorId":147855,"corporation":false,"usgs":false,"family":"Klemme","given":"Stefan","email":"","affiliations":[{"id":16949,"text":"Institut fur Mineralogie, University of Munster, Germany","active":true,"usgs":false}],"preferred":false,"id":572927,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133249,"text":"70133249 - 2014 - Competition between introduced and native spiders (Araneae: Linyphiidae)","interactions":[],"lastModifiedDate":"2020-12-21T17:54:17.955847","indexId":"70133249","displayToPublicDate":"2014-11-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Competition between introduced and native spiders (Araneae: Linyphiidae)","docAbstract":"The European sheet-web spider Linyphia triangularis (Araneae: Linyphiidae) has become established in Maine, where it often reaches very high densities. Two lines of evidence from previous work suggest that L. triangularis affects populations of the native linyphiid spider Frontinella communis. First, F. communis individuals are relatively scarce in both forest and coastal habitat where L. triangularis is common, but more common where L. triangularis is at low density. Second, in field experiments, F. communis species are less likely to settle in experimental plots when L. triangularis is present, and F. communis disappears from study plots when L. triangularis is introduced. Here we test two mechanisms that may underlie these patterns. First, we tested whether L. triangularis invades and usurps the webs of F. communis. When spiders were released onto webs of heterospecifics, L. triangularis was more likely to take over or share webs of F. communis than the reverse. We also observed natural takeovers of F. communis webs. Second, we explored the hypothesis that L. triangularis reduces prey availability for native species. We sampled flying prey in areas with L. triangularis and those where it had been removed, and found no effect of spider presence on measured prey density. We also found no effect of prey supplementation on web tenacity in F. communis, suggesting that F. communis movements are not highly dependent on prey availability. We conclude that web takeover is likely more important than prey reduction in driving negative effects of L. triangularis on F. communis.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-014-0679-0","usgsCitation":"Houser, J., Ginsberg, H.S., and Jakob, E.M., 2014, Competition between introduced and native spiders (Araneae: Linyphiidae): Biological Invasions, v. 16, no. 11, p. 2479-2488, https://doi.org/10.1007/s10530-014-0679-0.","productDescription":"10 p.","startPage":"2479","endPage":"2488","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054677","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488439,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/146","text":"External Repository"},{"id":296070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","county":"Hancock County","otherGeospatial":"Arcadia National Park, Schoodic Point","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.08502197265625,\n 44.328023358092224\n ],\n [\n -68.03695678710938,\n 44.328023358092224\n ],\n [\n -68.03695678710938,\n 44.39576876734357\n ],\n [\n -68.08502197265625,\n 44.39576876734357\n ],\n [\n -68.08502197265625,\n 44.328023358092224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-04-03","publicationStatus":"PW","scienceBaseUri":"5465d630e4b04d4b7dbd65a5","contributors":{"authors":[{"text":"Houser, J.D.","contributorId":127387,"corporation":false,"usgs":false,"family":"Houser","given":"J.D.","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":524977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":3204,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","email":"hginsberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":524976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jakob, Elizabeth M.","contributorId":90602,"corporation":false,"usgs":true,"family":"Jakob","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":524978,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170987,"text":"70170987 - 2014 - An 8700 year paleoclimate reconstruction from the southern Maya lowlands","interactions":[],"lastModifiedDate":"2016-05-17T10:42:33","indexId":"70170987","displayToPublicDate":"2014-11-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"An 8700 year paleoclimate reconstruction from the southern Maya lowlands","docAbstract":"Analysis of a sediment core from Lago Puerto Arturo, a closed basin lake in northern Peten, Guatemala, has provided an ∼8700 cal year record of climate change and human activity in the southern Maya lowlands. Stable isotope, magnetic susceptibility, and pollen analyses were used to reconstruct environmental change in the region. Results indicate a relatively wet early to middle Holocene followed by a drier late Holocene, which we interpret as reflecting long-term changes in insolation (precession). Higher frequency variability is more likely attributable to changes in ocean/atmosphere circulation in both the North Atlantic and the Pacific Oceans. Pollen and isotope data show that most of the period of prehispanic agricultural settlement, i.e. ∼5000–1000 cal yr BP, was characterized by drier conditions than previous or subsequent periods. The presence ofZea (corn) pollen through peak aridity during the Terminal Classic period (∼1250–1130 cal yr BP) suggests that drought may not have had as negative an impact as previously proposed. A dramatic negative shift in isotope values indicates an increase in precipitation after ∼950 cal yr BP (hereafter BP).
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.quascirev.2014.08.004","usgsCitation":"Wahl, D.B., Byrne, R., and Anderson, L., 2014, An 8700 year paleoclimate reconstruction from the southern Maya lowlands: Quaternary Science Reviews, v. 103, p. 19-25, https://doi.org/10.1016/j.quascirev.2014.08.004.","productDescription":"7 p.","startPage":"19","endPage":"25","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053384","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":321292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d643be4b07e28b66834a0","contributors":{"authors":[{"text":"Wahl, David B. 0000-0002-0451-3554 dwahl@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":3433,"corporation":false,"usgs":true,"family":"Wahl","given":"David","email":"dwahl@usgs.gov","middleInitial":"B.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":629341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Roger","contributorId":13630,"corporation":false,"usgs":true,"family":"Byrne","given":"Roger","email":"","affiliations":[],"preferred":false,"id":629342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":629343,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}