{"pageNumber":"1647","pageRowStart":"41150","pageSize":"25","recordCount":184606,"records":[{"id":70038435,"text":"ofr20121109 - 2012 - Introduction to geospatial semantics and technology workshop handbook","interactions":[],"lastModifiedDate":"2012-06-01T01:01:40","indexId":"ofr20121109","displayToPublicDate":"2012-05-31T00:00:00","publicationYear":"2012","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":"2012-1109","title":"Introduction to geospatial semantics and technology workshop handbook","docAbstract":"The workshop is a tutorial on introductory geospatial semantics with hands-on exercises using standard Web browsers. The workshop is divided into two sections, general semantics on the Web and specific examples of geospatial semantics using data from The National Map of the U.S. Geological Survey and the Open Ontology Repository. The general semantics section includes information and access to publicly available semantic archives. The specific session includes information on geospatial semantics with access to semantically enhanced data for hydrography, transportation, boundaries, and names. The Open Ontology Repository offers open-source ontologies for public use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121109","usgsCitation":"Varanka, D.E., 2012, Introduction to geospatial semantics and technology workshop handbook: U.S. Geological Survey Open-File Report 2012-1109, iii, 107 p., https://doi.org/10.3133/ofr20121109.","productDescription":"iii, 107 p.","startPage":"i","endPage":"107","numberOfPages":"110","costCenters":[{"id":161,"text":"Center of Excellence for Geospatial Information Science (CEGIS)","active":false,"usgs":true}],"links":[{"id":257055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1109.gif"},{"id":257040,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1109/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3dece4b0c8380cd6395d","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":464128,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038191,"text":"70038191 - 2012 - Hatchlings of the western pond turtle (Actinemys marmorata) in diet of great blue heron (Ardea herodias)","interactions":[],"lastModifiedDate":"2017-11-21T16:42:22","indexId":"70038191","displayToPublicDate":"2012-05-30T13:25:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Hatchlings of the western pond turtle (Actinemys marmorata) in diet of great blue heron (Ardea herodias)","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northwestern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Northwestern Vertebrate Biology","publisherLocation":"Olympia, WA","doi":"10.1898/11-24.1","usgsCitation":"Niemela, S.A., and Bury, R.B., 2012, Hatchlings of the western pond turtle (Actinemys marmorata) in diet of great blue heron (Ardea herodias): Northwestern Naturalist, v. 93, no. 1, p. 84-85, https://doi.org/10.1898/11-24.1.","productDescription":"2 p.","startPage":"84","endPage":"85","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":257182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254592,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1898/11-24.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"93","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f8be4b0c8380cd5cea5","contributors":{"authors":[{"text":"Niemela, Steve A.","contributorId":25405,"corporation":false,"usgs":true,"family":"Niemela","given":"Steve","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bury, R. Bruce buryb@usgs.gov","contributorId":3660,"corporation":false,"usgs":true,"family":"Bury","given":"R.","email":"buryb@usgs.gov","middleInitial":"Bruce","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":463627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70006212,"text":"70006212 - 2012 - The challenge of retarding erosion of island biodiversity through phytosanitary measures: An update on the case of Puccinia psidii in Hawai'i","interactions":[],"lastModifiedDate":"2013-11-15T10:12:22","indexId":"70006212","displayToPublicDate":"2012-05-30T12:24:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"The challenge of retarding erosion of island biodiversity through phytosanitary measures: An update on the case of Puccinia psidii in Hawai'i","docAbstract":"Most rust fungi are highly host specific, but Puccina psidii has an extremely broad host range within Myrtaceae and gained notoriety with a host jump in its native Brazil from common guava (Psidium guajava) to commercial Eucalyptus plantations. When detected in Hawaiʻi in April 2005, the first invasion outside the neotropics/subtropics, there was immediate concern for ʻōhiʻa (Metrosideros polymorpha). ʻŌhiʻa composes 80% of native forest statewide, providing stable watersheds and habitat for most Hawaiian forest birds and plants. Within months, rust spores spread statewide on wind currents, but ʻōhiʻa was found to be only a minor host, showing very light damage. The primary host was nonnative rose apple (Syzygium jambos), severely affected at a landscape scale, but the epiphytotic subsided as rose apple was largely defoliated or killed within several years. The limited and stable host range in Hawaiʻi (versus elsewhere) led the local conservation community to explore possibilities for excluding new genetic strains of P. psidii. Although national/international phytosanitary standards require strong scientific justification for regulations involving an infraspecific taxonomic level, hopes were buoyed when genetic studies showed no apparent genetic variation/evolution in Hawaiʻi's rust strain. A sophisticated genetic study of P. psidii in its home range is near completion; genetic variation is substantial, and host species strongly influences rust population structure. To prevent introduction of new strains, the Hawaiʻi Department of Agriculture is moving ahead with establishing stringent measures that restrict entry of Myrtaceae into Hawaiʻi. Meanwhile, P. psidii poses a major threat to Myrtaceae biodiversity worldwide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pacific Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Pacific Science Association","publisherLocation":"Honolulu, HI","doi":"10.2984/66.2.3","usgsCitation":"Loope, L.L., and Uchida, J.Y., 2012, The challenge of retarding erosion of island biodiversity through phytosanitary measures: An update on the case of Puccinia psidii in Hawai'i: Pacific Science, v. 66, no. 2, p. 127-139, https://doi.org/10.2984/66.2.3.","productDescription":"13 p.","startPage":"127","endPage":"139","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":257155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257148,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2984/66.2.3","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","volume":"66","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa12e4b08c986b3226ed","contributors":{"authors":[{"text":"Loope, Lloyd L.","contributorId":107848,"corporation":false,"usgs":true,"family":"Loope","given":"Lloyd","email":"","middleInitial":"L.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":354070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uchida, Janice Y.","contributorId":13083,"corporation":false,"usgs":true,"family":"Uchida","given":"Janice","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":354069,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038434,"text":"ofr20121097 - 2012 - Surveillance for White-Nose Syndrome in the bat community at El Malpais National Monument, New Mexico, 2011","interactions":[],"lastModifiedDate":"2012-11-02T09:58:27","indexId":"ofr20121097","displayToPublicDate":"2012-05-30T00:00:00","publicationYear":"2012","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":"2012-1097","title":"Surveillance for White-Nose Syndrome in the bat community at El Malpais National Monument, New Mexico, 2011","docAbstract":"From late winter to summer 2011, the U.S. Geological Survey Arid Lands Field Station conducted mist-netting efforts at El Malpais National Monument and on adjacent lands belonging to Bureau of Land Management and U.S. Forest Service to detect the occurrence of white-nose syndrome or causal fungal agent (Geomyces destructans). During this assessment, 421 bats belonging to 8 species were documented at El Malpais National Monument and adjacent lands. None of these captures showed evidence for the presence of white-nose syndrome or G. destructans, but it is possible that the subtle signs of some infections may not have been observed. Throughout the field efforts, Laguna de Juan Garcia was the only water source located on El Malpais National Monument and was netted on June 20 and 27, July 25, and August 2, 2011. During these dates, a total of 155 bats were captured, belonging to eight species including: Corynorhinus townsendii (Townsend's Big-Eared Bat), Eptesicus fuscus (Big Brown Bat), Lasionycterics noctivagans (Silver-Haired Bat), Myotis ciliolabrum (Small-Footed Myotis), M. evotis (Long-eared myotis), M. thysanodes (Fringed Myotis), M. volans (Long-Legged Myotis), and Tadarida brasiliensis (Brazilian Free-Tailed Bat). Overall, Laguna de Juan Garcia had the greatest number of captures (79 bats) during one night compared to the other sites netted on adjacent lands and had the greatest species diversity of 8 species netted, not including Euderma maculatum (Spotted Bat) that was detected by its audible calls as it flew overhead. Laguna de Juan Garcia is an important site to bats because of its accessibility by all known occurring species, including the less-maneuverable T. brasiliensis that is known to form large colonies in the park. Laguna de Juan Garcia is also important as a more permanent water source during drought conditions in the earlier part of the spring and summer, as observed in 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121097","collaboration":"In cooperation with the National Park Service","usgsCitation":"Valdez, E.W., 2012, Surveillance for White-Nose Syndrome in the bat community at El Malpais National Monument, New Mexico, 2011: U.S. Geological Survey Open-File Report 2012-1097, iii, 19 p.; Appendix, https://doi.org/10.3133/ofr20121097.","productDescription":"iii, 19 p.; Appendix","startPage":"i","endPage":"37","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":257035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1097.png"},{"id":257034,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1097/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"El Malpais National Monument","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba27ce4b08c986b31f746","contributors":{"authors":[{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":464127,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038427,"text":"tm7C5 - 2012 - Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models","interactions":[],"lastModifiedDate":"2012-05-31T01:01:41","indexId":"tm7C5","displayToPublicDate":"2012-05-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C5","title":"Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models","docAbstract":"An object-oriented parameter estimation code was developed to incorporate benefits of object-oriented programming techniques for solving large parameter estimation modeling problems. The code is written in C++ and is a formulation and expansion of the algorithms included in PEST, a widely used parameter estimation code written in Fortran. The new code is called PEST++ and is designed to lower the barriers of entry for users and developers while providing efficient algorithms that can accommodate large, highly parameterized problems. This effort has focused on (1) implementing the most popular features of PEST in a fashion that is easy for novice or experienced modelers to use and (2) creating a software design that is easy to extend; that is, this effort provides a documented object-oriented framework designed from the ground up to be modular and extensible. In addition, all PEST++ source code and its associated libraries, as well as the general run manager source code, have been integrated in the Microsoft Visual Studio® 2010 integrated development environment. The PEST++ code is designed to provide a foundation for an open-source development environment capable of producing robust and efficient parameter estimation tools for the environmental modeling community into the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C5","collaboration":"Great Lakes Restoration Initiative: Computation Water Resource Engineering, Flinders University and Watermark Numerical Computing, S.S. Papadopulos and Associates, Inc., Principia Mathematica, Inc.","usgsCitation":"Welter, D.E., Doherty, J.E., Hunt, R.J., Muffels, C.T., Tonkin, M.J., and Schreuder, W.A., 2012, Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models: U.S. Geological Survey Techniques and Methods 7-C5, iii, 9 p.; Appendices; Software Download, https://doi.org/10.3133/tm7C5.","productDescription":"iii, 9 p.; Appendices; Software Download","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":257023,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c5/","linkFileType":{"id":5,"text":"html"}},{"id":257025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_C5.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ece2e4b0c8380cd49532","contributors":{"authors":[{"text":"Welter, David E.","contributorId":107539,"corporation":false,"usgs":true,"family":"Welter","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":464093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muffels, Christopher T.","contributorId":105949,"corporation":false,"usgs":true,"family":"Muffels","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":464096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreuder, Willem A.","contributorId":47213,"corporation":false,"usgs":true,"family":"Schreuder","given":"Willem","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464095,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038430,"text":"sir20125045 - 2012 - Prioritizing pesticide compounds for analytical methods development","interactions":[],"lastModifiedDate":"2012-05-31T01:01:41","indexId":"sir20125045","displayToPublicDate":"2012-05-30T00:00:00","publicationYear":"2012","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":"2012-5045","title":"Prioritizing pesticide compounds for analytical methods development","docAbstract":"The U.S. Geological Survey (USGS) has a periodic need to re-evaluate pesticide compounds in terms of priorities for inclusion in monitoring and studies and, thus, must also assess the current analytical capabilities for pesticide detection. To meet this need, a strategy has been developed to prioritize pesticides and degradates for analytical methods development. Screening procedures were developed to separately prioritize pesticide compounds in water and sediment. The procedures evaluate pesticide compounds in existing USGS analytical methods for water and sediment and compounds for which recent agricultural-use information was available. Measured occurrence (detection frequency and concentrations) in water and sediment, predicted concentrations in water and predicted likelihood of occurrence in sediment, potential toxicity to aquatic life or humans, and priorities of other agencies or organizations, regulatory or otherwise, were considered. Several existing strategies for prioritizing chemicals for various purposes were reviewed, including those that identify and prioritize persistent, bioaccumulative, and toxic compounds, and those that determine candidates for future regulation of drinking-water contaminants. The systematic procedures developed and used in this study rely on concepts common to many previously established strategies. The evaluation of pesticide compounds resulted in the classification of compounds into three groups: Tier 1 for high priority compounds, Tier 2 for moderate priority compounds, and Tier 3 for low priority compounds. For water, a total of 247 pesticide compounds were classified as Tier 1 and, thus, are high priority for inclusion in analytical methods for monitoring and studies. Of these, about three-quarters are included in some USGS analytical method; however, many of these compounds are included on research methods that are expensive and for which there are few data on environmental samples. The remaining quarter of Tier 1 compounds are high priority as new analytes. The objective for analytical methods development is to design an integrated analytical strategy that includes as many of the Tier 1 pesticide compounds as possible in a relatively few, cost-effective methods. More than 60 percent of the Tier 1 compounds are high priority because they are anticipated to be present at concentrations approaching levels that could be of concern to human health or aquatic life in surface water or groundwater. An additional 17 percent of Tier 1 compounds were frequently detected in monitoring studies, but either were not measured at levels potentially relevant to humans or aquatic organisms, or do not have benchmarks available with which to compare concentrations. The remaining 21 percent are pesticide degradates that were included because their parent pesticides were in Tier 1. Tier 1 pesticide compounds for water span all major pesticide use groups and a diverse range of chemical classes, with herbicides and their degradates composing half of compounds. Many of the high priority pesticide compounds also are in several national regulatory programs for water, including those that are regulated in drinking water by the U.S. Environmental Protection Agency under the Safe Drinking Water Act and those that are on the latest Contaminant Candidate List. For sediment, a total of 175 pesticide compounds were classified as Tier 1 and, thus, are high priority for inclusion in analytical methods available for monitoring and studies. More than 60 percent of these compounds are included in some USGS analytical method; however, some are spread across several research methods that are expensive to perform, and monitoring data are not extensive for many compounds. The remaining Tier 1 compounds for sediment are high priority as new analytes. The objective for analytical methods development for sediment is to enhance an existing analytical method that currently includes nearly half of the pesticide compounds in Tier 1 by adding as many additional Tier 1 compounds as are analytically compatible. About 35 percent of the Tier 1 compounds for sediment are high priority on the basis of measured occurrence. A total of 74 compounds, or 42 percent, are high priority on the basis of predicted likelihood of occurrence according to physical-chemical properties, and either have potential toxicity to aquatic life, high pesticide useage, or both. The remaining 22 percent of Tier 1 pesticide compounds were either degradates of Tier 1 parent compounds or included for other reasons. As with water, the Tier 1 pesticide compounds for sediment are distributed across the major pesticide-use groups; insecticides and their degradates are the largest fraction, making up 45 percent of Tier 1. In contrast to water, organochlorines, at 17 percent, are the largest chemical class for Tier 1 in sediment, which is to be expected because there is continued widespread detection in sediments of persistent organochlorine pesticides and their degradates at concentrations high enough for potential effects on aquatic life. Compared to water, there are fewer available benchmarks with which to compare contaminant concentrations in sediment, but a total of 19 Tier 1 compounds have at least one sediment benchmark or screening value for aquatic organisms. Of the 175 compounds in Tier 1, 77 percent have high aquatic-life toxicity, as defined for this process. This evaluation of pesticides and degradates resulted in two lists of compounds that are priorities for USGS analytical methods development, one for water and one for sediment. These lists will be used as the basis for redesigning and enhancing USGS analytical capabilities for pesticides in order to capture as many high-priority pesticide compounds as possible using an economically feasible approach.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125045","collaboration":"Prepared in cooperation with the National Water-Quality Assessment Program","usgsCitation":"Norman, J.E., Kuivila, K., and Nowell, L.H., 2012, Prioritizing pesticide compounds for analytical methods development: U.S. Geological Survey Scientific Investigations Report 2012-5045, xi, 74 p.; Appendices; Appendix 1 Excel Download, https://doi.org/10.3133/sir20125045.","productDescription":"xi, 74 p.; Appendices; Appendix 1 Excel Download","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":257039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5045.jpg"},{"id":257028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5045/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8c74e4b0c8380cd7e6ce","contributors":{"authors":[{"text":"Norman, Julia E. 0000-0002-2820-6225 jnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2820-6225","contributorId":3832,"corporation":false,"usgs":true,"family":"Norman","given":"Julia","email":"jnorman@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":464109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":464108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":464107,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038428,"text":"sir20125073 - 2012 - Estimation of streamflow gains and losses in the lower San Antonio River watershed, south-central Texas, 2006-10","interactions":[],"lastModifiedDate":"2016-08-08T09:01:48","indexId":"sir20125073","displayToPublicDate":"2012-05-30T00:00:00","publicationYear":"2012","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":"2012-5073","title":"Estimation of streamflow gains and losses in the lower San Antonio River watershed, south-central Texas, 2006-10","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District, investigated streamflow gains and losses during 2006-10 in the lower San Antonio River watershed in south-central Texas. Streamflow gains and losses were estimated using 2006-10 continuous streamflow records from 11 continuous streamflow-gaging stations, and discrete streamflow measurements made at as many as 20 locations on the San Antonio River and selected tributaries during four synoptic surveys during 2006-7. From the continuous streamflow records, the greatest streamflow gain on the lower San Antonio River occurred in the reach from Falls City, Tex., to Goliad, Tex. The greatest streamflow gain on Cibolo Creek during 2006-10 occurred in the reach from near Saint Hedwig, Tex., to Sutherland Springs, Tex. The San Antonio River between Floresville, Tex., and Falls City was the only reach that had an estimated streamflow loss during 2006-10. During all four synoptic streamflow measurement surveys, the only substantially flowing tributary reach to the main stem of the lower San Antonio River was Cibolo Creek. Along the main stem of the lower San Antonio River, verifiable gains larger than the potential measurement error were estimated in two of the four synoptic streamflow measurement surveys. These gaining reaches occurred in the two most downstream reaches of the San Antonio River between Goliad and Farm Road (FM) 2506 near Fannin, Tex., and between FM 2506 near Fannin to near McFaddin. There were verifiable gains in streamflow in Cibolo Creek, between La Vernia, Tex., and the town of Sutherland Springs during all four surveys, estimated at between 4.8 and 14 ft3/s.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125073","collaboration":"Prepared in cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District","usgsCitation":"Lizarraga, J.S., and Wehmeyer, L.L., 2012, Estimation of streamflow gains and losses in the lower San Antonio River watershed, south-central Texas, 2006-10: U.S. Geological Survey Scientific Investigations Report 2012-5073, v, 34 p., https://doi.org/10.3133/sir20125073.","productDescription":"v, 34 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":257029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5073.gif"},{"id":257027,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Bexar County, Comal County, Dewitt County, Goliad County, Gonzales County, Guadalupe County, Karnes County, Refugio County, Victoria County, Wilson County","otherGeospatial":"San Antonio River, Cibolo Creek, Clara Creek, Ecleto Creek, Escondido Creek, Cabeza Creek, Kicaster Creek, Martinez Creek, Manahuilla Creek, Picosa Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.5,28.5 ], [ -98.5,29.5 ], [ -97,29.5 ], [ -97,28.5 ], [ -98.5,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bb0e4b0c8380cd5281b","contributors":{"authors":[{"text":"Lizarraga, Joy S.","contributorId":43735,"corporation":false,"usgs":true,"family":"Lizarraga","given":"Joy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009605,"text":"70009605 - 2012 - Examining the contradiction in 'sustainable urban growth': an example of groundwater sustainability","interactions":[],"lastModifiedDate":"2012-05-29T01:01:35","indexId":"70009605","displayToPublicDate":"2012-05-28T11:29:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2261,"text":"Journal of Environmental Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Examining the contradiction in 'sustainable urban growth': an example of groundwater sustainability","docAbstract":"The environmental planning literature proposes a set of 'best management practices' for urban development that assumes improvement in environmental quality as a result of specific urban patterns. These best management practices, however, often do not recognise finite biophysical limits and social impacts that urban patterns alone cannot overcome. To shed light on this debate, we explore the effects of different degrees of urban clustering on groundwater levels using a coupled land-use change and groundwater-flow model. Our simulations show that specific urban forms only slow down the impact on groundwater. As population increases, the pattern in which it is accommodated ceases to matter, and widespread depletion ensues. These results are predictable, yet current planning practice tends to take growth for granted and is reluctant to envision either no-growth scenarios or the prospect of depletion. We propose to use simulations such as those presented here to aid in policy discussions that allow decision makers to question the assumption of sustainable growth and suggest alternative forms of development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Planning and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/09640568.2011.614426","usgsCitation":"Zellner, M.L., and Reeves, H.W., 2012, Examining the contradiction in 'sustainable urban growth': an example of groundwater sustainability: Journal of Environmental Planning and Management, v. 55, no. 5, p. 545-562, https://doi.org/10.1080/09640568.2011.614426.","productDescription":"18 p.","startPage":"545","endPage":"562","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":256991,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256986,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1080/09640568.2011.614426","linkFileType":{"id":5,"text":"html"}}],"volume":"55","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d9ce4b0c8380cd530ed","contributors":{"authors":[{"text":"Zellner, Moira L.","contributorId":57305,"corporation":false,"usgs":true,"family":"Zellner","given":"Moira","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356720,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009651,"text":"70009651 - 2012 - Improving sub-grid scale accuracy of boundary features in regional finite-difference models","interactions":[],"lastModifiedDate":"2012-05-30T01:01:38","indexId":"70009651","displayToPublicDate":"2012-05-25T09:37:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Improving sub-grid scale accuracy of boundary features in regional finite-difference models","docAbstract":"As an alternative to grid refinement, the concept of a ghost node, which was developed for nested grid applications, has been extended towards improving sub-grid scale accuracy of flow to conduits, wells, rivers or other boundary features that interact with a finite-difference groundwater flow model. The formulation is presented for correcting the regular finite-difference groundwater flow equations for confined and unconfined cases, with or without Newton Raphson linearization of the nonlinearities, to include the Ghost Node Correction (GNC) for location displacement. The correction may be applied on the right-hand side vector for a symmetric finite-difference Picard implementation, or on the left-hand side matrix for an implicit but asymmetric implementation. The finite-difference matrix connectivity structure may be maintained for an implicit implementation by only selecting contributing nodes that are a part of the finite-difference connectivity. Proof of concept example problems are provided to demonstrate the improved accuracy that may be achieved through sub-grid scale corrections using the GNC schemes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.advwatres.2012.02.011","usgsCitation":"Panday, S., and Langevin, C.D., 2012, Improving sub-grid scale accuracy of boundary features in regional finite-difference models: Advances in Water Resources, v. 41, p. 65-75, https://doi.org/10.1016/j.advwatres.2012.02.011.","productDescription":"11 p.","startPage":"65","endPage":"75","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":257002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256999,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.advwatres.2012.02.011","linkFileType":{"id":5,"text":"html"}}],"volume":"41","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a397de4b0c8380cd61935","contributors":{"authors":[{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":356811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":356810,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037818,"text":"70037818 - 2012 - Implementation of the vortex force formalism in the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system for inner shelf and surf zone applications","interactions":[],"lastModifiedDate":"2012-05-30T01:01:38","indexId":"70037818","displayToPublicDate":"2012-05-25T09:25:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2925,"text":"Ocean Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Implementation of the vortex force formalism in the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system for inner shelf and surf zone applications","docAbstract":"

The coupled ocean-atmosphere-wave-sediment transport modeling system (COAWST) enables simulations that integrate oceanic, atmospheric, wave and morphological processes in the coastal ocean. Within the modeling system, the three-dimensional ocean circulation module (ROMS) is coupled with the wave generation and propagation model (SWAN) to allow full integration of the effect of waves on circulation and vice versa. The existing wave-current coupling component utilizes a depth dependent radiation stress approach. In here we present a new approach that uses the vortex force formalism. The formulation adopted and the various parameterizations used in the model as well as their numerical implementation are presented in detail. The performance of the new system is examined through the presentation of four test cases. These include obliquely incident waves on a synthetic planar beach and a natural barred beach (DUCK' 94); normal incident waves on a nearshore barred morphology with rip channels; and wave-induced mean flows outside the surf zone at the Martha's Vineyard Coastal Observatory (MVCO).

\n

Model results from the planar beach case show good agreement with depth-averaged analytical solutions and with theoretical flow structures. Simulation results for the DUCK' 94 experiment agree closely with measured profiles of cross-shore and longshore velocity data from and . Diagnostic simulations showed that the nonlinear processes of wave roller generation and wave-induced mixing are important for the accurate simulation of surf zone flows. It is further recommended that a more realistic approach for determining the contribution of wave rollers and breaking induced turbulent mixing can be formulated using non-dimensional parameters which are functions of local wave parameters and the beach slope. Dominant terms in the cross-shore momentum balance are found to be the quasi-static pressure gradient and breaking acceleration. In the alongshore direction, bottom stress, breaking acceleration, horizontal advection and horizontal vortex forces dominate the momentum balance. The simulation results for the bar/rip channel morphology case clearly show the ability of the modeling system to reproduce horizontal and vertical circulation patterns similar to those found in laboratory studies and to numerical simulations using the radiation stress representation. The vortex force term is found to be more important at locations where strong flow vorticity interacts with the wave-induced Stokes flow field. Outside the surf zone, the three-dimensional model simulations of wave-induced flows for non-breaking waves closely agree with flow observations from MVCO, with the vertical structure of the simulated flow varying as a function of the vertical viscosity as demonstrated by Lentz et al. (2008).

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ocean Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ocemod.2012.01.003","usgsCitation":"Kumar, N., Voulgaris, G., Warner, J., and Olabarrieta, M., 2012, Implementation of the vortex force formalism in the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system for inner shelf and surf zone applications: Ocean Modelling, v. 47, p. 65-95, https://doi.org/10.1016/j.ocemod.2012.01.003.","productDescription":"31 p.","startPage":"65","endPage":"95","numberOfPages":"71","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474502,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5231","text":"External Repository"},{"id":257004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256998,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ocemod.2012.01.003","linkFileType":{"id":5,"text":"html"}}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3911e4b0c8380cd617b5","contributors":{"authors":[{"text":"Kumar, Nirnimesh","contributorId":102308,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":462820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":462818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":462817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":462819,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038423,"text":"tm11C5 - 2012 - Analyzing legacy U.S. Geological Survey geochemical databases using GIS: applications for a national mineral resource assessment","interactions":[],"lastModifiedDate":"2013-11-20T12:57:09","indexId":"tm11C5","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-C5","title":"Analyzing legacy U.S. Geological Survey geochemical databases using GIS: applications for a national mineral resource assessment","docAbstract":"This report emphasizes geographic information system analysis and the display of data stored in the legacy U.S. Geological Survey National Geochemical Database for use in mineral resource investigations. Geochemical analyses of soils, stream sediments, and rocks that are archived in the National Geochemical Database provide an extensive data source for investigating geochemical anomalies. A study area in the Egan Range of east-central Nevada was used to develop a geographic information system analysis methodology for two different geochemical datasets involving detailed (Bureau of Land Management Wilderness) and reconnaissance-scale (National Uranium Resource Evaluation) investigations. ArcGIS was used to analyze and thematically map geochemical information at point locations. Watershed-boundary datasets served as a geographic reference to relate potentially anomalous sample sites with hydrologic unit codes at varying scales. The National Hydrography Dataset was analyzed with Hydrography Event Management and ArcGIS Utility Network Analyst tools to delineate potential sediment-sample provenance along a stream network. These tools can be used to track potential upstream-sediment-contributing areas to a sample site. This methodology identifies geochemically anomalous sample sites, watersheds, and streams that could help focus mineral resource investigations in the field.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C5","usgsCitation":"Yager, D.B., Hofstra, A.H., and Granitto, M., 2012, Analyzing legacy U.S. Geological Survey geochemical databases using GIS: applications for a national mineral resource assessment: U.S. Geological Survey Techniques and Methods 11-C5, iv, 28 p., https://doi.org/10.3133/tm11C5.","productDescription":"iv, 28 p.","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":256977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c5.png"},{"id":256967,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11c05/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Egan Range","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ebeee4b0c8380cd48f89","contributors":{"authors":[{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":464088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038420,"text":"sim3191 - 2012 - Geologic map of the Fish Creek Reservoir 7.5' quadrangle, Blaine County, Idaho","interactions":[],"lastModifiedDate":"2012-05-26T01:01:37","indexId":"sim3191","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3191","title":"Geologic map of the Fish Creek Reservoir 7.5' quadrangle, Blaine County, Idaho","docAbstract":"The Fish Creek Reservoir quadrangle in south-central Idaho lies on the north-central margin of the Cenozoic Snake River Plain at the southern end of the Pioneer Mountains. Rocks exposed in the quadrangle range in age from Paleozoic through Cenozoic. Mesozoic rocks are absent. Though Triassic and Jurassic sedimentary rocks may have been deposited in this area, they have been removed by erosion following uplift and thrusting of the Late Cretaceous to early Tertiary Sevier orogeny. The Late Devonian to Early Mississippian Antler orogeny preceded the Sevier. Ordovician through Devonian rocks of western-derived shale and sandstone facies and eastern carbonate shelf facies are unconformably overlain respectively by Pennsylvanian-Permian Wood River and Mississippian Copper Basin Formations. These two sequences are exposed in structural windows juxtaposed by the Sevier-age Pioneer thrust fault. Interpretive cross-sections accompany the map. Volcanic rocks of the Eocene Challis Volcanic Group, Miocene Idavada Volcanics, and Pleistocene Snake River Group cover parts of the area that remains tectonically active.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3191","usgsCitation":"Skipp, B., and Brandt, T.R., 2012, Geologic map of the Fish Creek Reservoir 7.5' quadrangle, Blaine County, Idaho: U.S. Geological Survey Scientific Investigations Map 3191, Pamphlet: iii, 15p.; Map: 40.94 inches x 30.38 inches; Data Files, https://doi.org/10.3133/sim3191.","productDescription":"Pamphlet: iii, 15p.; Map: 40.94 inches x 30.38 inches; Data Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":256966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3191.png"},{"id":256961,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3191/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator","datum":"National Geodetic Vertical Datum of 1929","country":"United States","state":"Idaho","otherGeospatial":"Fish Creek Reservoir;Snake River Plain;Pioneer Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.86749999999999,43.3675 ], [ -113.86749999999999,43.5 ], [ -113.75,43.5 ], [ -113.75,43.3675 ], [ -113.86749999999999,43.3675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1bf6e4b0c8380cd56025","contributors":{"authors":[{"text":"Skipp, Betty","contributorId":51268,"corporation":false,"usgs":true,"family":"Skipp","given":"Betty","affiliations":[],"preferred":false,"id":464085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":464084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038426,"text":"fs20123066 - 2012 - Landsat Data Continuity Mission","interactions":[],"lastModifiedDate":"2012-05-26T01:01:37","indexId":"fs20123066","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3066","title":"Landsat Data Continuity Mission","docAbstract":"The Landsat Data Continuity Mission (LDCM) is a partnership formed between the National Aeronautics and Space Administration (NASA) and the U.S. Geological Survey (USGS) to place the next Landsat satellite in orbit in January 2013. The Landsat era that began in 1972 will become a nearly 41-year global land record with the successful launch and operation of the LDCM. The LDCM will continue the acquisition, archiving, and distribution of multispectral imagery affording global, synoptic, and repetitive coverage of the Earth's land surfaces at a scale where natural and human-induced changes can be detected, differentiated, characterized, and monitored over time.\r\nThe mission objectives of the LDCM are to (1) collect and archive medium resolution (30-meter spatial resolution) multispectral image data affording seasonal coverage of the global landmasses for a period of no less than 5 years; (2) ensure that LDCM data are sufficiently consistent with data from the earlier Landsat missions in terms of acquisition geometry, calibration, coverage characteristics, spectral characteristics, output product quality, and data availability to permit studies of landcover and land-use change over time; and (3) distribute LDCM data products to the general public on a nondiscriminatory basis at no cost to the user.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123066","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Landsat Data Continuity Mission: U.S. Geological Survey Fact Sheet 2012-3066, 4 p., https://doi.org/10.3133/fs20123066.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":256974,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3066.gif"},{"id":256968,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3066/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43cfe4b0c8380cd66631","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535185,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038144,"text":"70038144 - 2012 - Environmental conditions associated with bat white-nose syndrome in the north-eastern United States","interactions":[],"lastModifiedDate":"2012-10-30T16:17:44","indexId":"70038144","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions associated with bat white-nose syndrome in the north-eastern United States","docAbstract":"1. White-nose syndrome (WNS) is an emerging disease of hibernating North American bats that is caused by the cold-growing fungus Geomyces destructans. Since first observed in the winter of 2007, WNS has led to unprecedented mortality in several species of bats and may threaten more than 15 additional hibernating bat species if it continues across the continent. Although the exact means by which fungal infection causes mortality are undetermined, available evidence suggests a strong role of winter environmental conditions in disease mortality.\n2. By 2010, the fungus G. destructans was detected in new areas of North America far from the area it was first observed, as well as in eight European bat species in different countries, yet mortality was not observed in many of these new areas of North America or in any part of Europe. This could be because of the differences in the fungus, rates of disease progression and/or in life-history or physiological traits of the affected bat species between different regions. Infection of bats by G. destructans without associated mortality might also suggest that certain environmental conditions might have to co-occur with fungal infection to cause mortality. 3. We tested the environmental conditions hypothesis using Maxent to map and model landscape surface conditions associated with WNS mortality. This approach was unique in that we modelled possible requisite environmental conditions for disease mortality and not simply the presence of the causative agent. 4. The top predictors of WNS mortality were land use/land cover types, mean air temperature of wettest quarter, elevation, frequency of precipitation and annual temperature range. Model results suggest that WNS mortality is most likely to occur in landscapes that are higher in elevation and topographically heterogeneous, drier and colder during winter, and more seasonally variable than surrounding landscapes. 5. Synthesis and applications. This study mapped the most likely environmental surface conditions associated with bat mortality owing to WNS in the north-eastern United Sates; maps can be used for selection of priority monitoring sites. Our results provide a starting point from which to investigate and predict the potential spread and population impacts of this catastrophic emerging disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2664.2012.02129.x","usgsCitation":"Flory, A.R., Kumar, S., Stohlgren, T.J., and Cryan, P., 2012, Environmental conditions associated with bat white-nose syndrome in the north-eastern United States: Journal of Applied Ecology, v. 49, no. 3, p. 680-689, https://doi.org/10.1111/j.1365-2664.2012.02129.x.","productDescription":"10 p.","startPage":"680","endPage":"689","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474503,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2012.02129.x","text":"Publisher Index Page"},{"id":256973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256971,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2012.02129.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-04-20","publicationStatus":"PW","scienceBaseUri":"505a09a7e4b0c8380cd51fe3","contributors":{"authors":[{"text":"Flory, Abigail R.","contributorId":80151,"corporation":false,"usgs":true,"family":"Flory","given":"Abigail","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sunil","contributorId":84992,"corporation":false,"usgs":true,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":463513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":463511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cryan, Paul M. 0000-0002-2915-8894","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":99685,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":463514,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004851,"text":"70004851 - 2012 - White-nose syndrome in cave bats of North America","interactions":[],"lastModifiedDate":"2023-10-17T10:55:50.682534","indexId":"70004851","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"White-nose syndrome in cave bats of North America","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fowler's Zoo and Wild Animal Medicine Current Therapy, Volume 7","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisherLocation":"Reston, VA","usgsCitation":"Buckles, E., and Ballmann, A.E., 2012, White-nose syndrome in cave bats of North America, chap. of Fowler's Zoo and Wild Animal Medicine Current Therapy, Volume 7, p. 432-441.","productDescription":"10 p.","startPage":"432","endPage":"441","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020314","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":256975,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256972,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://store.elsevier.com/Fowlers-Zoo-and-Wild-Animal-Medicine-Current-Therapy-Volume-7/R_-Eric-Miller/isbn-9781437719864/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.23046875,\n 28.998531814051795\n ],\n [\n -88.9453125,\n 28.844673680771795\n ],\n [\n -88.76953125,\n 30.06909396443887\n ],\n [\n -84.638671875,\n 29.38217507514529\n ],\n [\n -80.85937499999999,\n 29.458731185355344\n ],\n [\n -80.595703125,\n 31.12819929911196\n ],\n [\n -75.849609375,\n 34.30714385628804\n ],\n [\n -75.146484375,\n 36.87962060502676\n ],\n [\n -73.212890625,\n 40.38002840251183\n ],\n [\n -69.345703125,\n 41.244772343082104\n ],\n [\n -69.9609375,\n 42.74701217318067\n ],\n [\n -66.533203125,\n 44.77793589631623\n ],\n [\n -66.4453125,\n 49.49667452747045\n ],\n [\n -66.533203125,\n 50.56928286558243\n ],\n [\n -67.67578124999999,\n 52.10650519075632\n ],\n [\n -69.873046875,\n 52.32191088594773\n ],\n [\n -74.091796875,\n 52.32191088594773\n ],\n [\n -78.75,\n 51.944264879028765\n ],\n [\n -82.96875,\n 51.781435604431195\n ],\n [\n -91.0546875,\n 51.508742458803326\n ],\n [\n -94.833984375,\n 50.90303283111257\n ],\n [\n -97.119140625,\n 49.38237278700955\n ],\n [\n -97.3828125,\n 44.96479793033104\n ],\n [\n -98.349609375,\n 42.09822241118974\n ],\n [\n -100.81054687499999,\n 38.685509760012\n ],\n [\n -102.74414062499999,\n 37.020098201368114\n ],\n [\n -103.095703125,\n 36.66841891894786\n ],\n [\n -102.919921875,\n 35.746512259918504\n ],\n [\n -100.634765625,\n 35.88905007936091\n ],\n [\n -100.283203125,\n 34.016241889667015\n ],\n [\n -95.888671875,\n 32.99023555965106\n ],\n [\n -94.658203125,\n 33.137551192346145\n ],\n [\n -91.58203125,\n 32.62087018318113\n ],\n [\n -92.548828125,\n 30.29701788337205\n ],\n [\n -91.23046875,\n 28.998531814051795\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd07ce4b08c986b32eea8","contributors":{"editors":[{"text":"Miller, R.E.","contributorId":86754,"corporation":false,"usgs":true,"family":"Miller","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":508263,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fowler, M.E.","contributorId":114057,"corporation":false,"usgs":true,"family":"Fowler","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":508264,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Buckles, E.L.","contributorId":18583,"corporation":false,"usgs":true,"family":"Buckles","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":351479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballmann, Anne E. 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":1153,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":351478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156625,"text":"70156625 - 2012 - Comparison of acoustic doppler current profiler and Price AA mechanical current meter measurements made during the 2011 Mississippi River Flood","interactions":[],"lastModifiedDate":"2021-10-27T16:18:16.970488","indexId":"70156625","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparison of acoustic doppler current profiler and Price AA mechanical current meter measurements made during the 2011 Mississippi River Flood","docAbstract":"

The Mississippi River and Tributaries project performed as designed during the historic 2011 Mississippi River flood, with many of the operational decisions based on discharge targets as opposed to stage. Measurement of discharge at the Tarbert Landing, Mississippi range provides critical information used in operational decisions for the floodways located in Louisiana. Historically, discharge measurements have been made using a Price AA current meter and the mid-section method, and a long record exists based on these types of measurements, including historical peak discharges. Discharge measurements made using an acoustic Doppler current profiler from a moving boat have been incorporated into the record since the mid 1990's, and are used along with the Price AA mid-section measurements. During the 2011 flood event, both methods were used and appeared to provide different results at times. The apparent differences between the measurement techniques are due to complex hydrodynamics at this location that created large spatial and temporal fluctuations in the flow. The data and analysis presented herein show the difference between the two methods to be within the expected accuracy of the measurements when the measurements are made concurrently. The observed fluctuations prevent valid comparisons of data collected sequentially or even with different observation durations.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2012: Crossing boundaries","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2012: Crossing Boundaries","conferenceDate":"May 20-24 2012","conferenceLocation":"Albuquerque, New Mexico","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412312.127","usgsCitation":"O’Brien, P., Mueller, D., and Pratt, T., 2012, Comparison of acoustic doppler current profiler and Price AA mechanical current meter measurements made during the 2011 Mississippi River Flood, in World environmental and water resources congress 2012: Crossing boundaries, Albuquerque, New Mexico, May 20-24 2012, p. 1260-1269, https://doi.org/10.1061/9780784412312.127.","productDescription":"9 p.","startPage":"1260","endPage":"1269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035088","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":307404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.9013671875,\n 29.649868677972304\n ],\n [\n -90.7470703125,\n 31.240985378021307\n ],\n [\n -90.8349609375,\n 33.137551192346145\n ],\n [\n -91.5380859375,\n 33.063924198120645\n ],\n [\n -92.197265625,\n 31.052933985705163\n ],\n [\n -91.5380859375,\n 29.878755346037977\n ],\n [\n -90.3515625,\n 28.8831596093235\n ],\n [\n -89.5166015625,\n 28.613459424004414\n ],\n [\n -88.9013671875,\n 29.649868677972304\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2012-07-11","publicationStatus":"PW","scienceBaseUri":"57f7f4fbe4b0bc0bec0a1331","contributors":{"authors":[{"text":"O’Brien, Patrick","contributorId":146976,"corporation":false,"usgs":false,"family":"O’Brien","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":569708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, David","contributorId":146977,"corporation":false,"usgs":false,"family":"Mueller","given":"David","affiliations":[],"preferred":false,"id":569709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thad","contributorId":146978,"corporation":false,"usgs":false,"family":"Pratt","given":"Thad","email":"","affiliations":[],"preferred":false,"id":569710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156907,"text":"70156907 - 2012 - Warming experiments underpredict plant phenological responses to climate change","interactions":[],"lastModifiedDate":"2021-10-26T16:55:14.565652","indexId":"70156907","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Warming experiments underpredict plant phenological responses to climate change","docAbstract":"

Warming experiments are increasingly relied on to estimate plant responses to global climate change. For experiments to provide meaningful predictions of future responses, they should reflect the empirical record of responses to temperature variability and recent warming, including advances in the timing of flowering and leafing. We compared phenology (the timing of recurring life history events) in observational studies and warming experiments spanning four continents and 1,634 plant species using a common measure of temperature sensitivity (change in days per degree Celsius). We show that warming experiments underpredict advances in the timing of flowering and leafing by 8.5-fold and 4.0-fold, respectively, compared with long-term observations. For species that were common to both study types, the experimental results did not match the observational data in sign or magnitude. The observational data also showed that species that flower earliest in the spring have the highest temperature sensitivities, but this trend was not reflected in the experimental data. These significant mismatches seem to be unrelated to the study length or to the degree of manipulated warming in experiments. The discrepancy between experiments and observations, however, could arise from complex interactions among multiple drivers in the observational data, or it could arise from remediable artefacts in the experiments that result in lower irradiance and drier soils, thus dampening the phenological responses to manipulated warming. Our results introduce uncertainty into ecosystem models that are informed solely by experiments and suggest that responses to climate change that are predicted using such models should be re-evaluated.

","language":"English","publisher":"Nature","doi":"10.1038/nature11014","usgsCitation":"Wolkovich, E., Cook, B., Allen, J.M., Crimmins, T., Betancourt, J.L., Travers, S.E., Pau, S., Regetz, J., Davies, T., Kraft, N., Ault, T., Bolmgren, K., Mazer, S., McCabe, G., McGill, B.J., Parmesan, C., Salamin, N., Schwartz, M., and Cleland, E., 2012, Warming experiments underpredict plant phenological responses to climate change: Nature, p. 494-497, https://doi.org/10.1038/nature11014.","productDescription":"4 p.","startPage":"494","endPage":"497","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031445","costCenters":[{"id":144,"text":"Branch of Regional Research","active":false,"usgs":true}],"links":[{"id":307798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-05-02","publicationStatus":"PW","scienceBaseUri":"560bb71de4b058f706e53f8c","contributors":{"authors":[{"text":"Wolkovich, Elizabeth M.","contributorId":69288,"corporation":false,"usgs":true,"family":"Wolkovich","given":"Elizabeth M.","affiliations":[],"preferred":false,"id":571089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Benjamin I.","contributorId":81237,"corporation":false,"usgs":true,"family":"Cook","given":"Benjamin I.","affiliations":[],"preferred":false,"id":571090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Jenica M.","contributorId":146420,"corporation":false,"usgs":false,"family":"Allen","given":"Jenica","email":"","middleInitial":"M.","affiliations":[{"id":13006,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":571091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":571092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":571093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Travers, Steven E.","contributorId":146419,"corporation":false,"usgs":false,"family":"Travers","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":16604,"text":"Department of Biological Sciences, North Dakota State University, Fargo, ND","active":true,"usgs":false}],"preferred":false,"id":571094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pau, Stephanie","contributorId":86094,"corporation":false,"usgs":true,"family":"Pau","given":"Stephanie","affiliations":[],"preferred":false,"id":571095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Regetz, James","contributorId":20596,"corporation":false,"usgs":true,"family":"Regetz","given":"James","email":"","affiliations":[],"preferred":false,"id":571096,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Davies, T. Jonathan","contributorId":84062,"corporation":false,"usgs":true,"family":"Davies","given":"T. Jonathan","affiliations":[],"preferred":false,"id":571097,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kraft, Nathan J. B.","contributorId":86471,"corporation":false,"usgs":true,"family":"Kraft","given":"Nathan J. B.","affiliations":[],"preferred":false,"id":571098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ault, Toby R.","contributorId":48852,"corporation":false,"usgs":true,"family":"Ault","given":"Toby R.","affiliations":[],"preferred":false,"id":571099,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bolmgren, Kjell","contributorId":80001,"corporation":false,"usgs":true,"family":"Bolmgren","given":"Kjell","affiliations":[],"preferred":false,"id":571100,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mazer, Susan J.","contributorId":96564,"corporation":false,"usgs":true,"family":"Mazer","given":"Susan J.","affiliations":[],"preferred":false,"id":571101,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":571102,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McGill, Brian J.","contributorId":146422,"corporation":false,"usgs":false,"family":"McGill","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":571103,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Parmesan, Camille","contributorId":146423,"corporation":false,"usgs":false,"family":"Parmesan","given":"Camille","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":571104,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Salamin, Nicolas","contributorId":146424,"corporation":false,"usgs":false,"family":"Salamin","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":571105,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":571106,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Cleland, Elsa E.","contributorId":92790,"corporation":false,"usgs":true,"family":"Cleland","given":"Elsa E.","affiliations":[],"preferred":false,"id":571107,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70038419,"text":"sir20125036 - 2012 - Altitude, age, and quality of groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992 to 2009","interactions":[],"lastModifiedDate":"2012-05-25T01:01:50","indexId":"sir20125036","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","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":"2012-5036","title":"Altitude, age, and quality of groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992 to 2009","docAbstract":"The U.S. Geological Survey, in cooperation with the Papio-Missouri River Natural Resources District (PMRNRD), conducted this study to map the water-level altitude of 2009 within the Elkhorn River Valley, Missouri River Valley, and Platte River Valley alluvial aquifers; to present the predevelopment potentiometric-surface altitude within the Dakota aquifer; and to describe the age and quality of groundwater in the five principal aquifers of the PMRNRD in eastern Nebraska using data collected from 1992 to 2009. In addition, implications of alternatives to the current PMRNRD groundwater-quality monitoring approach are discussed. In the PMRNRD, groundwater altitude, relative to National Geodetic Vertical Datum of 1929, ranged from about 1,080 feet (ft) to 1,180 ft in the Elkhorn River Valley alluvial aquifer and from about 960 ft to 1,080 ft in the Missouri River Valley and Platte River Valley alluvial aquifers. In the PMRNRD, the estimated altitude of the potentiometric surface of the Dakota aquifer, predevelopment, ranged from about 1,100 ft to 1,200 ft. To assess groundwater age and quality, groundwater samples were collected from a total of 217 wells from 1992 to 2009 for analysis of various analytes. Groundwater samples collected in the PMRNRD from 1992 to 2009 and interpreted in this report were analyzed for age-dating analytes (chlorofluorocarbons), dissolved gases, major ions, trace elements, nutrients, stable isotope ratios, pesticides and pesticide degradates, volatile organic compounds, explosives, and 222radon. Apparent groundwater age was estimated from concentrations of chlorofluorocarbons measured in samples collected in 2000. Apparent groundwater-recharge dates ranged from older than 1940 in samples from wells screened in the Missouri River Valley alluvial aquifer to the early 1980s in samples from wells screened in the Dakota aquifer. Concentrations of major ions in the most recent sample per well collected from 1992 to 2009 indicate that the predominant water type was calcium bicarbonate. Samples from 4 wells exceeded the U.S. Environmental Protection Agency (USEPA) Secondary Drinking Water Regulation (SDWR) for sulfate [250 milligrams per liter (mg/L)], and samples from 4 wells exceeded the USEPA Drinking Water Advisory Table for sodium (30-60 mg/L). Eighteen of the 21 trace elements analyzed in samples from PMRNRD wells have USEPA drinking-water standards. Sixteen of the trace elements with USEPA standards were detected in the selected samples. In the samples selected for trace-element analysis, the only trace-element concentration that exceeded an enforceable USEPA drinking-water standard, the Maximum Contaminant Level (MCL), was for arsenic; arsenic concentration exceeded the USEPA MCL of 10 micrograms per liter (μg/L) in 4 percent of the samples. Trace-element concentrations that exceeded the USEPA SDWR or Lifetime Health Advisory level were iron (46 percent of the samples were greater than USEPA SDWR of 300 μg/L), manganese (70 percent of the samples were greater than USEPA SDWR of 50 μg/L), and strontium (4 percent of the samples were greater than USEPA Lifetime Health Advisory level of 4,000 μ/L). The concentration of nitrate plus nitrite as nitrogen (nitrate-N) in the most recent nutrient samples collected from the network wells and from one randomly selected well in the well nests from 1992 to 2009 for most wells (80 percent) ranged from less than 0.06 to 8.55 mg/L, with a median value of 0.12 mg/L. Concentrations of nitrate-N in 13 (7 percent) nutrient samples, 1992 to 2009, were greater than or equal to the USEPA MCL and Nebraska Title-118 standard of 10 mg/L, and concentrations of nitrate-N in 35 (18 percent) nutrient samples, 1992 to 2009, were greater than or equal to 5 mg/L, which is the PMRNRD action level for possible management implementation to reduce nitrate concentrations in groundwater. Of the 61 pesticides or pesticide degradates analyzed from 2007 to 2009, 21 were detected. Three of the 21 pesticides detected (alachlor, atrazine, and metolachlor) have established health-based criteria; all detections of these compounds were at concentrations less than their USEPA standards. From 2007 to 2009, 1 or more pesticide compounds were detected in 16 of the 82 network wells and in 18 of the 26 wells in well nests. From 2007 to 2009, the individual pesticide compounds that were detected most frequently were alachlor ethane sulfonic acid, a degradate of alachlor; deethylcyanazine acid, a degradate of cyanazine; and atrazine. Analytes with concentrations that exceeded 30 percent of the applicable Nebraska Title-118 standard were identified so that the PMRNRD can plan to monitor groundwater in the area and consider possible actions should the analyte concentrations continue to rise. The analytical results from the most recent samples collected in the network wells and all the wells in well nests from 1992 to 2009 indicate that, in at least 1 sample, there was a concentration that exceeded 30 percent of the Nebraska Title-118 standard for at least 1 of 3 major ions (chloride, fluoride, and sulfate), 1 nutrient (nitrate-N), 1 pesticide (atrazine), or 3 trace elements (arsenic, iron, and manganese). In addition, 30 percent of the USEPA MCL or Nebraska Title-118 standard for gross alpha activity likely was exceeded in samples from three wells screened in the Dakota aquifer. Study findings indicate that some alternatives to the current PMRNRD groundwater-sampling approach that could be considered are to collect fewer samples for nutrient analysis and to collect samples periodically for determining concentrations of additional analytes, particularly the analytes with concentrations that were at least 30 percent or more than the Nebraska Title-118 standard.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125036","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resources District","usgsCitation":"McGuire, V.L., Ryter, D.W., and Flynn, A.S., 2012, Altitude, age, and quality of groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992 to 2009: U.S. Geological Survey Scientific Investigations Report 2012-5036, ix, 66 p.; Appendices; Appendices Download Directory, https://doi.org/10.3133/sir20125036.","productDescription":"ix, 66 p.; Appendices; Appendices Download Directory","onlineOnly":"Y","temporalStart":"1992-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":256960,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5036.gif"},{"id":256958,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5036/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","county":"Burt;Dakota;Douglas;Sarpy;Thurston;Washington","city":"Bellevue;Blair;Dakota City;Elkhorn;Gretna;Omaha;Papillion;Ralston;South Sioux City;Tekamah","otherGeospatial":"Papio-missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.75,41 ], [ -96.75,42.583333333333336 ], [ -95.75,42.583333333333336 ], [ -95.75,41 ], [ -96.75,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e998e4b0c8380cd4837a","contributors":{"authors":[{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryter, Derek W. 0000-0002-2488-626X dryter@usgs.gov","orcid":"https://orcid.org/0000-0002-2488-626X","contributorId":3395,"corporation":false,"usgs":true,"family":"Ryter","given":"Derek","email":"dryter@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Amanda S.","contributorId":107135,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159147,"text":"70159147 - 2012 - Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks","interactions":[],"lastModifiedDate":"2021-10-27T16:14:13.779152","indexId":"70159147","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks","docAbstract":"

This paper summarizes methodological advances in regional log-space skewness analyses that support flood-frequency analysis with the log Pearson Type III (LP3) distribution. A Bayesian Weighted Least Squares/Generalized Least Squares (B-WLS/B-GLS) methodology that relates observed skewness coefficient estimators to basin characteristics in conjunction with diagnostic statistics represents an extension of the previously developed B-GLS methodology. B-WLS/B-GLS has been shown to be effective in two California studies. B-WLS/B-GLS uses B-WLS to generate stable estimators of model parameters and B-GLS to estimate the precision of those B-WLS regression parameters, as well as the precision of the model. The study described here employs this methodology to develop a regional skewness model for the State of Iowa. To provide cost effective peak-flow data for smaller drainage basins in Iowa, the U.S. Geological Survey operates a large network of crest stage gages (CSGs) that only record flow values above an identified recording threshold (thus producing a censored data record). CSGs are different from continuous-record gages, which record almost all flow values and have been used in previous B-GLS and B-WLS/B-GLS regional skewness studies. The complexity of analyzing a large CSG network is addressed by using the B-WLS/B-GLS framework along with the Expected Moments Algorithm (EMA). Because EMA allows for the censoring of low outliers, as well as the use of estimated interval discharges for missing, censored, and historic data, it complicates the calculations of effective record length (and effective concurrent record length) used to describe the precision of sample estimators because the peak discharges are no longer solely represented by single values. Thus new record length calculations were developed. The regional skewness analysis for the State of Iowa illustrates the value of the new B-WLS/BGLS methodology with these new extensions.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2012: Crossing boundaries","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2012: Crossing Boundaries","conferenceDate":"May 20-24 2012","conferenceLocation":"Albuquerque, New Mexico","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412312.227","usgsCitation":"Veilleux, A.G., Stedinger, J.R., and Eash, D.A., 2012, Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks, in World environmental and water resources congress 2012: Crossing boundaries, Albuquerque, New Mexico, May 20-24 2012, p. 2253-2263, https://doi.org/10.1061/9780784412312.227.","productDescription":"11 p.","startPage":"2253","endPage":"2263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034624","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":309969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-07-11","publicationStatus":"PW","scienceBaseUri":"5620ce4fe4b06217fc478ac3","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":577702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, Jery R.","contributorId":76198,"corporation":false,"usgs":true,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":577703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038416,"text":"fs20123059 - 2012 - Assessment of undiscovered oil and gas resources of the Assam, Bombay, Cauvery, and Krishna-Godavari Provinces, South Asia, 2011","interactions":[],"lastModifiedDate":"2012-05-23T01:01:52","indexId":"fs20123059","displayToPublicDate":"2012-05-22T14:28:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3059","title":"Assessment of undiscovered oil and gas resources of the Assam, Bombay, Cauvery, and Krishna-Godavari Provinces, South Asia, 2011","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated volumes of undiscovered, technically recoverable, conventional petroleum resources for the Assam, Bombay, Cauvery, and Krishna–Godavari Provinces, South Asia. The estimated mean volumes are as follows: (1) Assam Province, 273 million barrels of crude oil, 1,559 billion cubic feet of natural gas, and 43 million barrels of natural gas liquids; (2) Bombay Province, 1,854 million barrels of crude oil, 15,417 billion cubic feet of natural gas, and 498 million barrels of natural gas liquids; (3) Cauvery Province, 941 million barrels of crude oil, 25,208 billion cubic feet of natural gas, and 654 million barrels of natural gas liquids; and (4) Krishna–Godavari Province, 466 million barrels of crude oil, 37,168 billion cubic feet of natural gas, and 484 million barrels of natural gas liquids. The totals for the four provinces are 3,534 million barrels of crude oil, 79,352 billion cubic feet of natural gas, and 1,679 million barrels of natural gas liquids.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123059","collaboration":"World Petroleum Resources Project","usgsCitation":"Klett, T., Schenk, C.J., Wandrey, C.J., Charpentier, R., Cook, T.A., Brownfield, M.E., Pitman, J.K., and Pollastro, R.M., 2012, Assessment of undiscovered oil and gas resources of the Assam, Bombay, Cauvery, and Krishna-Godavari Provinces, South Asia, 2011: U.S. Geological Survey Fact Sheet 2012-3059, 4 p., https://doi.org/10.3133/fs20123059.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":256955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3059.png"},{"id":256950,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3059/","linkFileType":{"id":5,"text":"html"}}],"country":"India;Sri Lanka","otherGeospatial":"Assam Province;Bombay Province;Cauvery Province;Krishna-godavari Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 56,4 ], [ 56,38 ], [ 100.06666666666666,38 ], [ 100.06666666666666,4 ], [ 56,4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee78e4b0c8380cd49d8d","contributors":{"authors":[{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":464074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":464068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wandrey, Craig J. cwandrey@usgs.gov","contributorId":1590,"corporation":false,"usgs":true,"family":"Wandrey","given":"Craig","email":"cwandrey@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":464069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70038412,"text":"ofr20121077 - 2012 - Automated delineation and characterization of watersheds for more than 3,000 surface-water-quality monitoring stations active in 2010 in Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:05:14","indexId":"ofr20121077","displayToPublicDate":"2012-05-22T13:33:00","publicationYear":"2012","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":"2012-1077","title":"Automated delineation and characterization of watersheds for more than 3,000 surface-water-quality monitoring stations active in 2010 in Texas","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the Texas Commission on Environmental Quality, developed computer scripts and applications to automate the delineation of watershed boundaries and compute watershed characteristics for more than 3,000 surface-water-quality monitoring stations in Texas that were active during 2010. Microsoft Visual Basic applications were developed using ArcGIS ArcObjects to format the source input data required to delineate watershed boundaries. Several automated scripts and tools were developed or used to calculate watershed characteristics using Python, Microsoft Visual Basic, and the RivEX tool. Automated methods were augmented by the use of manual methods, including those done using ArcMap software. Watershed boundaries delineated for the monitoring stations are limited to the extent of the Subbasin boundaries in the USGS Watershed Boundary Dataset, which may not include the total watershed boundary from the monitoring station to the headwaters.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121077","collaboration":"Prepared in cooperation with the Texas Commission on Environmental Quality","usgsCitation":"Archuleta, C., Gonzales, S.L., and Maltby, D.R., 2012, Automated delineation and characterization of watersheds for more than 3,000 surface-water-quality monitoring stations active in 2010 in Texas: U.S. Geological Survey Open-File Report 2012-1077, v, 33 p., https://doi.org/10.3133/ofr20121077.","productDescription":"v, 33 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":256951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1077.gif"},{"id":256946,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1077/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,26 ], [ -109,42 ], [ -88,42 ], [ -88,26 ], [ -109,26 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eef3e4b0c8380cd4a066","contributors":{"authors":[{"text":"Archuleta, Christy-Ann M. 0000-0002-4522-8573","orcid":"https://orcid.org/0000-0002-4522-8573","contributorId":9736,"corporation":false,"usgs":true,"family":"Archuleta","given":"Christy-Ann M.","affiliations":[],"preferred":false,"id":464064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzales, Sophia L.","contributorId":93310,"corporation":false,"usgs":true,"family":"Gonzales","given":"Sophia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maltby, David R. II","contributorId":65196,"corporation":false,"usgs":true,"family":"Maltby","given":"David","suffix":"II","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003805,"text":"70003805 - 2012 - A study of the spawning ecology and early life history survival of Bonneville Cutthroat Trout","interactions":[],"lastModifiedDate":"2021-04-26T15:18:10.279933","indexId":"70003805","displayToPublicDate":"2012-05-22T01:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A study of the spawning ecology and early life history survival of Bonneville Cutthroat Trout","docAbstract":"
We completed a large‐scale field experiment in four tributaries of the Logan River, Utah, where the largest metapopulation of imperiled Bonneville cutthroat trout Oncorhynchus clarkii utah persists. We documented the spatial and temporal distributions of spawners, quantified substrate use versus substrate availability, and evaluated differences in hatch and emergence fry success between and among sites in relation to habitat characteristics. We observed considerable variability in the timing, magnitude, and duration of spawning among study areas (streams), in part as a function of a variable, multipeaked hydrograph. Nevertheless, across study areas, >70% of redds were constructed on the final descending limb of the hydrograph. Despite large differences in the amount of spawning substrate available, Bonneville cutthroat trout utilized a narrow range of substrate and sizes (3–80 mm) similar to that utilized by other subspecies of cutthroat trout, albeit biased towards larger sizes. Water temperatures generally remained below the recommended range (6–17°C) for spawning; however, the viability of this metapopulation of cutthroat trout suggests that the recommended temperature range for spawning is overestimated for this subspecies and (or) does not account for local thermal adaptation. Hatch varied from 43% to 77% and emergence survival from 39% to 65% among streams, and within‐stream variability was substantial; both survival rates declined significantly as a function of increased fine sediment concentrations. Egg development rates were nearly 50% greater in a high‐elevation tributary where redd counts were also lowest. In high, mountain systems with short growing seasons, this incubation delay likely presents a significant growth disadvantage for age‐0 trout. Our research enhances our understanding of Bonneville cutthroat trout spawning ecology and early survival and provides critical information for aiding in the development of benchmarks for their recovery. Effective conservation efforts should be directed towards minimizing anthropogenic activities that result in excess sedimentation in their critical spawning tributaries.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.675945","usgsCitation":"Budy, P., Wood, S., and Roper, B.B., 2012, A study of the spawning ecology and early life history survival of Bonneville Cutthroat Trout: North American Journal of Fisheries Management, v. 32, no. 3, p. 436-449, https://doi.org/10.1080/02755947.2012.675945.","productDescription":"14 p.","startPage":"436","endPage":"449","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":385304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Logan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.95205688476562,\n 41.585661192598415\n ],\n [\n -111.95205688476562,\n 41.99624282178583\n ],\n [\n -111.30935668945312,\n 41.99624282178583\n ],\n [\n -111.30935668945312,\n 41.585661192598415\n ],\n [\n -111.95205688476562,\n 41.585661192598415\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-22","publicationStatus":"PW","scienceBaseUri":"55d4572ce4b0518e354694a2","contributors":{"authors":[{"text":"Budy, Phaedra","contributorId":24215,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","affiliations":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":512714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Sara","contributorId":257602,"corporation":false,"usgs":false,"family":"Wood","given":"Sara","email":"","affiliations":[],"preferred":false,"id":814704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roper, Brett B.","contributorId":120701,"corporation":false,"usgs":false,"family":"Roper","given":"Brett","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":512717,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154811,"text":"70154811 - 2012 - American Oystercatcher (Haematopus palliatus)","interactions":[],"lastModifiedDate":"2015-11-16T15:31:28","indexId":"70154811","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"American Oystercatcher (Haematopus palliatus)","docAbstract":"

The American Oystercatcher is a large, conspicuous shorebird, common in coastal salt marshes and along sand beaches throughout the central part of its range. One of the few birds to specialize on bivalve mollusks living in saltwater, this species is completely restricted to marine habitats. Two races breed in North America—the eastern nominate race along the Atlantic coast from southern Maine south, and a second race along the Pacific coast from northwestern Baja California south. While the eastern race has been studied extensively across its range both during winter and the breeding season, the biology of the western race is poorly known and this population may also be at risk both from coastal development and hybridization with the American Black Oystercatcher (H. bachmani). Eastern oystercatchers regularly winter in large flocks, from Virginia south along the Atlantic and Gulf coasts.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Birds of North America","language":"English","publisher":"Cornell Lab of Ornithology and American Ornithologists' Union","usgsCitation":"Simons, T.R., Nol, E., and Boettcher, R., 2012, American Oystercatcher (Haematopus palliatus), no. 82, HTML.","productDescription":"HTML","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038406","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":311394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311392,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://bna.birds.cornell.edu/bna/species/082/articles/introduction"}],"otherGeospatial":"East Coast United States, Gulf of Mexico and East Coast of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.4443359375,\n 42.16340342422401\n ],\n [\n -69.78515625,\n 42.16340342422401\n ],\n [\n -69.5654296875,\n 41.393294288784865\n ],\n [\n -71.806640625,\n 40.76390128094589\n ],\n [\n -73.8720703125,\n 40.027614437486655\n ],\n [\n -74.4873046875,\n 38.5825261593533\n ],\n [\n -75.234375,\n 37.474858084971046\n ],\n [\n -75.322265625,\n 35.567980458012094\n ],\n [\n -76.6845703125,\n 34.397844946449865\n ],\n [\n -80.068359375,\n 32.08257455954592\n ],\n [\n -80.70556640625,\n 30.93992433102347\n ],\n [\n -80.2880859375,\n 29.36302703778376\n ],\n [\n -79.6728515625,\n 26.56887654795065\n ],\n [\n -80.52978515625,\n 26.391869671769022\n ],\n [\n -81.58447265624999,\n 30.107117887092382\n ],\n [\n -82.001953125,\n 31.409912194070973\n ],\n [\n -81.8701171875,\n 32.657875736955305\n ],\n [\n -79.73876953125,\n 33.97980872872457\n ],\n [\n -77.10205078124999,\n 35.782170703266075\n ],\n [\n -77.05810546875,\n 38.496593518947556\n ],\n [\n -76.83837890625,\n 39.487084981687495\n ],\n [\n -76.4208984375,\n 39.825413103424786\n ],\n [\n -75.34423828125,\n 39.90973623453719\n ],\n [\n -74.28955078125,\n 40.26276066437183\n ],\n [\n -74.2236328125,\n 41.0130657870063\n ],\n [\n -73.6962890625,\n 41.36031866306708\n ],\n [\n -72.22412109375,\n 41.705728515237524\n ],\n [\n -71.08154296875,\n 41.902277040963696\n ],\n [\n -70.6201171875,\n 42.08191667830631\n ],\n [\n -70.4443359375,\n 42.16340342422401\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.4853515625,\n 26.23430203240673\n ],\n [\n -83.671875,\n 29.22889003019423\n ],\n [\n -85.341796875,\n 29.305561325527698\n ],\n [\n -85.869140625,\n 29.6880527498568\n ],\n [\n -85.69335937499999,\n 30.41078179084589\n ],\n [\n -84.8583984375,\n 30.486550842588485\n ],\n [\n -83.27636718749999,\n 30.41078179084589\n ],\n [\n -82.0458984375,\n 29.458731185355344\n ],\n [\n -81.6064453125,\n 26.47057302237511\n ],\n [\n -82.4853515625,\n 26.23430203240673\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.8681640625,\n 28.998531814051795\n ],\n [\n -90.5712890625,\n 29.878755346037977\n ],\n [\n -90.615234375,\n 30.372875188118016\n ],\n [\n -88.8134765625,\n 30.751277776257812\n ],\n [\n -87.3193359375,\n 30.56226095049944\n ],\n [\n -87.71484375,\n 30.107117887092382\n ],\n [\n -88.6376953125,\n 29.954934549656144\n ],\n [\n -89.033203125,\n 28.8831596093235\n ],\n [\n -89.8681640625,\n 28.998531814051795\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.361328125,\n 29.38217507514529\n ],\n [\n -97.6904296875,\n 27.566721430409707\n ],\n [\n -98.26171875,\n 24.966140159912975\n ],\n [\n -98.349609375,\n 21.28937435586041\n ],\n [\n -97.294921875,\n 18.771115062337024\n ],\n [\n -95.00976562499999,\n 17.602139123350852\n ],\n [\n -92.724609375,\n 17.727758609852284\n ],\n [\n -89.384765625,\n 19.47695020648843\n ],\n [\n -87.71484375,\n 20.550508894195637\n ],\n [\n -86.396484375,\n 21.043491216803556\n ],\n [\n -86.5283203125,\n 21.779905342529645\n ],\n [\n -87.978515625,\n 21.90227796666864\n ],\n [\n -90.04394531249999,\n 21.779905342529645\n ],\n [\n -92.3291015625,\n 20.96143961409685\n ],\n [\n -92.8564453125,\n 19.47695020648843\n ],\n [\n -94.7021484375,\n 19.72534224805787\n ],\n [\n -96.416015625,\n 21.69826549685252\n ],\n [\n -96.416015625,\n 25.24469595130604\n ],\n [\n -94.921875,\n 29.075375179558346\n ],\n [\n -95.361328125,\n 29.38217507514529\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.22265625,\n 6.839169626342808\n ],\n [\n -82.177734375,\n 7.013667927566642\n ],\n [\n -87.3193359375,\n 10.660607953624762\n ],\n [\n -90,\n 12.683214911818654\n ],\n [\n -95.7568359375,\n 14.902321826141808\n ],\n [\n -104.765625,\n 18.062312304546726\n ],\n [\n -106.61132812499999,\n 20.879342971957897\n ],\n [\n -112.8076171875,\n 24.246964554300924\n ],\n [\n -116.76269531249999,\n 30.90222470517144\n ],\n [\n -115.09277343749999,\n 31.57853542647338\n ],\n [\n -109.16015624999999,\n 23.88583769986199\n ],\n [\n -113.818359375,\n 30.86451022625836\n ],\n [\n -112.587890625,\n 30.78903675126116\n ],\n [\n -107.9296875,\n 26.23430203240673\n ],\n [\n -103.84277343749999,\n 21.861498734372567\n ],\n [\n -97.646484375,\n 17.09879223767869\n ],\n [\n -94.130859375,\n 16.804541076383455\n ],\n [\n -89.82421875,\n 14.519780046326085\n ],\n [\n -86.1328125,\n 12.940322128384627\n ],\n [\n -83.8037109375,\n 9.318990192397917\n ],\n [\n -81.34277343749999,\n 8.624472107633936\n ],\n [\n -79.4970703125,\n 9.188870084473406\n ],\n [\n -78.0029296875,\n 8.971897294083014\n ],\n [\n -77.7392578125,\n 8.102738577783168\n ],\n [\n -78.22265625,\n 6.839169626342808\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"82","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564b0c3fe4b0ebfbef0d312c","contributors":{"authors":[{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nol, E.","contributorId":45791,"corporation":false,"usgs":true,"family":"Nol","given":"E.","email":"","affiliations":[],"preferred":false,"id":578805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boettcher, R.","contributorId":68478,"corporation":false,"usgs":true,"family":"Boettcher","given":"R.","email":"","affiliations":[],"preferred":false,"id":578806,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038407,"text":"ds667 - 2012 - Dissolved pesticides, dissolved organic carbon, and water-quality characteristics in selected Idaho streams, April--December 2010","interactions":[],"lastModifiedDate":"2012-05-23T01:01:52","indexId":"ds667","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2012","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":"667","title":"Dissolved pesticides, dissolved organic carbon, and water-quality characteristics in selected Idaho streams, April--December 2010","docAbstract":"Water-quality samples were collected from April through December 2010 from four streams in Idaho and analyzed for a suite of pesticides, including fungicides, by the U.S. Geological Survey. Water samples were collected from two agricultural and two nonagricultural (control) streams approximately biweekly from the beginning of the growing season (April) through the end of the calendar year (December). Samples were analyzed for 90 pesticides using gas chromatography/mass spectrometry. Twenty-three pesticides, including 8 fungicides, 10 herbicides, 3 insecticides, and 2 pesticide degradates, were detected in 45 water samples. The most frequently detected compounds in the two agricultural streams and their detection frequencies were metolachlor, 96 percent; azoxystrobin, 79 percent; boscalid, 79 percent; atrazine, 46 percent; pendimethalin, 33 percent; and trifluralin, 33 percent. Dissolved-pesticide concentrations ranged from below instrumental limits of detection (0.5-1.0 nanograms per liter) to 771 nanograms per liter (hexazinone). The total number of pesticides detected in any given water sample ranged from 0 to 11. Only three pesticides (atrazine, fipronil, and simazine) were detected in samples from the control streams during the sampling period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds667","collaboration":"Toxic Substances Hydrology Program","usgsCitation":"Reilly, T.J., Smalling, K., Wilson, E.R., and Battaglin, W.A., 2012, Dissolved pesticides, dissolved organic carbon, and water-quality characteristics in selected Idaho streams, April--December 2010: U.S. Geological Survey Data Series 667, vii, 17 p., https://doi.org/10.3133/ds667.","productDescription":"vii, 17 p.","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":256940,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_667.jpg"},{"id":256935,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/667/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","county":"Canyon;Ada","city":"Parma;Boise","otherGeospatial":"Sand Run Gulch;Cottonwood Creek;Dry Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,43 ], [ -117,44 ], [ -116,44 ], [ -116,43 ], [ -117,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a023fe4b0c8380cd4ff78","contributors":{"authors":[{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":464046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":464047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Emma R.","contributorId":58499,"corporation":false,"usgs":true,"family":"Wilson","given":"Emma","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038390,"text":"sim3145 - 2012 - Geologic map of Mount Gareloi, Gareloi Island, Alaska","interactions":[],"lastModifiedDate":"2019-05-30T10:22:35","indexId":"sim3145","displayToPublicDate":"2012-05-21T10:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3145","title":"Geologic map of Mount Gareloi, Gareloi Island, Alaska","docAbstract":"

Gareloi Island (lat 51.7° N., long 178.8° W.) is located in the Delarof Islands group of the Aleutian Islands, approximately 2,000 km west-southwest of Anchorage and 150 km west of Adak, the westernmost town in Alaska. This small (~8- x 10-km diam), uninhabited island is constructed exclusively of eruptive products from Mount Gareloi volcano, a Pleistocene and Holocene, steep-sided, composite stratocone that rises 1,573 m (5,161 ft) above sea level (asl). Mount Gareloi has been one of the most active Aleutian volcanoes since its discovery by the Bering expedition in the 1740s, though, because of its remote location, detailed observations of eruptive activity have been scant.

\n

As part of an effort to both monitor and study all historically active volcanoes in Alaska, the Alaska Volcano Observatory (AVO) undertook a field program at Mount Gareloi in the summer of 2003. During a month-long period, seismic networks were installed at Mount Gareloi and the neighboring Tanaga volcanic cluster. During this time, we undertook the first geologic field study of the volcano since Robert Coats visited Gareloi Island for four days in 1946. Understanding the geology of this relatively small island is important from a hazards perspective, because Mount Gareloi lies beneath a heavily trafficked air route between North America and Asia and has frequently erupted airborne ash since 1760. At least two landslides from the island have deposited debris on the sea floor; thus, landslide-generated tsunamis are also a potential hazard. Since seismic instruments were installed in 2003, they have detected small but consistent seismic signals from beneath Mount Gareloi's edifice, suggesting an active hydrothermal system. Mount Gareloi is also important from the standpoint of understanding subduction-related volcanism, because it lies in the western portion of the volcanically active arc, where subduction is oblique to the arc front. Understanding the compositional evolution of Mount Gareloi fills a spatial gap in along-arc studies.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3145","usgsCitation":"Coombs, M.L., McGimsey, R.G., and Browne, B., 2012, Geologic map of Mount Gareloi, Gareloi Island, Alaska: U.S. Geological Survey Scientific Investigations Map 3145, Pamphlet: ii, 18 p.; Appendix Download; Sheet: 30.93 x 29.64 inches; GIS Data Download, https://doi.org/10.3133/sim3145.","productDescription":"Pamphlet: ii, 18 p.; Appendix Download; Sheet: 30.93 x 29.64 inches; GIS Data Download","additionalOnlineFiles":"Y","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":256910,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3145.gif"},{"id":256903,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3145/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 1 North","datum":"North American Datum of 1983","country":"United States","state":"Alaska","otherGeospatial":"Mount Gareloi;Gareloi Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.88333333333333,51.73361111111111 ], [ -179.88333333333333,51.83416666666667 ], [ -178.7175,51.83416666666667 ], [ -178.7175,51.73361111111111 ], [ -179.88333333333333,51.73361111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1a40e4b0c8380cd55bca","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":464042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":464041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Browne, Brandon L.","contributorId":21646,"corporation":false,"usgs":true,"family":"Browne","given":"Brandon L.","affiliations":[],"preferred":false,"id":464043,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}