The Everglades Depth Estimation Network (EDEN) offers a consistent and documented dataset that can be used to guide large-scale field operations, to integrate hydrologic and ecological responses, and to support biological and ecological assessments that measure ecosystem responses to the Comprehensive Everglades Restoration Plan (Telis, 2006). Ground elevation data for the greater Everglades and the digital ground elevation models derived from them form the foundation for all EDEN water depth and associated ecologic/hydrologic modeling (Jones, 2004, Jones and Price, 2007). To use EDEN water depth and duration information most effectively, it is important to be able to view and manipulate information on elevation data quality and other land cover and habitat characteristics across the Everglades region. These requirements led to the development of the geographic data layer described in this techniques and methods report. Relying on extensive experience in GIS data development, distribution, and analysis, a great deal of forethought went into the design of the geographic data layer used to index elevation and other surface characteristics for the Greater Everglades region. To allow for simplicity of design and use, the EDEN area was broken into a large number of equal-sized rectangles ('Cells') that in total are referred to here as the 'grid'. Some characteristics of this grid, such as the size of its cells, its origin, the area of Florida it is designed to represent, and individual grid cell identifiers, could not be changed once the grid database was developed. Therefore, these characteristics were selected to design as robust a grid as possible and to ensure the grid's long-term utility. It is desirable to include all pertinent information known about elevation and elevation data collection as grid attributes. Also, it is very important to allow for efficient grid post-processing, sub-setting, analysis, and distribution. This document details the conceptual design of the EDEN grid spatial parameters and cell attribute-table content.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071200","usgsCitation":"Conceptual Design of the Everglades Depth Estimation Network (EDEN) Grid; 2007; OFR; 2007-1200; Jones, John W.; Price, Susan D.","productDescription":"xi, 9 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":192117,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2007/1200/coverthb.jpg"},{"id":10402,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1200/ofr20071200.pdf","text":"Report","size":"710 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2007-1200"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.11862740583817,\n 26.70489837770232\n ],\n [\n -81.81504185065552,\n 26.70489837770232\n ],\n [\n -81.81504185065552,\n 25.09416821042484\n ],\n [\n -80.11862740583817,\n 25.09416821042484\n ],\n [\n -80.11862740583817,\n 26.70489837770232\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
3321 College Avenue
Davie, FL 33314
Ground water is the major source of drinking water in the Carson River Basin, California and Nevada. Previous studies have shown that uranium and gross-alpha radioactivities in ground water can be greater than U.S. Environmental Protection Agency Maximum Contaminant Levels, particularly in the Carson Desert, Churchill County, Nevada. Studies also have shown that the primary source of the gross-alpha radioactivity and alpha-emitting radionuclides in ground water is the dissolution of uranium-rich granitic rocks and basin-fill sediments that have their origins in the Sierra Nevada. However, ground water sampled from some wells in the Carson Desert had grossalpha radioactivities greater than could be accounted for by the decay of dissolved uranium. The occurrence of polonium-210 (Po-210) was hypothesized to explain the higher than expected grossalpha radioactivities.
This report documents and describes the study design, field and analytical methods, and data used to determine whether Po-210 is the source of excess gross-alpha radioactivity in ground water underlying the Carson Desert in and around Fallon, Nevada. Specifically, this report presents: 1) gross alpha and uranium radioactivities for 100 wells sampled from June to September 2001; and 2) pH, dissolved oxygen, specific conductance, and Po-210 radioactivity for 25 wells sampled in April and June 2007. Results of quality-control samples for the 2007 dataset are also presented.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071231","usgsCitation":"Seiler, R.L., 2007, Methods and data used to investigate polonium-210 as a source of excess gross-alpha radioactivity in ground water, Churchill County, Nevada: U.S. Geological Survey Open-File Report 2007-1231, iv, 11 p., https://doi.org/10.3133/ofr20071231.","productDescription":"iv, 11 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2007/1231/coverthb.jpg"},{"id":10401,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1231/ofr20071231.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2007-1231"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a062","contributors":{"authors":[{"text":"Seiler, Ralph L.","contributorId":13609,"corporation":false,"usgs":true,"family":"Seiler","given":"Ralph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":293023,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80582,"text":"ofr20071232 - 2007 - Seabed ripple morphology and surficial sediment size at the SAX04 experiments near Fort Walton Beach, Florida, fall 2004","interactions":[],"lastModifiedDate":"2014-08-27T10:11:23","indexId":"ofr20071232","displayToPublicDate":"2007-10-20T00:00:00","publicationYear":"2007","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":"2007-1232","title":"Seabed ripple morphology and surficial sediment size at the SAX04 experiments near Fort Walton Beach, Florida, fall 2004","docAbstract":"Data presented in this report originates from measurements obtained off the Florida coast (fig. 1) as part of the Sediment Acoustics Experiment (SAX04) and Ripples Department Research Initiative (DRI) (Office of Naval Research (ONR), Critical Benthic Environmental Processes and Modeling, Long Range BAA 04-001, Sept. 10, 2003). The aim of this document is to present methods employed to extract data and the resulting measured ripple characteristics (ripple height, wavelength, and orientation) and seabed grain sizes. Application and analysis of the data with respect to hydro- and morphodynamics will be addressed in subsequent reports.
\nSediment transport in the coastal region is a complex process involving interactions between flow dynamics, sediments, and bedforms. Sediment type and bed geometry directly influence entrainment of sediments into suspension, and at sites where ripples occur (sand formations on the order of several cm high and less than two meter long wavelengths), the understanding of ripple dynamics is an essential component in improving sediment transport models. To gain a better understanding and ability to predict sediment transport, a field study was undertaken to investigate morphology, orientation, and dynamics of ripples on the seafloor. The data obtained from the field campaign also supports an on-going effort to study the effects of ripples on low grazing acoustic penetration into sandy marine sediments for the detection of objects, such as mines (Jackson and others, 2002).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071232","usgsCitation":"Hanes, D.M., Erikson, L., Lescinski, J.M., Harney, J.N., Carter, C.L., Hatcher, G., Lacy, J.R., and Rubin, D.M., 2007, Seabed ripple morphology and surficial sediment size at the SAX04 experiments near Fort Walton Beach, Florida, fall 2004 (Version 1.0): U.S. Geological Survey Open-File Report 2007-1232, Report: ii, 180 p.; Metadata, https://doi.org/10.3133/ofr20071232.","productDescription":"Report: ii, 180 p.; Metadata","numberOfPages":"184","onlineOnly":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":190737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071232.PNG"},{"id":10400,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1232/","linkFileType":{"id":5,"text":"html"}},{"id":293076,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1232/of-2007-1232.pdf"},{"id":293077,"type":{"id":16,"text":"Metadata"},"url":"https://walrus.wr.usgs.gov/infobank/p/p204fl/html/p-2-04-fl.meta.html"}],"country":"United States","state":"Florida","otherGeospatial":"Fort Walton Beach","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.7,30.06 ], [ -86.7,30.42 ], [ -86.52,30.42 ], [ -86.52,30.06 ], [ -86.7,30.06 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc528","contributors":{"authors":[{"text":"Hanes, Daniel M.","contributorId":96360,"corporation":false,"usgs":true,"family":"Hanes","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":293021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H.","contributorId":10880,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","affiliations":[],"preferred":false,"id":293018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lescinski, Jamie M.R.","contributorId":93579,"corporation":false,"usgs":true,"family":"Lescinski","given":"Jamie","email":"","middleInitial":"M.R.","affiliations":[],"preferred":false,"id":293020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harney, Jodi N.","contributorId":80761,"corporation":false,"usgs":true,"family":"Harney","given":"Jodi","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":293019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carter, Carissa L.","contributorId":107378,"corporation":false,"usgs":true,"family":"Carter","given":"Carissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":293022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatcher, Gerry A.","contributorId":8186,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerry A.","affiliations":[],"preferred":false,"id":293017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":293015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":293016,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":80587,"text":"ofr20071088 - 2007 - A monthly water-balance model driven by a graphical user interface","interactions":[],"lastModifiedDate":"2021-06-24T17:20:02.552399","indexId":"ofr20071088","displayToPublicDate":"2007-10-20T00:00:00","publicationYear":"2007","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":"2007-1088","displayTitle":"A Monthly Water-Balance Model Driven By a Graphical User Interface","title":"A monthly water-balance model driven by a graphical user interface","docAbstract":"This report describes a monthly water-balance model driven by a graphical user interface, referred to as the Thornthwaite monthly water-balance program. Computations of monthly water-balance components of the hydrologic cycle are made for a specified location. The program can be used as a research tool, an assessment tool, and a tool for classroom instruction.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071088","usgsCitation":"McCabe, G., and Markstrom, S., 2007, A monthly water-balance model driven by a graphical user interface: U.S. Geological Survey Open-File Report 2007-1088, Report: iii, 6 p.; Software, https://doi.org/10.3133/ofr20071088.","productDescription":"Report: iii, 6 p.; Software","onlineOnly":"Y","costCenters":[],"links":[{"id":10403,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1088/","linkFileType":{"id":5,"text":"html"}},{"id":386716,"rank":4,"type":{"id":35,"text":"Software Release"},"url":"https://www.usgs.gov/software/thornthwaite-monthly-water-balance-model","linkHelpText":"Thornthwaite Monthly Water Balance Model"},{"id":386715,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1088/pdf/of07-1088_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":194785,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2007/1088/coverthb.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd495ce4b0b290850ef191","contributors":{"authors":[{"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":293029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":293030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80580,"text":"ofr20071258 - 2007 - Geologic, Geophysical and Mineral Localities Map of Liberia: A Digital Compilation","interactions":[],"lastModifiedDate":"2018-09-05T08:16:14","indexId":"ofr20071258","displayToPublicDate":"2007-10-20T00:00:00","publicationYear":"2007","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":"2007-1258","title":"Geologic, Geophysical and Mineral Localities Map of Liberia: A Digital Compilation","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071258","isbn":"9781411319851","usgsCitation":"Wahl, R., 2007, Geologic, Geophysical and Mineral Localities Map of Liberia: A Digital Compilation (Version 1.0): U.S. Geological Survey Open-File Report 2007-1258, 2 DVDs, https://doi.org/10.3133/ofr20071258.","productDescription":"2 DVDs","costCenters":[],"links":[{"id":192332,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":357064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1258/ofr20071258_1.zip","text":"Disc 1","linkFileType":{"id":6,"text":"zip"}},{"id":357065,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1258/ofr20071258_2.zip","text":"Disc 2","linkFileType":{"id":6,"text":"zip"}}],"scale":"250000","country":"Liberia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.516666666666667,4.35 ], [ -11.516666666666667,8.55 ], [ -7.35,8.55 ], [ -7.35,4.35 ], [ -11.516666666666667,4.35 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a84fb","contributors":{"authors":[{"text":"Wahl, Ronald R.","contributorId":7332,"corporation":false,"usgs":true,"family":"Wahl","given":"Ronald R.","affiliations":[],"preferred":false,"id":293009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80567,"text":"ofr20071352 - 2007 - Science Review for the Scott Bar Salamander (Plethodon asupak) and the Siskiyou Mountains Salamander (P. stormi): Biology, Taxonomy, Habitat, and Detection Probabilities/Occupancy","interactions":[],"lastModifiedDate":"2017-11-21T16:42:08","indexId":"ofr20071352","displayToPublicDate":"2007-10-19T00:00:00","publicationYear":"2007","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":"2007-1352","title":"Science Review for the Scott Bar Salamander (Plethodon asupak) and the Siskiyou Mountains Salamander (P. stormi): Biology, Taxonomy, Habitat, and Detection Probabilities/Occupancy","docAbstract":"The Plethodon elongatus Complex in the Klamath-Siskiyou Ecoregion of southern Oregon and northern California includes three species: the Del Norte salamander, Plethodon elongatus; the Siskiyou Mountains salamander, P. stormi; and the Scott Bar salamander, P. asupak. This review aims to summarize the current literature and information available on select topics for P. stormi and P. asupak. These are both terrestrial salamanders belonging to the Family Plethodontidae, which contains more species and has a wider geographic distribution than any other family of salamanders (Wake 1966, 2006; Pough 1989). The genera of this family have greatly diversified ecologically across North America, Central America, northern South America, Sardinia, southeastern France and northwestern Italy, and have recently been discovered on the Korean peninsula (Min et al. 2005). The genus Plethodon is found exclusively in North America and is split into three distinct clades, based upon morphology and phylogenetics (Highton and Larson 1979): eastern small Plethodon, eastern large Plethodon, and the western Plethodon. The western Plethodon are the greatest representation of Plethodontidae in the Pacific Northwest, with 8 species. The two species with the most restricted ranges of these regional congeners are the Siskiyou Mountains and Scott Bar salamanders.\r\n\r\nThese salamanders occupy the interior of the Klamath-Siskiyou Ecoregion which straddles the California and Oregon state lines, between Siskiyou County (CA) and Jackson and Josephine Counties (OR). The relatively recent discovery of P. asupak (Mead et al. 2005) and the limited range of both species have created an environment of uncertain conservation status for these species. This review will focus on four central topics of concern for land and resource managers: Biology; Taxonomy; Habitat; and Detection Probabilities/Occupancy.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071352","usgsCitation":"DeGross, D.J., and Bury, R.B., 2007, Science Review for the Scott Bar Salamander (Plethodon asupak) and the Siskiyou Mountains Salamander (P. stormi): Biology, Taxonomy, Habitat, and Detection Probabilities/Occupancy: U.S. Geological Survey Open-File Report 2007-1352, iv, 14 p., https://doi.org/10.3133/ofr20071352.","productDescription":"iv, 14 p.","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":190586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10387,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1352/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd4e2","contributors":{"authors":[{"text":"DeGross, Douglas J.","contributorId":42661,"corporation":false,"usgs":true,"family":"DeGross","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":292943,"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":292944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80568,"text":"ofr20071252 - 2007 - Peru Mercury Inventory 2006","interactions":[],"lastModifiedDate":"2012-02-02T00:14:12","indexId":"ofr20071252","displayToPublicDate":"2007-10-19T00:00:00","publicationYear":"2007","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":"2007-1252","title":"Peru Mercury Inventory 2006","docAbstract":"In 2004, a specific need for data on mercury use in South America was indicated by the United Nations Environmental Programme-Chemicals (UNEP-Chemicals) at a workshop on regional mercury pollution that took place in Buenos Aires, Argentina. Mercury has long been mined and used in South America for artisanal gold mining and imported for chlor-alkali production, dental amalgam, and other uses.\r\n\r\nThe U.S. Geological Survey (USGS) provides information on domestic and international mercury production, trade, prices, sources, and recycling in its annual Minerals Yearbook mercury chapter. Therefore, in response to UNEP-Chemicals, the USGS, in collaboration with the Economic Section of the U.S. Embassy, Lima, has herein compiled data on Peru's exports, imports, and byproduct production of mercury. Peru was selected for this inventory because it has a 2000-year history of mercury production and use, and continues today as an important source of mercury for the global market, as a byproduct from its gold mines. Peru is a regional distributor of imported mercury and user of mercury for artisanal gold mining and chlor-alkali production.\r\n\r\nPeruvian customs data showed that 22 metric tons (t) of byproduct mercury was exported to the United States in 2006. Transshipped mercury was exported to Brazil (1 t), Colombia (1 t), and Guyana (1 t). Mercury was imported from the United States (54 t), Spain (19 t), and Kyrgyzstan (8 t) in 2006 and was used for artisanal gold mining, chlor-alkali production, dental amalgam, or transshipment to other countries in the region. Site visits and interviews provided information on the use and disposition of mercury for artisanal gold mining and other uses.\r\n\r\nPeru also imports mercury-containing batteries, electronics and computers, fluorescent lamps, and thermometers. In 2006, Peru imported approximately 1,900 t of a wide variety of fluorescent lamps; however, the mercury contained in these lamps, a minimum of approximately 76 kilograms (kg), and in other products such as batteries and computer electronics is not recycled and may ultimately be released to the environment.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071252","usgsCitation":"Brooks, W.E., Sandoval, E., Yepez, M.A., and Howard, H., 2007, Peru Mercury Inventory 2006: U.S. Geological Survey Open-File Report 2007-1252, v, 50 p., https://doi.org/10.3133/ofr20071252.","productDescription":"v, 50 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190705,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10388,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1252/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db6883a5","contributors":{"authors":[{"text":"Brooks, William E.","contributorId":104061,"corporation":false,"usgs":true,"family":"Brooks","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":292948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandoval, Esteban","contributorId":40681,"corporation":false,"usgs":true,"family":"Sandoval","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":292945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yepez, Miguel A.","contributorId":77610,"corporation":false,"usgs":true,"family":"Yepez","given":"Miguel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Howell","contributorId":89230,"corporation":false,"usgs":true,"family":"Howard","given":"Howell","email":"","affiliations":[],"preferred":false,"id":292947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":80572,"text":"ofr20071263 - 2007 - Rotational seismology: AGU session, working group, and website","interactions":[],"lastModifiedDate":"2019-07-17T16:59:03","indexId":"ofr20071263","displayToPublicDate":"2007-10-19T00:00:00","publicationYear":"2007","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":"2007-1263","title":"Rotational seismology: AGU session, working group, and website","docAbstract":"Introduction\r\n\r\nAlthough effects of rotational motions due to earthquakes have long been observed (e. g., Mallet, 1862), nevertheless Richter (1958, p. 213) stated that: 'Perfectly general motion would also involve rotations about three perpendicular axes, and three more instruments for these. Theory indicates, and observation confirms, that such rotations are negligible.' However, Richter provided no references for this claim.\r\n\r\nSeismology is based primarily on the observation and modeling of three-component translational ground motions. Nevertheless, theoretical seismologists (e.g., Aki and Richards, 1980, 2002) have argued for decades that the rotational part of ground motions should also be recorded. It is well known that standard seismometers are quite sensitive to rotations and therefore subject to rotation-induced errors. The paucity of observations of rotational motions is mainly the result of a lack, until recently, of affordable rotational sensors of sufficient resolution. Nevertheless, in the past decade, a number of authors have reported direct observations of rotational motions and rotations inferred from rigid-body rotations in short baseline accelerometer arrays, creating a burgeoning library of rotational data. For example, ring laser gyros in Germany and New Zealand have led to the first significant and consistent observations of rotational motions from distant earthquakes (Igel et al., 2005, 2007). A monograph on Earthquake Source Asymmetry, Structural Media and Rotation Effects was published recently as well by Teisseyre et al. (2006).\r\n\r\nMeasurement of rotational motions has implications for: (1) recovering the complete ground-displacement history from seismometer recordings; (2) further constraining earthquake rupture properties; (3) extracting information about subsurface properties; and (4) providing additional ground motion information to earthquake engineers for seismic design. A special session on Rotational Motions in Seismology was convened by H. Igel, W.H.K. Lee, and M. Todorovska during the 2006 AGU Fall Meeting. The goal of this session was to discuss rotational sensors, observations, modeling, theoretical aspects, and potential applications of rotational ground motions. The session was accompanied by the inauguration of an International Working Group on Rotational Seismology (IWGoRS) which aims to promote investigations of all aspects of rotational motions in seismology and their implications for related fields such as earthquake engineering, geodesy, strong-motion seismology, and tectonics, as well as to share experience, data, software, and results in an open Web-based environment.\r\n\r\nThe primary goal of this article is to make the Earth Science Community aware of the emergence of the field of rotational seismology.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071263","usgsCitation":"Lee, W.H., Igel, H., Todorovska, M.I., and Evans, J.R., 2007, Rotational seismology: AGU session, working group, and website (Version 2.0): U.S. Geological Survey Open-File Report 2007-1263, 7 p., https://doi.org/10.3133/ofr20071263.","productDescription":"7 p.","onlineOnly":"Y","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":192212,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10392,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1263/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 2.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db69693d","contributors":{"authors":[{"text":"Lee, William H.K.","contributorId":76836,"corporation":false,"usgs":true,"family":"Lee","given":"William","email":"","middleInitial":"H.K.","affiliations":[],"preferred":false,"id":292964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igel, Heiner","contributorId":47244,"corporation":false,"usgs":true,"family":"Igel","given":"Heiner","affiliations":[],"preferred":false,"id":292963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todorovska, Maria I.","contributorId":41090,"corporation":false,"usgs":true,"family":"Todorovska","given":"Maria","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":292962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, John R. jrevans@usgs.gov","contributorId":529,"corporation":false,"usgs":true,"family":"Evans","given":"John","email":"jrevans@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":292961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":80574,"text":"ofr20061323 - 2007 - Multiple-Objective Stepwise Calibration Using Luca","interactions":[],"lastModifiedDate":"2012-02-02T00:14:18","indexId":"ofr20061323","displayToPublicDate":"2007-10-19T00:00:00","publicationYear":"2007","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":"2006-1323","title":"Multiple-Objective Stepwise Calibration Using Luca","docAbstract":"This report documents Luca (Let us calibrate), a multiple-objective, stepwise, automated procedure for hydrologic model calibration and the associated graphical user interface (GUI). Luca is a wizard-style user-friendly GUI that provides an easy systematic way of building and executing a calibration procedure. The calibration procedure uses the Shuffled Complex Evolution global search algorithm to calibrate any model compiled with the U.S. Geological Survey's Modular Modeling System. This process assures that intermediate and final states of the model are simulated consistently with measured values.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061323","usgsCitation":"Hay, L.E., and Umemoto, M., 2007, Multiple-Objective Stepwise Calibration Using Luca (Version 1.0): U.S. Geological Survey Open-File Report 2006-1323, iii, 25 p., https://doi.org/10.3133/ofr20061323.","productDescription":"iii, 25 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194672,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10533,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1323/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698b65","contributors":{"authors":[{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":292967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Umemoto, Makiko","contributorId":13326,"corporation":false,"usgs":true,"family":"Umemoto","given":"Makiko","email":"","affiliations":[],"preferred":false,"id":292968,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80573,"text":"ofr20071235 - 2007 - Analysis of flood-magnitude and flood-frequency data for streamflow-gaging stations in the Delaware and North Branch Susquehanna River Basins in Pennsylvania","interactions":[],"lastModifiedDate":"2017-07-06T17:20:29","indexId":"ofr20071235","displayToPublicDate":"2007-10-19T00:00:00","publicationYear":"2007","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":"2007-1235","title":"Analysis of flood-magnitude and flood-frequency data for streamflow-gaging stations in the Delaware and North Branch Susquehanna River Basins in Pennsylvania","docAbstract":"The Delaware and North Branch Susquehanna River Basins in Pennsylvania experienced severe flooding as a result of intense rainfall during June 2006. The height of the flood waters on the rivers and tributaries approached or exceeded the peak of record at many locations. Updated flood-magnitude and flood-frequency data for streamflow-gaging stations on tributaries in the Delaware and North Branch Susquehanna River Basins were analyzed using data through the 2006 water year to determine if there were any major differences in the flood-discharge data. Flood frequencies for return intervals of 2, 5, 10, 50, 100, and 500 years (Q2, Q5, Q10, Q50, Q100, and Q500) were determined from annual maximum series (AMS) data from continuous-record gaging stations (stations) and were compared to flood discharges obtained from previously published Flood Insurance Studies (FIS) and to flood frequencies using partial-duration series (PDS) data.
A Wilcoxon signed-rank test was performed to determine any statistically significant differences between flood frequencies computed from updated AMS station data and those obtained from FIS. Percentage differences between flood frequencies computed from updated AMS station data and those obtained from FIS also were determined for the 10, 50, 100, and 500 return intervals. A Mann-Kendall trend test was performed to determine statistically significant trends in the updated AMS peak-flow data for the period of record at the 41 stations. In addition to AMS station data, PDS data were used to determine flood-frequency discharges. The AMS and PDS flood-frequency data were compared to determine any differences between the two data sets. An analysis also was performed on AMS-derived flood frequencies for four stations to evaluate the possible effects of flood-control reservoirs on peak flows. Additionally, flood frequencies for three stations were evaluated to determine possible effects of urbanization on peak flows.
The results of the Wilcoxon signed-rank test showed a significant difference at the 95-percent confidence level between the Q100 computed from AMS station data and the Q100 determined from previously published FIS for 97 sites. The flood-frequency discharges computed from AMS station data were consistently larger than the flood discharges from the FIS; mean percentage difference between the two data sets ranged from 14 percent for the Q100 to 20 percent for the Q50. The results of the Mann-Kendall test showed that 8 stations exhibited a positive trend (i.e., increasing annual maximum peaks over time) over their respective periods of record at the 95-percent confidence level, and an additional 7 stations indicated a positive trend, for a total of 15 stations, at a confidence level of greater than or equal to 90 percent. The Q2, Q5, Q10, Q50, and Q100 determined from AMS and PDS data for each station were compared by percentage. The flood magnitudes for the 2-year return period were 16 percent higher when partial-duration peaks were incorporated into the analyses, as opposed to using only the annual maximum peaks. The discharges then tended to converge around the 5-year return period, with a mean collective difference of only 1 percent. At the 10-, 50-, and 100-year return periods, the flood magnitudes based on annual maximum peaks were, on average, 6 percent higher compared to corresponding flood magnitudes based on partial-duration peaks.
Possible effects on flood peaks from flood-control reservoirs and urban development within the basin also were examined. Annual maximum peak-flow data from four stations were divided into pre- and post-regulation periods. Comparisons were made between the Q100 determined from AMS station data for the periods of record pre- and post-regulation. Two stations showed a nearly 60- and 20-percent reduction in the 100-year discharges; the other two stations showed negligible differences in discharges. Three stations within urban basins were compared to 38 stations
","language":"English","publisher":"U.S. Geological Survey ","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071235","collaboration":"Prepared in cooperation with the Department of Homeland Security, Federal Emergency Management Agency, Region III","usgsCitation":"Roland, M.A., and Stuckey, M.H., 2007, Analysis of flood-magnitude and flood-frequency data for streamflow-gaging stations in the Delaware and North Branch Susquehanna River Basins in Pennsylvania: U.S. Geological Survey Open-File Report 2007-1235, iv, 22 p., https://doi.org/10.3133/ofr20071235.","productDescription":"iv, 22 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":194398,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10393,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1235/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Delaware River Basin, North Branch Susquehanna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.772705078125,\n 39.715638134796336\n ],\n [\n -75.69580078125,\n 39.78321267821705\n ],\n [\n -75.5859375,\n 39.83385008019448\n ],\n [\n -75.47607421875,\n 39.83385008019448\n ],\n [\n -75.41015624999999,\n 39.816975090490004\n ],\n [\n -75.25634765625,\n 39.86758762451019\n ],\n [\n -75.201416015625,\n 39.85915479295669\n ],\n [\n -75.146484375,\n 39.90130858574735\n ],\n [\n -75.12451171875,\n 39.985538414809746\n ],\n [\n -75.003662109375,\n 40.0360265298117\n ],\n [\n -74.849853515625,\n 40.10328591293439\n ],\n [\n -74.794921875,\n 40.1452892956766\n ],\n [\n -74.827880859375,\n 40.23760536584024\n ],\n [\n -74.893798828125,\n 40.33817045213394\n ],\n [\n -75.025634765625,\n 40.421860362045194\n ],\n [\n -75.047607421875,\n 40.463666324587685\n ],\n [\n -75.08056640625,\n 40.54720023441049\n ],\n [\n -75.16845703124999,\n 40.538851525354666\n ],\n [\n -75.16845703124999,\n 40.63896734381723\n ],\n [\n -75.16845703124999,\n 40.72228267283148\n ],\n [\n -75.11352539062499,\n 40.78054143186033\n ],\n [\n -75.047607421875,\n 40.85537053192494\n ],\n [\n -75.11352539062499,\n 40.93011520598305\n ],\n [\n -75.1025390625,\n 41.0130657870063\n ],\n [\n -74.959716796875,\n 41.13729606112276\n ],\n [\n -74.783935546875,\n 41.28606238749825\n ],\n [\n -74.718017578125,\n 41.31082388091818\n ],\n [\n -74.674072265625,\n 41.376808565702355\n ],\n [\n -74.805908203125,\n 41.43449030894922\n ],\n [\n -74.893798828125,\n 41.43449030894922\n ],\n [\n -74.99267578125,\n 41.50034959128928\n ],\n [\n -75.08056640625,\n 41.65649719441145\n ],\n [\n -75.08056640625,\n 41.705728515237524\n ],\n [\n -75.08056640625,\n 41.77950486590359\n ],\n [\n -75.091552734375,\n 41.83682786072714\n ],\n [\n -75.1904296875,\n 41.86956082699455\n ],\n [\n -75.25634765625,\n 41.86137915587359\n ],\n [\n -75.267333984375,\n 41.91045347666418\n ],\n [\n -75.34423828125,\n 41.96765920367816\n ],\n [\n -75.574951171875,\n 42.02481360781777\n ],\n [\n -77.13226318359375,\n 42.00032514831621\n ],\n [\n -77.76123046875,\n 41.9921602333763\n ],\n [\n -77.75848388671875,\n 41.918628865183045\n ],\n [\n -77.16796875,\n 41.74467659677642\n ],\n [\n -76.89880371093749,\n 41.74672584176937\n ],\n [\n -76.827392578125,\n 41.73033005046653\n ],\n [\n -76.72576904296875,\n 41.70367796221136\n ],\n [\n -76.61865234374999,\n 41.7200805552871\n ],\n [\n -76.52801513671875,\n 41.68522004222073\n ],\n [\n -76.40167236328125,\n 41.65239288426814\n ],\n [\n -76.234130859375,\n 41.64828831259533\n ],\n [\n -76.1077880859375,\n 41.56203190200195\n ],\n [\n -76.31378173828125,\n 41.52502957323801\n ],\n [\n -76.40167236328125,\n 41.46125371076149\n ],\n [\n -76.45660400390625,\n 41.43654942411456\n ],\n [\n -76.46484375,\n 41.42419375330273\n ],\n [\n -76.56097412109375,\n 41.209655278807034\n ],\n [\n -76.739501953125,\n 41.000629848685385\n ],\n [\n -76.68731689453125,\n 40.88237140485816\n ],\n [\n -76.48406982421875,\n 40.92804010533237\n ],\n [\n -76.0089111328125,\n 40.89482963261175\n ],\n [\n -76.234130859375,\n 40.711873951908096\n ],\n [\n -76.4373779296875,\n 40.66813955408042\n ],\n [\n -76.5692138671875,\n 40.588928169693745\n ],\n [\n -76.57745361328125,\n 40.44694705960048\n ],\n [\n -76.35223388671875,\n 40.43649540640561\n ],\n [\n -76.2396240234375,\n 40.42395127765169\n ],\n [\n -76.17919921875,\n 40.390488829277956\n ],\n [\n -76.12701416015624,\n 40.29209669470104\n ],\n [\n -76.2725830078125,\n 40.094882122321145\n ],\n [\n -75.772705078125,\n 39.715638134796336\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680afb","contributors":{"authors":[{"text":"Roland, Mark A. 0000-0002-0268-6507 mroland@usgs.gov","orcid":"https://orcid.org/0000-0002-0268-6507","contributorId":2116,"corporation":false,"usgs":true,"family":"Roland","given":"Mark","email":"mroland@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuckey, Marla H. 0000-0002-5211-8444 mstuckey@usgs.gov","orcid":"https://orcid.org/0000-0002-5211-8444","contributorId":1734,"corporation":false,"usgs":true,"family":"Stuckey","given":"Marla","email":"mstuckey@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292965,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80565,"text":"ofr20061076 - 2007 - Vascular Plant and Vertebrate Inventory of Organ Pipe Cactus National Monument","interactions":[],"lastModifiedDate":"2012-02-02T00:14:05","indexId":"ofr20061076","displayToPublicDate":"2007-10-18T00:00:00","publicationYear":"2007","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":"2006-1076","title":"Vascular Plant and Vertebrate Inventory of Organ Pipe Cactus National Monument","docAbstract":"Executive Summary\r\n\r\nWe summarized inventory and monitoring efforts for plants and vertebrates at Organ Pipe Cactus National Monument (NM) in Arizona. We used data from previous research to compile complete species lists for the monument and to assess inventory completeness.\r\n\r\nThere have been 1,031 species of plants and vertebrates observed at the monument. Most of the species on the list are documented by voucher specimens. There are 59 non-native species established in the monument: one mammal, three birds, and 55 non-native plants. Most non-native plant species were first recorded along roads.\r\n\r\nIn each taxon-specific chapter, we highlight areas that contribute disproportionately to species richness or that have unique species for the monument. Of particular importance are Quitobaquito Springs and Pond, which are responsible for the monument having one of the highest number of bird species in the Sonoran Desert Network of parks. Quitobaquito also contains the only fish in the monument, the endangered Quitobaquito pupfish (Cyprinodon eremus). Other important resources for the plants and vertebrates include the xeroriparian washes (e.g., Alamo Canyon) and the Ajo Mountains.\r\n\r\nBased on the review of past studies, we believe the inventories of vascular plants and vertebrates are nearly complete and that the monument has one of the most complete inventories of any unit in the Sonoran Desert Network.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061076","collaboration":"Prepared in cooperation with the University of Arizona, School of Natural Resources","usgsCitation":"Schmidt, C., Powell, B., and Halvorson, W., 2007, Vascular Plant and Vertebrate Inventory of Organ Pipe Cactus National Monument (Version 1.0): U.S. Geological Survey Open-File Report 2006-1076, x, 60 p., https://doi.org/10.3133/ofr20061076.","productDescription":"x, 60 p.","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":193131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10385,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1076/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602855","contributors":{"authors":[{"text":"Schmidt, Cecilia A.","contributorId":25645,"corporation":false,"usgs":true,"family":"Schmidt","given":"Cecilia A.","affiliations":[],"preferred":false,"id":292939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Brian F.","contributorId":25644,"corporation":false,"usgs":true,"family":"Powell","given":"Brian F.","affiliations":[],"preferred":false,"id":292938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halvorson, William L.","contributorId":97194,"corporation":false,"usgs":true,"family":"Halvorson","given":"William L.","affiliations":[],"preferred":false,"id":292940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}