This chapter is the tenth in a series of 11 book-length chapters, collectively referred to as “this volume,” in the series U.S. Geological Survey Professional Paper 1386, Satellite Image Atlas of Glaciers of the World. In the other 10 chapters, each of which concerns a specific glacierized region of Earth, the authors used remotely sensed images, primarily from the Landsat 1, 2, and 3 series of spacecraft, in order to analyze that glacierized region and to monitor changes in its glaciers. Landsat images, acquired primarily during the period 1972 through 1981, were used by an international team of glaciologists and other scientists to study the various glacierized regions and (or) to discuss related glaciological topics. In each glacierized region, the present distribution of glaciers within its geographic area is compared, wherever possible, with historical information about their past areal extent. The atlas provides an accurate regional inventory of the areal extent of glacier ice on our planet during the 1970s as part of an expanding international scientific effort to measure global environmental change on the Earth’s surface. However, this chapter differs from the other 10 in its discussion of observed changes in all four elements of the Earth’s cryosphere (glaciers, snow cover, floating ice, and permafrost) in the context of documented changes in all components of the Earth System. Human impact on the planet at the beginning of the 21st century is pervasive. The focus of Chapter A is on changes in the cryosphere and the importance of long-term monitoring by a variety of sensors carried on Earth-orbiting satellites or by a ground-based network of observatories in the case of permafrost. The chapter consists of five parts. The first part provides an introduction to the Earth System, including the interrelationships of the geosphere (cryosphere, hydrosphere, lithosphere, and atmosphere), the biosphere, climate processes, biogeochemical cycles, and the critically important hydrologic cycle, in which glacier ice is the second largest reservoir of water after the oceans. The second part assesses the state of glaciers in all of the glacierized regions of the planet, primarily as drawn in the other 10 chapters. It includes sections on ice cores and the climate record they contain, volumetric changes in glaciers, harnessing spaceborne sensors to measure changes in glaciers, and related topics. The third part summarizes trends in global snow cover. The fourth part summarizes long-term changes in area and thickness of floating ice, including polar sea ice and freshwater (lake and river) ice. The fifth part assesses the loss of permafrost and changes in periglacial environments at high latitudes and high altitudes.
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Sedimentation and other forms of land-based pollution have led to declines in water quality and coral reef health over the past two decades (Tissot, 1998). Erosion mitigation efforts are underway on land, and there is a need to evaluate the impact of these actions on the adjacent coastal ecosystem. The Kohala Center and Kohala Watershed Partnership was awarded $2.69 million from the National Oceanographic and Atmospheric Administration’s (NOAA) Restoration Center as part of the American Recovery and Reinvestment Act of 2009 to stabilize soil and improve land-use practices in the Pelekane Bay watershed. The grant allowed the Kohala Watershed Partnership to implement various upland watershed management activities to reduce land-based sources of pollution into Pelekane Bay. However, a number of questions must be answered in order to: (1) evaluate the effectiveness of the terrestrial watershed remediation efforts; (2) understand the potential of the local marine ecosystem to recover; and (3) understand the potential threat that existing mud deposits in the bay pose to adjacent, relatively pristine coral reef ecosystems. The goal of this experiment was to help address these questions and establish a framework to evaluate the success of the Kohala Watershed Partnership restoration efforts. This research program will also provide resource managers with information relevant to other watershed restoration efforts currently being planned in neighboring watersheds. This project involved an interdisciplinary team of coral reef biologists from the University of Hawaii Coral Reef Assessment and Monitoring Program, who focused on the impact of sedimentation on the biota of Pelekane Bay, and a team of geologists and oceanographers from the U.S. Geological Survey (USGS), who focused on the circulation and sediment dynamics in Pelekane and Kawaihae Bays. The initial findings from the USGS research program are described in this report. These measurements support the ongoing studies being conducted as part of the USGS Coastal and Marine Geology Program’s Pacific Coral Reef Project to better understand the effect of geologic and oceanographic processes on coral reef systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121264","usgsCitation":"Storlazzi, C., Field, M.E., Presto, M., Swarzenski, P.W., Logan, J., Reiss, T.E., Elfers, T.C., Cochran, S., Torresan, M.E., and Chezar, H., 2012, Coastal circulation and sediment dynamics in Pelekane and Kawaihae Bays, Hawaii--measurements of waves, currents, temperature, salinity, turbidity, and geochronology: November 2010--March 2011: U.S. Geological Survey Open-File Report 2012-1264, vi, 104 p., https://doi.org/10.3133/ofr20121264.","productDescription":"vi, 104 p.","startPage":"i","endPage":"104","numberOfPages":"111","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-11-01","temporalEnd":"2011-05-01","ipdsId":"IP-038954","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":267156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1264.jpg"},{"id":267154,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1264/"},{"id":267155,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1264/pdf/of2012-1264.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Pelekane Bay;Kawaihae Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.3,18.9 ], [ -178.3,28.4 ], [ -154.8,28.4 ], [ -154.8,18.9 ], [ -178.3,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51176fe2e4b0893acf3fff94","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":473267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":473259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. 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This river reach is owned by the U.S. Army Corps of Engineers (USACE), which must ensure that appropriate actions are undertaken to aid in recovery of logperch. Monitoring of fish abundance and habitat conditions provides a means for assessing the species’ status and its responses to USACE management actions. The Roanoke logperch is a large darter (Percidae: Etheostomatinae) endemic to the Roanoke, Dan, and Nottoway River basins of Virginia and North Carolina, where it occupies third- to sixth-order streams containing relatively silt-free substrate (Jenkins and Burkhead, 1994). Because of its rarity, small range, and vulnerability to siltation, the Roanoke logperch was listed in 1989 as endangered under the U.S. Endangered Species Act (ESA) (U.S. Federal Register 54:34468-34472). Within the Dan basin, Roanoke logperch have long been known to occupy the Smith River and one of its largest tributaries, Town Creek (Jenkins and Burkhead, 1994). Logperch also recently were discovered in other tributaries of the Dan River, including North Carolina segments of the Mayo River, Cascade Creek, Big Beaver Island Creek, Wolf Island Creek (William Hester, U.S. Fish and Wildlife Service, personal commun., 2012). Within the Smith River, Roanoke logperch are present both upstream and downstream from Philpott Reservoir, a hydroelectric and water storage project owned and operated by the USACE. Although logperch have not been observed in the reservoir itself, the species is relatively abundant in a free-flowing, ≈ 2.5-km-long segment of Smith River upstream from the reservoir on USACE property (Lahey and Angermeier, 2006). This segment is bounded on the downstream end by the lentic conditions of the reservoir and on the upstream end by White Falls, a natural waterfall that presumably allows fish passage during all but the lowest streamflow (Roberts and Angermeier, 2009). The ESA stipulates that USACE must ensure that its actions do not jeopardize Roanoke logperch and ensure that appropriate actions are taken to aid in the recovery of Roanoke logperch. USACE recognized that additional information was needed to assess compliance with these stipulations, including data on baseline population levels, habitat availability, and potential threats to the species on USACE property. USACE therefore contracted with Virginia Tech (VT) and the U.S. Geological Survey via the Virginia Cooperative Fisheries and Wildlife Research Unit (VCFWRU) to continue ecological monitoring that was initiated in a pilot study in 2005 (Lahey and Angermeier, 2006). The VCFWRU is jointly sponsored by the U.S. Geological Survey, Virginia Tech, Virginia Department of Game and Inland Fisheries, and Wildlife Management Institute. This final report summarizes results of biological monitoring performed by VT and the VCFWRU in 2011, and compares these data to data collected during 2006–2010 (Roberts and Angermeier, 2011). Where appropriate, a comparison was made to data on Roanoke logperch collected previously in the study reach (Lahey and Angermeier, 2006) and in the upper Roanoke River (Roberts and Angermeier, 2011). This work was performed under the auspices of VT’s Institutional Animal Care and Use Committee (IACUC) protocol 11-035-FIW. Specifically, the following objectives were addressed: * Estimate population density of Roanoke logperch on USACE property; * Measure and map by suitability class the distribution of habitat suitable for Roanoke logperch in the project area; * Assess water quality relative to Roanoke logperch habitat in the project area; * Use the data on logperch abundance, habitat suitability, and water quality to test the general validity of correlates of logperch abundance from other locations; * Identify opportunities and threats related to protecting and enhancing Roanoke logperch habitat; and * Provide suggestions on the necessity and scale of future studies and monitoring related to logperch in and near USACE waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121221","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Wilmington District","usgsCitation":"Roberts, J.H., and Angermeier, P.L., 2012, Monitoring of endangered Roanoke logperch (Percina rex) in Smith River upstream from the Philpott Reservoir on U.S. Army Corps of Engineers property near Martinsville, Virginia: U.S. Geological Survey Open-File Report 2012-1221, iv, 11 p., https://doi.org/10.3133/ofr20121221.","productDescription":"iv, 11 p.","startPage":"i","endPage":"11","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":267142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1221.gif"},{"id":267140,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1221/"},{"id":267141,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1221/pdf/ofr2012-1221.pdf"}],"country":"United States","state":"Virginia","city":"Martinsville","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.904077,36.643805 ], [ -79.904077,36.715337 ], [ -79.826259,36.715337 ], [ -79.826259,36.643805 ], [ -79.904077,36.643805 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5114cd07e4b0ca7af0743ae7","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":473206,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043216,"text":"sim3110 - 2012 - Geology of the Prince William Sound and Kenai Peninsula region, Alaska: Including the Kenai, Seldovia, Blying Sound, Cordova, and Middleton Island 1:250,000-scale quadrangles","interactions":[],"lastModifiedDate":"2022-04-15T20:46:51.831141","indexId":"sim3110","displayToPublicDate":"2013-02-07T00:00:00","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":"3110","title":"Geology of the Prince William Sound and Kenai Peninsula region, Alaska: Including the Kenai, Seldovia, Blying Sound, Cordova, and Middleton Island 1:250,000-scale quadrangles","docAbstract":"The Prince William Sound and Kenai Peninsula region includes a significant part of one of the world’s largest accretionary complexes and a small part of the classic magmatic arc geology of the Alaska Peninsula. Physiographically, the map area ranges from the high glaciated mountains of the Alaska and Aleutian Ranges and the Chugach Mountains to the coastal lowlands of Cook Inlet and the Copper River delta. Structurally, the map area is cut by a number of major faults and postulated faults, the most important of which are the Border Ranges, Contact, and Bruin Bay Fault systems. The rocks of the map area belong to the Southern Margin composite terrane, a Tertiary and Cretaceous or older subduction-related accretionary complex, and the Alaska Peninsula terrane. Mesozoic rocks between these two terranes have been variously assigned to the Peninsular or the Hidden terranes. The oldest rocks in the map area are blocks of Paleozoic age within the mélange of the McHugh Complex; however, the protolith age of the greenschist and blueschist within the Border Ranges Fault zone is not known. Extensive glacial deposits mantle the Kenai Peninsula and the lowlands on the west side of Cook Inlet and are locally found elsewhere in the map area. This map was compiled from existing mapping, without generalization, and new or revised data was added where available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3110","usgsCitation":"Wilson, F.H., and Hults, C.P., 2012, Geology of the Prince William Sound and Kenai Peninsula region, Alaska: Including the Kenai, Seldovia, Blying Sound, Cordova, and Middleton Island 1:250,000-scale quadrangles: U.S. Geological Survey Scientific Investigations Map 3110, Report: i, 38 p.; 1 Plate: 58.64 × 41.99 inches, https://doi.org/10.3133/sim3110.","productDescription":"Report: i, 38 p.; 1 Plate: 58.64 × 41.99 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":267134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3110.png"},{"id":267133,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3110/sim3110_sheet_screen.pdf"},{"id":267131,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3110/"},{"id":267132,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3110/sim3110_pamphlet.pdf"},{"id":393705,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98145.htm"}],"scale":"350000","country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula region, Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153,\n 59\n ],\n [\n -144,\n 59\n ],\n [\n -144,\n 61\n ],\n [\n -153,\n 61\n ],\n [\n -153,\n 59\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5114cd04e4b0ca7af0743adb","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":473180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":473181,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043117,"text":"sir20125261 - 2012 - Groundwater status and trends for the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","interactions":[],"lastModifiedDate":"2020-07-15T14:12:20.392543","indexId":"sir20125261","displayToPublicDate":"2013-02-05T00:00:00","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":"2012-5261","title":"Groundwater status and trends for the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","docAbstract":"Well information and groundwater-level measurements for the Columbia Plateau Regional Aquifer System in Washington, Oregon, and Idaho, were compiled from data provided by the U.S. Geological Survey and seven other organizations. From the full set of about 60,000 wells and 450,000 water-level measurements a subset of 761 wells within the aquifers of the Columbia River Basalt Group (CRBG) then was used to develop a simple linear groundwater-level trend map for 1968–2009. The mean of the trends was a decline of 1.9 feet per year (ft/yr), with 72 percent of the water levels in wells declining. Rates of declines greater than 1.0 ft/yr were measured in 50 percent of wells, declines greater than 2.0 ft/yr in 38 percent of wells, declines greater than 4.0 ft/yr in 29 percent of wells, and declines greater than 8.0 ft/yr in 4 percent of wells. Water-level data were used to identify groups of wells with similar hydraulic heads and temporal trends to delineate areas of overall similar groundwater conditions. Discontinuities in hydraulic head between well groups were used to help infer the presence of barriers to groundwater flow such as changes in lithology or the occurrence of folds and faults. In areas without flow barriers, dissimilarities in response of well groups over time resulted from the formation of groundwater mounds caused by recharge from irrigation or regions of decline caused by pumping. The areas of focus for this analysis included the Umatilla area, Oregon, and the Palouse Slope/eastern Yakima Fold Belt in the Columbia Basin Ground Water Management Area (GWMA) consisting of Adams, Franklin, Grant, and Lincoln Counties, Washington. In the Umatilla area, water levels from 286 wells were used to identify multiple areas of high hydraulic gradient that indicate vertical and horizontal barriers to groundwater flow. These barriers divide the groundwater-flow system into several compartments with varying degrees of interconnection. Horizontal flow barriers commonly correspond to mapped geologic structure and result in horizontal hydraulic gradients that progressively become steeper from north to south corresponding to an increase in structural complexity that may be impeding recharge from the uplands into the heavily developed areas. Most CRBG aquifers in the Umatilla area are declining and since 1970, cumulative declines range from about 100 to 300 feet. Significant vertical hydraulic gradients are documented for relatively small areas near Umatilla, and since the 1970s, downward vertical gradients in these areas have been increasing as hydraulic heads in the deeper units have declined. The absence of vertical gradients over much of the area may be a consequence of flow through commingling wells that results in the equilibration of the heads between aquifers. On the Palouse Slope in the central GWMA, large groundwater declines occurred during 1968–2009 along a north-south swath in the middle of the region. An analysis of 1,195 wells along major flow paths and through the area of persistent groundwater-level declines indicates that barriers to flow are not as evident in this area as in Umatilla. This is consistent with the geologic interpretation of the Palouse Slope as being a gently folded structure created by voluminous sheet flows of CRBG lavas. Groundwater discharge into the sediment-filled coulees, where the upper aquifers are intersected at land surface by incised canyons, is proposed as an alternative to explain local steepening of the hydraulic gradient along the Palouse Slope previously attributed to the presence of a groundwater dam. Comparison of generalized potentiometric surface maps developed for pre-development conditions and post-2000 conditions indicate that pre-development groundwater flow was from the uplands toward the Columbia and Snake River and that post-2000 flow patterns in the area are controlled by irrigation practices that have resulted in broad regions of elevated or depressed hydraulic head. In some cases, irrigation-related changes in head have reversed groundwater flow directions. Evidence of significant vertical hydraulic gradients exists, although much of the aquifer thickness is affected by commingling of wells. The effect of commingling and its relative contribution to problems related to groundwater-level declines remains unclear.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125261","collaboration":"U.S. Geological Survey Groundwater Resources Program and prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Burns, E., Snyder, D.T., Haynes, J.V., and Waibel, M.S., 2012, Groundwater status and trends for the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho: U.S. Geological Survey Scientific Investigations Report 2012-5261, Report: viii, 52 p.; Data Release, https://doi.org/10.3133/sir20125261.","productDescription":"Report: viii, 52 p.; Data Release","additionalOnlineFiles":"N","ipdsId":"IP-029168","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":267011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5261.jpg"},{"id":267010,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5261/pdf/sir2012-5261.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":267009,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5261/"},{"id":376359,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q53DOD","text":"Data release","description":"Data Release","linkHelpText":"Wells and water levels used in the Columbia Plateau Regional Aquifer System Study, Idaho, Oregon, and Washington"}],"country":"United States","state":"Washington, Oregon, Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7857,42.0 ], [ -124.7857,49.0 ], [ -111.0,49.0 ], [ -111.0,42.0 ], [ -124.7857,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511229fbe4b0ebe69d7eb600","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":84802,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":310,"text":"Geology, Minerals, Energy and Geophysics Science Center","active":false,"usgs":true}],"preferred":false,"id":472992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":472989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waibel, Michael S.","contributorId":19984,"corporation":false,"usgs":true,"family":"Waibel","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472991,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043852,"text":"70043852 - 2012 - Response of biological soil crust diazotrophs to season, altered summer precipitation, and year-round increased temperature in an arid grassland of the Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2013-02-28T10:05:39","indexId":"70043852","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1705,"text":"Frontiers in Terrestrial Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Response of biological soil crust diazotrophs to season, altered summer precipitation, and year-round increased temperature in an arid grassland of the Colorado Plateau, USA","docAbstract":"Biological soil crusts (biocrusts), which supply significant amounts of fixed nitrogen into terrestrial ecosystems worldwide (~33Tg y-1), are likely to respond to changes in temperature and precipitation associated with climate change. Using nifH gene-based surveys, we explored variation in the diazotrophic community of biocrusts of the Colorado Plateau, USA in response to season (autumn vs. spring), as well as field manipulations that increased the frequency of small volume precipitation events and year-round soil temperature. Abundance of nifH genes in biocrusts ranged from 3×106 to 1×8 g-1 soil, and nifH from heterocystous cyanobacteria closely related to Scytonema hyalinum, Spirirestis rafaelensis, and Nostoc commune comprised >98% of the total. Although there was no apparent seasonal effect on total nifH gene abundance in the biocrusts, T-RFLP analysis revealed a strong seasonal pattern in nifH composition. Spirirestis nifH abundance was estimated to oscillate 1 to >2 orders of magnitude between autumn (low) and spring (high). A year-round increase of soil temperature (2–3°C) had little effect on the diazotroph community structure over 2 years. Altered summer precipitation had little impact on diazotroph community structure over the first 1.5years of the study, when natural background patterns across years and seasons superseded any treatment effects. However, after the second summer of treatments, nifH abundance was 2.6-fold lower in biocrusts receiving altered precipitation. Heterocystous cyanobacteria were apparently more resilient to altered precipitation than other cyanobacteria. The results demonstrate that diazotrophic community composition of biocrusts in this semi-arid grassland undergoes strong seasonal shifts and that the abundance of its dominant members decreased in response to more frequent, small volume precipitation events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Frontiers in Terrestrial Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Frontiers","publisherLocation":"Lausanne, Switzerland","doi":"10.3389/fmicb.2012.00358","usgsCitation":"Yeager, C.M., Kuske, C.R., Carney, T.D., Johnson, S.L., Ticknor, L.O., and Belnap, J., 2012, Response of biological soil crust diazotrophs to season, altered summer precipitation, and year-round increased temperature in an arid grassland of the Colorado Plateau, USA: Frontiers in Terrestrial Microbiology, v. 3, 14 p., https://doi.org/10.3389/fmicb.2012.00358.","productDescription":"14 p.","numberOfPages":"14","ipdsId":"IP-042050","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2012.00358","text":"Publisher Index Page"},{"id":268540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268412,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3389/fmicb.2012.00358"}],"country":"United States","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51308a9ae4b04c194073ae41","contributors":{"authors":[{"text":"Yeager, Chris M.","contributorId":41301,"corporation":false,"usgs":false,"family":"Yeager","given":"Chris","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuske, Cheryl R.","contributorId":81063,"corporation":false,"usgs":false,"family":"Kuske","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carney, Travis D.","contributorId":15486,"corporation":false,"usgs":true,"family":"Carney","given":"Travis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":474308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Shannon L.","contributorId":22643,"corporation":false,"usgs":true,"family":"Johnson","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ticknor, Lawrence O.","contributorId":56527,"corporation":false,"usgs":true,"family":"Ticknor","given":"Lawrence","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":474311,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474307,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043059,"text":"sir20125250 - 2012 - Total nitrogen and suspended-sediment loads and identification of suspended-sediment sources in the Laurel Hill Creek watershed, Somerset County, Pennsylvania, water years 2010-11","interactions":[],"lastModifiedDate":"2013-02-01T15:24:40","indexId":"sir20125250","displayToPublicDate":"2013-02-01T00:00:00","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":"2012-5250","title":"Total nitrogen and suspended-sediment loads and identification of suspended-sediment sources in the Laurel Hill Creek watershed, Somerset County, Pennsylvania, water years 2010-11","docAbstract":"Laurel Hill Creek is a watershed of 125 square miles located mostly in Somerset County, Pennsylvania, with small areas extending into Fayette and Westmoreland Counties. The upper part of the watershed is on the Pennsylvania Department of Environmental Protection 303(d) list of impaired streams because of siltation, nutrients, and low dissolved oxygen concentrations. The objectives of this study were to (1) estimate the annual sediment load, (2) estimate the annual nitrogen load, and (3) identify the major sources of fine-grained sediment using the sediment-fingerprinting approach. This study by the U.S. Geological Survey (USGS) was done in cooperation with the Somerset County Conservation District. Discharge, suspended-sediment, and nutrient data were collected at two streamflow-gaging stations—Laurel Hill Creek near Bakersville, Pa., (station 03079600) and Laurel Hill Creek at Ursina, Pa., (station 03080000)—and one ungaged stream site, Laurel Hill Creek below Laurel Hill Creek Lake at Trent (station 03079655). Concentrations of nutrients generally were low. Concentrations of ammonia were less than 0.2 milligrams per liter (mg/L), and concentrations of phosphorus were less than 0.3 mg/L. Most concentrations of phosphorus were less than the detection limit of 0.02 mg/L. Most water samples had concentrations of nitrate plus nitrite less than 1.0 mg/L. At the Bakersville station, concentrations of total nitrogen ranged from 0.63 to 1.3 mg/L in base-flow samples and from 0.57 to 1.5 mg/L in storm composite samples. Median concentrations were 0.88 mg/L in base-flow samples and 1.2 mg/L in storm composite samples. At the Ursina station, concentrations of total nitrogen ranged from 0.25 to 0.92 mg/L in base-flow samples; the median concentration was 0.57 mg/L. The estimated total nitrogen load at the Bakersville station was 262 pounds (lb) for 11 months of the 2010 water year (November 2009 to September 2010) and 266 lb for the 2011 water year. Most of the total nitrogen loading was from stormflows. The stormflow load accounted for 76.6 percent of the total load for the 2010 water year and 80.6 percent of the total load for the 2011 water year. The estimated monthly total nitrogen loads were higher during the winter and spring (December through May) than during the summer (June through August). For the Bakersville station, the estimated suspended-sediment load (SSL) was 17,700 tons for 11 months of the 2010 water year (November 2009 to September 2010). The storm beginning January 24, 2010, provided 34.4 percent of the annual SSL, and the storm beginning March 10, 2010, provided 31.9 percent of the annual SSL. Together, these two winter storms provided 66 percent of the annual SSL for the 2010 water year. For the 2011 water year, the estimated annual SSL was 13,500 tons. For the 2011 water year, the SSLs were more evenly divided among storms than for the 2010 water year. Seven of 37 storms with the highest SSLs provided a total of 65.7 percent of the annual SSL for the 2011 water year; each storm provided from 4.6 to 12.3 percent of the annual SSL. The highest cumulative SSL for the 2010 and 2011 water years generally occurred during the late winter. Stormflows with the highest peak discharges generally carried the highest SSL. The sediment-fingerprinting approach was used to quantify sources of fine-grained suspended sediment in the watershed draining to the Laurel Hill Creek near Bakersville streamflow-gaging station. Sediment source samples were collected from five source types: 20 from cropland, 9 from pasture, 18 from forested areas, 20 from unpaved roads, and 23 from streambanks. At the Bakersville station, 10 suspended-sediment samples were collected during 6 storms for sediment-source analysis. Thirty-five tracers from elemental analysis and 4 tracers from stable isotope analysis were used to fingerprint the source of sediment for the 10 storm samples. Statistical analysis determined that cropland and pasture could not be discriminated by the set of tracers and were combined into one source group—agriculture. Stepwise discriminant function analysis determined that 11 tracers best described the 4 sources. An \"unmixing\" model applied to the 11 tracers showed that agricultural land (cropland and pasture) was the major source of sediment, contributing an average of 53 percent of the sediment for the 10 storm samples. Streambanks, unpaved roads, and forest contributions for the 10 storm samples averaged 30, 17, and 0 percent, respectively. Agriculture was the major contributor of sediment during the highest sampled stormflows. The highest stormflows also produced the highest total nitrogen and suspended-sediment loads.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125250","collaboration":"Prepared in cooperation with the Somerset County Conservation District","usgsCitation":"Sloto, R.A., Gellis, A., and Galeone, D.G., 2012, Total nitrogen and suspended-sediment loads and identification of suspended-sediment sources in the Laurel Hill Creek watershed, Somerset County, Pennsylvania, water years 2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5250, viii, 44 p., https://doi.org/10.3133/sir20125250.","productDescription":"viii, 44 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2009-10-01","temporalEnd":"2011-09-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":266902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5250.png"},{"id":266900,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5250/support/sir2012-5250-appendix4.xlsx"},{"id":266901,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5250/support/sir2012-5250-appendix5.xlsx"},{"id":266898,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5250/"},{"id":266899,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5250/support/sir2012-5250.pdf"}],"scale":"2000000","projection":"Albers Equal-Area Conic Projection","country":"United States","state":"Pennsylvania","county":"Fayette;Somerset","city":"Bakersville;Trent;Ursina","otherGeospatial":"Laurel Hill Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.416667,39.8 ], [ -79.416667,40.116667 ], [ -79.116667,40.116667 ], [ -79.116667,39.8 ], [ -79.416667,39.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510ce3f0e4b0ae2ee50d95ef","contributors":{"authors":[{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":472883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472884,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042449,"text":"70042449 - 2012 - Recent and historic sediment dynamics along Difficult Run, a suburban Virginia Piedmont stream","interactions":[],"lastModifiedDate":"2023-01-04T16:19:55.230557","indexId":"70042449","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Recent and historic sediment dynamics along Difficult Run, a suburban Virginia Piedmont stream","docAbstract":"Suspended sediment is one of the major concerns regarding the quality of water entering the Chesapeake Bay. Some of the highest suspended-sediment concentrations occur on Piedmont streams, including Difficult Run, a tributary of the Potomac River draining urban and suburban parts of northern Virginia. Accurate information on catchment level sediment budgets is rare and difficult to determine. Further, the sediment trapping portion of sediment budget represents an important ecosystem service that profoundly affects downstream water quality. Our objectives, with special reference to human alterations to the landscape, include the documentation and estimation of floodplain sediment trapping (present and historic) and bank erosion along an urbanized Piedmont stream, the construction of a preliminary sediment balance, and the estimation of legacy sediment and recent development impacts. We used white feldspar markers to measure floodplain sedimentation rates and steel pins to measure erosion rates on floodplains and banks, respectively. Additional data were collected for/from legacy sediment thickness and characteristics, mill pond impacts, stream gaging station records, topographic surveying, and sediment density, texture, and organic content. Data were analyzed using GIS and various statistical programs. Results are interpreted relative to stream equilibrium affected by both post-colonial bottomland sedimentation (legacy) and modern watershed hardening associated with urbanization. Six floodplain/channel sites, from high to low in the watershed, were selected for intensive study. Bank erosion ranges from 0 to 470 kg/m/y and floodplain sedimentation ranges from 18 to 1369 kg/m/y (m refers to meters of stream reach). Upstream reaches are net erosional, while downstream reaches have a distinctly net depositional flux providing a watershed sediment balance of 2184 kg/m/y trapped within the system. The amounts of both deposition and erosion are large and suggest nonequilibrium channel conditions. Both peak discharge and number of peaks above base have substantially increased since the mid-1960s when urbanization of the watershed began. Deposition patterns are most closely correlated with channel gradient, sinuosity, and channel width/floodplain width for recent and historic periods. The substantial amounts of fine grained sediment deposited on the floodplain over the past two centuries or so do not appear to be closely related to historic mill pond presence or location. The floodplain continues to provide the critical ecosystem service of sediment trapping in the face of multiple human alterations. Trends in sediment deposition/erosion may react rapidly to land use practices within the watershed and offer a valuable barometer of the effects of management actions.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2012.10.007","usgsCitation":"Hupp, C.R., Noe, G., Schenk, E.R., and Benthem, A.J., 2012, Recent and historic sediment dynamics along Difficult Run, a suburban Virginia Piedmont stream: Geomorphology, v. 180-181, 14 p., https://doi.org/10.1016/j.geomorph.2012.10.007.","productDescription":"14 p.","numberOfPages":"14","ipdsId":"IP-039432","costCenters":[],"links":[{"id":268541,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265421,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2012.10.007"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.293804,38.943012 ], [ -77.293804,38.962448 ], [ -77.287886,38.962448 ], [ -77.287886,38.943012 ], [ -77.293804,38.943012 ] ] ] } } ] }","volume":"180-181","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51308a98e4b04c194073ae37","contributors":{"authors":[{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":471560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042986,"text":"cir13815 - 2012 - Wildlife and biological resources: Chapter 5 in A synthesis of aquatic science for management of Lakes Mead and Mohave","interactions":[],"lastModifiedDate":"2013-02-06T14:51:22","indexId":"cir13815","displayToPublicDate":"2013-01-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1381-5","title":"Wildlife and biological resources: Chapter 5 in A synthesis of aquatic science for management of Lakes Mead and Mohave","docAbstract":"The creation of Lakes Mead and Mohave drastically changed habitats originally found along their region of the historical Colorado River. While still continuing to provide habitat conditions that support a rich diversity of species within the water, along shorelines, and in adjacent drainage areas, the reservoirs contain organisms that are both native and non-native to the Colorado River drainage (fig. 5-1). The diversity of species within these lakes continues to change with time due to changing habitat conditions, the invasion of non-native species, and extirpations of native species. From the bottom of the food web to the top predators, all organisms within the ecosystem are interconnected in food webs or food-chain networks. As non-native invasive species continue to be introduced into the lakes, alterations to the food web, species competition, and species predation likely will continue to change the ecosystem and populations of native organisms. Following an overview of the food web, this chapter summarizes information on aquatic and aquatic-dependent wildlife at Lakes Mead and Mohave and their relationships within the food web from members of lower trophic levels to the highest: phytoplankton, invertebrates, including zooplankton, and macroinvertebrates; fishes; and birds. The following sections describe the biological diversity, limiting factors, and ecological functions of these groups in Lake Mead, and to a lesser extent, in Lake Mohave.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13815","collaboration":"This report is Chapter 5 in A synthesis of aquatic science for management of Lakes Mead and Mohave. For more information, see: Circular 1381","usgsCitation":"Chandra, S., Abella, S.R., Albrecht, B.A., Barnes, J., Engel, E.C., Goodbred, S.L., Holden, P.B., Kegerries, R.B., Jaeger, J., Orsak, E., Rosen, M.R., Sjöberg, J., and Wong, W., 2012, Wildlife and biological resources: Chapter 5 in A synthesis of aquatic science for management of Lakes Mead and Mohave: U.S. Geological Survey Circular 1381-5, 36 p., https://doi.org/10.3133/cir13815.","productDescription":"36 p.","startPage":"69","endPage":"104","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":266738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1381_5.jpg"},{"id":266736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":266737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381.pdf"}],"otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.92,35.17 ], [ -114.92,36.59 ], [ -113.14,36.59 ], [ -113.14,35.17 ], [ -114.92,35.17 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef7ae4b0d965cd9f22dc","contributors":{"authors":[{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":472742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abella, Scott R.","contributorId":103940,"corporation":false,"usgs":true,"family":"Abella","given":"Scott","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albrecht, Brandon A.","contributorId":37613,"corporation":false,"usgs":true,"family":"Albrecht","given":"Brandon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, Joseph G.","contributorId":43646,"corporation":false,"usgs":true,"family":"Barnes","given":"Joseph G.","affiliations":[],"preferred":false,"id":472744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engel, E. Cayenne","contributorId":70264,"corporation":false,"usgs":true,"family":"Engel","given":"E.","email":"","middleInitial":"Cayenne","affiliations":[],"preferred":false,"id":472748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":472741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holden, Paul B.","contributorId":48180,"corporation":false,"usgs":true,"family":"Holden","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":472745,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kegerries, Ron B.","contributorId":55302,"corporation":false,"usgs":true,"family":"Kegerries","given":"Ron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":472747,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jaeger, Jef R.","contributorId":52855,"corporation":false,"usgs":true,"family":"Jaeger","given":"Jef R.","affiliations":[],"preferred":false,"id":472746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":472750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472740,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sjöberg, Jon","contributorId":77013,"corporation":false,"usgs":true,"family":"Sjöberg","given":"Jon","affiliations":[],"preferred":false,"id":472749,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wong, Wai Hing","contributorId":96977,"corporation":false,"usgs":true,"family":"Wong","given":"Wai Hing","affiliations":[],"preferred":false,"id":472751,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70042951,"text":"cir1381 - 2012 - A synthesis of aquatic science for management of Lakes Mead and Mohave","interactions":[{"subject":{"id":70042972,"text":"70042972 - 2012 - Introduction and summary of findings","indexId":"70042972","publicationYear":"2012","noYear":false,"chapter":"1","title":"Introduction and summary of findings"},"predicate":"IS_PART_OF","object":{"id":70042951,"text":"cir1381 - 2012 - A synthesis of aquatic science for management of Lakes Mead and Mohave","indexId":"cir1381","publicationYear":"2012","noYear":false,"title":"A synthesis of aquatic science for management of Lakes Mead and Mohave"},"id":1}],"lastModifiedDate":"2013-02-06T14:55:09","indexId":"cir1381","displayToPublicDate":"2013-01-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1381","title":"A synthesis of aquatic science for management of Lakes Mead and Mohave","docAbstract":"Lakes Mead and Mohave, which are the centerpieces of Lake Mead National Recreation Area, provide many significant benefits that have made the modern development of the Southwestern United States possible. Lake Mead is the largest reservoir by volume in the nation and it supplies critical storage of water supplies for more than 25 million people in three Western States (California, Arizona, and Nevada). Storage within Lake Mead supplies drinking water and the hydropower to provide electricity for major cities including Las Vegas, Phoenix, Los Angeles, Tucson, and San Diego, and irrigation of more than 2.5 million acres of croplands. Lake Mead is arguably the most important reservoir in the nation because of its size and the services it delivers to the Western United States. This Circular includes seven chapters. Chapter 1 provides a short summary of the overall findings and management implications for Lakes Mead and Mohave that can be used to guide the reader through the rest of the Circular. Chapter 2 introduces the environmental setting and characteristics of Lakes Mead and Mohave and provides a brief management context of the lakes within the Colorado River system as well as overviews of the geological bedrock and sediment accumulations of the lakes. Chapter 3 contains summaries of the operational and hydrologic characteristics of Lakes Mead and Mohave. Chapter 4 provides information on water quality, including discussion on the monitoring of contaminants and sediments within the reservoirs. Chapter 5 describes aquatic biota and wildlife, including food-web dynamics, plankton, invertebrates, fish, aquatic birds, and aquatic vegetation. Chapter 6 outlines threats and stressors to the health of Lake Mead aquatic ecosystems that include a range of environmental contaminants, invasive species, and climate change. Chapter 7 provides a more detailed summary of overall findings that are presented in Chapter 1; and it contains a more detailed discussion on associated management implications, additional research, and monitoring needs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1381","collaboration":"Prepared in cooperation with the National Park Service, U.S. Fish and Wildlife Service, Bureau of Reclamation, Nevada Department of Wildlife, Southern Nevada Water Authority, University of Nevada, Reno, and University of Nevada, Las Vegas","usgsCitation":"Rosen, M.R., Turner, K., Goodbred, S.L., and Miller, J.M., 2012, A synthesis of aquatic science for management of Lakes Mead and Mohave: U.S. Geological Survey Circular 1381, vi, 162 p.; 3 Figures, https://doi.org/10.3133/cir1381.","productDescription":"vi, 162 p.; 3 Figures","startPage":"i","endPage":"162","numberOfPages":"172","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":266705,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381_fig02-03.pdf"},{"id":266703,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":266704,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381.pdf"},{"id":266706,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381_fig02-04.pdf"},{"id":266707,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381_fig02-06.pdf"},{"id":266708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1381.jpg"}],"otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.1448,36.0397 ], [ -114.1448,36.2538 ], [ -113.9941,36.2538 ], [ -113.9941,36.0397 ], [ -114.1448,36.0397 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef5fe4b0d965cd9f22a8","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Kent","contributorId":11486,"corporation":false,"usgs":true,"family":"Turner","given":"Kent","email":"","affiliations":[],"preferred":false,"id":472660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":472659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Jennell M.","contributorId":104365,"corporation":false,"usgs":true,"family":"Miller","given":"Jennell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472661,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042989,"text":"cir13817 - 2012 - Management implications of the science: Chapter 7 in A synthesis of aquatic science for management of Lakes Mead and Mohave","interactions":[],"lastModifiedDate":"2013-02-06T14:53:54","indexId":"cir13817","displayToPublicDate":"2013-01-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1381-7","title":"Management implications of the science: Chapter 7 in A synthesis of aquatic science for management of Lakes Mead and Mohave","docAbstract":"Lake Mead, particularly its Boulder Basin, is one of the most intensively monitored reservoirs in the United States. With its importance to societal needs and ecosystem benefits, interest in water quality and water resources of Lake Mead will remain high. A number of agencies have authorities and management interests in Lake Mead and maintain individual agency monitoring programs. These programs were enhanced on an interagency basis from 2004 to 2012 to facilitate intensive monitoring in all major basins of the lake. Recognition that increasing stressors and influences in individual basins can affect water quality throughout Lake Mead and gave rise to an even stronger effort towards the development of holistic and effective interagency approaches. In 2010, agency monitoring programs were used to develop a management plan for water-dependent resources at Lake Mead National Recreation Area (LMNRA). The Long-Term Limnological and Aquatic Resource Monitoring and Research Plan for Lakes Mead and Mohave (the Plan; National Park Service, 2010) documented key management questions to be addressed through monitoring and research, and identified interagency strategic objectives for water quality and water-dependent resources. Moreover, the Plan provides a framework for summarizing water quality and water resource information in five resource categories: water quality and limnology; fish and aquatic biota; sediments; birds; and riparian vegetation. The Plan also addresses three stressors to lake resources: contaminants, invasive species, and climate change. For each of these topics, the current (2012) state of knowledge is summarized for LMNRA (table 7-1), including key scientific questions and findings, management implications, and information needs. A more detailed discussion for each topic follows.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13817","collaboration":"This report is Chapter 7 in A synthesis of aquatic science for management of Lakes Mead and Mohave. 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The national significance of the site’s recreational opportunities and scientific values led to its designation as the nation’s first National Recreation Area in 1964. The stark contrast of the deep blue lakes with spacious open water basins against a backdrop of mountain and canyon scenery creates a diversity of landscapes inviting recreation from the active to the contemplative (Maxon, 2009). The quality of the setting as a backdrop for the recreational experience has resulted in designation of approximately 200,000 acres of lands surrounding the lakes as wilderness (National Park Service, 2005).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13812","collaboration":"This report is Chapter 2 in A synthesis of aquatic science for management of Lakes Mead and Mohave. 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Possible impacts to aquatic ecosystems at Lake Mead National Recreation Area (LMNRA) are of particular concern because of the designation of Lakes Mead and Mohave as critical habitat for the federally listed endangered razorback sucker (Xyrauchen texanus), the significance of the sport fishery, and the regional importance of its habitats to more than 90 documented species of waterbirds. Potential threats to shoreline habitats are of concern not only for their ecosystem values but also for maintaining the recreational setting. Many areas adjacent to the shorelines of Lakes Mead and Mohave are designated wilderness areas. For purposes of this document, stressors are any chemical, biological, or physical agent that has a detrimental effect on aquatic ecosystems at the organism, population, or community level. Human-made stressors at Lakes Mead and Mohave include direct effects of recreation on the lakes, like boating and fishing, as well as indirect effects of activities away from the lakes, such as growing population and increasing urbanization. Common natural environmental stressors include extended changes in climate (precipitation or temperature), or the erosion, transport, and loading of chemical constituents in rocks and sediments to aquatic environments. Human activity also can exacerbate natural stressors in a variety of ways.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":6,"text":"USGS Unnumbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13816","collaboration":"This report is Chapter 6 in A synthesis of aquatic science for management of Lakes Mead and Mohave. 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The Bureau of Reclamation has the responsibility for management of this system, in coordination with the seven basin States, within a complex framework of law, regulations, compact, treaty, and policies often referred to collectively as the “Law of the River.” Lake Mead is a critical component of the overall Colorado River management, providing the capacity to store almost 2 years of the average runoff of the river.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13813","collaboration":"This report is Chapter 3 in A synthesis of aquatic science for management of Lakes Mead and Mohave. For more information, see: Circular 1381","usgsCitation":"Holdren, G.C., Tietjen, T., Turner, K., and Miller, J.M., 2012, Hydrology and management of Lakes Mead and Mohave within the Colorado River Basin: Chapter 3 in A synthesis of aquatic science for management of Lakes Mead and Mohave: U.S. Geological Survey Circular 1381-3, 12 p., https://doi.org/10.3133/cir13813.","productDescription":"12 p.","startPage":"23","endPage":"34","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":266726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1381_3.jpg"},{"id":266724,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":266725,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381.pdf"}],"otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.92,35.17 ], [ -114.92,36.59 ], [ -113.14,36.59 ], [ -113.14,35.17 ], [ -114.92,35.17 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef70e4b0d965cd9f22b4","contributors":{"authors":[{"text":"Holdren, G. Chris","contributorId":77817,"corporation":false,"usgs":true,"family":"Holdren","given":"G.","email":"","middleInitial":"Chris","affiliations":[],"preferred":false,"id":472709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tietjen, Todd","contributorId":56530,"corporation":false,"usgs":true,"family":"Tietjen","given":"Todd","email":"","affiliations":[],"preferred":false,"id":472708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Kent","contributorId":11486,"corporation":false,"usgs":true,"family":"Turner","given":"Kent","email":"","affiliations":[],"preferred":false,"id":472707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Jennell M.","contributorId":104365,"corporation":false,"usgs":true,"family":"Miller","given":"Jennell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042975,"text":"cir13814 - 2012 - Lake water quality: Chapter 4 in A synthesis of aquatic science for management of Lakes Mead and Mohave","interactions":[],"lastModifiedDate":"2013-02-06T14:50:04","indexId":"cir13814","displayToPublicDate":"2013-01-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1381-4","title":"Lake water quality: Chapter 4 in A synthesis of aquatic science for management of Lakes Mead and Mohave","docAbstract":"Given the importance of the availability and quality of water in Lake Mead, it has become one of the most intensely sampled and studied bodies of water in the United States. As a result, data are available from sampling stations across the lake (fig. 4-1 and see U.S. Geological Survey Automated Water-Quality Platforms) to provide information on past and current (2012) water-quality conditions and on invasive species that influence—and are affected by—water quality. Water quality in Lakes Mead and Mohave generally exceeds standards set by the State of Nevada to protect water supplies for public uses: drinking water, aquatic ecosystem health, recreation, or agricultural irrigation. In comparison to other reservoirs studied by the U.S. Environmental Protection Agency (USEPA) for a national lake assessment (U.S. Environmental Protection Agency, 2010), Lake Mead is well within the highest or ‘good’ category for recreation and aquatic health (see U.S. Environmental Protection Agency National Lakes Assessment and Lake Mead for more details). While a small part of the lake, particularly Las Vegas Bay, is locally influenced by runoff from urbanized tributaries such as Las Vegas Wash, contaminant loading in the lake as a whole is low compared to other reservoirs in the nation, which are influenced by runoff from more heavily urbanized watersheds (Rosen and Van Metre, 2010).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13814","collaboration":"This report is Chapter 4 in A synthesis of aquatic science for management of Lakes Mead and Mohave. For more information, see: Circular 1381","usgsCitation":"Tietjen, T., Holdren, G.C., Rosen, M.R., Veley, R.J., Moran, M.J., Vanderford, B., Wong, W., and Drury, D.D., 2012, Lake water quality: Chapter 4 in A synthesis of aquatic science for management of Lakes Mead and Mohave: U.S. Geological Survey Circular 1381-4, 34 p., https://doi.org/10.3133/cir13814.","productDescription":"34 p.","startPage":"35","endPage":"68","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":266733,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":266734,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381.pdf"},{"id":266735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1381_4.jpg"}],"otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.92,35.17 ], [ -114.92,36.59 ], [ -113.14,36.59 ], [ -113.14,35.17 ], [ -114.92,35.17 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef73e4b0d965cd9f22c0","contributors":{"authors":[{"text":"Tietjen, Todd","contributorId":56530,"corporation":false,"usgs":true,"family":"Tietjen","given":"Todd","email":"","affiliations":[],"preferred":false,"id":472715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holdren, G. Chris","contributorId":77817,"corporation":false,"usgs":true,"family":"Holdren","given":"G.","email":"","middleInitial":"Chris","affiliations":[],"preferred":false,"id":472716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veley, Ronald J. rjveley@usgs.gov","contributorId":4013,"corporation":false,"usgs":true,"family":"Veley","given":"Ronald","email":"rjveley@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":472713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Michael J. mjmoran@usgs.gov","contributorId":1047,"corporation":false,"usgs":true,"family":"Moran","given":"Michael","email":"mjmoran@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vanderford, Brett","contributorId":21837,"corporation":false,"usgs":true,"family":"Vanderford","given":"Brett","affiliations":[],"preferred":false,"id":472714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wong, Wai Hing","contributorId":96977,"corporation":false,"usgs":true,"family":"Wong","given":"Wai Hing","affiliations":[],"preferred":false,"id":472718,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drury, Douglas D.","contributorId":84642,"corporation":false,"usgs":true,"family":"Drury","given":"Douglas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":472717,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70042826,"text":"ofr20121231 - 2012 - Sampling history and 2009--2010 results for pesticides and inorganic constituents monitored by the Lake Wales Ridge Groundwater Network, central Florida","interactions":[],"lastModifiedDate":"2013-01-24T17:45:04","indexId":"ofr20121231","displayToPublicDate":"2013-01-24T00:00:00","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":"2012-1231","title":"Sampling history and 2009--2010 results for pesticides and inorganic constituents monitored by the Lake Wales Ridge Groundwater Network, central Florida","docAbstract":"The Lake Wales Ridge Monitoring (LWRM) Network was established to provide a long-term record of water quality of the surficial aquifer in one of the principal citrus-production areas of Florida. This region is underlain by sandy soils that contain minimal organic matter and are highly vulnerable to leaching of chemicals into the subsurface. This report documents the 1989 through May 2010 sampling history of the LWRM Network and summarizes monitoring results for 38 Network wells that were sampled during the period January 2009 through May 2010. During 1989 through May 2010, the Network’s citrus land-use wells were sampled intermittently to 1999, quarterly from April 1999 to October 2009, and thereafter quarterly to semiannually. The water-quality summaries in this report focus on the period January 2009 through May 2010, during which the Network’s citrus land-use wells were sampled six times and the non-citrus land-use wells were sampled two times. Within the citrus land-use wells sampled, a total of 13 pesticide compounds (8 parent pesticides and 5 degradates) were detected of the 37 pesticide compounds analyzed during this period. The most frequently detected compounds included demethyl norflurazon (83 percent of wells), norflurazon (79 percent), aldicarb sulfoxide (41 percent), aldicarb sulfone (38 percent), imidacloprid (38 percent), and diuron (28 percent). Agrichemical concentrations in samples from the citrus land-use wells during the 2009 through May 2010 period exceeded Federal drinking-water standards (maximum contaminant levels, MCLs) in 1.5 to 24 percent of samples for aldicarb and its degradates (sulfone and sulfoxide), and in 68 percent of the samples for nitrate. Florida statutes restrict the distance of aldicarb applications to drinking-water wells; however, these statutes do not apply to monitoring wells. Health-screening benchmark levels that identify unregulated chemicals of potential concern were exceeded for norflurazon and diuron in 29 and 7 percent, respectively, of the 2009–2010 samples. A comparison of agrichemical land-use effects on groundwater quality, determined on the basis of samples from LWRM Network wells in citrus and in non-citrus land-use areas, indicated significantly higher (p<0.05) concentrations of inorganic constituents in samples from citrus land-use areas compared to samples from non-citrus areas. These inorganic constituents include calcium, magnesium, chloride, sulfate, potassium, nitrate, aluminum, manganese, strontium, and total nitrogen, and also specific conductance, an indicator of total dissolved solutes in water. In addition to land use, including irrigation, site differences such as soils and groundwater reduction/oxidation conditions might have contributed to the differences in some of these constituents. Pesticide detections were primarily restricted to the citrus land-use wells, where 22 of 23 wells yielded pesticide detections, with a median of four detected pesticide compounds per well. For the non-citrus land-use wells, typically surrounded by mixed land use including developed and undeveloped land, one of the eight sampled wells yielded pesticide detections consisting of norflurazon and its degradate, and the source(s) of these detections might have been active or recently active citrus orchards in the vicinity of this well. Results from the LWRM Network during the 1989 through May 2010 period have provided early warning of chemicals prone to leaching, guidance for developing or modifying chemical usage practices to minimize impacts to groundwater, and a mechanism for prioritizing State sampling of domestic wells to assure safe drinking-water supplies. Given the typically long time period (years to tens of years or longer) required to remove chemical contamination once it enters the groundwater system, groundwater monitoring is important to protect drinking-water sources as well as the numerous lakes in this region, which are closely connected with the surficial aquifer. Long-term monitoring of the LWRM Network is planned to continue providing early warning of potential for groundwater contamination, and to assess spatial and temporal trends in water quality resulting from changes in pesticide-use patterns and in land use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121231","collaboration":"Prepared in cooperation with the Florida Department of Agriculture and Consumer Services, and the Southwest Florida Water Management District","usgsCitation":"Choquette, A., Freiwald, R.S., and Kraft, C.L., 2012, Sampling history and 2009--2010 results for pesticides and inorganic constituents monitored by the Lake Wales Ridge Groundwater Network, central Florida: U.S. Geological Survey Open-File Report 2012-1231, viii, 19 p.; Data Directory, https://doi.org/10.3133/ofr20121231.","productDescription":"viii, 19 p.; Data Directory","startPage":"i","endPage":"19","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-05-31","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":266444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1231.gif"},{"id":266443,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1231/data"},{"id":266441,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1231/"},{"id":266442,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1231/pdf/ofr2012-1231.pdf"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63,24.52 ], [ -87.63,31.0 ], [ -80.03,31.0 ], [ -80.03,24.52 ], [ -87.63,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51026629e4b0d4f5ea817c55","contributors":{"authors":[{"text":"Choquette, Anne F.","contributorId":98323,"corporation":false,"usgs":true,"family":"Choquette","given":"Anne F.","affiliations":[],"preferred":false,"id":472343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freiwald, R. Scott","contributorId":6344,"corporation":false,"usgs":true,"family":"Freiwald","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":472341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraft, Carol L.","contributorId":22218,"corporation":false,"usgs":true,"family":"Kraft","given":"Carol","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":472342,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042815,"text":"sir20125194 - 2012 - Methods to characterize environmental settings of stream and groundwater sampling sites for National Water-Quality Assessment","interactions":[],"lastModifiedDate":"2013-01-24T14:09:51","indexId":"sir20125194","displayToPublicDate":"2013-01-24T00:00:00","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":"2012-5194","title":"Methods to characterize environmental settings of stream and groundwater sampling sites for National Water-Quality Assessment","docAbstract":"Characterization of natural and anthropogenic features that define the environmental settings of sampling sites for streams and groundwater, including drainage basins and groundwater study areas, is an essential component of water-quality and ecological investigations being conducted as part of the U.S. Geological Survey's National Water-Quality Assessment program. Quantitative characterization of environmental settings, combined with physical, chemical, and biological data collected at sampling sites, contributes to understanding the status of, and influences on, water-quality and ecological conditions. To support studies for the National Water-Quality Assessment program, a geographic information system (GIS) was used to develop a standard set of methods to consistently characterize the sites, drainage basins, and groundwater study areas across the nation. This report describes three methods used for characterization-simple overlay, area-weighted areal interpolation, and land-cover-weighted areal interpolation-and their appropriate applications to geographic analyses that have different objectives and data constraints. In addition, this document records the GIS thematic datasets that are used for the Program's national design and data analyses.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125194","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Nakagaki, N., Hitt, K.J., Price, C.V., and Falcone, J., 2012, Methods to characterize environmental settings of stream and groundwater sampling sites for National Water-Quality Assessment: U.S. Geological Survey Scientific Investigations Report 2012-5194, iv, 56 p., https://doi.org/10.3133/sir20125194.","productDescription":"iv, 56 p.","numberOfPages":"65","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":266422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5194.jpg"},{"id":266421,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5194/pdf/sir20125194.pdf"},{"id":266420,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5194/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51026623e4b0d4f5ea817c31","contributors":{"authors":[{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitt, Kerie J.","contributorId":54565,"corporation":false,"usgs":true,"family":"Hitt","given":"Kerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Curtis V. 0000-0002-4315-3539 cprice@usgs.gov","orcid":"https://orcid.org/0000-0002-4315-3539","contributorId":983,"corporation":false,"usgs":true,"family":"Price","given":"Curtis","email":"cprice@usgs.gov","middleInitial":"V.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcone, James A.","contributorId":24044,"corporation":false,"usgs":true,"family":"Falcone","given":"James A.","affiliations":[],"preferred":false,"id":472323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042343,"text":"70042343 - 2012 - Sediment dynamics in the restored reach of the Kissimmee River Basin, Florida: A vast subtropical riparian wetland","interactions":[],"lastModifiedDate":"2013-03-07T10:33:12","indexId":"70042343","displayToPublicDate":"2013-01-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Sediment dynamics in the restored reach of the Kissimmee River Basin, Florida: A vast subtropical riparian wetland","docAbstract":"Historically, the Kissimmee River Basin consisted of a broad nearly annually inundated riparian wetland similar in character to tropical Southern Hemisphere large rivers. The river was channelized in the 1960s and 1970s, draining the wetland. The river is currently being restored with over 10 000 hectares of wetlands being reconnected to 70 river km of naturalized channel. We monitored riparian wetland sediment dynamics between 2007 and 2010 at 87 sites in the restored reach and 14 sites in an unrestored reference reach. Discharge and sediment transport were measured at the downstream end of the restored reach. There were three flooding events during the study, two as annual flood events and a third as a greater than a 5-year flood event. Restoration has returned periodic flood flow to the riparian wetland and provides a mean sedimentation rate of 11.3 mm per year over the study period in the restored reach compared with 1.7 mm per year in an unrestored channelized reach. Sedimentation from the two annual floods was within the normal range for alluvial Coastal Plain rivers. Sediment deposits consisted of over 20% organics, similar to eastern blackwater rivers. The Kissimmee River is unique in North America for its hybrid alluvial/blackwater nature. Fluvial suspended-sediment measurements for the three flood events indicate that a majority of the sediment (70%) was sand, which is important for natural levee construction. Of the total suspended sediment load for the three flood events, 3%–16% was organic and important in floodplain deposition. Sediment yield is similar to low-gradient rivers draining to the Chesapeake Bay and alluvial rivers of the southeastern USA. Continued monitoring should determine whether observed sediment transport and floodplain deposition rates are normal for this river and determine the relationship between historic vegetation community restoration, hydroperiod restoration, and sedimentation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1577","usgsCitation":"Schenk, E., Hupp, C., and Gellis, A., 2012, Sediment dynamics in the restored reach of the Kissimmee River Basin, Florida: A vast subtropical riparian wetland: River Research and Applications, v. 28, no. 10, p. 1753-1767, https://doi.org/10.1002/rra.1577.","productDescription":"15 p.","startPage":"1753","endPage":"1767","numberOfPages":"15","ipdsId":"IP-023195","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":266239,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1577"},{"id":268894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Kissimmee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.3,27.16 ], [ -81.3,27.83 ], [ -80.83,27.83 ], [ -80.83,27.16 ], [ -81.3,27.16 ] ] ] } } ] }","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"5139c4fce4b09608cc166b33","contributors":{"authors":[{"text":"Schenk, E.R.","contributorId":101911,"corporation":false,"usgs":true,"family":"Schenk","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":471346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, C.R. 0000-0003-1853-9197","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":78775,"corporation":false,"usgs":true,"family":"Hupp","given":"C.R.","affiliations":[],"preferred":false,"id":471345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, A.","contributorId":32680,"corporation":false,"usgs":true,"family":"Gellis","given":"A.","affiliations":[],"preferred":false,"id":471344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042678,"text":"ofr20121253 - 2012 - Low-flow frequency and flow duration of selected South Carolina streams in the Saluda, Congaree, and Edisto River basins through March 2009","interactions":[],"lastModifiedDate":"2016-12-08T16:33:28","indexId":"ofr20121253","displayToPublicDate":"2013-01-17T00:00:00","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":"2012-1253","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Saluda, Congaree, and Edisto River basins through March 2009","docAbstract":"Part of the mission of the South Carolina Department of Health and Environmental Control and the South Carolina Department of Natural Resources is to protect and preserve South Carolina's water resources. Doing so requires an ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina. A particular need is information concerning the low-flow characteristics of streams, which is especially important for effectively managing the State's water resources during critical flow periods, such as during periods of severe drought like South Carolina has experienced in the last decade or so. The U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study in 2008 to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 25 selected streamgaging stations in the Saluda, Congaree, and Edisto River basins in South Carolina, and includes flow durations for the 5-, 10-, 25-, 50-,75-, 90-, and 95-percent exceedances and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day average flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. The low-flow statistics were computed from records available through March 31, 2009. Of the 25 streamgaging stations for which recurrence interval computations were made, 20 were compared to low-flow statistics that were published in previous U.S. Geological Survey reports. A comparison of the low-flow statistics for the annual minimum 7-day average streamflow with a 10-year recurrence interval (7Q10) from this study with the most recently published values indicates that 18 of the 20 streamgaging stations have values lower than the previous published values. The low-flow statistics are influenced by length of record, hydrologic regime under which the record was collected, analytical techniques used, and other changes, such as urbanization, diversions, droughts, and so on, that may have occurred in the basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121253","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T., and Guimaraes, W.B., 2012, Low-flow frequency and flow duration of selected South Carolina streams in the Saluda, Congaree, and Edisto River basins through March 2009: U.S. Geological Survey Open-File Report 2012-1253, vi, 53 p., https://doi.org/10.3133/ofr20121253.","productDescription":"vi, 53 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":265798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1253.gif"},{"id":265797,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1253/pdf/ofr2012-1253.pdf"},{"id":265796,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1253/"}],"projection":"Universal Transverse Mercator projection, zone 17","country":"United States","state":"South Carolina","otherGeospatial":"Congaree River Basin, Edisto River Basin, and Saluda River 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Carolina\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d70e4b0727905955f20","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472039,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042675,"text":"sim3186 - 2012 - Geologic map of Three Sisters volcanic cluster, Cascade Range, Oregon","interactions":[],"lastModifiedDate":"2019-05-30T12:29:37","indexId":"sim3186","displayToPublicDate":"2013-01-17T00:00:00","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":"3186","title":"Geologic map of Three Sisters volcanic cluster, Cascade Range, Oregon","docAbstract":"The cluster of glaciated stratovolcanoes called the Three Sisters—South Sister, Middle Sister, and North Sister—forms a spectacular 20-km-long reach along the crest of the Cascade Range in Oregon. The three eponymous stratocones, though contiguous and conventionally lumped sororally, could hardly display less family resemblance. North Sister (10,085 ft), a monotonously mafic edifice at least as old as 120 ka, is a glacially ravaged stratocone that consists of hundreds of thin rubbly lava flows and intercalated falls that dip radially and steeply; remnants of two thick lava flows cap its summit. Middle Sister (10,047 ft), an andesite-basalt-dacite cone built between 48 and 14 ka, is capped by a thick stack of radially dipping, dark-gray, thin mafic lava flows; asymmetrically glaciated, its nearly intact west flank contrasts sharply with its steep east face. Snow and ice-filled South Sister is a bimodal rhyolitic-intermediate edifice that was constructed between 50 ka and 2 ka; its crater (rim at 10,358 ft) was created between 30 and 22 ka, during the most recent of several explosive summit eruptions; the thin oxidized agglutinate that mantles its current crater rim protects a 150-m-thick pyroclastic sequence that helped fill a much larger crater. For each of the three, the eruptive volume is likely to have been in the range of 15 to 25 km³, but such estimates are fairly uncertain, owing to glacial erosion. The map area consists exclusively of Quaternary volcanic rocks and derivative surficial deposits. Although most of the area has been modified by glaciation, the volcanoes are young enough that the landforms remain largely constructional. Furthermore, twelve of the 145 eruptive units on the map are postglacial, younger than the deglaciation that was underway by about 17 ka. The most recent eruptions were of rhyolite near South Sister, about 2,000 years ago, and of mafic magma near McKenzie Pass, about 1,500 years ago. As observed by trailblazing volcanologist, Howel Williams, \"For magnificence of glacial scenery, for wealth of recent lavas, and for graphic examples of dissected volcanoes, no part of this range surpasses the area embracing the Sisters and McKenzie Pass.\" Scientific and journalistic interest in the Three Sisters volcanic cluster was aroused a few years ago when ongoing uplift centered about 5 km west of South Sister was identified, first recognized by satellite imagery in 2001. Subsequent geodetic measurements and continuing satellite imagery analysis confirmed 3 to 4 cm/yr uplift during the interval from 1997 to 2004; the uplift has been modelled as inflation thought to be caused by an intracrustal intrusion, largely aseismic and plausibly involving mafic magma.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3186","usgsCitation":"Hildreth, W., Fierstein, J., and Calvert, A.T., 2012, Geologic map of Three Sisters volcanic cluster, Cascade Range, Oregon (Originally posted January 16, 2013; Revised August 13, 2013): U.S. Geological Survey Scientific Investigations Map 3186, Pamphlet: ii, 107 p.; 2 Sheets: 45.49 x 53.34 inches and 33.57 x 43.74 inches; Data to accompany the map, https://doi.org/10.3133/sim3186.","productDescription":"Pamphlet: ii, 107 p.; 2 Sheets: 45.49 x 53.34 inches and 33.57 x 43.74 inches; Data to accompany the map","numberOfPages":"111","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":265785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3186.gif"},{"id":278934,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3186/data/pdf/sim3186_sheet2.pdf"},{"id":278935,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3186/database.html"},{"id":278931,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3186/data/pdf/sim3186_pamphlet.pdf"},{"id":278932,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3186/data/pdf/sim3186_sheet1.pdf"},{"id":265784,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3186/"}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 10","datum":"North Amercian Datum 1927","country":"United States","state":"Oregon","otherGeospatial":"Broken Top;Cascade Range;Linton Lake;North Sister;South Sister;Three Sisters;Trout Creek Butte","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.96,44.0 ], [ -121.96,44.25 ], [ -121.625,44.25 ], [ -121.625,44.0 ], [ -121.96,44.0 ] ] ] } } ] }","edition":"Originally posted January 16, 2013; Revised August 13, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6ce4b0727905955f10","contributors":{"authors":[{"text":"Hildreth, Wes","contributorId":15996,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"","affiliations":[],"preferred":false,"id":472033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judy","contributorId":88337,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judy","email":"","affiliations":[],"preferred":false,"id":472034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":472032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042639,"text":"sir20125270 - 2012 - Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory, Idaho, 1996–2001","interactions":[],"lastModifiedDate":"2013-01-15T15:41:30","indexId":"sir20125270","displayToPublicDate":"2013-01-15T00:00:00","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":"2012-5270","title":"Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory, Idaho, 1996–2001","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, collects surface water and groundwater samples at and near the Idaho National Laboratory as part of a routine, site-wide, water-quality monitoring program. Quality-control samples are collected as part of the program to ensure and document the quality of environmental data. From 1996 to 2001, quality-control samples consisting of 204 replicates and 27 blanks were collected at sampling sites. Paired measurements from replicates were used to calculate variability (as reproducibility and reliability) from sample collection and analysis of radiochemical, chemical, and organic constituents. Measurements from field and equipment blanks were used to estimate the potential contamination bias of constituents. The reproducibility of measurements of constituents was calculated from paired measurements as the normalized absolute difference (NAD) or the relative standard deviation (RSD). The NADs and RSDs, as well as paired measurements with censored or estimated concentrations for which NADs and RSDs were not calculated, were compared to specified criteria to determine if the paired measurements had acceptable reproducibility. If the percentage of paired measurements with acceptable reproducibility for a constituent was greater than or equal to 90 percent, then the reproducibility for that constituent was considered acceptable. The percentage of paired measurements with acceptable reproducibility was greater than or equal to 90 percent for all constituents except orthophosphate (89 percent), zinc (80 percent), hexavalent chromium (53 percent), and total organic carbon (TOC; 38 percent). The low reproducibility for orthophosphate and zinc was attributed to calculation of RSDs for replicates with low concentrations of these constituents. The low reproducibility for hexavalent chromium and TOC was attributed to the inability to preserve hexavalent chromium in water samples and high variability with the analytical method for TOC. The reliability of measurements of constituents was estimated from pooled RSDs that were calculated for discrete concentration ranges for each constituent. Pooled RSDs of 15 to 33 percent were calculated for low concentrations of gross-beta radioactivity, strontium-90, ammonia, nitrite, orthophosphate, nickel, selenium, zinc, tetrachloroethene, and toluene. Lower pooled RSDs of 0 to 12 percent were calculated for all other concentration ranges of these constituents, and for all other constituents, except for one concentration range for gross-beta radioactivity, chloride, and nitrate + nitrite; two concentration ranges for hexavalent chromium; and TOC. Pooled RSDs for the 50 to 60 picocuries per liter concentration range of gross-beta radioactivity (reported as cesium-137) and the 10 to 60 milligrams per liter (mg/L) concentration range of nitrate + nitrite (reported as nitrogen [N]) were 17 percent. Chloride had a pooled RSD of 14 percent for the 20 to less than 60 mg/L concentration range. High pooled RSDs of 40 and 51 percent were calculated for two concentration ranges for hexavalent chromium and of 60 percent for TOC. Measurements from (1) field blanks were used to estimate the potential bias associated with environmental samples from sample collection and analysis, (2) equipment blanks were used to estimate the potential bias from cross contamination of samples collected from wells where portable sampling equipment was used, and (3) a source-solution blank was used to verify that the deionized water source-solution was free of the constituents of interest. If more than one measurement was available, the bias was estimated using order statistics and the binomial probability distribution. The source-solution blank had a detectable concentration of hexavalent chromium of 2 micrograms per liter. If this bias was from a source other than the source solution, then about 84 percent of the 117 hexavalent chromium measurements from environmental samples could have a bias of 10 percent or more. Of the 14 field blanks that were collected, only chloride (0.2 milligrams per liter) and ammonia (0.03 milligrams per liter as nitrogen), in one blank each, had detectable concentrations. With an estimated confidencelevel of 95 percent, at least 80 percent of the 1,987 chloride concentrations measured from all environmental samples had a potential bias of less than 8 percent. The ammonia bias, which may have occurred at the analytical laboratory, could produce a potential bias of 5-100 percent in eight potentially affected ammonia measurements. Of the 11 equipment blanks that were collected, chloride was detected in 4 of these blanks, sodium in 3 blanks, and sulfate and hexavalent chromium were each detected in 1 blank. The concentration of hexavalent chromium in the equipment blank was the same concentration as in the source-solution blank collected on the same day, which indicates that the hexavalent chromium in the equipment blank is probably from a source other than the portable sampling equipment, such as the sample bottles or the source-solution water itself. The potential bias for chloride, sodium, and sulfate measurements was estimated for environmental samples that were collected using portable sampling equipment. For chloride, it was estimated with 93 percent confidence that at least 80 percent of the measurements had a bias of less than 18 percent. For sodium and sulfate, it was estimated with 91 percent confidence that at least 70 percent of the measurements had a bias of less than 12 and 5 percent, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125270","collaboration":"Prepared in cooperation with the U.S. Department of Energy DOE/ID-22222","usgsCitation":"Rattray, G.W., 2012, Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory, Idaho, 1996–2001: U.S. Geological Survey Scientific Investigations Report 2012-5270, vi, 74 p., https://doi.org/10.3133/sir20125270.","productDescription":"vi, 74 p.","numberOfPages":"84","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":265728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5270.jpg"},{"id":265726,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5270/"},{"id":265727,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5270/pdf/sir20125270.pdf"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.11,41.99 ], [ -115.11,45.20 ], [ -111.04,45.20 ], [ -111.04,41.99 ], [ -115.11,41.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f67a5fe4b0f5392eb7e758","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471950,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042592,"text":"sir20125244 - 2012 - Comparison of two regression-based approaches for determining nutrient and sediment fluxes and trends in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2021-07-06T23:06:27.687094","indexId":"sir20125244","displayToPublicDate":"2013-01-14T00:00:00","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":"2012-5244","title":"Comparison of two regression-based approaches for determining nutrient and sediment fluxes and trends in the Chesapeake Bay watershed","docAbstract":"Nutrient and sediment fluxes and changes in fluxes over time are key indicators that water resource managers can use to assess the progress being made in improving the structure and function of the Chesapeake Bay ecosystem. The U.S. Geological Survey collects annual nutrient (nitrogen and phosphorus) and sediment flux data and computes trends that describe the extent to which water-quality conditions are changing within the major Chesapeake Bay tributaries. Two regression-based approaches were compared for estimating annual nutrient and sediment fluxes and for characterizing how these annual fluxes are changing over time. The two regression models compared are the traditionally used ESTIMATOR and the newly developed Weighted Regression on Time, Discharge, and Season (WRTDS). The model comparison focused on answering three questions: (1) What are the differences between the functional form and construction of each model? (2) Which model produces estimates of flux with the greatest accuracy and least amount of bias? (3) How different would the historical estimates of annual flux be if WRTDS had been used instead of ESTIMATOR? One additional point of comparison between the two models is how each model determines trends in annual flux once the year-to-year variations in discharge have been determined. All comparisons were made using total nitrogen, nitrate, total phosphorus, orthophosphorus, and suspended-sediment concentration data collected at the nine U.S. Geological Survey River Input Monitoring stations located on the Susquehanna, Potomac, James, Rappahannock, Appomattox, Pamunkey, Mattaponi, Patuxent, and Choptank Rivers in the Chesapeake Bay watershed.
\nTwo model characteristics that uniquely distinguish ESTIMATOR and WRTDS are the fundamental model form and the determination of model coefficients. ESTIMATOR and WRTDS both predict water-quality constituent concentration by developing a linear relation between the natural logarithm of observed constituent concentration and three explanatory variables—the natural log of discharge, time, and season. ESTIMATOR uses two additional explanatory variables—the square of the log of discharge and time-squared. Both models determine coefficients for variables for a series of estimation windows. ESTIMATOR establishes variable coefficients for a series of 9-year moving windows; all observed constituent concentration data within the 9-year window are used to establish each coefficient. Conversely, WRTDS establishes variable coefficients for each combination of discharge and time using only observed concentration data that are similar in time, season, and discharge to the day being estimated. As a result of these distinguishing characteristics, ESTIMATOR reproduces concentration-discharge relations that are closely approximated by a quadratic or linear function with respect to both the log of discharge and time. Conversely, the linear model form of WRTDS coupled with extensive model windowing for each combination of discharge and time allows WRTDS to reproduce observed concentration-discharge relations that are more sinuous in form.
\nAnother distinction between ESTIMATOR and WRTDS is the reporting of uncertainty associated with the model estimates of flux and trend. ESTIMATOR quantifies the standard error of prediction associated with the determination of flux and trends. The standard error of prediction enables the determination of the 95-percent confidence intervals for flux and trend as well as the ability to test whether the reported trend is significantly different from zero (where zero equals no trend). Conversely, WRTDS is unable to propagate error through the many (over 5,000) models for unique combinations of flow and time to determine a total standard error. As a result, WRTDS flux estimates are not reported with confidence intervals and a level of significance is not determined for flow-normalized fluxes.
\nThe differences between ESTIMATOR and WRTDS, with regard to model form and determination of model coefficients, have an influence on the determination of nutrient and sediment fluxes and associated changes in flux over time as a result of management activities. The comparison between the model estimates of flux and trend was made for combinations of five water-quality constituents at nine River Input Monitoring stations.
\nThe major findings with regard to nutrient and sediment fluxes are as follows: (1)WRTDS produced estimates of flux for all combinations that were more accurate, based on reduction in root mean squared error, than flux estimates from ESTIMATOR; (2) for 67 percent of the combinations, WRTDS and ESTIMATOR both produced estimates of flux that were minimally biased compared to observed fluxes(flux bias = tendency to over or underpredict flux observations); however, for 33 percent of the combinations, WRTDS produced estimates of flux that were considerably less biased (by at least 10 percent) than flux estimates from ESTIMATOR; (3) the average percent difference in annual fluxes generated by ESTIMATOR and WRTDS was less than 10 percent at 80 percent of the combinations; and (4) the greatest differences related to flux bias and annual fluxes all occurred for combinations where the pattern in observed concentration-discharge relation was sinuous (two points of inflection) rather than linear or quadratic (zero or one point of inflection).
\nThe major findings with regard to trends are as follows: (1) both models produce water-quality trends that have factored in the year-to-year variations in flow; (2) trends in water-quality condition are represented by ESTIMATOR as a trend in flow-adjusted concentration and by WRTDS as a flow normalized flux; (3) for 67 percent of the combinations with trend estimates, the WRTDS trends in flow-normalized flux are in the same direction and magnitude to the ESTIMATOR trends in flow-adjusted concentration, and at the remaining 33 percent the differences in trend magnitude and direction are related to fundamental differences between concentration and flux; and (4) the majority (85 percent) of the total nitrogen, nitrate, and orthophosphorus combinations exhibited long-term (1985 to 2010) trends in WRTDS flow-normalized flux that indicate improvement or reduction in associated flux and the majority (83 percent) of the total phosphorus (from 1985 to 2010) and suspended sediment (from 2001 to 2010) combinations exhibited trends in WRTDS flow-normalized flux that indicate degradation or increases in the flux delivered.
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Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hyer, Kenneth kenhyer@usgs.gov","contributorId":2701,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471903,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042529,"text":"pp1796 - 2012 - An economic value of remote-sensing information—Application to agricultural production and maintaining groundwater quality","interactions":[],"lastModifiedDate":"2013-01-11T08:19:30","indexId":"pp1796","displayToPublicDate":"2013-01-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1796","title":"An economic value of remote-sensing information—Application to agricultural production and maintaining groundwater quality","docAbstract":"Does remote-sensing information provide economic benefits to society, and can a value be assigned to those benefits? Can resource management and policy decisions be better informed by coupling past and present Earth observations with groundwater nitrate measurements? Using an integrated assessment approach, the U.S. Geological Survey (USGS) applied an established conceptual framework to answer these questions, as well as to estimate the value of information (VOI) for remote-sensing imagery. The approach uses moderate-resolution land-imagery (MRLI) data from the Landsat and Advanced Wide Field Sensor satellites that has been classified by the National Agricultural Statistics Service into the Cropland Data Layer (CDL). Within the constraint of the U.S. Environmental Protection Agency's public health threshold for potable groundwater resources, the USGS modeled the relation between a population of the CDL's land uses and dynamic nitrate (NO3-) contamination of aquifers in a case study region in northeastern Iowa. Employing various multiscaled, multitemporal geospatial datasets with MRLI to maximize the value of agricultural production, the approach develops and uses multiple environmental science models to address dynamic nitrogen loading and transport at specified distances from specific sites (wells) and at landscape scales (for example, across 35 counties and two aquifers). In addition to the ecosystem service of potable groundwater, this effort focuses on the use of MRLI for the management of the major land uses in the study region-the production of corn and soybeans, which can impact groundwater quality. Derived methods and results include (1) economic and dynamic nitrate-pollution models, (2) probabilities of the survival of groundwater, and (3) a VOI for remote sensing. For the northeastern Iowa study region, the marginal benefit of the MRLI VOI (in 2010 dollars) is $858 million ±$197 million annualized, which corresponds to a net present value of $38.1 billion ±$8.8 billion for that flow of benefits in perpetuity. Given that these economic estimates are derived from one case study in a part of only one State, the estimates provide a lower estimate related to the potential value of the Landsat Data Continuity Mission.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1796","usgsCitation":"Forney, W.M., Raunikar, R.P., Bernknopf, R.L., and Mishra, S.K., 2012, An economic value of remote-sensing information—Application to agricultural production and maintaining groundwater quality: U.S. Geological Survey Professional Paper 1796, vii, 60 p., https://doi.org/10.3133/pp1796.","productDescription":"vii, 60 p.","numberOfPages":"72","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1796.gif"},{"id":265536,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1796/pp1796.pdf"},{"id":265535,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1796/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f1345fe4b0c982afefa869","contributors":{"authors":[{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raunikar, Ronald P.","contributorId":101535,"corporation":false,"usgs":true,"family":"Raunikar","given":"Ronald","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernknopf, Richard L.","contributorId":97061,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mishra, Shruti K.","contributorId":21432,"corporation":false,"usgs":true,"family":"Mishra","given":"Shruti","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":471704,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}