{"pageNumber":"1495","pageRowStart":"37350","pageSize":"25","recordCount":184617,"records":[{"id":70046967,"text":"70046967 - 2013 - A kinematic model for the formation of the Siletz-Crescent forearc terrane by capture of coherent fragments of the Farallon and Resurrection plates","interactions":[],"lastModifiedDate":"2019-07-10T14:16:01","indexId":"70046967","displayToPublicDate":"2013-07-11T09:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"A kinematic model for the formation of the Siletz-Crescent forearc terrane by capture of coherent fragments of the Farallon and Resurrection plates","docAbstract":"The volcanic basement of the Oregon and Washington Coast ranges has been proposed to represent a pair of tracks of the Yellowstone hotspot formed at a mid-ocean ridge during the early Cenozoic. This interpretation has been questioned on many grounds, especially that the range of ages does not match the offshore spreading rates and that the presence of continental coarse clastic sediments is difficult to reconcile with fast convergence rates between the oceanic plates and North America. Updates to basement geochronology and plate motion history reveal that these objections are much less serious than when they were first raised. Forward plate kinematic modeling reveals that predicted basement ages can be consistent with the observed range of about 55–49 Ma, and that the entire basement terrane can form within about 300 km of continental sources for clastic sediments. This kinematic model indicates that there is no firm reason to reject the near-ridge hotspot hypothesis on the basis of plate motions. A novel element of the model is the Resurrection plate, previously proposed to exist between the Farallon and Kula plates. By including the defunct Resurrection plate in our reconstruction, we are able to model the Farallon hotspot track as docking against the Oregon subduction margin starting about 53 Ma, followed by docking of the Resurrection track to the north starting about 48 Ma. Accretion of the Farallon plate fragment and partial subduction of the Resurrection fragment complicates the three-dimensional structure of the modern Cascadia forearc. We interpret the so-called “E” layer beneath Vancouver Island to be part of the Resurrection fragment. Our new kinematic model of mobile terranes within the Paleogene North American plate boundary allows reinterpretation of the three-dimensional structure of the Cascadia forearc and its relationship to ongoing seismotectonic processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/tect.20045","usgsCitation":"McCrory, P.A., and Wilson, D.S., 2013, A kinematic model for the formation of the Siletz-Crescent forearc terrane by capture of coherent fragments of the Farallon and Resurrection plates: Tectonics, v. 32, no. 3, p. 718-736, https://doi.org/10.1002/tect.20045.","productDescription":"19 p.","startPage":"718","endPage":"736","ipdsId":"IP-037798","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tect.20045","text":"Publisher Index Page"},{"id":274849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274848,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/tect.20045"}],"country":"United States","state":"Washington;Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.0,41.99 ], [ -130.0,49.0 ], [ -116.46,49.0 ], [ -116.46,41.99 ], [ -130.0,41.99 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"51dfc5d2e4b0d332bf22f329","contributors":{"authors":[{"text":"McCrory, Patricia A. 0000-0003-2471-0018 pmccrory@usgs.gov","orcid":"https://orcid.org/0000-0003-2471-0018","contributorId":2728,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","email":"pmccrory@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":480726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Douglas S.","contributorId":68782,"corporation":false,"usgs":true,"family":"Wilson","given":"Douglas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046969,"text":"cir1391 - 2013 - The quality of our Nation’s waters--ecological health in the Nation's streams, 1993-2005","interactions":[],"lastModifiedDate":"2013-07-11T08:55:34","indexId":"cir1391","displayToPublicDate":"2013-07-11T08:47:00","publicationYear":"2013","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":"1391","title":"The quality of our Nation’s waters--ecological health in the Nation's streams, 1993-2005","docAbstract":"This report summarizes a national assessment of the ecological health of streams done by the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA). Healthy functioning stream ecosystems provide society with many benefits, including water purification, flood control, nutrient recycling, waste decomposition, fisheries, and aesthetics. The value to society of many of these benefits is substantial; for example, sportfishing in the United States generates an estimated annual economic output of $125 billion, including more than 1 million jobs (National Research Council, 2005; American Sportfishing Association, 2008). Continued monitoring and assessment of the Nation’s streams is needed to support informed decisions that will safeguard this important natural and economic resource.\n\nThe quality of streams and rivers is often assessed with measures of the chemical or physical properties of water. However, a more comprehensive perspective is obtained if resident biological communities are also assessed. Guidelines to protect human health and aquatic life have been established for specific physical and chemical properties of water and have become useful yardsticks with which to assess water quality. Biological communities provide additional crucial information because they live within streams for weeks to years and therefore integrate through time the effects of changes to their chemical or physical environment. In addition, biological communities are a direct measure of stream health—an indicator of the ability of a stream to support aquatic life. Thus, the condition of biological communities, integrated with key physical and chemical properties, provides a comprehensive assessment of stream health.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1391","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Carlisle, D.M., Meador, M., Short, T.M., Tate, C.M., Gurtz, M.E., Bryant, W., Falcone, J., and Woodside, M., 2013, The quality of our Nation’s waters--ecological health in the Nation's streams, 1993-2005: U.S. Geological Survey Circular 1391, vii, 120 p., https://doi.org/10.3133/cir1391.","productDescription":"vii, 120 p.","numberOfPages":"132","additionalOnlineFiles":"N","temporalStart":"1993-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":274847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1391.jpg"},{"id":274845,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1391/"},{"id":274846,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1391/pdf/circ1391.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dce4b0d332bf22f34f","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":480733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meador, Michael R. mrmeador@usgs.gov","contributorId":615,"corporation":false,"usgs":true,"family":"Meador","given":"Michael R.","email":"mrmeador@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":480734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Short, Terry M. 0000-0001-9941-4593 tmshort@usgs.gov","orcid":"https://orcid.org/0000-0001-9941-4593","contributorId":1718,"corporation":false,"usgs":true,"family":"Short","given":"Terry","email":"tmshort@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":480735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Cathy M. cmtate@usgs.gov","contributorId":3438,"corporation":false,"usgs":true,"family":"Tate","given":"Cathy","email":"cmtate@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":480739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gurtz, Martin E. megurtz@usgs.gov","contributorId":2987,"corporation":false,"usgs":true,"family":"Gurtz","given":"Martin","email":"megurtz@usgs.gov","middleInitial":"E.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":480738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bryant, Wade L. Jr. wbbryant@usgs.gov","contributorId":1777,"corporation":false,"usgs":true,"family":"Bryant","given":"Wade L.","suffix":"Jr.","email":"wbbryant@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":480736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Falcone, James A.","contributorId":24044,"corporation":false,"usgs":true,"family":"Falcone","given":"James A.","affiliations":[],"preferred":false,"id":480740,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodside, Michael D. mdwoodsi@usgs.gov","contributorId":2903,"corporation":false,"usgs":true,"family":"Woodside","given":"Michael D.","email":"mdwoodsi@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":480737,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70046944,"text":"70046944 - 2013 - Detection of Mycoplasma agassizii in the Texas Tortoise (Gopherus berlandieri)","interactions":[],"lastModifiedDate":"2015-06-03T16:51:47","indexId":"70046944","displayToPublicDate":"2013-07-11T08:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Detection of Mycoplasma agassizii in the Texas Tortoise (Gopherus berlandieri)","docAbstract":"

Mycoplasma agassizii causes upper respiratory tract disease (URTD) in Texas tortoises (Gopherus berlandieri). To determine exposure to and shedding of M. agassizii, we collected blood samples and nasal swabs from 40 free-ranging Texas tortoises on public and private lands in Texas, USA, from May to October 2009. We used an enzyme-linked immunosorbent assay (ELISA) to detect M. agassizii–specific antibodies. Eleven (28%) tortoises were antibody positive, three (8%) were suspect, and the remaining 26 (65%) were negative. Nasal lavage samples were collected from 35 of the 40 tortoises for M. agassizii culture and PCR to detect shedding of M. agassizii. Current infection with M. agassizii was confirmed in one tortoise that had mild clinical signs of URTD and was positive by ELISA (antibody titer >512), PCR, and culture. The clinical isolate was confirmed as M. agassizii by restriction fragment length polymorphism and immunobinding.

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Amanda L.","contributorId":70271,"corporation":false,"usgs":true,"family":"Guthrie","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":480657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Mary B.","contributorId":48072,"corporation":false,"usgs":false,"family":"Brown","given":"Mary B.","affiliations":[],"preferred":false,"id":480659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"deMaar, Thomas W.","contributorId":12758,"corporation":false,"usgs":true,"family":"deMaar","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046968,"text":"ofr20131135 - 2013 - Hydrologic conditions in New Hampshire and Vermont, water year 2011","interactions":[],"lastModifiedDate":"2013-07-11T06:55:38","indexId":"ofr20131135","displayToPublicDate":"2013-07-11T06:45:07","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1135","title":"Hydrologic conditions in New Hampshire and Vermont, water year 2011","docAbstract":"Record-high hydrologic conditions in New Hampshire and Vermont occurred during water year 2011, according to data from 125 streamgages and lake gaging stations, 27 creststage gages, and 41 groundwater wells. Annual runoff for the 2011 water year was the sixth highest on record for New Hampshire and the highest on record for Vermont on the basis of a 111-year reference period (water years 1901–2011). Groundwater levels for the 2011 water year were generally normal in New Hampshire and normal to above normal in Vermont. Record flooding occurred in April, May, and August of water year 2011. Peak-of-record streamflows were recorded at 38 streamgages, 25 of which had more than 10 years of record. Flooding in April 2011 was widespread in parts of northern New Hampshire and Vermont; peak-of-record streamflows were recorded at nine streamgages. Flash flooding in May 2011 was isolated to central and northeastern Vermont; peakof- record streamflows were recorded at five streamgages. Devastating flooding in August 2011 occurred throughout most of Vermont and in parts of New Hampshire as a result of the heavy rains associated with Tropical Storm Irene. Peak-ofrecord streamflows were recorded at 24 streamgages.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131135","collaboration":"Prepared in cooperation with the States of New Hampshire and Vermont and with other agencies","usgsCitation":"Kiah, R.G., Jarvis, J.D., Hegemann, R.F., Hilgendorf, G.S., and Ward, S.L., 2013, Hydrologic conditions in New Hampshire and Vermont, water year 2011: U.S. Geological Survey Open-File Report 2013-1135, vi, 38 p., https://doi.org/10.3133/ofr20131135.","productDescription":"vi, 38 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":274842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131135.gif"},{"id":274840,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1135/"},{"id":274841,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1135/pdf/ofr2013-1135_report_508.pdf"}],"country":"United States","state":"New Hampshire;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.4305,42.7268 ], [ -73.4305,45.3055 ], [ -70.6014,45.3055 ], [ -70.6014,42.7268 ], [ -73.4305,42.7268 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dce4b0d332bf22f347","contributors":{"authors":[{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarvis, Jason D. jdjarvis@usgs.gov","contributorId":5146,"corporation":false,"usgs":true,"family":"Jarvis","given":"Jason","email":"jdjarvis@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":480731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hegemann, Robert F. hegemann@usgs.gov","contributorId":5145,"corporation":false,"usgs":true,"family":"Hegemann","given":"Robert","email":"hegemann@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":480730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hilgendorf, Gregory S. gshilgen@usgs.gov","contributorId":5144,"corporation":false,"usgs":true,"family":"Hilgendorf","given":"Gregory","email":"gshilgen@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":480729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, Sanborn L. sward@usgs.gov","contributorId":5147,"corporation":false,"usgs":true,"family":"Ward","given":"Sanborn","email":"sward@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043959,"text":"70043959 - 2013 - Snake River fall Chinook salmon life history investigations: Annual report 2011 (April 2011 - March 2012)","interactions":[],"lastModifiedDate":"2016-05-04T12:28:01","indexId":"70043959","displayToPublicDate":"2013-07-11T06:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Snake River fall Chinook salmon life history investigations: Annual report 2011 (April 2011 - March 2012)","docAbstract":"

Executive Summary

\n

Chapter One – This chapter was published in the Transactions of the American Fisheries Society in 2012. We conducted a three-year radiotelemetry study in the lower Snake River to answer the questions: do fall Chinook salmon juveniles pass dams during winter when bypass systems and structures designed to prevent mortality are not operated; does downstream movement rate vary annually, seasonally, and from reservoir to reservoir; and, what are some of the factors that contribute to annual, seasonal, and spatial variation in downstream movement rate? Fall Chinook salmon juveniles moved downstream up to 169 km and fast enough (7.5 km/d) such that large percentages (up to 93%) of the fish passed one or more dams during winter. Mean downstream movement rate varied annually (9.2-11.3 km/d), increased from winter (7.5 km/d) to spring (16.4 km/d), and increased (6.9-16.8 km/d) as fish moved downstream from reservoir to reservoir. Fish condition factor at tagging explained some of the annual variation (P≤ 0.01) in downstream movement rate, whereas water particle velocity (P≤0.0001) and temperature (P≤0.0001) explained portions of the seasonal variation. An increase in migrational disposition as fish moved downstream helped explain the spatial variation (P=0.05-0.07). The potential cost of winter movement might be reduced survival due to turbine passage when the bypass systems and spillway passage structures are not operated. Efforts to understand and increase passage survival of winter migrants in large impoundments might help to rehabilitate some imperiled anadromous salmonid populations.

\n

Chapter Two – Natural juvenile fall Chinook salmon in the Snake and Clearwater rivers exhibit two life history strategies. “Ocean-type” fish migrate out to the ocean in their first summer of life as subyearlings, but “reservoir-type” fish delay seaward migration during the summer, and some overwinter in reservoirs before continuing their migration the following spring as yearlings. Earlier emerging fish produced in the Snake River tend to adopt the ocean-type life history whereas many of the later emerging fish from the Clearwater River tend to adopt the reservoirtype life history. The underlying cause of the reservoir-type life history is poorly understood, but we believe there may be link to physiological development. We used traditional markers of the parr-smolt transformation (smoltification), including gill Na+/K+-ATPase activity and thyroid hormone levels, along with gene expression microarrays to assess the development of ocean-type juvenile fall Chinook salmon and then compared it to that of juvenile fall Chinook salmon from the Clearwater River. We showed that parr in the Snake River are physiologically distinct from actively-migrating smolts but smolts migrating early and late in the summer and fall are physiologically similar. Juvenile fall Chinook salmon collected from the Clearwater River were similar in size to early-migrating smolts in the Snake River but were most physiologically similar to Snake River parr. Genes differentially expressed between Snake River parr and smolts and between fish from the Clearwater River and smolts from the Snake River were involved in the cell cycle, steroid metabolism and other metabolic pathways, and DNA repair and packaging. Many of the genes differentially expressed in these comparisons had expression patterns that correlated with gill Na+/K+-ATPase activity, suggesting that they were related to smoltification and migration status.

\n

Chapter Three – Natural subyearlings produced in the Clearwater River are exposed to cool (~10-12°C) temperatures when water is released from Dworshak Reservoir for summer flow augmentation. Total dissolved gas (TDG) levels range from 100-110% in the lower Clearwater iv River. When fish move into the Snake River, they encounter temperatures up to 24°C at the surface which have the potential to incur gas bubble disease (GBD) in fish as dissolved gases in their bodies expand under warmer temperatures. This may result in both direct and indirect mortality, but this situation has been little studied. We conducted laboratory experiments to examine subyearling mortality rates and incidence and severity of GBD in fish that were moved between waters that varied in TDG and temperature. Fish experienced significant mortality only at temperatures of 25°C, which increased with exposure time. However there was no significance difference in mortality between fish acclimated to 100% TDG and 110% TDG. Fish that died did show signs of GBD. Generally, signs of GBD such as bubbles in the lateral line and unpaired fins were higher in fish acclimated at 110% TDG than in fish acclimated at 100% TDG, but there were few trends related to exposure temperature. Field measurements of TDG showed that TDG ranged from about 100% to 122.5% at some locations. Generally, TDG fluctuated daily, up to 8% during August and early September, and was highest late in the afternoon and lowest in the early morning. Laboratory results and field monitoring demonstrated that emigrating juvenile salmon can potentially be at risk from elevated temperatures, TDG, and GBD albeit to an unknown extent, which may increase their vulnerability to predation.

\n

Chapter Four – We conducted monthly beam trawling in Lower Granite and Little Goose reservoirs to describe the seasonal abundance of benthic epifauna that are potentially important as prey to juvenile fall Chinook salmon. The predominant taxa collected were Siberian prawns, the opossum shrimp Neomysis mercedis, and the amphipod Corophium sp. Prawns were relatively abundant at shallow sites in both reservoirs in June, but were more abundant at deep sites in lower and middle reservoir reaches in autumn. Prawn densities were commonly <0.2/m2. Prawn length-frequency data indicated that there were at least two size classes. Juvenile prawns present in shallow water more often than adult prawns, which were generally only found in deep water by autumn. Ovigerous prawns had an average of 171 eggs, which represented about 11.5% of their body weight. Limited diet analyses suggested that prawns consumed Corophium, Neomysis, and aquatic insects. Neomysis dominated all catches both in terms of abundance and biomass, and they were more abundant in Lower Granite compared to Little Goose reservoir. Neomysis were more abundant at shallow sites than at deep sites. Corophium were present in our collections but were never abundant, probably because our trawl was not effective at capturing them. The caloric content of prawns (4,782 Kcal), Neomysis (4,962 Kcal), and Corophium (4,926 Kcal) indicates that these prey would be energetically profitable for juvenile salmon. Subyearling fall Chinook salmon prey heavily on Neomysis and Corophium at times, but the importance of prawns as prey is uncertain.

","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Connor, W.P., Bellgraph, B., Kock, T.J., Mullins, F., Steinhorst, R., Christiansen, H.E., McCormick, S., Ortega, L.A., Carter, K.M., Arntzen, E.V., Klett, K.J., Deng, Z.D., Abel, T.K., Linley, T.J., Cullinan, V.I., St John, S.J., Erhardt, J.M., Bickford, B.K., Schmidt, A., and Rhodes, T.N., 2013, Snake River fall Chinook salmon life history investigations: Annual report 2011 (April 2011 - March 2012), 134 p.","productDescription":"134 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040902","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320968,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/PiscesPublication.mvc/SearchByTextInDocuments/?SearchString=P128358"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Lower Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.7569580078125,\n 45.251688256117646\n ],\n [\n -117.7569580078125,\n 46.76244305208004\n ],\n [\n -116.53198242187499,\n 46.76244305208004\n ],\n [\n -116.53198242187499,\n 45.251688256117646\n ],\n [\n -117.7569580078125,\n 45.251688256117646\n ]\n ]\n ]\n }\n }\n ]\n}","tableOfContents":"

Chapter 1: Downstream movement of fall Chinook salmon juveniles in the lower Snake River reservoirs during winter and early spring

\n

Chapter 2: Gene expression and physiological development of natural subyearling fall Chinook salmon in the Snake and Clearwater rivers

\n

Chapter 3: Mortality and severity of gas bubble disease of juvenile fall Chinook salmon exposed to supersaturated gas concentrations and sudden changes in temperature

\n

Chapter 4: Distribution and abundance of potential invertebrate prey for juvenile fall Chinook salmon in the Snake River

\n

 

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Agricultural and urban land use in watersheds may contribute pesticides and nutrients to stream waters, and increasing concentrations of these chemicals were associated with increased occurrence of altered biological communities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133033","collaboration":"The Quality of Our Nation’s Waters","usgsCitation":"Carlisle, D.M., and Woodside, M., 2013, Ecological health in the Nation's streams: U.S. Geological Survey Fact Sheet 2013-3033, 6 p., https://doi.org/10.3133/fs20133033.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":274833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133033.gif"},{"id":274832,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3033/"},{"id":274831,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3033/pdf/fs2013-3033.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7456e4b0d24b0f89c666","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":480669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodside, Michael D. mdwoodsi@usgs.gov","contributorId":2903,"corporation":false,"usgs":true,"family":"Woodside","given":"Michael D.","email":"mdwoodsi@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":480670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046835,"text":"70046835 - 2013 - Can law foster social-ecological resilience?","interactions":[],"lastModifiedDate":"2013-07-10T12:49:09","indexId":"70046835","displayToPublicDate":"2013-07-10T12:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Can law foster social-ecological resilience?","docAbstract":"Law plays an essential role in shaping natural resource and environmental policy, but unfortunately, many environmental laws were developed around the prevailing scientific understanding that there was a “balance of nature” that could be managed and sustained. This view assumes that natural resource managers have the capacity to predict the behavior of ecological systems, know what its important functional components are, and successfully predict the outcome of management interventions. This paper takes on this problem by summarizing and synthesizing the contributions to this Special Feature (Law and Social-Ecological Resilience, Part I: Contributions from Resilience 2011), focusing on the interaction of law and social-ecological resilience, and then offering recommendations for the integration of law and social-ecological resilience.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-05927-180237","usgsCitation":"Garmestani, A.S., Allen, C.R., and Benson, M.H., 2013, Can law foster social-ecological resilience?: Ecology and Society, v. 18, no. 2, Article 37; 6 p., https://doi.org/10.5751/ES-05927-180237.","productDescription":"Article 37; 6 p.","ipdsId":"IP-044993","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05927-180237","text":"Publisher Index Page"},{"id":274825,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-05927-180237"},{"id":274826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7456e4b0d24b0f89c662","contributors":{"authors":[{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":480417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benson, Melinda H.","contributorId":54090,"corporation":false,"usgs":true,"family":"Benson","given":"Melinda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":480418,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046877,"text":"70046877 - 2013 - Bayesian inversion of data from effusive volcanic eruptions using physics-based models: Application to Mount St. Helens 2004--2008","interactions":[],"lastModifiedDate":"2013-07-10T12:37:45","indexId":"70046877","displayToPublicDate":"2013-07-10T12:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian inversion of data from effusive volcanic eruptions using physics-based models: Application to Mount St. Helens 2004--2008","docAbstract":"Physics-based models of volcanic eruptions can directly link magmatic processes with diverse, time-varying geophysical observations, and when used in an inverse procedure make it possible to bring all available information to bear on estimating properties of the volcanic system. We develop a technique for inverting geodetic, extrusive flux, and other types of data using a physics-based model of an effusive silicic volcanic eruption to estimate the geometry, pressure, depth, and volatile content of a magma chamber, and properties of the conduit linking the chamber to the surface. A Bayesian inverse formulation makes it possible to easily incorporate independent information into the inversion, such as petrologic estimates of melt water content, and yields probabilistic estimates for model parameters and other properties of the volcano. Probability distributions are sampled using a Markov-Chain Monte Carlo algorithm. We apply the technique using GPS and extrusion data from the 2004–2008 eruption of Mount St. Helens. In contrast to more traditional inversions such as those involving geodetic data alone in combination with kinematic forward models, this technique is able to provide constraint on properties of the magma, including its volatile content, and on the absolute volume and pressure of the magma chamber. Results suggest a large chamber of >40 km3 with a centroid depth of 11–18 km and a dissolved water content at the top of the chamber of 2.6–4.9 wt%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrb.50169","usgsCitation":"Anderson, K., and Segall, P., 2013, Bayesian inversion of data from effusive volcanic eruptions using physics-based models: Application to Mount St. Helens 2004--2008: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 2017-2037, https://doi.org/10.1002/jgrb.50169.","productDescription":"21 p.","startPage":"2017","endPage":"2037","ipdsId":"IP-042668","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":473700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50169","text":"Publisher Index Page"},{"id":274824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274708,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50169"},{"id":274709,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/jgrb.50169/abstract"}],"country":"United States","state":"Washington","county":"Skamania County","otherGeospatial":"Mount Saint Helens","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.248734,46.156062 ], [ -122.248734,46.24062 ], [ -122.12654,46.24062 ], [ -122.12654,46.156062 ], [ -122.248734,46.156062 ] ] ] } } ] }","volume":"118","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-22","publicationStatus":"PW","scienceBaseUri":"51de7455e4b0d24b0f89c65e","contributors":{"authors":[{"text":"Anderson, Kyle 0000-0001-8041-3996","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":53677,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","affiliations":[{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":480544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Segall, Paul","contributorId":75942,"corporation":false,"usgs":true,"family":"Segall","given":"Paul","affiliations":[],"preferred":false,"id":480545,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046952,"text":"sir20135060 - 2013 - The simulated effects of wastewater-management actions on the hydrologic system and nitrogen-loading rates to wells and ecological receptors, Popponesset Bay Watershed, Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2013-07-10T10:59:31","indexId":"sir20135060","displayToPublicDate":"2013-07-10T10:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5060","title":"The simulated effects of wastewater-management actions on the hydrologic system and nitrogen-loading rates to wells and ecological receptors, Popponesset Bay Watershed, Cape Cod, Massachusetts","docAbstract":"The discharge of excess nitrogen into Popponesset Bay, an estuarine system on western Cape Cod, has resulted in eutrophication and the loss of eel grass habitat within the estuaries. Septic-system return flow in residential areas within the watershed is the primary source of nitrogen. Total Maximum Daily Loads (TMDLs) for nitrogen have been assigned to the six estuaries that compose the system, and local communities are in the process of implementing the TMDLs by the partial sewering, treatment, and disposal of treated wastewater at wastewater-treatment facilities (WTFs). Loads of waste-derived nitrogen from both current (1997–2001) and future sources can be estimated implicitly from parcel-scale water-use data and recharge areas delineated by a groundwater-flow model. These loads are referred to as “instantaneous” loads because it is assumed that the nitrogen from surface sources is delivered to receptors instantaneously and that there is no traveltime through the aquifer. The use of a solute-transport model to explicitly simulate the transport of mass through the aquifer from sources to receptors can improve implementation of TMDLs by (1) accounting for traveltime through the aquifer, (2) avoiding limitations associated with the estimation of loads from static recharge areas, (3) accounting more accurately for the effect of surface waters on nitrogen loads, and (4) determining the response of waste-derived nitrogen loads to potential wastewater-management actions.\n\nThe load of nitrogen to Popponesset Bay on western Cape Cod, which was estimated by using current sources as input to a solute-transport model based on a steady-state flow model, is about 50 percent of the instantaneous load after about 7 years of transport (loads to estuary are equal to loads discharged from sources); this estimate is consistent with simulated advective traveltimes in the aquifer, which have a median of 5 years. Model-calculated loads originating from recharge areas reach 80 percent of the instantaneous load within 30 years; this result indicates that loads estimated from recharge areas likely are reasonable for estimating current instantaneous loads. However, recharge areas are assumed to remain static as stresses and hydrologic conditions change in response to wastewater-management actions.\n\nSewering of the Popponesset Bay watershed would not change hydraulic gradients and recharge areas to receptors substantially; however, disposal of wastewater from treatment facilities can change hydraulic gradients and recharge areas to nearby receptors, particularly if the facilities are near the boundary of the recharge area. In these cases, nitrogen loads implicitly estimated by using current recharge areas that do not accurately represent future hydraulic stresses can differ significantly from loads estimated with recharge areas that do represent those stresses. Nitrogen loads to two estuaries in the Popponesset Bay system estimated by using recharge areas delineated for future hydrologic conditions and nitrogen sources were about 3 and 9 times higher than loads estimated by using current recharge areas; for this reason, reliance on static recharge areas can present limitations for effective TMDL implementation by means of a hypothetical, but realistic, wastewater-management action. A solute-transport model explicitly represents nitrogen transport from surface sources and does not rely on the use of recharge areas; because changes in gradients resulting from wastewater-management actions are accounted for in transport simulations, they provide more reliable predictions of future nitrogen loads.\n\nExplicitly representing the mass transport of nitrogen can better account for the mechanisms by which nitrogen enters the estuary and improve estimates of the attenuation of nitrogen concentrations in fresh surface waters. Water and associated nitrogen can enter an estuary as either direct groundwater discharge or as surface-water inflow. Two estuaries in the Popponesset Bay watershed receive surface-water inflows: Shoestring Bay receives water from the Santuit River, and the tidal reach of the Mashpee River receives water (and associated nitrogen) from the nontidal reach of the Mashpee River. Much of the water discharging into these streams passes through ponds prior to discharge. The additional attenuation of nitrogen in groundwater that has passed through a pond and discharged into a stream prior to entering an estuary is about 3 kilograms per day.\n\nAdvective-transport times in the aquifer generally are small—median traveltimes are about 4.5 years—and nitrogen loads at receptors respond quickly to wastewater-management actions. The simulated decreases in nitrogen loads were 50 and 80 percent of the total decreases within 5 and 15 years, respectively, after full sewering of the watershed and within 3 and 10 years, for sequential phases of partial sewering and disposal at WTFs. The results show that solute-transport models can be used to assess the responses of nitrogen loads to wastewater-management actions, and that loads at ecological receptors (receiving waters—ponds, streams or coastal waters—that support ecosystems) will respond within a few years to those actions.\n\nThe responses vary for individual receptors as functions of hydrologic setting, traveltimes in the aquifer, and the unique set of nitrogen sources representing current and future wastewater-disposal actions within recharge areas. Changes in nitrogen loads from groundwater discharge to individual estuaries range from a decrease of 90 percent to an increase of 80 percent following sequential phases of hypothetical but realistic wastewater-management actions. The ability to explicitly represent the transport of mass through the aquifer allows for the evaluation of complex responses that include the effects of surface waters, traveltimes, and complex changes in sources. Most of the simulated decreases in nitrogen loads to Shoestring Bay and the tidal portion of the Mashpee River, 79 and 69 percent, respectively, were caused by decreases in the nitrogen loads from surface-water inflow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135060","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Walter, D.A., 2013, The simulated effects of wastewater-management actions on the hydrologic system and nitrogen-loading rates to wells and ecological receptors, Popponesset Bay Watershed, Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2013-5060, vii, 62 p., https://doi.org/10.3133/sir20135060.","productDescription":"vii, 62 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":274823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135060.jpg"},{"id":274821,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5060/"},{"id":274822,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5060/pdf/sir2013-5060_report.pdf"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod;Popponesset Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.75,41.5 ], [ -70.75,42.083333 ], [ -69.833333,42.083333 ], [ -69.833333,41.5 ], [ -70.75,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7457e4b0d24b0f89c66e","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480671,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046948,"text":"sir20135057 - 2013 - Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions in 2012","interactions":[],"lastModifiedDate":"2013-07-10T09:27:49","indexId":"sir20135057","displayToPublicDate":"2013-07-10T09:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5057","title":"Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions in 2012","docAbstract":"Sand Hollow Reservoir in Washington County, Utah, was completed in March 2002 and is operated primarily for managed aquifer recharge by the Washington County Water Conservancy District. From 2002 through 2011, surface-water diversions of about 199,000 acre-feet to Sand Hollow Reservoir have allowed the reservoir to remain nearly full since 2006. Groundwater levels in monitoring wells near the reservoir rose through 2006 and have fluctuated more recently because of variations in reservoir altitude and nearby pumping from production wells. Between 2004 and 2011, a total of about 19,000 acre-feet of groundwater was withdrawn by these wells for municipal supply. In addition, a total of about 21,000 acre-feet of shallow seepage was captured by French drains adjacent to the North and West Dams and used for municipal supply, irrigation, or returned to the reservoir.\n\nFrom 2002 through 2011, about 106,000 acre-feet of water seeped beneath the reservoir to recharge the underlying Navajo Sandstone aquifer. Water quality was sampled at various monitoring wells in Sand Hollow to evaluate the timing and location of reservoir recharge as it moved through the aquifer. Tracers of reservoir recharge include major and minor dissolved inorganic ions, tritium, dissolved organic carbon, chlorofluorocarbons, sulfur hexafluoride, and noble gases. By 2012, this recharge arrived at four monitoring wells located within about 1,000 feet of the reservoir. Changing geochemical conditions at five other monitoring wells could indicate other processes, such as changing groundwater levels and mobilization of vadose-zone salts, rather than arrival of reservoir recharge.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135057","usgsCitation":"Marston, T.M., and Heilweil, V.M., 2013, Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions in 2012: U.S. Geological Survey Scientific Investigations Report 2013-5057, vi, 40 p., https://doi.org/10.3133/sir20135057.","productDescription":"vi, 40 p.","numberOfPages":"50","additionalOnlineFiles":"N","temporalStart":"2002-03-01","temporalEnd":"2012-12-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":274820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135057.jpg"},{"id":274818,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5057/"},{"id":274819,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5057/pdf/sir2013-5057.pdf"}],"country":"United States","state":"Utah","county":"Washington County","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.393499,37.102437 ], [ -113.393499,37.127407 ], [ -113.359917,37.127407 ], [ -113.359917,37.102437 ], [ -113.393499,37.102437 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7450e4b0d24b0f89c65a","contributors":{"authors":[{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480667,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046947,"text":"sir20135118 - 2013 - Hydrologic and geochemical characterization of the Santa Rosa Plain watershed, Sonoma County, California","interactions":[],"lastModifiedDate":"2013-07-10T09:09:22","indexId":"sir20135118","displayToPublicDate":"2013-07-10T09:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5118","title":"Hydrologic and geochemical characterization of the Santa Rosa Plain watershed, Sonoma County, California","docAbstract":"The Santa Rosa Plain is home to approximately half of the population of Sonoma County, California, and faces growth in population and demand for water. Water managers are confronted with the challenge of meeting the increasing water demand with a combination of water sources, including local groundwater, whose future availability could be uncertain. To meet this challenge, water managers are seeking to acquire the knowledge and tools needed to understand the likely effects of future groundwater development in the Santa Rosa Plain and to identify efficient strategies for surface- and groundwater management that will ensure the long-term viability of the water supply. The U.S. Geological Survey, in cooperation with the Sonoma County Water Agency and other stakeholders in the area (cities of Cotati, Rohnert Park, Santa Rosa, and Sebastopol, town of Windsor, Cal-American Water Company, and the County of Sonoma), undertook this study to characterize the hydrology of the Santa Rosa Plain and to develop tools to better understand and manage the groundwater system.\n\nThe objectives of the study are: (1) to develop an updated assessment of the hydrogeology and geochemistry of the Santa Rosa Plain; (2) to develop a fully coupled surface-water and groundwater-flow model for the Santa Rosa Plain watershed; and (3) to evaluate the potential hydrologic effects of alternative groundwater-management strategies for the basin. The purpose of this report is to describe the surface-water and groundwater hydrology, hydrogeology, and water-quality characteristics of the Santa Rosa Plain watershed and to develop a conceptual model of the hydrologic system in support of the first objective. The results from completing the second and third objectives will be described in a separate report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135118","collaboration":"Prepared in cooperation with the Sonoma County Water Agency","usgsCitation":"Nishikawa, T., 2013, Hydrologic and geochemical characterization of the Santa Rosa Plain watershed, Sonoma County, California: U.S. Geological Survey Scientific Investigations Report 2013-5118, xvii, 178 p.; Appendix A, https://doi.org/10.3133/sir20135118.","productDescription":"xvii, 178 p.; Appendix A","numberOfPages":"199","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135118.jpg"},{"id":274815,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5118/pdf/sir20135118.pdf"},{"id":274816,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5118/sir20135118_appA.xls"},{"id":274814,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5118/"}],"country":"United States","state":"California","county":"Sonoma County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.534,38.0695 ], [ -123.534,38.8527 ], [ -122.3497,38.8527 ], [ -122.3497,38.0695 ], [ -123.534,38.0695 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7456e4b0d24b0f89c66a","contributors":{"authors":[{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70188863,"text":"70188863 - 2013 - Atmospheric propagation modeling indicates homing pigeons use loft-specific infrasonic ‘map’ cues","interactions":[],"lastModifiedDate":"2017-06-26T14:27:54","indexId":"70188863","displayToPublicDate":"2013-07-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric propagation modeling indicates homing pigeons use loft-specific infrasonic ‘map’ cues","docAbstract":"

Results from an acoustic ray-tracing program using daily meteorological profiles are presented to explain ‘release-site biases’ for homing pigeons at three experimental sites in upstate New York where W. T. Keeton and his co-workers at Cornell University conducted extensive releases between 1968 and 1987 in their investigations of the avian navigational ‘map’. The sites are the Jersey Hill and Castor Hill fire towers, and another near Weedsport, where control pigeons from the Cornell loft vanished in random directions, in directions consistently >50 deg clockwise and in directions ∼15 deg clockwise from the homeward bearing, respectively. Because Cornell pigeons were disoriented at Jersey Hill whereas birds from other lofts were not, it is inferred that Jersey Hill lies within an acoustic ‘shadow’ zone relative to infrasonic signals originating from the Cornell loft’s vicinity. Such signals could arise from ground-to-air coupling of near-continuous microseisms, or from scattering of direct microbaroms off terrain features, both of which are initially generated by wave–wave interactions in the deep ocean. HARPA runs show that little or no infrasound from the loft area arrived at Jersey Hill on days when Cornell pigeons were disoriented there, and that homeward infrasonic signals could have arrived at all three sites from directions consistent with pigeon departure bearings, especially on days when these bearings were unusual. The general stability of release-site biases might be due to influences of terrain on transmission of the homeward signals under prevailing weather patterns, whereas short-term changes in biases might be caused by rapid shifts in atmospheric conditions.

","language":"English","publisher":"Society of Experimental Biology","doi":"10.1242/jeb.072934","usgsCitation":"Hagstrum, J.T., 2013, Atmospheric propagation modeling indicates homing pigeons use loft-specific infrasonic ‘map’ cues: Journal of Experimental Biology, v. 216, p. 687-699, https://doi.org/10.1242/jeb.072934.","productDescription":"13 p.","startPage":"687","endPage":"699","ipdsId":"IP-042311","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":488654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.072934","text":"Publisher Index Page"},{"id":342907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.167724609375,\n 42.167475010395336\n ],\n [\n -75.8331298828125,\n 42.167475010395336\n ],\n [\n -75.8331298828125,\n 43.61619382369185\n ],\n [\n -78.167724609375,\n 43.61619382369185\n ],\n [\n -78.167724609375,\n 42.167475010395336\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"216","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d28e4b062508e3c36d3","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700737,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70188072,"text":"70188072 - 2013 - Linkages between lake shrinkage/expansion and sublacustrine permafrost distribution determined from remote sensing of interior Alaska, USA","interactions":[],"lastModifiedDate":"2024-07-02T16:43:04.264131","indexId":"70188072","displayToPublicDate":"2013-07-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between lake shrinkage/expansion and sublacustrine permafrost distribution determined from remote sensing of interior Alaska, USA","docAbstract":"

[1] Linkages between permafrost distribution and lake surface-area changes in cold regions have not been previously examined over a large scale because of the paucity of subsurface permafrost information. Here, a first large-scale examination of these linkages is made over a 5150 km2 area of Yukon Flats, Alaska, USA, by evaluating the relationship between lake surface-area changes during 1979–2009, derived from Landsat satellite data, and sublacustrine groundwater flow-path connectivity inferred from a pioneering, airborne geophysical survey of permafrost. The results suggest that the shallow (few tens of meters) thaw state of permafrost has more influence than deeper permafrost conditions on the evolving water budgets of lakes on a multidecadal time scale. In the region studied, these key shallow aquifers have high hydraulic conductivity and great spatial variability in thaw state, making groundwater flow and associated lake level evolution particularly sensitive to climate change owing to the close proximity of these aquifers to the atmosphere.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/grl.50187","usgsCitation":"Jepsen, S.M., Voss, C.I., Walvoord, M.A., Minsley, B.J., and Rover, J., 2013, Linkages between lake shrinkage/expansion and sublacustrine permafrost distribution determined from remote sensing of interior Alaska, USA: Geophysical Research Letters, v. 40, no. 5, p. 882-887, https://doi.org/10.1002/grl.50187.","productDescription":"6 p.","startPage":"882","endPage":"887","ipdsId":"IP-040838","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473701,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50187","text":"Publisher Index Page"},{"id":341849,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148,\n 66.07\n ],\n [\n -145,\n 66.07\n ],\n [\n -145,\n 66.775\n ],\n [\n -148,\n 66.775\n ],\n [\n -148,\n 66.07\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-14","publicationStatus":"PW","scienceBaseUri":"592e84c8e4b092b266f10dc2","contributors":{"authors":[{"text":"Jepsen, Steven M. sjepsen@usgs.gov","contributorId":3892,"corporation":false,"usgs":true,"family":"Jepsen","given":"Steven","email":"sjepsen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":696399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":696397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":696400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":696396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rover, Jennifer 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":192333,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696398,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188859,"text":"70188859 - 2013 - Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA","interactions":[],"lastModifiedDate":"2017-06-27T10:16:33","indexId":"70188859","displayToPublicDate":"2013-07-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1068,"text":"Boreas","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA","docAbstract":"

The Provo shoreline of Lake Bonneville formed following the Bonneville flood, and, based on previous dating, was formed during a period of overflow from about 17.5 to 15.0 cal. ka. In many places the Provo shoreline consists of a pair of distinct shorelines, one ∼3 m higher than the other. We present data from two cuts through double beaches to show that the upper beach is younger and represents sedimentation after a lake-level rise. In addition, the lower beach deposits are internally stratified by beds that suggest three more lake-level rises during its development. The Provo beach complex thus appears to have been built during rising lake levels, which can be explained by rises in the overflow threshold by sequential landslide deposition. Evaluation of beach altitudes demonstrates that the two beach crests throughout the Bonneville basin experienced equivalent rebound from removal of the lake load, and therefore they formed after the rebound associated with the Bonneville flood occurred in early Provo time. However, radiocarbon ages on gastropods collected within the beach deposits suggest both that the sequence of five beach deposits formed from c.18.1 to c. 17.0 cal. ka, and that the Bonneville flood occurred before 18 cal. ka. These ages are discordant with previous dates on shells within offshore sands, and raise questions about the validity of radiocarbon ages for shells in Lake Bonneville as well as about the age of the Bonneville flood and Provo shoreline. The timing for maximum Provo lake depths and its association with climate stages during deglaciation remain unresolved.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1502-3885.2012.00297.x","usgsCitation":"Miller, D., Oviatt, C., and McGeehin, J.P., 2013, Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA: Boreas, v. 42, no. 2, p. 342-361, https://doi.org/10.1111/j.1502-3885.2012.00297.x.","productDescription":"20 p.","startPage":"342","endPage":"361","ipdsId":"IP-033686","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah, Wyoming","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.3,\n 42.7\n ],\n [\n -110.5,\n 42.7\n ],\n [\n -110.5,\n 37.5\n ],\n [\n -114.3,\n 37.5\n ],\n [\n -114.3,\n 42.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-25","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab3","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oviatt, Charles G.","contributorId":13503,"corporation":false,"usgs":true,"family":"Oviatt","given":"Charles G.","affiliations":[],"preferred":false,"id":700722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":700723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046942,"text":"ofr20121255 - 2013 - Groundwater quality and water-well characteristics in the Kickapoo Tribe of Oklahoma Jurisdictional Area, central Oklahoma, 1948--2011","interactions":[],"lastModifiedDate":"2013-07-09T15:46:19","indexId":"ofr20121255","displayToPublicDate":"2013-07-09T15:28:00","publicationYear":"2013","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":"2012-1255","title":"Groundwater quality and water-well characteristics in the Kickapoo Tribe of Oklahoma Jurisdictional Area, central Oklahoma, 1948--2011","docAbstract":"In 2012, the U.S. Geological Survey, in cooperation with the Kickapoo Tribe of Oklahoma, compiled historical groundwater-quality data collected from 1948 to 2011 and water-well completion information in parts of Lincoln, Oklahoma, and Pottawatomie Counties in central Oklahoma to support the development of a comprehensive water-management plan for the Tribe’s jurisdictional area. In this study, water-quality data from 155 water wells, collected from 1948 to 2011, were retrieved from the U.S. Geological Survey National Water Information System database; these data include measurements of pH, specific conductance, and hardness and concentrations of the major ions, trace elements, and radionuclides that have Maximum Contaminant Levels or Secondary Maximum Contaminant Levels in public drinking-water supplies. Information about well characteristics includes ranges of well yield and well depth of private water wells in the study area and was compiled from the Oklahoma Water Resources Board Multi-Purpose Well Completion Report database. This report also shows depth to water from land surface by using shaded 30-foot contours that were created by using a geographic information system and spatial layers of a 2009 potentiometric surface (groundwater elevation) and land-surface elevation.\n\nWells in the study area produce water from the North Canadian River alluvial and terrace aquifers, the underlying Garber Sandstone and Wellington Formation that compose the Garber–Wellington aquifer, and the Chase, Council Grove, and Admire Groups. Water quality varies substantially between the alluvial and terrace aquifers and bedrock aquifers in the study area. Water from the alluvial aquifer has relatively high concentrations of dissolved solids and generally is used for livestock only, whereas water from the terrace aquifer has low concentrations of dissolved solids and is used extensively by households in the study area. Water from the bedrock aquifer also is used extensively by households but may have high concentrations of trace elements, including uranium, in some areas where groundwater pH is above 8.0.\n\nWell yields vary and are dependent on aquifer characteristics and well-completion practices. Well yields in the unconsolidated alluvial and terrace aquifers generally are higher than yields from bedrock aquifers but are limited by the thickness and extent of these river deposits. Well yields in the alluvium and terrace aquifers commonly range from 50 to 150 gallons per minute and may exceed 300 gallons per minute, whereas well yields in the bedrock aquifers commonly range from 25 to 50 gallons per minute in the western one-third of study area (Oklahoma County) and generally less than 25 gallons per minute in the eastern two-thirds of the study area (Lincoln and Pottawatomie Counties).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121255","collaboration":"Prepared in cooperation with the Kickapoo Tribe of Oklahoma","usgsCitation":"Becker, C., 2013, Groundwater quality and water-well characteristics in the Kickapoo Tribe of Oklahoma Jurisdictional Area, central Oklahoma, 1948--2011: U.S. Geological Survey Open-File Report 2012-1255, iv, 32 p.; Maps: 2 Sheets: 17 x 22 inches, https://doi.org/10.3133/ofr20121255.","productDescription":"iv, 32 p.; Maps: 2 Sheets: 17 x 22 inches","numberOfPages":"39","additionalOnlineFiles":"Y","temporalStart":"1948-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":274808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121255.gif"},{"id":274806,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1255/Plate%201.pdf"},{"id":274807,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1255/Plate%202.pdf"},{"id":274804,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1255/"},{"id":274805,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1255/OFR_2012-1255.pdf"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Kickapoo Tribe Of Oklahoma Jurisdictional Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.333333,35.25 ], [ -97.333333,35.833333 ], [ -96.833333,35.833333 ], [ -96.833333,35.25 ], [ -97.333333,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd22d8e4b0f72b44719c1b","contributors":{"authors":[{"text":"Becker, Carol 0000-0001-6652-4542 cjbecker@usgs.gov","orcid":"https://orcid.org/0000-0001-6652-4542","contributorId":2489,"corporation":false,"usgs":true,"family":"Becker","given":"Carol","email":"cjbecker@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046941,"text":"sir20135128 - 2013 - Erosion monitoring along the Coosa River below Logan Martin Dam near Vincent, Alabama, using terrestrial light detection and ranging (T-LiDAR) technology","interactions":[],"lastModifiedDate":"2013-07-09T15:28:27","indexId":"sir20135128","displayToPublicDate":"2013-07-09T15:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5128","title":"Erosion monitoring along the Coosa River below Logan Martin Dam near Vincent, Alabama, using terrestrial light detection and ranging (T-LiDAR) technology","docAbstract":"Alabama Power operates a series of dams on the Coosa River in east central Alabama. These dams form six reservoirs that provide power generation, flood control, recreation, economic opportunity, and fish and wildlife habitats to the region. The Logan Martin Reservoir is located approximately 45 kilometers east of Birmingham and borders Saint Clair and Talladega Counties. Discharges below the reservoir are controlled by power generation at Logan Martin Dam, and there has been an ongoing concern about the stability of the streambanks downstream of the dam. The U.S. Geological Survey, in cooperation with Alabama Power conducted a scientific investigation of the geomorphic conditions of a 115-meter length of streambank along the Coosa River by using tripod-mounted terrestrial light detection and ranging technology. Two surveys were conducted before and after the winter flood season of 2010 to determine the extent and magnitude of geomorphic change. A comparison of the terrestrial light detection and ranging datasets indicated that approximately 40 cubic meters of material had been eroded from the upstream section of the study area. The terrestrial light detection and ranging data included in this report consist of electronic point cloud files containing several million georeferenced data points, as well as a surface model measuring changes between scans.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135128","collaboration":"Prepared in cooperation with the Alabama Power","usgsCitation":"Kimbrow, D.R., and Lee, K., 2013, Erosion monitoring along the Coosa River below Logan Martin Dam near Vincent, Alabama, using terrestrial light detection and ranging (T-LiDAR) technology: U.S. Geological Survey Scientific Investigations Report 2013-5128, iv, 9 p., https://doi.org/10.3133/sir20135128.","productDescription":"iv, 9 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":274803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135128.gif"},{"id":274801,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5128/"},{"id":274802,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5128/pdf/sir2013-5128.pdf"}],"country":"United States","state":"Alabama","county":"Shelby County","city":"Vincent","otherGeospatial":"Coosa River;Logan Martin Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.345833,33.4125 ], [ -86.345833,33.429167 ], [ -86.333333,33.429167 ], [ -86.333333,33.4125 ], [ -86.345833,33.4125 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd22d8e4b0f72b44719c17","contributors":{"authors":[{"text":"Kimbrow, Dustin R. dkimbrow@usgs.gov","contributorId":3915,"corporation":false,"usgs":true,"family":"Kimbrow","given":"Dustin","email":"dkimbrow@usgs.gov","middleInitial":"R.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathryn G.","contributorId":108009,"corporation":false,"usgs":true,"family":"Lee","given":"Kathryn G.","affiliations":[],"preferred":false,"id":480653,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046792,"text":"sim3253 - 2013 - Marine benthic habitat mapping of the West Arm, Glacier Bay National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2013-07-09T15:47:55","indexId":"sim3253","displayToPublicDate":"2013-07-09T14:46:00","publicationYear":"2013","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":"3253","title":"Marine benthic habitat mapping of the West Arm, Glacier Bay National Park and Preserve, Alaska","docAbstract":"Seafloor geology and potential benthic habitats were mapped in West Arm, Glacier Bay National Park and Preserve, Alaska, using multibeam sonar, groundtruthed observations, and geological interpretations. The West Arm of Glacier Bay is a recently deglaciated fjord system under the influence of glacial and paraglacial marine processes. High glacially derived sediment and meltwater fluxes, slope instabilities, and variable bathymetry result in a highly dynamic estuarine environment and benthic ecosystem. We characterize the fjord seafloor and potential benthic habitats using the recently developed Coastal and Marine Ecological Classification Standard (CMECS) by the National Oceanic and Atmospheric Administration (NOAA) and NatureServe. Due to the high flux of glacially sourced fines, mud is the dominant substrate within the West Arm. Water-column characteristics are addressed using a combination of CTD and circulation model results. We also present sediment accumulation data derived from differential bathymetry. These data show the West Arm is divided into two contrasting environments: a dynamic upper fjord and a relatively static lower fjord. The results of these analyses serve as a test of the CMECS classification scheme and as a baseline for ongoing and future mapping efforts and correlations between seafloor substrate, benthic habitats, and glacimarine processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3253","usgsCitation":"Hodson, T.O., Cochrane, G.R., and Powell, R.D., 2013, Marine benthic habitat mapping of the West Arm, Glacier Bay National Park and Preserve, Alaska: U.S. Geological Survey Scientific Investigations Map 3253, Pamphlet: iii, 29 p.; Sheet 1: 41.86 inches x 38.86 inches; Sheet 2: 42.30 inches x 36.92 inches; Sheet 3: 41.86 inches x 38.86 inches; Sheet 4: 42.30 inches x 36.87 inches; Readme txt; Metadata folder; GIS data folder, https://doi.org/10.3133/sim3253.","productDescription":"Pamphlet: iii, 29 p.; Sheet 1: 41.86 inches x 38.86 inches; Sheet 2: 42.30 inches x 36.92 inches; Sheet 3: 41.86 inches x 38.86 inches; Sheet 4: 42.30 inches x 36.87 inches; Readme txt; Metadata folder; GIS data folder","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-034188","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3253.jpg"},{"id":274691,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3253/"},{"id":274794,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3253/sim3253_sheet1.pdf"},{"id":274795,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3253/sim3253_sheet2.pdf"},{"id":274796,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3253/sim3253_sheet3.pdf"},{"id":274797,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3253/sim3253_sheet4.pdf"},{"id":274793,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3253/sim3253_pamphlet.pdf"},{"id":274798,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3253/sim3253_readme.txt"},{"id":274799,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3253/metadata"},{"id":274800,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3253/data"}],"scale":"50000","projection":"Universal Transverse Mercator Zone 8N","country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -137.269363,58.833333 ], [ -137.269363,59.083333 ], [ -136.563492,59.083333 ], [ -136.563492,58.833333 ], [ -137.269363,58.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd22d8e4b0f72b44719c1f","contributors":{"authors":[{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Ross D.","contributorId":89768,"corporation":false,"usgs":true,"family":"Powell","given":"Ross","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480269,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047690,"text":"70047690 - 2013 - Observations on the crystallization of spodumene from aqueous solutions in a hydrothermal diamond-anvil cell","interactions":[],"lastModifiedDate":"2013-10-30T10:25:36","indexId":"70047690","displayToPublicDate":"2013-07-09T14:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Observations on the crystallization of spodumene from aqueous solutions in a hydrothermal diamond-anvil cell","docAbstract":"Crystallization experiments were conducted in a new type of hydrothermal diamond-anvil cell (HDAC; type V) using LiAlSi2O6 (S) gel and H2O (W) as starting materials. A total of 21 experiments were performed at temperatures up to 950°C and pressures up to 788 MPa. In the samples with relatively low W/S ratios, many small crystals formed in the melt phase during cooling. In those with high W/S ratios, only a few crystals with smooth surfaces crystallized from the aqueous fluid in the presence of melt droplets, which were gradually consumed during crystal growth, indicating rapid transfer of material from the melt to the crystals through the aqueous fluid. The nucleation of crystals started at 710 (±70)°C and 520 (±80) MPa, and crystal growth ended at 570 (±40)°C and 320 (±90) MPa, with the cooling P-T path within the stability field of spodumene + quartz in the S-W system. The observed linear crystal growth rates in the aqueous phase, calculated by dividing the maximum length of a single crystal by the duration of the entire growth step, were 4.7 × 10−6 and 5.7 × 10−6 cm s−1 for the cooling rates of 0.5 and 1°C min−1, respectively. However, a rapid crystal growth rate of 3.6 × 10−5 cm s−1 in the aqueous fluid was observed when the components were supplied by nearby melt droplets. Our results show that when crystals nucleate in the aqueous fluid instead of the melt phase, there are fewer nuclei formed, and they grow much faster due to the low viscosity of the aqueous fluid, which accelerates diffusion of components for the growth of crystals. Therefore, the large crystals in granitic pegmatite can crystallize directly from aqueous fluids rather than hydrosilicate melt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geofluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gfl.12048","usgsCitation":"Li, J., Chou, I., Yuan, S., and Burruss, R.A., 2013, Observations on the crystallization of spodumene from aqueous solutions in a hydrothermal diamond-anvil cell: Geofluids, v. 13, no. 4, p. 467-474, https://doi.org/10.1111/gfl.12048.","productDescription":"8 p.","startPage":"467","endPage":"474","ipdsId":"IP-042531","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":276773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gfl.12048"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-09","publicationStatus":"PW","scienceBaseUri":"52136e37e4b0b08f44619912","contributors":{"authors":[{"text":"Li, Jianking","contributorId":62920,"corporation":false,"usgs":true,"family":"Li","given":"Jianking","email":"","affiliations":[],"preferred":false,"id":482728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chou, I-Ming 0000-0001-5233-6479 imchou@usgs.gov","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":882,"corporation":false,"usgs":true,"family":"Chou","given":"I-Ming","email":"imchou@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yuan, Shunda","contributorId":26608,"corporation":false,"usgs":true,"family":"Yuan","given":"Shunda","affiliations":[],"preferred":false,"id":482727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burruss, Robert A. 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":558,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":482725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046811,"text":"70046811 - 2013 - A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring","interactions":[],"lastModifiedDate":"2013-07-09T11:08:17","indexId":"70046811","displayToPublicDate":"2013-07-09T10:57:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring","docAbstract":"Aim: To develop a novel global spatial framework for the integration and analysis of ecological and environmental data.\nLocation: The global land surface excluding Antarctica.\nMethods: A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate regions. Statistical screening produced a subset of relevant bioclimate variables, which were further compacted into fewer independent dimensions using principal components analysis (PCA). An ISODATA clustering routine was then used to classify the principal components into relatively homogeneous environmental strata. The strata were aggregated into global environmental zones based on the attribute distances between strata to provide structure and support a consistent nomenclature.\nResults: The global environmental stratification (GEnS) consists of 125 strata, which have been aggregated into 18 global environmental zones. The stratification has a 30 arcsec resolution (equivalent to 0.86 km2 at the equator). Aggregations of the strata were compared with nine existing global, continental and national bioclimate and ecosystem classifications using the Kappa statistic. Values range between 0.54 and 0.72, indicating good agreement in bioclimate and ecosystem patterns between existing maps and the GEnS.\nMain conclusions: The GEnS provides a robust spatial analytical framework for the aggregation of local observations, identification of gaps in current monitoring efforts and systematic design of complementary and new monitoring and research. The dataset is available for non-commercial use through the GEO portal (http://www.geoportal.org).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Ecology and Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/geb.12022","usgsCitation":"Metzger, M.J., Bunce, R.G., Jongman, R.H., Sayre, R.G., Trabucco, A., and Zomer, R., 2013, A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring: Global Ecology and Biogeography, v. 22, no. 5, p. 630-638, https://doi.org/10.1111/geb.12022.","productDescription":"9 p.","startPage":"630","endPage":"638","ipdsId":"IP-041917","costCenters":[{"id":180,"text":"Climate and Land Use Change Program","active":false,"usgs":true}],"links":[{"id":473702,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/geb.12022","text":"External Repository"},{"id":274747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274696,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/geb.12022/pdf"},{"id":274746,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/geb.12022"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"22","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-12-20","publicationStatus":"PW","scienceBaseUri":"51dd22d2e4b0f72b44719c13","contributors":{"authors":[{"text":"Metzger, Marc J.","contributorId":88635,"corporation":false,"usgs":true,"family":"Metzger","given":"Marc","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunce, Robert G.H.","contributorId":64539,"corporation":false,"usgs":true,"family":"Bunce","given":"Robert","email":"","middleInitial":"G.H.","affiliations":[],"preferred":false,"id":480349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jongman, Rob H.G.","contributorId":92566,"corporation":false,"usgs":true,"family":"Jongman","given":"Rob","email":"","middleInitial":"H.G.","affiliations":[],"preferred":false,"id":480352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayre, Roger G. rsayre@usgs.gov","contributorId":2882,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":480347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trabucco, Antonio","contributorId":10702,"corporation":false,"usgs":true,"family":"Trabucco","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":480348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zomer, Robert","contributorId":83006,"corporation":false,"usgs":true,"family":"Zomer","given":"Robert","email":"","affiliations":[],"preferred":false,"id":480350,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046911,"text":"ds780 - 2013 - Natural-color and color-infrared image mosaics of the Colorado River corridor in Arizona derived from the May 2009 airborne image collection","interactions":[],"lastModifiedDate":"2013-07-09T10:28:00","indexId":"ds780","displayToPublicDate":"2013-07-09T10:14:14","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"780","title":"Natural-color and color-infrared image mosaics of the Colorado River corridor in Arizona derived from the May 2009 airborne image collection","docAbstract":"The Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey (USGS) periodically collects airborne image data for the Colorado River corridor within Arizona (fig. 1) to allow scientists to study the impacts of Glen Canyon Dam water release on the corridor’s natural and cultural resources. These data are collected from just above Glen Canyon Dam (in Lake Powell) down to the entrance of Lake Mead, for a total distance of 450 kilometers (km) and within a 500-meter (m) swath centered on the river’s mainstem and its seven main tributaries (fig. 1). The most recent airborne data collection in 2009 acquired image data in four wavelength bands (blue, green, red, and near infrared) at a spatial resolution of 20 centimeters (cm). The image collection used the latest model of the Leica ADS40 airborne digital sensor (the SH52), which uses a single optic for all four bands and collects and stores band radiance in 12-bits. Davis (2012) reported on the performance of the SH52 sensor and on the processing steps required to produce the nearly flawless four-band image mosaic (sectioned into map tiles) for the river corridor. The final image mosaic has a total of only 3 km of surface defects in addition to some areas of cloud shadow because of persistent inclement weather during data collection. The 2009 four-band image mosaic is perhaps the best image dataset that exists for the entire Arizona part of the Colorado River.\n\nSome analyses of these image mosaics do not require the full 12-bit dynamic range or all four bands of the calibrated image database, in which atmospheric scattering (or haze) had not been removed from the four bands. To provide scientists and the general public with image products that are more useful for visual interpretation, the 12-bit image data were converted to 8-bit natural-color and color-infrared images, which also removed atmospheric scattering within each wavelength-band image. The conversion required an evaluation of the histograms of each band’s digital-number population within each map tile throughout the corridor and the determination of the digital numbers corresponding to the lower and upper one percent of the picture-element population within each map tile. Visual examination of the image tiles that were given a 1-percent stretch (whereby the lower 1- percent 12-bit digital number is assigned an 8-bit value of zero and the upper 1-percent 12-bit digital number is assigned an 8-bit value of 255) indicated that this stretch sufficiently removed atmospheric scattering, which provided improved image clarity and true natural colors for all surface materials.\n\nThe lower and upper 1-percent, 12-bit digital numbers for each wavelength-band image in the image tiles exhibit erratic variations along the river corridor; the variations exhibited similar trends in both the lower and upper 1-percent digital numbers for all four wavelength-band images (figs. 2–5). The erratic variations are attributed to (1) daily variations in atmospheric water-vapor content due to monsoonal storms, (2) variations in channel water color due to variable sediment input from tributaries, and (3) variations in the amount of topographic shadows within each image tile, in which reflectance is dominated by atmospheric scattering.\n\nTo make the surface colors of the stretched, 8-bit images consistent among adjacent image tiles, it was necessary to average both the lower and upper 1-percent digital values for each wavelength-band image over 20 river miles to subdue the erratic variations. The average lower and upper 1-percent digital numbers for each image tile (figs. 2–5) were used to convert the 12-bit image values to 8-bit values and the resulting 8-bit four-band images were stored as natural-color (red, green, and blue wavelength bands) and color-infrared (near-infrared, red, and green wavelength bands) images in embedded geotiff format, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.\n\nAll image data are projected in the State Plane (SP) map projection using the central Arizona zone (202) and the North American Datum of 1983 (NAD83). The map-tile scheme used to segment the corridor image mosaic followed the standard USGS quarter-quadrangle (QQ) map borders, but the high resolution (20 cm) of the images required further quarter segmentation (QQQ) of the standard QQ tiles, where the image mosaic covered a large fraction of a QQ map tile (segmentation shown in (figure 6), where QQ_1 to QQ_4 shows the number convention used to designate a quarter of a QQ tile). To minimize the size of each image tile, each image or map tile was subset to only include that part of the tile that had image data. In addition, some QQQ image tiles within a QQ tile were combined when adjacent QQQ map tiles were small. Thus, some image tiles consist of combinations of QQQ map tiles, some consist of an entire QQ map tile, and some consist of two adjoining QQ map tiles. The final image tiles number 143, which is a large number of files to list on the Internet for both the natural-color and color-infrared images. Thus, the image tiles were placed in seven file folders based on the one-half-degree geographic boundaries within the study area (fig. 7). The map tiles in each file folder were compressed to minimize folder size for more efficient downloading. The file folders are sequentially referred to as zone 1 through zone 7, proceeding down river (fig. 7). The QQ designations of the image tiles contained within each folder or zone are shown on the index map for each respective zone (figs. 8–14).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds780","usgsCitation":"Davis, P.A., 2013, Natural-color and color-infrared image mosaics of the Colorado River corridor in Arizona derived from the May 2009 airborne image collection: U.S. Geological Survey Data Series 780, Readme PDF; Readme Folder; 16 Index Maps; 14 Image Files; Metadata; Shapefiles, https://doi.org/10.3133/ds780.","productDescription":"Readme PDF; Readme Folder; 16 Index Maps; 14 Image Files; Metadata; Shapefiles","additionalOnlineFiles":"Y","ipdsId":"IP-043164","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":274741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds780.png"},{"id":274735,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/780/1_readme.pdf"},{"id":274736,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/780/1_readme"},{"id":274737,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/780/image_files/image_files.html"},{"id":274738,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/780/index_maps/index_maps.html"},{"id":274739,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/780/metadata/metadata.html"},{"id":274734,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/780/"},{"id":274740,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/780/shapefiles/shapefiles.html"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0,35.25 ], [ -114.0,37.0 ], [ -111.0,37.0 ], [ -111.0,35.25 ], [ -114.0,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd22d9e4b0f72b44719c23","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":480606,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046912,"text":"ofr20111015 - 2013 - Quaternary geophysical framework of the northeastern North Carolina coastal system","interactions":[],"lastModifiedDate":"2021-12-09T17:23:46.23576","indexId":"ofr20111015","displayToPublicDate":"2013-07-09T08:37:00","publicationYear":"2013","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":"2011-1015","title":"Quaternary geophysical framework of the northeastern North Carolina coastal system","docAbstract":"The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner continental shelf. This information provides a basis to understand the linkage between geologic framework, physical processes, and coastal evolution at time scales from storm events to millennia. The study area attracts significant tourism to its parks and beaches, contains a number of coastal communities, and supports a local fishing industry, all of which are impacted by coastal change. 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This manual provides the physical and mathematical concepts for selected models used to interpret deformation measurements near active faults and volcanic centers. The emphasis is on analytical models of deformation that can be compared with data from the Global Positioning System (GPS) receivers, Interferometric synthetic aperture radar (InSAR), leveling surveys, tiltmeters and strainmeters. Source models include pressurized spherical, ellipsoidal, and horizontal penny-shaped geometries in an elastic, homogeneous, flat half-space. Vertical dikes and faults are described following the mathematical notation for rectangular dislocations in an elastic, homogeneous, flat half-space. All the analytical expressions were verified against numerical models developed by use of COMSOL Multyphics, a Finite Element Analysis software (http://www.comsol.com). In this way, typographical errors present were identified and corrected. Matlab scripts are also provided to facilitate the application of these models.

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About 2,400 to 3,100 feet (ft) of flat-lying to gently dipping Lower Paleozoic sedimentary rocks, mostly dolomite, chert, sandstone, and orthoquartzite, overlie Mesoproterozoic igneous basement rocks. Unconsolidated residuum, colluvium, terrace deposits, and alluvium overlie the sedimentary rocks. Numerous karst features, such as sinkholes, caves, and springs, have formed in the carbonate rocks. Many streams are spring fed. The topography is a dissected karst plain with elevations ranging from about 690 ft where the Jacks Fork River exits the northeastern corner of the Jam Up Cave quadrangle to about 1,350 ft in upland areas along the north-central edge and southwestern corner of the Pine Crest quadrangle. The most prominent physiographic feature is the valley of the Jacks Fork River. This reach of the upper Jacks Fork, with its clean, swiftly-flowing water confined by low cliffs and bluffs, provides one of the most beautiful canoe float trips in the nation. Most of the land in the quadrangles is privately owned and used primarily for grazing cattle and horses and growing timber. A large minority of the land within the quadrangles is publicly owned by the Ozark National Scenic Riverways of the National Park Service. Geologic mapping for this investigation was conducted in 2005 and 2006.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3248","usgsCitation":"Weary, D.J., Orndorff, R.C., and Repetski, J.E., 2013, Geologic map of the Jam Up Cave and Pine Crest quadrangles, Shannon, Texas, and Howell Counties, Missouri: U.S. Geological Survey Scientific Investigations Map 3248, SIM 3248: 53.89 inches x 39.85 inches; Downloads Directory; Metadata, Shape Files, https://doi.org/10.3133/sim3248.","productDescription":"SIM 3248: 53.89 inches x 39.85 inches; Downloads Directory; Metadata, Shape Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":274540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3248.gif"},{"id":274539,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3248/Downloads/SIM3248_shapefiles.zip"},{"id":274537,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3248/Downloads"},{"id":274538,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3248/Downloads/metadata_attribute.zip"},{"id":274535,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3248/"},{"id":274536,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3248/pdf/sim3248.pdf"}],"scale":"24000","projection":"Universe Transverse Mercator, zone 15","datum":"North American Datum of 1927","country":"United States","state":"Missouri","county":"Howell County;Shannon County;Texas County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.750,37.000 ], [ -91.750,37.125 ], [ -91.500,37.125 ], [ -91.500,37.000 ], [ -91.750,37.000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbd14ee4b0f81004b77c96","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":480250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":480252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":480251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047176,"text":"70047176 - 2013 - Statewide summary for Florida","interactions":[],"lastModifiedDate":"2022-12-27T17:50:25.624609","indexId":"70047176","displayToPublicDate":"2013-07-07T16:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"L","title":"Statewide summary for Florida","docAbstract":"

Throughout the past century, emergent wetlands have been declining across the Gulf of Mexico. Emergent wetland ecosystems provide a multitude of resources, including plant and wildlife habitat, commercial and recreational economic activity, and natural barriers against storms. As emergent wetland losses increase, so does the need for information on the causes and effects of this loss; emergent wetland mapping, monitoring, and restoration efforts; and education. This report provides scientists, managers, and citizens with valuable baseline information on the status and trends of emergent wetlands along the coast of the Gulf of Mexico. The Statewide Summary for Florida provides status and trends information for Florida using what data is available during the 1950-2010 time period.

The State of Florida (Figure 1) is approximately 151,670 km2 (58,560 mi2 ) large with an average elevation of 30.5 m (100 ft) (Dahl, 2005). The Florida gulf coast stretches approximately 1,000 km (621 miles) from the Alabama State line to the Dry Tortugas in the Florida Keys (Handley et al., 2007). The climate varies along the coast, ranging from temperate continental in the panhandle to oceanic subtropical in the Keys. Due to this climatic gradient, the Gulf coast of Florida is divisible into two ecoregions, the Louisianian in the north along the panhandle, and the West Indian in the south along the length of the peninsula (Bailey 1978). The Lousianian ecoregion extends from Cedar Key north and west along the panhandle to the Alabama state line. It is characterized by extensive emergent coastal wetlands, temperate fauna, small tidal ranges (

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Center","active":true,"usgs":true}],"preferred":true,"id":481232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumstark, René","contributorId":17903,"corporation":false,"usgs":true,"family":"Baumstark","given":"René","affiliations":[],"preferred":false,"id":481235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moyer, Ryan","contributorId":48460,"corporation":false,"usgs":true,"family":"Moyer","given":"Ryan","affiliations":[],"preferred":false,"id":481236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":481233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046211,"text":"70046211 - 2013 - Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption","interactions":[],"lastModifiedDate":"2013-07-05T10:47:26","indexId":"70046211","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":766,"text":"Andean Geology","active":true,"publicationSubtype":{"id":10}},"title":"Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption","docAbstract":"Chaitén Volcano erupted unexpectedly in May 2008 in one of the largest eruptions globally since the 1990s. It was the largest rhyolite eruption since the great eruption of Katmai Volcano in 1912, and the first rhyolite eruption to have at least some of its aspects monitored. The eruption consisted of an approximately 2-week-long explosive phase that generated as much as 1 km3 bulk volume tephra (~0.3 km3 dense rock equivalent) followed by an approximately 20-month-long effusive phase that erupted about 0.8 km3 of high-silica rhyolite lava that formed a new dome within the volcano’s caldera. Prior to its eruption, little was known about the eruptive history of the volcano or the hazards it posed to society. This edition of Andean Geology contains a selection of papers that discuss new insights on the eruptive history of Chaitén Volcano, and the broad impacts of and new insights obtained from analyses of the 2008-2009 eruption. Here, we summarize the geographic, tectonic, and climatic setting of Chaitén Volcano and the pre-2008 state of knowledge of its eruptive history to provide context for the papers in this edition, and we provide a revised chronology of the 2008-2009 eruption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Andean Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Servicio Nacional de Geología y Minería Gobierno de Chile","doi":"10.5027/andgeoV40n2-a01","usgsCitation":"Major, J.J., and Lara, L.E., 2013, Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption: Andean Geology, v. 40, no. 2, p. 196-215, https://doi.org/10.5027/andgeoV40n2-a01.","productDescription":"20 p.","startPage":"196","endPage":"215","ipdsId":"IP-043610","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5027/andgeov40n2-a01","text":"Publisher Index Page"},{"id":274487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274486,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5027/andgeoV40n2-a01"}],"country":"Chile","otherGeospatial":"Chait�n Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.651333,-42.837897 ], [ -72.651333,-42.837487 ], [ -72.650793,-42.837487 ], [ -72.650793,-42.837897 ], [ -72.651333,-42.837897 ] ] ] } } ] }","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"51d7dcd5e4b0b0351701e187","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}