{"pageNumber":"1434","pageRowStart":"35825","pageSize":"25","recordCount":165231,"records":[{"id":70046040,"text":"70046040 - 2013 - Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","interactions":[],"lastModifiedDate":"2017-02-13T14:31:47","indexId":"70046040","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","docAbstract":"1. Ecosystems at high altitudes and latitudes are expected to be particularly vulnerable to the effects of global change. We assessed the responses of littoral invertebrate communities to changing abiotic conditions in subarctic Swedish lakes with long-term data (1988–2010) and compared the responses of subarctic lakes with those of more southern, hemiboreal lakes. 2. We used a complex systems approach, based on multivariate time-series modelling, and identified dominant and distinct temporal frequencies in the data; that is, we tracked community change at distinct temporal scales. We determined the distribution of functional feeding groups of invertebrates within and across temporal scales. Within and cross-scale distributions of functions have been considered to confer resilience to ecosystems, despite changing environmental conditions. 3. Two patterns of temporal change within the invertebrate communities were identified that were consistent across the lakes. The first pattern was one of monotonic change associated with changing abiotic lake conditions. The second was one of showing fluctuation patterns largely unrelated to gradual environmental change. Thus, two dominant and distinct temporal frequencies (temporal scales) were present in all lakes analysed. 4. Although the contribution of individual feeding groups varied between subarctic and hemiboreal lakes, they shared overall similar functional attributes (richness, evenness, diversity) and redundancies of functions within and between the observed temporal scales. This highlights similar resilience characteristics in subarctic and hemiboreal lakes. 5. Synthesis and applications. The effects of global change can be particularly strong at a single scale in ecosystems. Over time, this can cause monotonic change in communities and eventually lead to a loss of important ecosystem services upon reaching a critical threshold. Dynamics at other spatial or temporal scales can be unrelated to environmental change. The relative ‘intactness’ of these scales that are unaffected by global change and the persistence of functions at those scales may safeguard the whole system from the potential loss of functions at the scale at which global change impacts can be substantial. Thus, an understanding of scale-specific processes provides managers with a realistic assessment of vulnerabilities and the relative resilience of ecosystems to environmental change. Explicit consideration of ‘intact’ and ‘affected’ scales in analyses of global change impacts provides opportunities to tailor more specific management plans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12092","usgsCitation":"Angeler, D., Allen, C.R., and Johnson, R.K., 2013, Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales: Journal of Applied Ecology, v. 50, no. 3, p. 572-584, https://doi.org/10.1111/1365-2664.12092.","productDescription":"13 p.","startPage":"572","endPage":"584","ipdsId":"IP-043647","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12092","text":"Publisher Index Page"},{"id":274251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274250,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12092"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-04-29","publicationStatus":"PW","scienceBaseUri":"51cbff56e4b052f2a4539877","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":478742,"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":478740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":478741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046696,"text":"ds754 - 2013 - National wildlife refuge visitor survey 2012--Individual refuge results","interactions":[],"lastModifiedDate":"2013-06-25T15:30:26","indexId":"ds754","displayToPublicDate":"2013-06-25T00:00:00","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":"754","title":"National wildlife refuge visitor survey 2012--Individual refuge results","docAbstract":"The National Wildlife Refuge System (Refuge System), established in 1903 and managed by the U.S. Fish and Wildlife Service (Service), is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 560 national wildlife refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts nearly 45 million visitors annually, including 34.8 million people who observe and photograph wildlife, 9.6 million who hunt and fish, and nearly 675,000 teachers and students who use refuges as outdoor classrooms. Understanding visitor perceptions of refuges and characterizing their experiences on refuges are critical elements of managing these lands and meeting the goals of the Refuge System. The Service collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The purpose of the survey was to better understand visitor experiences and trip characteristics, to gauge visitors’ levels of satisfaction with existing recreational opportunities, and to garner feedback to inform the design of programs and facilities. The survey results will inform performance, planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plans (CCPs), visitor services, and transportation planning processes. This Data Series consists of 25 separate data files. Each file describes the results of the survey for an individual refuge and contains the following information: • Introduction: An overview of the Refuge System and the goals of the national surveying effort. • Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results.• Refuge Description: A brief description of the refuge location, acreage, purpose, recreational activities, and visitation statistics, including a map (where available) and refuge website link. • Sampling at This Refuge: The sampling periods, locations, and response rate for the refuge. • Selected Survey Results: Key findings for the refuge, including: o Visitor and trip characteristics o Visitor spending in the local communities o Visitors opinions about the refuge o Visitor opinions about National Wildlife Refuge System topics • Conclusion • References Cited • Survey Frequencies (Appendix A): The survey instrument with frequency results for the refuge. • Visitor Comments (Appendix B): The verbatim responses to the open-ended survey questions for the refuge.Individual-refuge results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/643/ as part of USGS Data Series 643. Combined results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/685/ as part of USGS Data Series 685.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds754","usgsCitation":"Dietsch, A.M., Sexton, N.R., Koontz, L.M., and Conk, S.J., 2013, National wildlife refuge visitor survey 2012--Individual refuge results: U.S. Geological Survey Data Series 754, NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685, https://doi.org/10.3133/ds754.","productDescription":"NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science 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States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51caadd4e4b0d298e5434c11","contributors":{"authors":[{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conk, Shannon J.","contributorId":21516,"corporation":false,"usgs":true,"family":"Conk","given":"Shannon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480030,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046685,"text":"70046685 - 2013 - Toxic exposure of songbirds to lead in the Southeast Missouri Lead Mining District","interactions":[],"lastModifiedDate":"2017-02-22T12:45:59","indexId":"70046685","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Toxic exposure of songbirds to lead in the Southeast Missouri Lead Mining District","docAbstract":"<p>Mining and smelting in the Southeast Missouri Lead Mining District has caused widespread contamination of soils with lead (Pb) and other metals. Soils from three study sites sampled in the district contained from approximately 1,000&ndash;3,200 mg Pb/kg. Analyses of earthworms [33&ndash;4,600 mg Pb/kg dry weight (dw)] collected in the district showed likely high Pb exposure of songbirds preying on soil organisms. Mean tissue Pb concentrations in songbirds collected from the contaminated sites were greater (p &lt; 0.05) than those in songbirds from reference sites by factors of 8 in blood, 13 in liver, and 23 in kidney. Ranges of Pb concentrations in livers (mg Pb/kg dw) were as follows: northern cardinal (Cardinalis cardinalis) = 0.11&ndash;3.0 (reference) and 1.3&ndash;30 (contaminated) and American robin (Turdus migratorius) = 0.43&ndash;8.5 (reference) and 7.6&ndash;72 (contaminated). Of 34 adult and juvenile songbirds collected from contaminated sites, 11 (32 %) had hepatic Pb concentrations that were consistent with adverse physiological effects, 3 (9 %) with systemic toxic effects, and 4 (12 %) with life-threatening toxic effects. Acid-fast renal intranuclear inclusion bodies, which are indicative of Pb poisoning, were detected in kidneys of two robins that had the greatest renal Pb concentrations (952 and 1,030 mg/kg dw). Mean activity of the enzyme delta-aminolevulinic acid dehydratase (ALAD) in red blood cells, a well-established bioindicator of Pb poisoning in birds, was decreased by 58&ndash;82 % in songbirds from the mining sites. We conclude that habitats within the mining district with soil Pb concentrations of &ge;1,000 mg Pb/kg are contaminated to the extent that they are exposing ground-feeding songbirds to toxic concentrations of Pb.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-013-9923-3","usgsCitation":"Beyer, W.N., Franson, J., French, J.B., May, T., Rattner, B.A., Shearn-Bochsler, V.I., Warner, S.E., Weber, J., and Mosby, D., 2013, Toxic exposure of songbirds to lead in the Southeast Missouri Lead Mining District: Archives of Environmental Contamination and Toxicology, v. 65, no. 3, p. 598-610, https://doi.org/10.1007/s00244-013-9923-3.","productDescription":"13 p.","startPage":"598","endPage":"610","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":274135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274134,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-013-9923-3"}],"country":"United States","state":"Missouri","otherGeospatial":"Southeast Missouri Lead Mining District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.46005249023438,\n              37.87918931481653\n            ],\n            [\n              -90.19844055175781,\n              37.67132087507\n            ],\n            [\n              -90.08583068847656,\n              37.63000336572686\n            ],\n            [\n              -90.09269714355469,\n              37.580500850738936\n            ],\n            [\n              -90.09132385253906,\n              37.567984011320256\n            ],\n            [\n              -90.21286010742188,\n              37.50318937824072\n            ],\n            [\n              -90.48751831054686,\n              37.53314347453068\n            ],\n            [\n              -90.53489685058592,\n              37.64414088995593\n            ],\n            [\n              -90.64338684082031,\n              37.67403832629551\n            ],\n            [\n              -90.74913024902344,\n              37.73651223296987\n            ],\n            [\n              -91.01348876953125,\n              37.76257271890943\n            ],\n            [\n              -91.00044250488281,\n              38.02862223458794\n            ],\n            [\n              -90.75531005859375,\n              38.211209018340156\n            ],\n            [\n              -90.7415771484375,\n              38.342194744416744\n            ],\n            [\n              -90.70037841796875,\n              38.427235596542275\n            ],\n            [\n              -90.61317443847655,\n              38.51056455837575\n            ],\n            [\n              -90.50674438476562,\n              38.504116723098505\n            ],\n            [\n              -90.43052673339844,\n              38.04538737239996\n            ],\n            [\n              -90.46005249023438,\n              37.87918931481653\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.15837097167967,\n              37.82442958216432\n            ],\n            [\n              -91.01692199707031,\n              37.82009043941308\n            ],\n            [\n              -91.02310180664062,\n              37.28060928450999\n            ],\n            [\n              -91.2366485595703,\n              37.28279464911045\n            ],\n            [\n              -91.21673583984375,\n              37.75008654795525\n            ],\n            [\n              -91.15837097167967,\n              37.82442958216432\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-15","publicationStatus":"PW","scienceBaseUri":"51caadd5e4b0d298e5434c15","contributors":{"authors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. 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,{"id":70046691,"text":"sim3263 - 2013 - Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T14:00:01","indexId":"sim3263","displayToPublicDate":"2013-06-25T00:00:00","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":"3263","title":"Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"<p>Most of the subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction mostly in the clay and silt layers of the aquifer sediments. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains maps depicting approximate water-level altitudes for 2013 (represented by measurements made during December 2012-February 2013) for the Chicot, Evangeline, and Jasper aquifers; maps depicting 1-year (2012-13) water-level changes for each aquifer; maps depicting 5-year (2008--13) water-level changes for each aquifer; maps depicting long-term (1990-2013 and 1977-2013) water-level changes for the Chicot and Evangeline aquifers; a map depicting long-term (2000-13) water-level changes for the Jasper aquifer; a map depicting locations of borehole-extensometer sites; and graphs depicting measured compaction of subsurface sediments at the extensometers during 1973-2012. Tables listing the data used to construct each water-level map for each aquifer and the compaction graphs are included.</p>\n<p>In 2013, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 ft above datum in central to west-central Montgomery County. Water-level changes during 2012-13 in the Chicot aquifer ranged from a 58-ft decline to a 37-ft rise. Contoured 5-year and long-term changes in water levels in the Chicot aquifer ranged from a 30-ft decline to an 80-ft rise (2008-13), from a 120-ft decline to a 100-ft rise (1990-2013), and from an 80-ft decline to a 200-ft rise (1977-2013). In 2013, water-level-altitude contours for the Evangeline aquifer ranged from 300 ft below datum in south-central Montgomery County to 200 ft above datum in southeastern Grimes and northwestern Montgomery Counties. Water-level changes for 2012-13 in the Evangeline aquifer ranged from a 37-ft decline to a 68-ft rise. Contoured 5-year and long-term changes in water levels in the Evangeline aquifer ranged from an 80-ft decline to an 80-ft rise (2008-13), from a 220-ft decline to a 220-ft rise (1990-2013), and from a 360-ft decline to a 260-ft rise (1977-2013). In 2013, water-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum in south-central Montgomery and north-central Harris Counties to 250 ft above datum in northwestern Montgomery County and extending into northeastern Grimes and south-central Walker Counties. Water-level changes for 2012-13 in the Jasper aquifer ranged from a 36-ft decline to an 87-ft rise. Contoured changes in water levels in the Jasper aquifer ranged from a 100-ft decline to 20-ft rise (2008-13) and from a 220-ft decline to no change (2000-13).</p>\n<p>Compaction of subsurface sediments (mostly in the clay and silt layers) of the Chicot and Evangeline aquifers was recorded continuously by 13 borehole extensometers at 11 sites that were either activated or installed between 1973 and 1980. For the period of record beginning in 1973 (or later depending on activation or installation date) and ending in December 2012, cumulative measured compaction by 12 of the 13 extensometers ranged from 0.100 ft at the Texas City-Moses Lake extensometer to 3.632 ft at the Addicks extensometer (data were used from only one of two extensometers at one site). The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface sediments. Therefore, it is not possible to extrapolate or infer a rate of compaction for adjacent areas based on the rate of compaction measured at a nearby extensometer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3263","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Johnson, M., and Ramage, J.K., 2013, Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3263, Report: viii, 19 p.; 16 Sheets: 17.00 x 22.01 inches or smaller; 15 Tables: xlsx files; 3 Appendixes; Dataset; ReadME file, https://doi.org/10.3133/sim3263.","productDescription":"Report: viii, 19 p.; 16 Sheets: 17.00 x 22.01 inches or smaller; 15 Tables: xlsx files; 3 Appendixes; Dataset; ReadME file","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":274183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3263.gif"},{"id":274161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet01.pdf"},{"id":274162,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet02.pdf"},{"id":274159,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3263/SIM_3263.pdf"},{"id":274160,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3263/"},{"id":274163,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet03.pdf"},{"id":274164,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet04.pdf"},{"id":274165,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet05.pdf"},{"id":274166,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet06.pdf"},{"id":274167,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet08.pdf"},{"id":274168,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet07.pdf"},{"id":274170,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet09.pdf"},{"id":274171,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet10.pdf"},{"id":274172,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet11.pdf"},{"id":274173,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet12.pdf"},{"id":274174,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet13.pdf"},{"id":274175,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet15.pdf"},{"id":274176,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet14.pdf"},{"id":274177,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet16.pdf"},{"id":274178,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Tables/"},{"id":274179,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Appendixes/"},{"id":274180,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Metadata/"},{"id":274181,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Metadata/README.TXT"}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1927","country":"United States","state":"Texas","city":"Galveston, Houston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.0782,29.1294 ], [ -96.0782,30.7218 ], [ -94.4948,30.7218 ], [ -94.4948,29.1294 ], [ -96.0782,29.1294 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51caadd5e4b0d298e5434c19","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045517,"text":"70045517 - 2013 - Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model","interactions":[],"lastModifiedDate":"2020-12-18T19:45:23.718589","indexId":"70045517","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model","docAbstract":"<p><span>The National Petroleum Reserve–Alaska (NPR-A) in northeastern Alaska provides winter maternal denning habitat for polar bears (</span><i>Ursus maritimus</i><span>) and also has high potential for recoverable hydrocarbons. Denning polar bears exposed to human activities may abandon their dens before their young are able to survive the severity of Arctic winter weather. To ensure that wintertime petroleum activities do not threaten polar bears, managers need to know the distribution of landscape features in which maternal dens are likely to occur. Here, we present a map of potential denning habitat within the NPR-A. We used a fine-grain digital elevation model derived from Interferometric Synthetic Aperture Radar (IfSAR) to generate a map of putative denning habitat. We then tested the map’s ability to identify polar bear denning habitat on the landscape. Our final map correctly identified 82% of denning habitat estimated to be within the NPR-A. Mapped denning habitat comprised 19.7 km2 (0.1% of the study area) and was widely dispersed. Though mapping denning habitat with IfSAR data was as effective as mapping with the photogrammetric methods used for other regions of the Alaskan Arctic coastal plain, the use of GIS to analyze IfSAR data allowed greater objectivity and flexibility with less manual labor. Analytical advantages and performance equivalent to that of manual cartographic methods suggest that the use of IfSAR data to identify polar bear maternal denning habitat is a better management tool in the NPR-A and wherever such data may be available.</span></p>","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4291","usgsCitation":"Durner, G.M., Simac, K.S., and Amstrup, S.C., 2013, Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model: Arctic, v. 66, no. 2, p. 139-245, https://doi.org/10.14430/arctic4291.","productDescription":"107 p.","startPage":"139","endPage":"245","ipdsId":"IP-042296","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":489049,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4291","text":"Publisher Index Page"},{"id":438786,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DJ5DXT","text":"USGS data release","linkHelpText":"Mapping data of Polar Bear (Ursus maritimus) maternal den habitat, Arctic Coastal Plain, Alaska"},{"id":381515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"66","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"51caadcfe4b0d298e5434c0d","contributors":{"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":477707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045390,"text":"70045390 - 2013 - Linking morphodynamic response with sediment mass balance on the Colorado River in Marble Canyon: issues of scale, geomorphic setting, and sampling design","interactions":[],"lastModifiedDate":"2018-03-21T15:45:54","indexId":"70045390","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Linking morphodynamic response with sediment mass balance on the Colorado River in Marble Canyon: issues of scale, geomorphic setting, and sampling design","docAbstract":"Measurements of morphologic change are often used to infer sediment mass balance. Such measurements may, however, result in gross errors when morphologic changes over short reaches are extrapolated to predict changes in sediment mass balance for long river segments. This issue is investigated by examination of morphologic change and sediment influx and efflux for a 100 km segment of the Colorado River in Grand Canyon, Arizona. For each of four monitoring intervals within a 7 year study period, the direction of sand-storage response within short morphologic monitoring reaches was consistent with the flux-based sand mass balance. Both budgeting methods indicate that sand storage was stable or increased during the 7 year period. Extrapolation of the morphologic measurements outside the monitoring reaches does not, however, provide a reasonable estimate of the magnitude of sand-storage change for the 100 km study area. Extrapolation results in large errors, because there is large local variation in site behavior driven by interactions between the flow and local bed topography. During the same flow regime and reach-average sediment supply, some locations accumulate sand while others evacuate sand. The interaction of local hydraulics with local channel geometry exerts more control on local morphodynamic response than sand supply over an encompassing river segment. Changes in the upstream supply of sand modify bed responses but typically do not completely offset the effect of local hydraulics. Thus, accurate sediment budgets for long river segments inferred from reach-scale morphologic measurements must incorporate the effect of local hydraulics in a sampling design or avoid extrapolation altogether.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrf.20050","usgsCitation":"Grams, P.E., Topping, D.J., Schmidt, J.C., Hazel, J., and Kaplinski, M., 2013, Linking morphodynamic response with sediment mass balance on the Colorado River in Marble Canyon: issues of scale, geomorphic setting, and sampling design: Journal of Geophysical Research F: Earth Surface, v. 118, no. 2, p. 361-381, https://doi.org/10.1002/jgrf.20050.","productDescription":"21 p.","startPage":"361","endPage":"381","ipdsId":"IP-040352","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrf.20050","text":"Publisher Index Page"},{"id":274089,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20050"},{"id":274090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Marble Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.641405,36.808917 ], [ -111.641405,36.819093 ], [ -111.631371,36.819093 ], [ -111.631371,36.808917 ], [ -111.641405,36.808917 ] ] ] } } ] }","volume":"118","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-04","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57ac","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":477332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":477334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":477333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hazel, Joseph E. Jr.","contributorId":91819,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":477336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaplinski, Matt","contributorId":65817,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matt","affiliations":[],"preferred":false,"id":477335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045101,"text":"70045101 - 2013 - Location and timing of Asian carp spawning in the Lower Missouri River","interactions":[],"lastModifiedDate":"2017-05-24T12:48:17","indexId":"70045101","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Location and timing of Asian carp spawning in the Lower Missouri River","docAbstract":"<p><span>We sampled for eggs of Asian carps, (bighead carp </span><i class=\"EmphasisTypeItalic \">Hypophthalmichthys nobilis,</i><span> silver carp </span><i class=\"EmphasisTypeItalic \">H. molitrix</i><span>, and grass carp </span><i class=\"EmphasisTypeItalic \">Ctenopharyngodon idella</i><span>) in 12 sites on the Lower Missouri River and in six tributaries from the months of May through July 2005 and May through June 2006 to examine the spatial and temporal dynamics of spawning activity. We categorized eggs into thirty developmental stages, but usually they could not be identified to species. We estimated spawning times and locations based on developmental stage, temperature dependent rate of development and water velocity. Spawning rate was higher in the daytime between 05:00 and 21:00&nbsp;h than at night. Spawning was not limited to a few sites, as has been reported for the Yangtze River, where these fishes are native, but more eggs were spawned in areas of high sinuosity. We employ a sediment transport model to estimate vertical egg concentration profiles and total egg fluxes during spawning periods on the Missouri River. We did not identify substantial spawning activity within tributaries or at tributary confluences examined in this study.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-012-0052-z","usgsCitation":"Deters, J.E., Chapman, D., and McElroy, B., 2013, Location and timing of Asian carp spawning in the Lower Missouri River: Environmental Biology of Fishes, v. 96, no. 5, p. 617-629, https://doi.org/10.1007/s10641-012-0052-z.","productDescription":"13 p.","startPage":"617","endPage":"629","ipdsId":"IP-026008","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":274094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274093,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-012-0052-z"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.63,38.44 ], [ -96.63,42.6 ], [ -90.06,42.6 ], [ -90.06,38.44 ], [ -96.63,38.44 ] ] ] } } ] }","volume":"96","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-07-15","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57b0","contributors":{"authors":[{"text":"Deters, Joseph E. jdeters@usgs.gov","contributorId":3240,"corporation":false,"usgs":true,"family":"Deters","given":"Joseph","email":"jdeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":476796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":476795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McElroy, Brandon 0000-0002-9683-4282","orcid":"https://orcid.org/0000-0002-9683-4282","contributorId":90453,"corporation":false,"usgs":true,"family":"McElroy","given":"Brandon","email":"","affiliations":[],"preferred":false,"id":476797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046675,"text":"fs20123142 - 2013 - Environmental health science at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2013-06-24T12:27:11","indexId":"fs20123142","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3142","title":"Environmental health science at the U.S. Geological Survey","docAbstract":"USGS environmental health science focuses on the environment-health interface. Research characterizes the processes that affect the interaction among the physical environment, the living environment, and people, as well as the factors that affect ecological and human exposure to disease agents and the resulting toxicologic or infectious disease. The mission of USGS in environmental health science is to contribute scientific information to environmental, natural resource, agricultural, and public-health managers, who use that information to support sound decisionmaking. Coordination with partners and stakeholders will enable USGS to focus on the highest priority environmental health issues, to make relevant, timely, and useable contributions, and to become a “partner of first choice” for environmental health science.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123142","usgsCitation":"Buxton, H.T., and Bright, P.R., 2013, Environmental health science at the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2012-3142, 2 p., https://doi.org/10.3133/fs20123142.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":489,"text":"Office of Associate Director-Environmental Health","active":false,"usgs":true}],"links":[{"id":274103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20123142.gif"},{"id":274101,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3142/"},{"id":274102,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3142/fs2012-3142.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c52e4b0a50a6e8f579c","contributors":{"authors":[{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bright, Patricia R. 0000-0002-9067-453X pbright@usgs.gov","orcid":"https://orcid.org/0000-0002-9067-453X","contributorId":3968,"corporation":false,"usgs":true,"family":"Bright","given":"Patricia","email":"pbright@usgs.gov","middleInitial":"R.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479983,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046684,"text":"sir20135098 - 2013 - Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","interactions":[],"lastModifiedDate":"2013-06-24T15:51:50","indexId":"sir20135098","displayToPublicDate":"2013-06-24T00:00:00","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":"2013-5098","title":"Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","docAbstract":"As part of an environmental investigation at Fort Wingate Depot Activity, New Mexico, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, interpreted aqueous geochemical concentrations to better understand the groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer underlying the study area. The fine-grained nature of the alluvial matrix creates a highly heterogeneous environment, which adds to the difficulty of characterizing the flow of groundwater and the fate of aqueous constituents of concern. The analysis of the groundwater geochemical data collected in October 2009 provides evidence that is used to identify four groundwater flow paths and their extent in the aquifer and indicates the dominant attenuation processes for the constituents of concern.\n\nThe extent and interaction of groundwater flow paths were delineated by the major ion concentrations and their relations to each other. Four areas of groundwater recharge to the study area were identified based on groundwater elevations, hydrogeologic characteristics, and geochemical and isotopic evidence. One source of recharge enters the study area from the saturated alluvial deposits underlying the South Fork of the Puerco River to the north of the study area. A second source of recharge is shown to originate from a leaky cistern containing production water from the San Andres-Glorieta aquifer. The other two sources of recharge are shown to enter the study area from the south: one from an arroyo valley draining an area to the south and one from hill-front recharge that passes under the reported release of perchlorate and explosive constituents. The spatial extent and interaction of groundwater originating from these various sources along identified flow paths affect the persistence and attenuation of constituents of concern.\n\nIt was determined that groundwater originating in the area of a former explosives’ wash-out operation and an accidental spill of perchlorate was spatially limited, and that dilution is the primary attenuation process for these constituents. The explosive concentrations of the nitramine 1,3,5-trinitroperhydro-1,3,5-triazine (RDX) and the oxidizer perchlorate both support that determination. Unlike RDX and perchlorate, there were no detectable concentrations of trinitrotoluene (TNT) in the aquifer. Based on the chemical nature of TNT and the redox conditions found in the aquifer, it is interpreted that TNT is lost to irreversible sorption and aerobic degradation. Nitrate was ubiquitous in the alluvial groundwater in October 2009. The nitrate concentrations in wells associated with the explosives’ groundwater flow path indicate attenuation primarily through dilution, similar to that of RDX. The origin of nitrate concentrations in the wells located in the Administration Area is uncertain but may have resulted from the leakage of aging clay sewage pipes that service most of the structures within that area or as a relic of a former hydrologic regime in which water from the washout operation migrated across a broader area. Sufficient data do not exist to definitively identify the location(s) of water discharge in this area, but transpiration from near the Administration Area is supported by the geochemical concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135098","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Robertson, A.J., Henry, D.W., and Langman, J.B., 2013, Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009: U.S. Geological Survey Scientific Investigations Report 2013-5098, vii, 89 p., https://doi.org/10.3133/sir20135098.","productDescription":"vii, 89 p.","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":274129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135098.gif"},{"id":274128,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5098/sir2013-5098.pdf"},{"id":274127,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5098/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fort Wingate Depot Activity","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.833333,35.166667 ], [ -108.833333,35.666667 ], [ -108.166667,35.666667 ], [ -108.166667,35.166667 ], [ -108.833333,35.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a4","contributors":{"authors":[{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, David W.","contributorId":7593,"corporation":false,"usgs":true,"family":"Henry","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langman, Jeffery B.","contributorId":8359,"corporation":false,"usgs":true,"family":"Langman","given":"Jeffery","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":480006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046672,"text":"ofr20131123 - 2013 - Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","interactions":[],"lastModifiedDate":"2013-06-24T08:57:51","indexId":"ofr20131123","displayToPublicDate":"2013-06-24T00:00:00","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":"2013-1123","title":"Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","docAbstract":"Cheney Reservoir, located in south-central Kansas, is one of the primary water supplies for the city of Wichita, Kansas. The U.S. Geological Survey has operated a continuous real-time water-quality monitoring station in Cheney Reservoir since 2001; continuously measured physicochemical properties include specific conductance, pH, water temperature, dissolved oxygen, turbidity, fluorescence (wavelength range 650 to 700 nanometers; estimate of total chlorophyll), and reservoir elevation. Discrete water-quality samples were collected during 2001 through 2009 and analyzed for sediment, nutrients, taste-and-odor compounds, cyanotoxins, phytoplankton community composition, actinomycetes bacteria, and other water-quality measures. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physicochemical properties to compute concentrations of constituents that are not easily measured in real time. The water-quality information in this report is important to the city of Wichita because it allows quantification and characterization of potential constituents of concern in Cheney Reservoir.\n\nThis report updates linear regression models published in 2006 that were based on data collected during 2001 through 2003. The update uses discrete and continuous data collected during May 2001 through December 2009. Updated models to compute dissolved solids, sodium, chloride, and suspended solids were similar to previously published models. However, several other updated models changed substantially from previously published models. In addition to updating relations that were previously developed, models also were developed for four new constituents, including magnesium, dissolved phosphorus, actinomycetes bacteria, and the cyanotoxin microcystin. In addition, a conversion factor of 0.74 was established to convert the Yellow Springs Instruments (YSI) model 6026 turbidity sensor measurements to the newer YSI model 6136 sensor at the Cheney Reservoir site.\n\nBecause a high percentage of geosmin and microcystin data were below analytical detection thresholds (censored data), multiple logistic regression was used to develop models that best explained the probability of geosmin and microcystin concentrations exceeding relevant thresholds. The geosmin and microcystin models are particularly important because geosmin is a taste-and-odor compound and microcystin is a cyanotoxin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131123","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., Graham, J.L., and Gatotho, J.W., 2013, Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009: U.S. Geological Survey Open-File Report 2013-1123, x, 100 p., https://doi.org/10.3133/ofr20131123.","productDescription":"x, 100 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2001-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":274082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131123.gif"},{"id":274080,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1123/"},{"id":274081,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1123/ofr2013-1123.pdf"}],"country":"United States","state":"Kansas","city":"Cheney","otherGeospatial":"Cheney Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.904354,37.717691 ], [ -97.904354,37.824492 ], [ -97.774518,37.824492 ], [ -97.774518,37.717691 ], [ -97.904354,37.717691 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57bc","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":479980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gatotho, Jackline W.","contributorId":76616,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":479981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045533,"text":"70045533 - 2013 - Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA","interactions":[],"lastModifiedDate":"2018-07-14T14:12:53","indexId":"70045533","displayToPublicDate":"2013-06-24T00:00:00","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":"Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA","docAbstract":"The Yukon-Kuskokwim Delta (Y-K Delta) in western Alaska is an immense and important breeding ground for waterfowl. Migratory birds from the Pacific Americas, Central Pacific, and East Asian-Australasian flyways converge in this region, providing opportunities for intermixing of North American- and Eurasian-origin hosts and infectious agents, such as avian influenza virus (AIV). We characterized the genomes of 90 low pathogenic (LP) AIV isolates from 11 species of waterfowl sampled on the Y-K Delta between 2006 and 2009 as part of an interagency surveillance program for the detection of the H5N1 highly pathogenic (HP) strain of AIV. We found evidence for subtype and genetic differences between viruses from swans and geese, dabbling ducks, and sea ducks. At least one gene segment in 39% of all isolates was Eurasian in origin. Target species (those ranked as having a relatively high potential to introduce HP H5N1 AIV to North America) were no more likely than nontarget species to carry viruses with genes of Eurasian origin. These findings provide evidence that the frequency at which viral gene segments of Eurasian origin are detected does not result from a strong species effect, but rather we suspect it is linked to the geographic location of the Y-K Delta in western Alaska where flyways from different continents overlap. This study provides support for retaining the Y-K Delta as a high priority region for the surveillance of Asian avian pathogens such as HP H5N1 AIV.","language":"English","publisher":"WDA","doi":"10.7589/2012-04-108","usgsCitation":"Reeves, A.B., Pearce, J.M., Ramey, A.M., Ely, C.R., Schmutz, J.A., Flint, P.L., Derksen, D.V., Ip, S., and Trust, K.A., 2013, Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA: Journal of Wildlife Diseases, v. 49, no. 3, p. 600-610, https://doi.org/10.7589/2012-04-108.","productDescription":"11 p.","startPage":"600","endPage":"610","ipdsId":"IP-041234","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":274133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2012-04-108"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"49","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a0","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":477770,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trust, Kimberly A.","contributorId":42503,"corporation":false,"usgs":false,"family":"Trust","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":477777,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046682,"text":"ofr20121189 - 2013 - Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update","interactions":[],"lastModifiedDate":"2013-06-24T14:20:41","indexId":"ofr20121189","displayToPublicDate":"2013-06-24T00:00:00","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":"2012-1189","title":"Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update","docAbstract":"Information on rates and trends of shoreline change can be used to improve the understanding of the underlying causes and potential effects of coastal erosion on coastal populations and infrastructure and can support informed coastal management decisions. In this report, we summarize the changes in the historical positions of the shoreline of the Massachusetts coast for the 165 years from 1844 through 2009. The study area includes the Massachusetts coastal region from Salisbury to Westport, including Cape Cod, as well as Martha’s Vineyard, Nantucket, and the Elizabeth Islands. New statewide shoreline data were developed for approximately 1,804 kilometers (1,121 miles) of shoreline using color aerial orthoimagery from 2008 and 2009 and topographic lidar from 2007.\n\nThe shoreline data were integrated with existing historical shoreline data from the U.S. Geological Survey (USGS) and Massachusetts Office of Coastal Zone Management (CZM) to compute long- (about 150 years) and short-term (about 30 years) rates of shoreline change. A linear regression method was used to calculate long- and short-term rates of shoreline change at 26,510 transects along the Massachusetts coast. In locations where shoreline data were insufficient to use the linear regression method, short-term rates were calculated using an end-point method.\n\nLong-term rates of shoreline change are calculated with (LTw) and without (LTwo) shorelines from the 1970s and 1994 to examine the effect of removing these data on measured rates of change. Regionally averaged rates are used to assess the general characteristics of the two-rate computations, and we find that (1) the rates of change for both LTw and LTwo are essentially the same; (2) including more data slightly reduces the uncertainty of the rate, which is expected as the number of shorelines increases; and (3) the data for the shorelines from the 1970s and 1994 are not outliers with respect to the long-term trend. These findings are true for regional averages, but may not hold at specific transects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121189","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Thieler, E.R., Smith, T.L., Knisel, J.M., and Sampson, D.W., 2013, Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update: U.S. Geological Survey Open-File Report 2012-1189, vi, 42 p., https://doi.org/10.3133/ofr20121189.","productDescription":"vi, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121189.gif"},{"id":274123,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1189/"},{"id":274124,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1189/pdf/ofr2012-1189_report_508.pdf"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5081,41.2384 ], [ -73.5081,42.8868 ], [ -69.9278,42.8868 ], [ -69.9278,41.2384 ], [ -73.5081,41.2384 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57b8","contributors":{"authors":[{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Theresa L.","contributorId":80163,"corporation":false,"usgs":true,"family":"Smith","given":"Theresa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knisel, Julia M.","contributorId":20630,"corporation":false,"usgs":true,"family":"Knisel","given":"Julia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sampson, Daniel W.","contributorId":24259,"corporation":false,"usgs":true,"family":"Sampson","given":"Daniel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045751,"text":"70045751 - 2013 - Linking geology and health sciences to assess childhood lead poisoning from artisanal gold mining in Nigeria","interactions":[],"lastModifiedDate":"2013-06-24T09:58:06","indexId":"70045751","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Linking geology and health sciences to assess childhood lead poisoning from artisanal gold mining in Nigeria","docAbstract":"Background: In 2010, Médecins Sans Frontières discovered a lead poisoning outbreak linked to artisanal gold processing in northwestern Nigeria. The outbreak has killed approximately 400 young children and affected thousands more.\n\nObjectives: Our aim was to undertake an interdisciplinary geological- and health-science assessment to clarify lead sources and exposure pathways, identify additional toxicants of concern and populations at risk, and examine potential for similar lead poisoning globally.\n\nMethods: We applied diverse analytical methods to ore samples, soil and sweep samples from villages and family compounds, and plant foodstuff samples.\n\nResults: Natural weathering of lead-rich gold ores before mining formed abundant, highly gastric-bioaccessible lead carbonates. The same fingerprint of lead minerals found in all sample types confirms that ore processing caused extreme contamination, with up to 185,000 ppm lead in soils/sweep samples and up to 145 ppm lead in plant foodstuffs. Incidental ingestion of soils via hand-to-mouth transmission and of dusts cleared from the respiratory tract is the dominant exposure pathway. Consumption of water and foodstuffs contaminated by the processing is likely lesser, but these are still significant exposure pathways. Although young children suffered the most immediate and severe consequences, results indicate that older children, adult workers, pregnant women, and breastfed infants are also at risk for lead poisoning. Mercury, arsenic, manganese, antimony, and crystalline silica exposures pose additional health threats.\n\nConclusions: Results inform ongoing efforts in Nigeria to assess lead contamination and poisoning, treat victims, mitigate exposures, and remediate contamination. Ore deposit geology, pre-mining weathering, and burgeoning artisanal mining may combine to cause similar lead poisoning disasters elsewhere globally.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Health Perspectives","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Institute of Environmental Health Sciences","doi":"10.1289/ehp.1206051","usgsCitation":"Plumlee, G.S., Durant, J.T., Morman, S.A., Neri, A., Wolf, R.E., Dooyema, C.A., Hageman, P.L., Lowers, H., Fernette, G., Meeker, G.P., Benzel, W., Driscoll, R.L., Berry, C.J., Crock, J.G., Goldstein, H., Adams, M., Bartrem, C.L., Tirima, S., Behrooz, B., von Lindern, I., and Brown, M.J., 2013, Linking geology and health sciences to assess childhood lead poisoning from artisanal gold mining in Nigeria: Environmental Health Perspectives, v. 121, p. 744-750, https://doi.org/10.1289/ehp.1206051.","productDescription":"7 p.","startPage":"744","endPage":"750","ipdsId":"IP-042381","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1289/ehp.1206051","text":"Publisher Index Page"},{"id":274088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274087,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1289/ehp.1206051"}],"country":"Nigeria","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 2.68,4.27 ], [ 2.68,13.89 ], [ 14.68,13.89 ], [ 14.68,4.27 ], [ 2.68,4.27 ] ] ] } } ] }","volume":"121","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a8","contributors":{"authors":[{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durant, James T.","contributorId":26213,"corporation":false,"usgs":true,"family":"Durant","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":478268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neri, Antonio","contributorId":51633,"corporation":false,"usgs":true,"family":"Neri","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":478272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dooyema, Carrie A.","contributorId":23052,"corporation":false,"usgs":true,"family":"Dooyema","given":"Carrie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478267,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":478257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fernette, Gregory L. gfernette@usgs.gov","contributorId":4224,"corporation":false,"usgs":true,"family":"Fernette","given":"Gregory L.","email":"gfernette@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":478266,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meeker, Gregory P.","contributorId":62974,"corporation":false,"usgs":true,"family":"Meeker","given":"Gregory","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478274,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478265,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Driscoll, Rhonda L. 0000-0001-7725-8956 rdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-8956","contributorId":745,"corporation":false,"usgs":true,"family":"Driscoll","given":"Rhonda","email":"rdriscoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478258,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Berry, Cyrus J. cjberry@usgs.gov","contributorId":946,"corporation":false,"usgs":true,"family":"Berry","given":"Cyrus","email":"cjberry@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478261,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":478256,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":478269,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478264,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Bartrem, Casey L.","contributorId":89047,"corporation":false,"usgs":true,"family":"Bartrem","given":"Casey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478276,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tirima, Simba","contributorId":51634,"corporation":false,"usgs":true,"family":"Tirima","given":"Simba","email":"","affiliations":[],"preferred":false,"id":478273,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Behrooz, Behbod","contributorId":64543,"corporation":false,"usgs":true,"family":"Behrooz","given":"Behbod","email":"","affiliations":[],"preferred":false,"id":478275,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"von Lindern, Ian","contributorId":50435,"corporation":false,"usgs":true,"family":"von Lindern","given":"Ian","email":"","affiliations":[],"preferred":false,"id":478271,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Brown, Mary Jean","contributorId":47276,"corporation":false,"usgs":true,"family":"Brown","given":"Mary","email":"","middleInitial":"Jean","affiliations":[],"preferred":false,"id":478270,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70210741,"text":"70210741 - 2013 - Yellowstone River Compact Commission sixty-second annual report, 2013","interactions":[],"lastModifiedDate":"2022-04-18T14:36:45.196026","indexId":"70210741","displayToPublicDate":"2013-06-23T10:48:15","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"displayTitle":"Yellowstone River Compact Commission Sixty-Second Annual Report, 2013","title":"Yellowstone River Compact Commission sixty-second annual report, 2013","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"Yellowstone River Compact Commission","usgsCitation":"Berkas, W.R., 2013, Yellowstone River Compact Commission sixty-second annual report, 2013: Cooperator Report, xvii, 39 p.","productDescription":"xvii, 39 p.","ipdsId":"IP-061269","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":375854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375799,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/water-resources/YRCC-docs/YRCCAnnualReport2013.pdf"}],"country":"United States","state":"Montana, North Dakota, Wyoming","otherGeospatial":"Yellowstone River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.6669921875,\n              48.03401915864286\n            ],\n            [\n              -103.86474609375,\n              48.48748647988415\n            ],\n            [\n              -104.56787109374999,\n              48.531157010976706\n            ],\n            [\n              -106.9189453125,\n              47.15984001304432\n            ],\n            [\n              -110.61035156249999,\n              46.63435070293566\n            ],\n            [\n              -111.51123046875,\n              46.118941506107056\n            ],\n            [\n              -111.15966796875,\n              45.1510532655634\n            ],\n            [\n              -110.36865234374999,\n              44.19795903948531\n            ],\n            [\n              -108.96240234375,\n              42.73087427928485\n            ],\n            [\n              -107.75390625,\n              42.48830197960227\n            ],\n            [\n              -106.45751953125,\n              43.16512263158296\n            ],\n            [\n              -105.18310546875,\n              44.574817404670306\n            ],\n            [\n              -103.6669921875,\n              48.03401915864286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Berkas, Wayne R. wrberkas@usgs.gov","contributorId":425,"corporation":false,"usgs":true,"family":"Berkas","given":"Wayne","email":"wrberkas@usgs.gov","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791191,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045411,"text":"70045411 - 2013 - Eruptions at Lone Star Geyser, Yellowstone National Park, USA, part 1: energetics and eruption dynamics","interactions":[],"lastModifiedDate":"2018-03-05T17:09:06","indexId":"70045411","displayToPublicDate":"2013-06-21T00:00:00","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":"Eruptions at Lone Star Geyser, Yellowstone National Park, USA, part 1: energetics and eruption dynamics","docAbstract":"<p>Geysers provide a natural laboratory to study multiphase eruptive processes. We present results from a four&ndash;day experiment at Lone Star Geyser in Yellowstone National Park, USA. We simultaneously measured water discharge, acoustic emissions, infraredintensity, and visible and infrared video to quantify the energetics and dynamics of eruptions, occurring approximately every three hours. We define four phases in the eruption cycle: 1) a 28&thinsp;&plusmn;&thinsp;3 minute phase with liquid and steam fountaining, with maximum jet velocities of 16&ndash;28&thinsp;m s<sup>&minus;&thinsp;1</sup>, steam mass fraction of less than &sim;&thinsp;0.01. Intermittently choked flow and flow oscillations with periods increasing from 20 to 40&thinsp;s are coincident with a decrease in jet velocity and an increase of steam fraction; 2) a 26&thinsp;&plusmn;&thinsp;8 minute post&ndash;eruption relaxation phase with no discharge from the vent, infrared (IR) and acoustic power oscillations gliding between 30 and 40&thinsp;s; 3) a 59&thinsp;&plusmn;&thinsp;13 minute recharge period during which the geyser is quiescent and progressively refills, and 4) a 69&thinsp;&plusmn;&thinsp;14 minute pre&ndash;play period characterized by a series of 5&ndash;10&thinsp;minute&ndash;long pulses of steam, small volumes of liquid water discharge and 50&ndash;70&thinsp;s flow oscillations. The erupted waters ascend froma 160&thinsp;&minus;&thinsp;170&deg; C reservoir and the volume discharged during the entire eruptive cycle is 20.8&thinsp;&plusmn;&thinsp;4.1 m<sup>3</sup>. Assuming isentropic expansion, we calculate a heat output from the geyser of 1.4&ndash;1.5&thinsp;MW, which is &lt;&thinsp;0.1% of the total heat output from Yellowstone Caldera.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrb.50251","usgsCitation":"Karlstrom, L., Hurwitz, S., Sohn, R., Vandemeulebrouck, J., Murphy, F., Rudolph, M., Johnston, M.J., Manga, M., and McCleskey, R.B., 2013, Eruptions at Lone Star Geyser, Yellowstone National Park, USA, part 1: energetics and eruption dynamics: Journal of Geophysical Research B: Solid Earth, v. 118, no. 8, p. 4048-4062, https://doi.org/10.1002/jgrb.50251.","productDescription":"14 p.","startPage":"4048","endPage":"4062","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045112","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50251","text":"Publisher Index Page"},{"id":274060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50251"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05804443359375,\n              44.39454219215587\n            ],\n            [\n              -111.05804443359375,\n              44.69013547299005\n            ],\n            [\n              -110.57189941406249,\n              44.69013547299005\n            ],\n            [\n              -110.57189941406249,\n              44.39454219215587\n            ],\n            [\n              -111.05804443359375,\n              44.39454219215587\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"51c567d3e4b0c89b8f120dfb","contributors":{"authors":[{"text":"Karlstrom, Leif","contributorId":23048,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","affiliations":[],"preferred":false,"id":477457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":477455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohn, Robert","contributorId":51629,"corporation":false,"usgs":true,"family":"Sohn","given":"Robert","affiliations":[],"preferred":false,"id":477459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandemeulebrouck, Jean","contributorId":101973,"corporation":false,"usgs":true,"family":"Vandemeulebrouck","given":"Jean","email":"","affiliations":[],"preferred":false,"id":477461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Fred fmurphy@usgs.gov","contributorId":4572,"corporation":false,"usgs":true,"family":"Murphy","given":"Fred","email":"fmurphy@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudolph, Maxwell L.","contributorId":42122,"corporation":false,"usgs":true,"family":"Rudolph","given":"Maxwell L.","affiliations":[],"preferred":false,"id":477458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnston, Malcolm J.S.","contributorId":105171,"corporation":false,"usgs":true,"family":"Johnston","given":"Malcolm","email":"","middleInitial":"J.S.","affiliations":[],"preferred":false,"id":477462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manga, Michael","contributorId":66559,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":477460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":477454,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046671,"text":"70046671 - 2013 - Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum)","interactions":[],"lastModifiedDate":"2016-01-20T13:29:40","indexId":"70046671","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum)","docAbstract":"<p>Early detection of aquatic invasive species is a critical task for management of aquatic ecosystems. This task is hindered by the difficulty and cost of surveying aquatic systems thoroughly. The New Zealand mudsnail (Potamopyrgus antipodarum) is a small, invasive parthenogenic mollusk that can reach very high population densities and severely affects ecosystem functioning. To assist in the early detection of this invasive species, we developed and validated a highly sensitive environmental deoxyribonucleic acid (eDNA) assay. We used a dose&ndash;response laboratory experiment to investigate the relationship between New Zealand mudsnail density and eDNA detected through time. We documented that as few as 1 individual in 1.5 L of water for 2 d could be detected with this method, and that eDNA from this species may remain detectable for 21 to 44 d after mudsnail removal. We used the eDNA method to confirm the presence of New Zealand mudsnail eDNA at densities as low as 11 to 144 snails/m<sup>2</sup> in a eutrophic 5<sup>th</sup>-order river. Combined, these results demonstrate the high potential for eDNA surveys to assist with early detection of a widely distributed invasive aquatic invertebrate.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/13-046.1","usgsCitation":"Goldberg, C.S., Sepulveda, A., Ray, A., Baumgardt, J.A., and Waits, L.P., 2013, Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum): Freshwater Science, v. 32, no. 3, p. 792-800, https://doi.org/10.1899/13-046.1.","productDescription":"9 p.","startPage":"792","endPage":"800","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":274051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/13-046.1"}],"country":"New Zealand","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"New Zealand\"}}]}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567cee4b0c89b8f120df7","contributors":{"authors":[{"text":"Goldberg, Caren S.","contributorId":76879,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","email":"","middleInitial":"S.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":479976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam","contributorId":18659,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","affiliations":[],"preferred":false,"id":479974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Andrew","contributorId":101972,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","affiliations":[],"preferred":false,"id":479978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baumgardt, Jeremy A.","contributorId":48853,"corporation":false,"usgs":false,"family":"Baumgardt","given":"Jeremy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479977,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044368,"text":"70044368 - 2013 - Finite-fault source inversion using teleseismic <i>P</i> waves: Simple parameterization and rapid analysis","interactions":[],"lastModifiedDate":"2016-01-29T11:27:29","indexId":"70044368","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Finite-fault source inversion using teleseismic <i>P</i> waves: Simple parameterization and rapid analysis","docAbstract":"<p>We examine the ability of teleseismic <i>P</i> waves to provide a timely image of the rupture history for large earthquakes using a simple, 2D finite‐fault source parameterization. We analyze the broadband displacement waveforms recorded for the 2010 <i>M</i><sub>w</sub>&sim;7 Darfield (New Zealand) and El Mayor‐Cucapah (Baja California) earthquakes using a single planar fault with a fixed rake. Both of these earthquakes were observed to have complicated fault geometries following detailed source studies conducted by other investigators using various data types. Our kinematic, finite‐fault analysis of the events yields rupture models that similarly identify the principal areas of large coseismic slip along the fault. The results also indicate that the amount of stabilization required to spatially smooth the slip across the fault and minimize the seismic moment is related to the amplitudes of the observed <i>P</i> waveforms and can be estimated from the absolute values of the elements of the coefficient matrix. This empirical relationship persists for earthquakes of different magnitudes and is consistent with the stabilization constraint obtained from the L‐curve in Tikhonov regularization. We use the relation to estimate the smoothing parameters for the 2011 <i>M</i><sub>w</sub> 7.1 East Turkey, 2012 <i>M</i><sub>w</sub> 8.6 Northern Sumatra, and 2011 <i>M</i><sub>w</sub> 9.0 Tohoku, Japan, earthquakes and invert the teleseismic <i>P</i> waves in a single step to recover timely, preliminary slip models that identify the principal source features observed in finite‐fault solutions obtained by the U.S. Geological Survey National Earthquake Information Center (USGS/NEIC) from the analysis of body‐ and surface‐wave data. These results indicate that smoothing constraints can be estimated <i>a priori</i> to derive a preliminary, first‐order image of the coseismic slip using teleseismic records.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120120069","usgsCitation":"Mendoza, C., and Hartzell, S., 2013, Finite-fault source inversion using teleseismic <i>P</i> waves: Simple parameterization and rapid analysis: Bulletin of the Seismological Society of America, v. 103, no. 2A, p. 834-844, https://doi.org/10.1785/0120120069.","productDescription":"11 p.","startPage":"834","endPage":"844","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038615","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274075,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, New Zealand","otherGeospatial":"Darfield, El 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C.","contributorId":82059,"corporation":false,"usgs":true,"family":"Mendoza","given":"C.","email":"","affiliations":[],"preferred":false,"id":475383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":475382,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042200,"text":"70042200 - 2013 - Fecundity of the Chinese mystery snail in a Nebraska reservoir","interactions":[],"lastModifiedDate":"2013-08-26T10:15:29","indexId":"70042200","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fecundity of the Chinese mystery snail in a Nebraska reservoir","docAbstract":"The Chinese mystery snail (Bellamya chinensis) is a non-indigenous, invasive species in freshwater ecosystems of North America. We provide fecundity estimates for a population of these snails in a Nebraska reservoir. We dissected 70 snails, of which 29 were females. Nearly all female snails contained developing young, with an average of 25 young per female. Annual fecundity was estimated at between 27.2 and 33.3 young per female per year. Based on an estimated adult population and the calculated fecundity, the annual production for this reservoir was between 2.2 and 3.7 million young.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2013.769127","usgsCitation":"Stephen, B., Allen, C.R., Chaine, N.M., Fricke, K.A., Haak, D.M., Hellman, M., Kill, R.A., Nemec, K.T., Pope, K.L., Smeenk, N.A., Uden, D.R., Unstad, K.M., VanderHam, A.E., and Wong, A., 2013, Fecundity of the Chinese mystery snail in a Nebraska reservoir: Journal of Freshwater Ecology, v. 28, no. 3, p. 439-444, https://doi.org/10.1080/02705060.2013.769127.","productDescription":"6 p.","startPage":"439","endPage":"444","ipdsId":"IP-042874","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274072,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2013.769127"}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0535,39.9999 ], [ -104.0535,43.0017 ], [ -95.3083,43.0017 ], [ -95.3083,39.9999 ], [ -104.0535,39.9999 ] ] ] } } ] }","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567d3e4b0c89b8f120e03","contributors":{"authors":[{"text":"Stephen, Bruce J.","contributorId":54862,"corporation":false,"usgs":true,"family":"Stephen","given":"Bruce J.","affiliations":[],"preferred":false,"id":470956,"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":470949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaine, Noelle M.","contributorId":48456,"corporation":false,"usgs":true,"family":"Chaine","given":"Noelle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fricke, Kent A.","contributorId":45193,"corporation":false,"usgs":true,"family":"Fricke","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haak, Danielle M.","contributorId":73078,"corporation":false,"usgs":true,"family":"Haak","given":"Danielle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hellman, Michelle L.","contributorId":33185,"corporation":false,"usgs":true,"family":"Hellman","given":"Michelle L.","affiliations":[],"preferred":false,"id":470952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kill, Robert A.","contributorId":103538,"corporation":false,"usgs":true,"family":"Kill","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nemec, Kristine T.","contributorId":24650,"corporation":false,"usgs":true,"family":"Nemec","given":"Kristine","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":470950,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":470948,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smeenk, Nicholas A.","contributorId":48052,"corporation":false,"usgs":true,"family":"Smeenk","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470954,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470958,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Unstad, Kody M.","contributorId":28491,"corporation":false,"usgs":true,"family":"Unstad","given":"Kody","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470951,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"VanderHam, Ashley E.","contributorId":87426,"corporation":false,"usgs":true,"family":"VanderHam","given":"Ashley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470960,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wong, Alec","contributorId":79005,"corporation":false,"usgs":true,"family":"Wong","given":"Alec","email":"","affiliations":[],"preferred":false,"id":470959,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70044168,"text":"70044168 - 2013 - Late Pleistocene and Holocene uplift history of Cyprus: implications for active tectonics along the southern margin of the Anatolian microplate","interactions":[],"lastModifiedDate":"2013-07-15T09:50:13","indexId":"70044168","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1792,"text":"Geological Society, London, Special Publications: Geological Development of Anatolia and the Easternmost Mediterranean Region","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"372","title":"Late Pleistocene and Holocene uplift history of Cyprus: implications for active tectonics along the southern margin of the Anatolian microplate","docAbstract":"The nature of the southern margin of the Anatolian microplate during the Neogene is complex, controversial and fundamental in understanding active plate-margin tectonics and natural hazards in the Eastern Mediterranean region. Our investigation provides new insights into the Late Pleistocene uplift history of Cyprus and the Troodos Ophiolite. We provide isotopic (<sup>14</sup>C) and radiogenic (luminescence) dates of outcropping marine sediments in eastern Cyprus that identify periods of deposition during marine isotope stages (MIS) 3, 4, 5 and 6. Past sea-levels indicated by these deposits are c. 95±25 m higher in elevation than estimates of worldwide eustatic sea-level. An uplift rate of c. 1.8 mm/year and possibly as much as c. 4.1 mm/year in the past c. 26–40 ka is indicated. Holocene marine deposits also occur at elevations higher than those expected for past SL and suggest uplift rates of c. 1.2–2.1 mm/year. MIS-3 marine deposits that crop out in southern and western Cyprus indicate uniform island-wide uplift. We propose a model of tectonic wedging at a plate-bounding restraining bend as a mechanism for Late Pleistocene to Holocene uplift of Cyprus; uplift is accommodated by deformation and seismicity along the margins of the Troodos Ophiolite and re-activation of its low-angle, basal shear zone.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geological Society, London, Special Publications: Geological Development of Anatolia and the Easternmost Mediterranean Region","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/SP372.3","usgsCitation":"Harrison, R., Tsiolakis, E., Stone, B., Lord, A., McGeehin, J., Mahan, S., and Chirico, P., 2013, Late Pleistocene and Holocene uplift history of Cyprus: implications for active tectonics along the southern margin of the Anatolian microplate: Geological Society, London, Special Publications: Geological Development of Anatolia and the Easternmost Mediterranean Region, v. 372, p. 561-584, https://doi.org/10.1144/SP372.3.","productDescription":"24 p.","startPage":"561","endPage":"584","ipdsId":"IP-030588","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":473733,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Late_Pleistocene_and_Holocene_uplift_history_of_Cyprus_implications_for_active_tectonics_along_the_southern_margin_of_the___Anatolian_microplate/3453083","text":"External Repository"},{"id":274058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274057,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/SP372.3"}],"country":"Cyprus","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 32.2687,34.6323 ], [ 32.2687,35.7072 ], [ 34.6045,35.7072 ], [ 34.6045,34.6323 ], [ 32.2687,34.6323 ] ] ] } } ] }","volume":"372","noUsgsAuthors":false,"publicationDate":"2012-08-22","publicationStatus":"PW","scienceBaseUri":"51c567d5e4b0c89b8f120e13","contributors":{"authors":[{"text":"Harrison, R.W.","contributorId":32188,"corporation":false,"usgs":true,"family":"Harrison","given":"R.W.","affiliations":[],"preferred":false,"id":474966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsiolakis, E.","contributorId":26210,"corporation":false,"usgs":true,"family":"Tsiolakis","given":"E.","affiliations":[],"preferred":false,"id":474964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, B. D. 0000-0001-6092-0798","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":50919,"corporation":false,"usgs":true,"family":"Stone","given":"B. D.","affiliations":[],"preferred":false,"id":474968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lord, A.","contributorId":31291,"corporation":false,"usgs":true,"family":"Lord","given":"A.","email":"","affiliations":[],"preferred":false,"id":474965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, J. P. 0000-0002-5320-6091","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":48593,"corporation":false,"usgs":true,"family":"McGeehin","given":"J. P.","affiliations":[],"preferred":false,"id":474967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, S. A. 0000-0001-5214-7774","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":94333,"corporation":false,"usgs":true,"family":"Mahan","given":"S. A.","affiliations":[],"preferred":false,"id":474969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chirico, P.","contributorId":25847,"corporation":false,"usgs":true,"family":"Chirico","given":"P.","affiliations":[],"preferred":false,"id":474963,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70040016,"text":"70040016 - 2013 - Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+","interactions":[],"lastModifiedDate":"2020-09-11T17:36:23.36493","indexId":"70040016","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2030,"text":"International Journal of Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+","docAbstract":"<p><span>The key to reducing ecological and economic damage caused by invasive plant species is to locate and eradicate new invasions before they threaten native biodiversity and ecological processes. We used Landsat Enhanced Thematic Mapper Plus imagery to estimate suitable environments for four invasive plants in Big Bend National Park, southwest Texas, using a presence-only modeling approach. Giant reed (</span><i>Arundo donax</i><span>), Lehmann lovegrass (</span><i>Eragrostis lehmanniana</i><span>), horehound (</span><i>Marrubium vulgare</i><span>) and buffelgrass (</span><i>Pennisteum ciliare</i><span>) were selected for remote sensing spatial analyses. Multiple dates/seasons of imagery were used to account for habitat conditions within the study area and to capture phenological differences among targeted species and the surrounding landscape. Individual species models had high (0.91 to 0.99) discriminative ability to differentiate invasive plant suitable environments from random background locations. Average test area under the receiver operating characteristic curve (AUC) ranged from 0.91 to 0.99, indicating that plant predictive models exhibited high discriminative ability to differentiate suitable environments for invasive plant species from random locations. Omission rates ranged from &lt;1.0 to 18%. We demonstrated that useful models estimating suitable environments for invasive plants may be created with &lt;50 occurrence locations and that reliable modeling using presence-only datasets can be powerful tools for land managers.</span></p>","language":"English","publisher":"Academic Journals","doi":"10.5897/IJBC12.057","usgsCitation":"Young, K.E., Abbott, L.B., Caldwell, C.A., and Schrader, T.S., 2013, Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+: International Journal of Biodiversity and Conservation, v. 5, no. 3, p. 122-134, https://doi.org/10.5897/IJBC12.057.","productDescription":"13 p.","startPage":"122","endPage":"134","ipdsId":"IP-041046","costCenters":[{"id":471,"text":"New Mexico Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378343,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://academicjournals.org/journal/IJBC/article-stat/73700A410650"}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.556884765625,\n              28.98892237190413\n            ],\n            [\n              -102.7001953125,\n              28.98892237190413\n            ],\n            [\n              -102.7001953125,\n              29.935895213372444\n            ],\n            [\n              -104.556884765625,\n              29.935895213372444\n            ],\n            [\n              -104.556884765625,\n              28.98892237190413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567d3e4b0c89b8f120dff","contributors":{"authors":[{"text":"Young, Kendal E.","contributorId":76212,"corporation":false,"usgs":true,"family":"Young","given":"Kendal","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Laurie B.","contributorId":57352,"corporation":false,"usgs":true,"family":"Abbott","given":"Laurie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":467483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":467481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schrader, T. Scott","contributorId":43260,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":467482,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043591,"text":"70043591 - 2013 - First documented occurrences of the shortnose sturgeon (Acipenser brevirostrum) in the Saco River, Maine, USA","interactions":[],"lastModifiedDate":"2013-07-15T09:53:27","indexId":"70043591","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"First documented occurrences of the shortnose sturgeon (Acipenser brevirostrum) in the Saco River, Maine, USA","docAbstract":"During sampling efforts to study the more abundant Atlantic sturgeon, Acipenser oxyrinchus oxyrinchus, between May of 2009 and November of 2011, four shortnose sturgeon were captured in gill nets near the mouth of the Saco River, Maine. Two of these individuals were tagged with acoustic transmitters to monitor their movement within the Saco River. Additionally, six shortnose sturgeon that had been tagged with acoustic transmitters in the Merrimack River, Massachusetts were detected on the acoustic array deployed within the Saco River and its estuary over this time period. These incidences represent the first verified documentation of shortnose sturgeon within this estuary.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jai.12159","usgsCitation":"Little, C., Kieffer, M., Wippelhauser, G., Zydlewski, G., Kinnison, M., Whitefleet-Smith, L.A., and Sulikowski, J., 2013, First documented occurrences of the shortnose sturgeon (Acipenser brevirostrum) in the Saco River, Maine, USA: Journal of Applied Ichthyology, v. 29, no. 4, p. 709-712, https://doi.org/10.1111/jai.12159.","productDescription":"4 p.","startPage":"709","endPage":"712","ipdsId":"IP-042491","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.12159","text":"Publisher Index Page"},{"id":274077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274076,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jai.12159"}],"country":"United States","state":"Maine","otherGeospatial":"Saco River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"51c567d4e4b0c89b8f120e0b","contributors":{"authors":[{"text":"Little, C.E.","contributorId":83825,"corporation":false,"usgs":true,"family":"Little","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":473913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kieffer, M. 0000-0001-9310-018X","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":13830,"corporation":false,"usgs":true,"family":"Kieffer","given":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wippelhauser, G.","contributorId":62910,"corporation":false,"usgs":true,"family":"Wippelhauser","given":"G.","affiliations":[],"preferred":false,"id":473911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, G.","contributorId":69452,"corporation":false,"usgs":true,"family":"Zydlewski","given":"G.","email":"","affiliations":[],"preferred":false,"id":473912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinnison, M.","contributorId":85075,"corporation":false,"usgs":true,"family":"Kinnison","given":"M.","email":"","affiliations":[],"preferred":false,"id":473914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitefleet-Smith, L. A.","contributorId":26212,"corporation":false,"usgs":true,"family":"Whitefleet-Smith","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473910,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sulikowski, J.A.","contributorId":85869,"corporation":false,"usgs":true,"family":"Sulikowski","given":"J.A.","affiliations":[],"preferred":false,"id":473915,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70040851,"text":"70040851 - 2013 - High renesting rates in arctic-breeding Dunlin (<i>Calidris alpina</i>): A clutch-removal experiment","interactions":[],"lastModifiedDate":"2017-05-07T10:27:42","indexId":"70040851","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"High renesting rates in arctic-breeding Dunlin (<i>Calidris alpina</i>): A clutch-removal experiment","docAbstract":"The propensity to replace a clutch is a complex component of avian reproduction and poorly understood. We experimentally removed clutches from an Arctic-breeding shorebird, the Dunlin (Calidris alpina arcticola), during early and late stages of incubation to investigate replacement clutch rates, renesting interval, and mate and site fidelity between nesting attempts. In contrast to other Arctic studies, we documented renesting by radiotracking individuals to find replacement clutches. We also examined clutch size and mean egg volume to document changes in individual females’ investment in initial and replacement clutches. Finally, we examined the influence of adult body mass, clutch volume, dates of clutch initiation and nest loss, and year on the propensity to renest. We found high (82–95%) and moderate (35–50%) rates of renesting for early and late incubation treatments. Renesting intervals averaged 4.7–6.8 days and were not different for clutches removed early or late in incubation. Most pairs remained together for renesting attempts. Larger females were more likely to replace a clutch; female body mass was the most important parameter predicting propensity to renest. Clutches lost later in the season were less likely to be replaced. We present evidence that renesting is more common in Arctic-breeding shorebirds than was previously thought, and suggest that renesting is constrained by energetic and temporal factors as well as mate availability. Obtaining rates of renesting in species breeding at different latitudes will help determine when this behavior is likely to occur; such information is necessary for demographic models that include individual and population-level fecundity estimates.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.12052","usgsCitation":"Gates, H., Lanctot, R.B., and Powell, A., 2013, High renesting rates in arctic-breeding Dunlin (<i>Calidris alpina</i>): A clutch-removal experiment: The Auk, v. 130, no. 2, p. 372-380, https://doi.org/10.1525/auk.2013.12052.","productDescription":"9 p.","startPage":"372","endPage":"380","ipdsId":"IP-037244","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.12052","text":"Publisher Index Page"},{"id":274069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,69.9 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,69.9 ], [ -180.0,69.9 ] ] ] } } ] }","volume":"130","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567d4e4b0c89b8f120e0f","contributors":{"authors":[{"text":"Gates, H. River","contributorId":84256,"corporation":false,"usgs":true,"family":"Gates","given":"H. River","affiliations":[],"preferred":false,"id":469135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanctot, Richard B.","contributorId":31894,"corporation":false,"usgs":true,"family":"Lanctot","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false},{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true},{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":469134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Abby N. abby_powell@usgs.gov","contributorId":2534,"corporation":false,"usgs":false,"family":"Powell","given":"Abby N.","email":"abby_powell@usgs.gov","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":469133,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046210,"text":"70046210 - 2013 - Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA","interactions":[],"lastModifiedDate":"2017-07-01T17:25:24","indexId":"70046210","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA","docAbstract":"The hydrology of wetland ecosystems is a key driver of both mercury (Hg) methylation and waterbird foraging ecology, and hence may play a fundamental role in waterbird exposure and risk to Hg contamination. However, few studies have investigated hydrological factors that influence waterbird Hg exposure. We examined how several landscape-level hydrological variables influenced Hg concentrations in great egret and white ibis adults and chicks in the Florida Everglades. The great egret is a visual “exploiter” species that tolerates lower prey densities and is less sensitive to hydrological conditions than is the white ibis, which is a tactile “searcher” species that pursues higher prey densities in shallow water. Mercury concentrations in adult great egrets were most influenced by the spatial region that they occupied in the Everglades (higher in the southern region); whereas the number of days a site was dry during the previous dry season was the most important factor influencing Hg concentrations in adult ibis (Hg concentrations increased with the number of days dry). In contrast, Hg concentrations in egret chicks were most influenced by calendar date (increasing with date), whereas Hg concentrations in ibis chicks were most influenced by chick age, region, and water recession rate (Hg concentrations decreased with age, were higher in the southern regions, and increased with positive water recession rates). Our results indicate that both recent (preceding two weeks) hydrological conditions, and those of the prior year, influence Hg concentrations in wading birds. Further, these results suggest that Hg exposure in wading birds is driven by complex relationships between wading bird behavior and life stage, landscape hydrologic patterns, and biogeochemical processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.04.036","usgsCitation":"Herring, G., Eagles-Smith, C.A., Ackerman, J., Gawlik, D.E., and Beerens, J., 2013, Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA: Science of the Total Environment, v. 458-460, p. 637-646, https://doi.org/10.1016/j.scitotenv.2013.04.036.","productDescription":"10 p.","startPage":"637","endPage":"646","ipdsId":"IP-044906","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274021,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.04.036"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ 80.3887,25.8899 ], [ 80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","volume":"458-460","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42213e4b03c77dce65a23","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":479173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":479176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beerens, James M. 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":25440,"corporation":false,"usgs":false,"family":"Beerens","given":"James M.","affiliations":[],"preferred":false,"id":479174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046667,"text":"ofr20131050 - 2013 - Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","interactions":[],"lastModifiedDate":"2013-06-20T08:43:21","indexId":"ofr20131050","displayToPublicDate":"2013-06-20T00:00:00","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":"2013-1050","title":"Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","docAbstract":"The levee system of the lower American River in Sacramento, California, is situated above a mixed lithology of alluvial deposits that range from clay to gravel. In addition, sand deposits related to hydraulic mining activities underlie the floodplain and are preferentially prone to scour during high-flow events. In contrast, sections of the American River channel have been observed to be scour resistant. In this study, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, explores the resistivity structure of the American River channel to characterize the extent and thickness of lithologic units that may impact the scour potential of the area. Likely lithologic structures are interpreted, but these interpretations are non-unique and cannot be directly related to scour potential. Additional geotechnical data would provide insightful data on the scour potential of certain lithologic units. Additional interpretation of the resistivity data with respect to these results may improve interpretations of lithology and scour potential throughout the American River channel and floodplain.\n\nResistivity data were collected in three profiles along the American River using a water-borne continuous resistivity profiling technique. After processing and modeling these data, inverted resistivity profiles were used to make interpretations about the extent and thickness of possible lithologic units. In general, an intermittent high-resistivity layer likely indicative of sand or gravel deposits extends to a depth of around 30 feet (9 meters) and is underlain by a consistent low-resistivity layer that likely indicates a high-clay content unit that extends below the depth of investigation (60 feet or 18 meters). Immediately upstream of the Watt Avenue Bridge, the high-resistivity layer is absent, and the low-resistivity layer extends to the surface where a scour-resistant layer has been previously observed in the river bed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131050","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Sacramento District","usgsCitation":"Ball, L.B., and Teeple, A., 2013, Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008: U.S. Geological Survey Open-File Report 2013-1050, iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches, https://doi.org/10.3133/ofr20131050.","productDescription":"iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-06-01","temporalEnd":"2008-07-01","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131050.gif"},{"id":274006,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1050/"},{"id":274007,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1050/OF13-1050.pdf"},{"id":274008,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate1.pdf"},{"id":274009,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate2.pdf"},{"id":274010,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate3.pdf"},{"id":274011,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate4.pdf"},{"id":274012,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate5.pdf"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.433333,38.55 ], [ -121.433333,38.591667 ], [ -121.333333,38.591667 ], [ -121.333333,38.55 ], [ -121.433333,38.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42210e4b03c77dce65a03","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046165,"text":"70046165 - 2013 - Emergence flux declines disproportionately to larval density along a stream metals gradient","interactions":[],"lastModifiedDate":"2013-08-12T09:33:00","indexId":"70046165","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Emergence flux declines disproportionately to larval density along a stream metals gradient","docAbstract":"Effects of contaminants on adult aquatic insect emergence are less well understood than effects on insect larvae. We compared responses of larval density and adult emergence along a metal contamination gradient. Nonlinear threshold responses were generally observed for larvae and emergers. Larval densities decreased significantly at low metal concentrations but precipitously at concentrations of metal mixtures above aquatic life criteria (Cumulative Criterion Accumulation Ratio (CCAR) ≥ 1). In contrast, adult emergence declined precipitously at low metal concentrations (CCAR ≤ 1), followed by a modest decline above this threshold. Adult emergence was a more sensitive indicator of the effect of low metals concentrations on aquatic insect communities compared to larvae, presumably because emergence is limited by a combination of larval survival and other factors limiting successful emergence. Thus effects of exposure to larvae are not manifest until later in life (during metamorphosis and emergence). This loss in emergence reduces prey subsidies to riparian communities at concentrations considered safe for aquatic life. Our results also challenge the widely held assumption that adult emergence is a constant proportion of larval densities in all streams.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/es3051857","usgsCitation":"Schmidt, T., Kraus, J.M., Walters, D., and Wanty, R.B., 2013, Emergence flux declines disproportionately to larval density along a stream metals gradient: Environmental Science & Technology, v. 47, no. 15, p. 8784-8792, https://doi.org/10.1021/es3051857.","productDescription":"9 p.","startPage":"8784","endPage":"8792","ipdsId":"IP-045570","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":274042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es3051857"}],"volume":"47","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42211e4b03c77dce65a0f","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":479078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M.","contributorId":76590,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","affiliations":[],"preferred":false,"id":479079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}