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Resource managers must balance the benefits of energy development with the potential consequences for ecological resources and ecosystem services. To facilitate access to geospatial data related to energy resources, energy infrastructure, and natural resources that may be affected by energy development, the U.S. Geological Survey has developed an online Interactive Energy Atlas (Energy Atlas) for Colorado and New Mexico. The Energy Atlas is designed to meet the needs of varied users who seek information about energy in the western United States. The Energy Atlas has two primary capabilities: a geographic information system (GIS) data viewer and an interactive map gallery. The GIS data viewer allows users to preview and download GIS data related to energy potential and development in Colorado and New Mexico. The interactive map gallery contains a collection of maps that compile and summarize thematically related data layers in a user-friendly format. The maps are dynamic, allowing users to explore data at different resolutions and obtain information about the features being displayed. The Energy Atlas also includes an interactive decision-support tool, which allows users to explore the potential consequences of energy development for species that vary in their sensitivity to disturbance.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133112","usgsCitation":"Carr, N.B., Ignizio, D., Diffendorfer, J., Latysh, N., Matherne, A.M., Linard, J.I., Leib, K.J., and Hawkins, S.J., 2013, Interactive energy atlas for Colorado and New Mexico: an online resource for decisionmakers: U.S. Geological Survey Fact Sheet 2013-3112, 2 p., https://doi.org/10.3133/fs20133112.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-045619","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":280402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133112.jpg"},{"id":280400,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3112/"},{"id":280401,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3112/pdf/fs2013-3112.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,31.33 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,31.33 ], [ -109.06,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b2c405e4b08e3289f15709","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":486345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":486348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":486346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":486343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matherne, Ann Marie","contributorId":73909,"corporation":false,"usgs":true,"family":"Matherne","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":486349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":486342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":486347,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70049023,"text":"fs20133058 - 2013 - The 3D Elevation Program: summary for Florida","interactions":[],"lastModifiedDate":"2016-08-17T16:00:47","indexId":"fs20133058","displayToPublicDate":"2013-12-18T11:04:00","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":"2013-3058","title":"The 3D Elevation Program: summary for Florida","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Florida, elevation data are critical for natural resources conservation; flood risk management; infrastructure and construction management; coastal zone management; sea level rise and subsidence; wildfire management, planning, and response; and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The new 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the OMB Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.

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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":486038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059025,"text":"70059025 - 2013 - Interactions between a group of Golden Eagles and a herd of North American elk","interactions":[],"lastModifiedDate":"2013-12-18T08:52:19","indexId":"70059025","displayToPublicDate":"2013-12-18T08:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between a group of Golden Eagles and a herd of North American elk","docAbstract":"Raptors are generally considered solitary predators (Schoener 1969), but occasionally they interact socially (Brown and Amadon 1968). Certain raptor species (e.g., Swallow-tailed Kites [Elanoides forficatus] and Swainson's Hawks [Buteo swainsoni]) concentrate in aggregations in response to localized, abundant food sources (Ellis et al. 1993). Many raptor species engage in group hunting (Ellis et al. 1993), and social foraging is a routine strategy for some species (e.g., Harris's Hawks [Parabuteo unicinctus]; Bednarz 1988, Ellis et al. 1993]. Raptors generally engage in group hunting to pursue elusive or large prey (Ellis et al. 1993). Occasionally individuals of conspecific raptors engage in play as a group sometimes involving chases of prey species (Palmer 1988). In this letter, we report interactions between a large group of Golden Eagles and a herd of adult and juvenile Rocky Mountain elk (Cervus canadensis nelsoni) in late autumn.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Raptor Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-13-00027JRR-12-03.1","usgsCitation":"O’Connell, M.P., and Kochert, M.N., 2013, Interactions between a group of Golden Eagles and a herd of North American elk: Journal of Raptor Research, v. 47, no. 4, p. 416-418, https://doi.org/10.3356/JRR-13-00027JRR-12-03.1.","productDescription":"3 p.","startPage":"416","endPage":"418","numberOfPages":"3","ipdsId":"IP-049541","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":280392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280363,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3356/JRR-13-00027JRR-12-03.1"}],"country":"United States","state":"Idaho","otherGeospatial":"Arrowrock Reservoir;Boise River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.939559,43.579867 ], [ -115.939559,43.659807 ], [ -115.819759,43.659807 ], [ -115.819759,43.579867 ], [ -115.939559,43.579867 ] ] ] } } ] }","volume":"47","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b2c3e1e4b08e3289f15650","contributors":{"authors":[{"text":"O’Connell, Matt P.","contributorId":87054,"corporation":false,"usgs":true,"family":"O’Connell","given":"Matt","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":487431,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70057871,"text":"ds807 - 2013 - Thermal profiles for reaches of Snee-Oosh and Fornsby Creeks, Swinomish Indian Reservation, northwestern Washington, July 2013","interactions":[],"lastModifiedDate":"2013-12-18T08:33:59","indexId":"ds807","displayToPublicDate":"2013-12-18T08:21:00","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":"807","title":"Thermal profiles for reaches of Snee-Oosh and Fornsby Creeks, Swinomish Indian Reservation, northwestern Washington, July 2013","docAbstract":"Longitudinal profiles of streambed temperatures were measured in approximately 225-m-long reaches of the Snee-Oosh and Fornsby Creeks in the Swinomish Indian Reservation, northwestern Washington, during July 2013, to provide information about areas of groundwater discharge to streams. During summer, groundwater discharge is a source of cold water to streams and typically cools the surface water into which it discharges and buffers diurnal temperature fluctuations. Near-streambed temperatures were averaged over 1-m-long sections of cable during 1-minute periods every 30 minutes for 1-week periods using a fiber-optic distributed temperature sensor positioned on top of the streambed. The position of the fiber-optic cable was surveyed with a Global Positioning System. Stream temperatures and survey data are presented as Microsoft Excel® files consisting of date and time, water temperature, and geographical coordinates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds807","collaboration":"Prepared in cooperation with the Swinomish Indian Tribal Community","usgsCitation":"Gendaszek, A.S., and Opatz, C.C., 2013, Thermal profiles for reaches of Snee-Oosh and Fornsby Creeks, Swinomish Indian Reservation, northwestern Washington, July 2013: U.S. Geological Survey Data Series 807, Report: iv, 5 p.; Tables 1-4, https://doi.org/10.3133/ds807.","productDescription":"Report: iv, 5 p.; Tables 1-4","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052762","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":280391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds807.GIF"},{"id":280389,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/807/pdf/ds807.pdf"},{"id":280390,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/807/downloads/ds807_tables.xlsx"},{"id":280388,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/807/"}],"scale":"100000","projection":"Washington State Plane North FIPS","datum":"North American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Fornsby Creek;Snee-oosh Creek;Swinomish Indian Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.591005,48.369938 ], [ -122.591005,48.466653 ], [ -122.48269,48.466653 ], [ -122.48269,48.369938 ], [ -122.591005,48.369938 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b2c406e4b08e3289f15718","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Opatz, Chad C. 0000-0002-5272-0195 copatz@usgs.gov","orcid":"https://orcid.org/0000-0002-5272-0195","contributorId":48857,"corporation":false,"usgs":true,"family":"Opatz","given":"Chad","email":"copatz@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193776,"text":"70193776 - 2013 - Catchment-scale stormwater management via economic incentives – An overview and lessons-learned","interactions":[],"lastModifiedDate":"2017-12-19T10:47:30","indexId":"70193776","displayToPublicDate":"2013-12-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Catchment-scale stormwater management via economic incentives – An overview and lessons-learned","docAbstract":"

Long-term field studies of the effectiveness and sustainability of decentralized stormwater management are rare. From 2005-2011, we tested an incentive-based approach to citizen participation in stormwater management in the Shepherd Creek catchment, located in Cincinnati, OH, USA. Hydrologic, biological, and water quality data were characterized in a baseline monitoring effort 2005- 2007. Reverse auctions held successively in 2007 and 2008 engaged citizens to voluntarily bid on stormwater control measures (SCMs); and successful bids led to implementation of SCMs, which led to an enhancement of catchment detention capacity. We tested for attributes of sustainability (coconsideration of social, economic, and environmental (hydrologic, soils, aquatic biology) aspects), and summarize lessons-learned. Our results and outcomes provide a basis for planning future field studies that more fully determine the effectiveness of stormwater management in terms of sustainability.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Novatech 2013: international conference on strategies and solutions for integrated and sustainable water management in the city Lyon, France","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Novatech 2013: international conference on strategies and solutions for integrated and sustainable water management in the city Lyon, France","conferenceDate":"June 23-27, 2013","conferenceLocation":"Lyon, France","language":"English","publisher":"Graie","publisherLocation":"Lyon, France","usgsCitation":"Schuster, W., Garmestani, A., Green, O., Rhea, L., Roy, A.H., and Thurston, H., 2013, Catchment-scale stormwater management via economic incentives – An overview and lessons-learned, in Novatech 2013: international conference on strategies and solutions for integrated and sustainable water management in the city Lyon, France, Lyon, France, June 23-27, 2013, 10 p.","productDescription":"10 p.","ipdsId":"IP-042657","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350060,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://documents.irevues.inist.fr/handle/2042/51229"}],"country":"United States","state":"Ohio","county":"Hamilton","city":"Cincinnati","otherGeospatial":"Shepherd Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.60030555725096,\n 39.158750456624475\n ],\n [\n -84.5430564880371,\n 39.158750456624475\n ],\n [\n -84.5430564880371,\n 39.197340639237694\n ],\n [\n -84.60030555725096,\n 39.197340639237694\n ],\n [\n -84.60030555725096,\n 39.158750456624475\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61029be4b06e28e9c2546e","contributors":{"editors":[{"text":"Myers, Baden Robert","contributorId":201397,"corporation":false,"usgs":false,"family":"Myers","given":"Baden","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":725201,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beecham, Simon","contributorId":95397,"corporation":false,"usgs":true,"family":"Beecham","given":"Simon","affiliations":[],"preferred":false,"id":725202,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lucke, Terry","contributorId":201398,"corporation":false,"usgs":false,"family":"Lucke","given":"Terry","email":"","affiliations":[],"preferred":false,"id":725203,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Boogaard, Floris","contributorId":201399,"corporation":false,"usgs":false,"family":"Boogaard","given":"Floris","email":"","affiliations":[],"preferred":false,"id":725204,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Schuster, W.","contributorId":59656,"corporation":false,"usgs":true,"family":"Schuster","given":"W.","email":"","affiliations":[],"preferred":false,"id":725211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, A.S.","contributorId":86882,"corporation":false,"usgs":true,"family":"Garmestani","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":725212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, O.O.","contributorId":201408,"corporation":false,"usgs":false,"family":"Green","given":"O.O.","email":"","affiliations":[],"preferred":false,"id":725213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhea, l.K.","contributorId":201409,"corporation":false,"usgs":false,"family":"Rhea","given":"l.K.","email":"","affiliations":[],"preferred":false,"id":725214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thurston, H.W.","contributorId":201410,"corporation":false,"usgs":false,"family":"Thurston","given":"H.W.","email":"","affiliations":[],"preferred":false,"id":725215,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70058703,"text":"ofr20131287 - 2013 - Integrating Federal and State data records to report progress in establishing agricultural conservation practices on Chesapeake Bay farms","interactions":[],"lastModifiedDate":"2021-07-02T13:55:07.911183","indexId":"ofr20131287","displayToPublicDate":"2013-12-17T15:35:00","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":"2013-1287","title":"Integrating Federal and State data records to report progress in establishing agricultural conservation practices on Chesapeake Bay farms","docAbstract":"In response to the Executive Order for Chesapeake Bay Protection and Restoration (E.O. #13508, May 12, 2009), the U.S. Geological Survey (USGS) took on the task of acquiring and assessing agricultural conservation practice data records for U.S. Department of Agriculture (USDA) programs, and transferred those datasets in aggregated format to State jurisdictional agencies for use in reporting conservation progress to the Chesapeake Bay Program Partnership (CBP Partnership). Under the guidelines and regulations that have been developed to protect and restore water-quality in the Chesapeake Bay, the six State jurisdictions that fall within the Chesapeake Bay watershed are required to report their progress in promoting agricultural conservation practices to the CBP Partnership on an annual basis. The installation and adoption of agricultural best management practices is supported by technical and financial assistance from both Federal and State conservation programs. The farm enrollment data for USDA conservation programs are confidential, but agencies can obtain access to the privacy-protected data if they are established as USDA Conservation Cooperators. The datasets can also be released to the public if they are first aggregated to protect farmer privacy. In 2012, the USGS used its Conservation Cooperator status to obtain implementation data for conservation programs sponsored by the USDA Natural Resources Conservation Service (NRCS) and the USDA Farm Service Agency (FSA) for farms within the Chesapeake Bay watershed. Three jurisdictions (Delaware, Pennsylvania, and West Virginia) used the USGS-provided aggregated dataset to report conservation progress in 2012, whereas the remaining three jurisdictions (Maryland, New York, and Virginia) used jurisdictional Conservation Cooperator Agreements to obtain privacy-protected data directly from the USDA. This report reviews the status of conservation data sharing between the USDA and the various jurisdictions, discusses the methods that were used by the USGS in 2012 to collect and process USDA agricultural conservation data, and also documents methods that were used by the jurisdictions to integrate Federal and State data records, reduce double counting, and provide an accurate reporting of conservation practices to the CBP Partnership’s Annual Progress Review. A similar tracking, reporting, and assessment will occur in future years, as State and Federal governments and nongovernmental organizations continue to work with farmers and conservation districts to reduce the impacts of agriculture on water-quality.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131287","issn":"2331-1258","usgsCitation":"Hively, W., Devereux, O.H., and Claggett, P.R., 2013, Integrating Federal and State data records to report progress in establishing agricultural conservation practices on Chesapeake Bay farms: U.S. Geological Survey Open-File Report 2013-1287, Report: vii, 37 p.; Downloads Directory, https://doi.org/10.3133/ofr20131287.","productDescription":"Report: vii, 37 p.; Downloads Directory","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-049633","costCenters":[{"id":242,"text":"Eastern Geographic Science 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Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":9391,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","affiliations":[],"preferred":false,"id":487265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devereux, Olivia H.","contributorId":97238,"corporation":false,"usgs":true,"family":"Devereux","given":"Olivia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":487267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":487266,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70056038,"text":"sir20135209 - 2013 - A preliminary assessment of streamflow gains and losses for selected stream reaches in the lower Guadalupe River Basin, Texas, 2010-12","interactions":[],"lastModifiedDate":"2016-08-05T13:18:32","indexId":"sir20135209","displayToPublicDate":"2013-12-17T12:40:00","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":"2013-5209","title":"A preliminary assessment of streamflow gains and losses for selected stream reaches in the lower Guadalupe River Basin, Texas, 2010-12","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers–Fort Worth District, the Texas Water Development Board, the Guadalupe-Blanco River Authority, and the Edwards Aquifer Authority, investigated streamflow gains and losses in the lower Guadalupe River Basin during four selected base-flow periods in March 2010, April 2011, August 2011, and, for a stream reach between Seguin, Tex., and Gonzales, Tex., in September 2012. Major sources of streamflow in this basin include releases from Canyon Lake, inflow from major springs (Comal Springs, San Marcos Springs, and Hueco Springs), and base flow (groundwater seeping to streams). Streamflow and spring-flow data were collected at 35 streamflow-gaging stations (including 6 deployed for this study) during the base-flow periods. This report describes streamflow in the lower Guadalupe River Basin, which consists of the Guadalupe River drainage basin downstream from Canyon Lake to the Guadalupe River near Tivoli, Tex.

\n

Streamflow conditions in the lower Guadalupe River Basin were analyzed by computing surface-water budgets for reaches of the lower Guadalupe River and tributary streams. Streamflow gains and losses were mapped for reaches where the computed gain or loss was greater than the uncertainty in the computed streamflow at the upstream and downstream ends of the reach.

\n

During the March 15–21, 2010, base-flow period, five reaches had gains greater than the uncertainty in the computed streamflow, including reach 1 on the Guadalupe River, which gained 130 cubic feet per second (ft3/s), and reach 3 on the Comal River, which gained 359 ft3/s. Streamflow gains during March 2010 primarily were derived from (1) inflow from the Edwards aquifer outcrop, including Hueco Springs and Comal Springs; (2) flow conveyed through the alluvium of the streambed; (3) inflows from the Carrizo-Wilcox aquifer and the Yegua Jackson aquifer; and (4) groundwater inflows from the Gulf Coast aquifer, which are enhanced by seepage losses from Coleto Creek Reservoir. During this base-flow period, none of the reaches had a loss greater in magnitude than the uncertainty in the computed streamflow.

\n

During the April 10–16, 2011, base-flow period, three reaches had gains greater than the uncertainty in the computed streamflow. Among these three reaches were reach 1 on the Guadalupe River, which gained 40.7 ft3/s, and reach 3 on the Comal River, which gained 271 ft3/s—reaches where streamflow gains were also measured in March 2010. Streamflow gains during April 2011 primarily were derived from (1) inflow from the Edwards aquifer outcrop, including Hueco Springs and Comal Springs; and (2) inflows from the Carrizo-Wilcox aquifer. During this base-flow period, three reaches had losses greater in magnitude than the uncertainty in the computed streamflow. A reach of the Blanco River near Kyle, Tex. (reach 10), lost 18.7 cubic feet per second (ft3/s). Much of this loss likely entered the groundwater system through the numerous faults that intersect the stream channel northwest of Kyle. The reach that included the confluence of the Guadalupe and San Marcos Rivers (reach 17) lost 155 ft3/s, likely as recharge to the Sparta and Queen City aquifers.

\n

During the August 19–25, 2011, base-flow period, three reaches had gains greater than the uncertainty in the computed streamflow, including reach 3 on the Comal River (168 ft3/s gain), which was one of the reaches where gains in streamflow also were measured in March 2010 and April 2011. Streamflow gains in August 2011 were primarily from (1) inflows from Comal Springs, (2) inflows from the Yegua Jackson aquifer, and (3) groundwater inflows from the Gulf Coast aquifer, which are enhanced by seepage losses from Coleto Creek Reservoir. During this base-flow period, five reaches had losses greater in magnitude than the uncertainty in the computed streamflow. The reach including the confluence of the Guadalupe and Comal Rivers lost 82.8 ft3/s. Much of that loss likely seeped into the local groundwater system. The reach of the Guadalupe River south of New Braunfels, Tex., to Seguin, Tex., lost 53.5 ft3/s. Part of that loss may have been from seepage through streambed alluvium. Reaches 9 and 10 of the Blanco River near Kyle lost 2.20 and 6.60 ft3/s, respectively, likely as infiltration through numerous faults intersecting the stream channel northwest of Kyle. Plum Creek between Lockhart, Tex., and Luling, Tex., lost 2.11 ft3/s, likely as recharge to the Carrizo-Wilcox aquifer. A base-flow period during September 22–28, 2012, was studied for the reach of the Guadalupe River between Seguin and Gonzalez, including flows from San Marcos River and Plum Creek. During this period, for the Guadalupe River reach between Seguin and Oak Forest, no computed gains or losses were greater in magnitude than the uncertainty in the computed streamflow.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135209","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers–Fort Worth District, the Texas Water Development Board, the Guadalupe-Blanco River Authority, and the Edwards Aquifer Authority","usgsCitation":"Wehmeyer, L.L., Winters, K.E., and Ockerman, D.J., 2013, A preliminary assessment of streamflow gains and losses for selected stream reaches in the lower Guadalupe River Basin, Texas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5209, v, 30 p., https://doi.org/10.3133/sir20135209.","productDescription":"v, 30 p.","numberOfPages":"39","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-01","ipdsId":"IP-050892","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":280374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135209.jpg"},{"id":280372,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5209/"},{"id":280373,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5209/pdf/sir2013-5209.pdf"}],"scale":"100000","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Guadalupe River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,28.0 ], [ -100.0,30.2 ], [ -96.0,30.2 ], [ -96.0,28.0 ], [ -100.0,28.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b17262e4b0d9b325224481","contributors":{"authors":[{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":486301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winters, Karl E. kwinters@usgs.gov","contributorId":3554,"corporation":false,"usgs":true,"family":"Winters","given":"Karl","email":"kwinters@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":486300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486299,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059032,"text":"70059032 - 2013 - Crystallization of oxidized, moderately hydrous arc basalt at mid- to lower-crustal pressures: Implications for andesite genesis","interactions":[],"lastModifiedDate":"2019-03-26T08:36:47","indexId":"70059032","displayToPublicDate":"2013-12-17T12:08:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Crystallization of oxidized, moderately hydrous arc basalt at mid- to lower-crustal pressures: Implications for andesite genesis","docAbstract":"This study focuses on the production of convergent margin calc-alkaline andesites by crystallization–differentiation of basaltic magmas in the lower to middle crust. Previous experimental studies show that dry, reduced, subalkaline basalts differentiate to tholeiitic (high Fe/Mg) daughter liquids, but the influences of H2O and oxidation on differentiation are less well established. Accordingly, we performed crystallization experiments at controlled oxidized fO2 (Re–ReO2 ≈ ΔNi–NiO + 2) on a relatively magnesian basalt (8.7 wt% MgO) typical of mafic magmas erupted in the Cascades near Mount Rainier, Washington. The basalt was synthesized with 2 wt% H2O and run at 900, 700, and 400 MPa and 1,200 to 950 °C. A broadly clinopyroxenitic crystallization interval dominates near the liquidus at 900 and 700 MPa, consisting of augite + olivine + orthopyroxene + Cr-spinel (in decreasing abundance). With decreasing temperature, plagioclase crystallizes, Fe–Ti-oxide replaces spinel, olivine dissolves, and finally amphibole appears, producing gabbroic and then amphibole gabbroic crystallization stages. Enhanced plagioclase stability at lower pressure narrows the clinopyroxenitic interval and brings the gabbroic interval toward the liquidus. Liquids at 900 MPa track along Miyashiro’s (Am J Sci 274(4):321–355, 1974) tholeiitic versus calc-alkaline boundary, whereas those at 700 and 400 MPa become calc-alkaline at silica contents ≥56 wt%. This difference is chiefly due to higher temperature appearance of magnetite (versus spinel) at lower pressures. Although the evolved liquids are similar in many respects to common calc-alkaline andesites, the 900 and 700 MPa liquids differ in having low CaO concentrations due to early and abundant crystallization of augite, with the result that those liquids become peraluminous (ASI: molar Al/(Na + K + 2Ca) > 1) at ≥61 wt% SiO2, similar to liquids reported in other studies of the high-pressure crystallization of hydrous basalts (Müntener and Ulmer in Geophys Res Lett 33(21):L21308, 2006). The lower-pressure liquids (400 MPa) have this same trait, but to a lesser extent due to more abundant near-liquidus plagioclase crystallization. A compilation of >6,500 analyses of igneous rocks from the Cascades and the Sierra Nevada batholith, representative of convergent margin (arc) magmas, shows that ASI increases continuously and linearly with SiO2 from basalts to rhyolites or granites and that arc magmas are not commonly peraluminous until SiO2 exceeds 69 wt%. These relations are consistent with plagioclase accompanying mafic silicates over nearly all the range of crystallization (or remelting). The scarcity of natural peraluminous andesites shows that progressive crystallization–differentiation of primitive basalts in the deep crust, producing early clinopyroxenitic cumulates and evolved liquids, does not dominate the creation of intermediate arc magmas or of the continental crust. Instead, mid- to upper-crustal differentiation and/or open-system processes are critical to the production of intermediate arc magmas. Primary among the open-system processes may be extraction of highly evolved (granitic, rhyolitic) liquids at advanced degrees of basalt solidification (or incipient partial melting of predecessor gabbroic intrusions) and mixing of such liquids into replenishing basalts. Furthermore, if the andesitic-composition continents derived from basaltic sources, the arc ASI–SiO2 relation shows that the mafic component returned to the mantle was gabbroic in composition, not pyroxenitic.","language":"English","publisher":"Springer","doi":"10.1007/s00410-013-0920-3","usgsCitation":"Blatter, D., Sisson, T.W., and Hankins, W., 2013, Crystallization of oxidized, moderately hydrous arc basalt at mid- to lower-crustal pressures: Implications for andesite genesis: Contributions to Mineralogy and Petrology, v. 166, no. 3, p. 861-886, https://doi.org/10.1007/s00410-013-0920-3.","productDescription":"26 p.","startPage":"861","endPage":"886","ipdsId":"IP-048906","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":280407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"166","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-22","publicationStatus":"PW","scienceBaseUri":"53cd5394e4b0b290850f5397","contributors":{"authors":[{"text":"Blatter, Dawnika L.","contributorId":23427,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika L.","affiliations":[],"preferred":false,"id":487441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hankins, W. Ben 0000-0001-9881-9468","orcid":"https://orcid.org/0000-0001-9881-9468","contributorId":28618,"corporation":false,"usgs":true,"family":"Hankins","given":"W. Ben","affiliations":[],"preferred":true,"id":487442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059027,"text":"fs20133118 - 2013 - Methane occurrence in groundwater of south-central New York State, 2012: summary of findings","interactions":[],"lastModifiedDate":"2013-12-17T11:33:28","indexId":"fs20133118","displayToPublicDate":"2013-12-17T11:27:00","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":"2013-3118","title":"Methane occurrence in groundwater of south-central New York State, 2012: summary of findings","docAbstract":"A survey of methane in groundwater was undertaken to document methane occurrence on the basis of hydrogeologic setting within a glaciated 1,810-square-mile area of south-central New York that has not seen shale-gas resource development. The adjacent region in northeastern Pennsylvania has undergone shale-gas resource development from the Marcellus Shale.\n\nWell construction and subsurface data were required for each well sampled so that the local hydrogeologic setting could be classified. All wells were also at least 1 mile from any known gas well (active, exploratory, or abandoned). Sixty-six domestic wells and similar purposed supply wells were sampled during summer 2012. Field water-quality characteristics (pH, specific conductance, dissolved oxygen, and temperature) were measured at each well, and samples were collected and analyzed for dissolved gases, including methane and short-chain hydrocarbons. Carbon and hydrogen isotopic ratios of methane were measured in 21 samples that had at least 0.3 milligram per liter (mg/L) methane.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133118","issn":"2327-6932","usgsCitation":"Heisig, P.M., and Scott, T., 2013, Methane occurrence in groundwater of south-central New York State, 2012: summary of findings: U.S. Geological Survey Fact Sheet 2013-3118, 2 p., https://doi.org/10.3133/fs20133118.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-053308","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":280366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133118.jpg"},{"id":280365,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3118/pdf/fs2013-3118.pdf"},{"id":280364,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3118"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,41.0 ], [ -78.0,43.0 ], [ -75.0,43.0 ], [ -75.0,41.0 ], [ -78.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172c0e4b0d9b3252245f6","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487439,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058769,"text":"70058769 - 2013 - Differential preservation in the geologic record of intraoceanic arc sedimentary and tectonic processes","interactions":[],"lastModifiedDate":"2013-12-17T10:17:40","indexId":"70058769","displayToPublicDate":"2013-12-17T10:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Differential preservation in the geologic record of intraoceanic arc sedimentary and tectonic processes","docAbstract":"Records of ancient intraoceanic arc activity, now preserved in continental suture zones, are commonly used to reconstruct paleogeography and plate motion, and to understand how continental crust is formed, recycled, and maintained through time. However, interpreting tectonic and sedimentary records from ancient terranes after arc–continent collision is complicated by preferential preservation of evidence for some arc processes and loss of evidence for others. In this synthesis we examine what is lost, and what is preserved, in the translation from modern processes to the ancient record of intraoceanic arcs.\n\nComposition of accreted arc terranes differs as a function of arc–continent collision geometry. ‘Forward-facing’ collision can accrete an oceanic arc on to either a passive or an active continental margin, with the arc facing the continent and colliding trench- and forearc-side first. In a ‘backward-facing’ collision, involving two subduction zones with similar polarity, the arc collides backarc-first with an active continental margin. The preservation of evidence for contemporary sedimentary and tectonic arc processes in the geologic record depends greatly on how well the various parts of the arc survive collision and orogeny in each case.\n\nPreservation of arc terranes likely is biased towards those that were in a state of tectonic accretion for tens of millions of years before collision, rather than tectonic erosion. The prevalence of tectonic erosion in modern intraoceanic arcs implies that valuable records of arc processes are commonly destroyed even before the arc collides with a continent. Arc systems are most likely to undergo tectonic accretion shortly before forward-facing collision with a continent, and thus most forearc and accretionary-prism material in ancient arc terranes likely is temporally biased toward the final stages of arc activity, when sediment flux to the trench was greatest and tectonic accretion prevailed. Collision geometry and tectonic erosion vs. accretion are important controls on the ultimate survival of material from the trench, forearc, arc massif, intra-arc basins, and backarc basins, and thus on how well an ancient arc terrane preserves evidence for tectonic processes such as subduction of aseismic ridges and seamounts, oblique plate convergence, and arc rifting. Forward-facing collision involves substantial recycling, melting, and fractionation of continent-derived material during and after collision, and so produces melts rich in silica and incompatible trace elements. As a result, forward-facing collision can drive the composition of accreted arc crust toward that of average continental crust.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth-Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","usgsCitation":"Draut, A., and Clift, P.D., 2013, Differential preservation in the geologic record of intraoceanic arc sedimentary and tectonic processes: Earth-Science Reviews, v. 116, p. 57-84.","productDescription":"28 p.","startPage":"57","endPage":"84","numberOfPages":"28","ipdsId":"IP-037534","costCenters":[],"links":[{"id":280360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bde4b0d9b3252245e0","contributors":{"authors":[{"text":"Draut, Amy","contributorId":18792,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","affiliations":[],"preferred":false,"id":487370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clift, Peter D.","contributorId":17711,"corporation":false,"usgs":true,"family":"Clift","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058837,"text":"70058837 - 2013 - Chronic toxicity of nickel-spiked freshwater sediments: variation in toxicity among eight invertebrate taxa and eight sediments","interactions":[],"lastModifiedDate":"2016-11-04T11:11:34","indexId":"70058837","displayToPublicDate":"2013-12-17T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Chronic toxicity of nickel-spiked freshwater sediments: variation in toxicity among eight invertebrate taxa and eight sediments","docAbstract":"

This study evaluated the chronic toxicity of Ni-spiked freshwater sediments to benthic invertebrates. A 2-step spiking procedure (spiking and sediment dilution) and a 2-stage equilibration period (10 wk anaerobic and 1 wk aerobic) were used to spike 8 freshwater sediments with wide ranges of acid-volatile sulfide (AVS; 0.94–38 µmol/g) and total organic carbon (TOC; 0.42–10%). Chronic sediment toxicity tests were conducted with 8 invertebrates (Hyalella azteca, Gammarus pseudolimnaeus, Chironomus riparius, Chironomus dilutus, Hexagenia sp., Lumbriculus variegatus, Tubifex tubifex, and Lampsilis siliquoidea) in 2 spiked sediments. Nickel toxicity thresholds estimated from species-sensitivity distributions were 97 µg/g and 752 µg/g (total recoverable Ni; dry wt basis) for sediments with low and high concentrations of AVS and TOC, respectively. Sensitive species were tested with 6 additional sediments. The 20% effect concentrations (EC20s) for Hyalella and Gammarus, but not Hexagenia, were consistent with US Environmental Protection Agency benchmarks based on Ni in porewater and in simultaneously extracted metals (SEM) normalized to AVS and TOC. For Hexagenia, sediment EC20s increased at less than an equimolar basis with increased AVS, and toxicity occurred in several sediments with Ni concentrations in SEM less than AVS. The authors hypothesize that circulation of oxygenated water by Hexagenia led to oxidation of AVS in burrows, creating microenvironments with high Ni exposure. Despite these unexpected results, a strong relationship between Hexagenia EC20s and AVS could provide a basis for conservative site-specific sediment quality guidelines for Ni.

","language":"English","publisher":"Wiley","doi":"10.1002/etc.2271","usgsCitation":"Besser, J.M., Brumbaugh, W.G., Ingersoll, C.G., Ivey, C.D., Kunz, J.L., Kemble, N.E., Schlekat, C.E., and Garman, E.R., 2013, Chronic toxicity of nickel-spiked freshwater sediments: variation in toxicity among eight invertebrate taxa and eight sediments: Environmental Toxicology and Chemistry, v. 32, no. 11, p. 2495-2506, https://doi.org/10.1002/etc.2271.","productDescription":"12 p.","startPage":"2495","endPage":"2506","numberOfPages":"12","ipdsId":"IP-041871","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":280355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280354,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2271"}],"volume":"32","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-08","publicationStatus":"PW","scienceBaseUri":"52b172bbe4b0d9b3252245d0","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlekat, Christian E.","contributorId":28519,"corporation":false,"usgs":true,"family":"Schlekat","given":"Christian","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487389,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garman, Emily R.","contributorId":19461,"corporation":false,"usgs":true,"family":"Garman","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487388,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70058836,"text":"70058836 - 2013 - Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds","interactions":[],"lastModifiedDate":"2013-12-17T09:32:07","indexId":"70058836","displayToPublicDate":"2013-12-17T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds","docAbstract":"Understanding the response of total suspended solids (TSS) and total phosphorus (TP) to influential weather and watershed variables is critical in the development of sediment and nutrient reduction plans. In this study, rainfall and snowmelt event loadings of TSS and TP were analyzed for eight agricultural watersheds in Wisconsin, with areas ranging from 14 to 110 km2 and having four to twelve years of data available. The data showed that a small number of rainfall and snowmelt runoff events accounted for the majority of total event loading. The largest 10% of the loading events for each watershed accounted for 73–97% of the total TSS load and 64–88% of the total TP load. More than half of the total annual TSS load was transported during a single event for each watershed at least one of the monitored years. Rainfall and snowmelt events were both influential contributors of TSS and TP loading. TSS loading contributions were greater from rainfall events at five watersheds, from snowmelt events at two watersheds, and nearly equal at one watershed. The TP loading contributions were greater from rainfall events at three watersheds, from snowmelt events at two watersheds and nearly equal at three watersheds. Stepwise multivariate regression models for TSS and TP event loadings were developed separately for rainfall and snowmelt runoff events for each individual watershed and for all watersheds combined by using a suite of precipitation, melt, temperature, seasonality, and watershed characteristics as predictors. All individual models and the combined model for rainfall events resulted in two common predictors as most influential for TSS and TP. These included rainfall depth and the antecedent baseflow. Using these two predictors alone resulted in an R2 greater than 0.7 in all but three individual models and 0.61 or greater for all individual models. The combined model yielded an R2 of 0.66 for TSS and 0.59 for TP. Neither the individual nor the combined models were substantially improved by using additional predictors. Snowmelt event models were statistically significant for individual and combined watershed models, but the model fits were not all as good as those for rainfall events (R2 between 0.19 and 0.87). Predictor selection varied from watershed to watershed, and the common variables that were selected were not always selected in the same order. Influential variables were commonly direct measures of moisture in the watershed such as snowmelt, rainfall + snowmelt, and antecedent baseflow, or measures of potential snowmelt volume in the watershed such as air temperature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"doi":"10.1016/j.jhydrol.2013.09.038","usgsCitation":"Danz, M., Corsi, S., Brooks, W.R., and Bannerman, R.T., 2013, Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds: Journal of Hydrology, v. 507, p. 249-261, https://doi.org/10.1016/j.jhydrol.2013.09.038.","productDescription":"13 p.","startPage":"249","endPage":"261","numberOfPages":"13","ipdsId":"IP-045989","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":280353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280312,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.09.038"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","volume":"507","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bae4b0d9b3252245c6","contributors":{"authors":[{"text":"Danz, Mari E. medanz@usgs.gov","contributorId":3349,"corporation":false,"usgs":true,"family":"Danz","given":"Mari E.","email":"medanz@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven","contributorId":106002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70058768,"text":"70058768 - 2013 - Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA","interactions":[],"lastModifiedDate":"2013-12-17T09:18:34","indexId":"70058768","displayToPublicDate":"2013-12-17T09:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA","docAbstract":"Flood-deposited sediment has been used to decipher environmental parameters such as variability in watershed sediment supply, paleoflood hydrology, and channel morphology. It is not well known, however, how accurately the deposits reflect sedimentary processes within the flow, and hence what sampling intensity is needed to decipher records of recent or long-past conditions. We examine these problems using deposits from dam-regulated floods in the Colorado River corridor through Marble Canyon–Grand Canyon, Arizona, U.S.A., in which steady-peaked floods represent a simple end-member case. For these simple floods, most deposits show inverse grading that reflects coarsening suspended sediment (a result of fine-sediment-supply limitation), but there is enough eddy-scale variability that some profiles show normal grading that did not reflect grain-size evolution in the flow as a whole. To infer systemwide grain-size evolution in modern or ancient depositional systems requires sampling enough deposit profiles that the standard error of the mean of grain-size-change measurements becomes small relative to the magnitude of observed changes. For simple, steady-peaked floods, 5–10 profiles or fewer may suffice to characterize grain-size trends robustly, but many more samples may be needed from deposits with greater variability in their grain-size evolution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sedimentary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2013.79","usgsCitation":"Draut, A., and Rubin, D.M., 2013, Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA: Journal of Sedimentary Research, v. 83, no. 11, p. 962-973, https://doi.org/10.2110/jsr.2013.79.","productDescription":"12 p.","startPage":"962","endPage":"973","numberOfPages":"12","ipdsId":"IP-051517","costCenters":[],"links":[{"id":280352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/jsr.2013.79"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,32.49 ], [ -114.82,40.43 ], [ -105.82,40.43 ], [ -105.82,32.49 ], [ -114.82,32.49 ] ] ] } } ] }","volume":"83","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"52b172b8e4b0d9b3252245bc","contributors":{"authors":[{"text":"Draut, Amy","contributorId":18792,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","affiliations":[],"preferred":false,"id":487368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":487367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70055672,"text":"sir20135035 - 2013 - Erosional and depositional changes wrought by the flood of May 1978 in the channels of Powder River, southeastern Montana","interactions":[],"lastModifiedDate":"2013-12-17T08:42:46","indexId":"sir20135035","displayToPublicDate":"2013-12-17T08:31:00","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":"2013-5035","title":"Erosional and depositional changes wrought by the flood of May 1978 in the channels of Powder River, southeastern Montana","docAbstract":"Powder River’s second largest flood of record (1919–2012) moved through northeastern Wyoming and southeastern Montana during May 1978. Within a ninety-kilometer reach of the channel in southeastern Montana, the most prominent planform effects of the flood were the growth of meander bends by bank erosion (this was most intense just downriver of bend apexes, causing 1–2 channel widths of lateral displacement) and the erosion of new cutoff channels through the necks of two large and two small meanders. Surveys of cross sections, made before and after the flood, show the responses of the channel to the flood waters, which ranged from minimal (bedrock control) to large (maximum channel curvature in unconsolidated bank and terrace deposits). Geomorphic work done during two weeks of extreme flooding in May 1978, as measured by cross-channel erosion and new sediment deposition, was approximately equal in magnitude to the work done during the two decades (1978–1998) that followed the flood.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135035","usgsCitation":"Meade, R.H., and Moody, J.A., 2013, Erosional and depositional changes wrought by the flood of May 1978 in the channels of Powder River, southeastern Montana: U.S. Geological Survey Scientific Investigations Report 2013-5035, Report: iv, 29 p.; Map: 46.0 x 42.0 inches, https://doi.org/10.3133/sir20135035.","productDescription":"Report: iv, 29 p.; Map: 46.0 x 42.0 inches","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-032505","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":280350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135035.gif"},{"id":280348,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5035/pdf/sir2013-5035.pdf"},{"id":280349,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5035/pdf/sir2013_plate1.pdf"},{"id":280347,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5035/"}],"scale":"20570","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Montana","county":"Powder River County","otherGeospatial":"Powder River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.999321,44.993622 ], [ -105.999321,45.501641 ], [ -105.24974,45.501641 ], [ -105.24974,44.993622 ], [ -105.999321,44.993622 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bee4b0d9b3252245e5","contributors":{"authors":[{"text":"Meade, Robert H. 0000-0002-4965-3040 rhmeade@usgs.gov","orcid":"https://orcid.org/0000-0002-4965-3040","contributorId":2744,"corporation":false,"usgs":true,"family":"Meade","given":"Robert","email":"rhmeade@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":486199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":486198,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049030,"text":"sir20135190 - 2013 - Occurrence of methane in groundwater of south-central New York State, 2012-systematic evaluation of a glaciated region by hydrogeologic setting","interactions":[],"lastModifiedDate":"2013-12-16T13:35:48","indexId":"sir20135190","displayToPublicDate":"2013-12-17T08:00:00","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":"2013-5190","title":"Occurrence of methane in groundwater of south-central New York State, 2012-systematic evaluation of a glaciated region by hydrogeologic setting","docAbstract":"A survey of methane in groundwater was undertaken to document methane occurrence on the basis hydrogeologic setting within a glaciated 1,810-square-mile area of south-central New York along the Pennsylvania border. Sixty-six wells were sampled during the summer of 2012. All wells were at least 1 mile from any known gas well (active, exploratory, or abandoned). Results indicate strong positive and negative associations between hydrogeologic settings and methane occurrence. The hydrogeologic setting classes are based on topographic position (valley and upland), confinement or non-confinement of groundwater by glacial deposits, well completion in fractured bedrock or sand and gravel, and hydrogeologic subcategories. Only domestic wells and similar purposed supply wells with well-construction and log information were selected for classification. Field water-quality characteristics (pH, specific conductance, dissolved oxygen, and temperature) were measured at each well, and samples were collected and analyzed for dissolved gases, including methane and short-chain hydrocarbons. Carbon and hydrogen isotopic ratios of methane were measured in 21 samples that had at least 0.3 milligram per liter (mg/L) of methane.\n\nResults of sampling indicate that occurrence of methane in groundwater of the region is common—greater than or equal to 0.001 mg/L in 78 percent of the groundwater samples. Concentrations of methane ranged over five orders of magnitude. Methane concentrations at which monitoring or mitigation are indicated (greater than or equal to 10 mg/L) were measured in 15 percent of the samples. Methane concentrations greater than 0.1 mg/L were associated with specific hydrogeologic settings. Wells completed in bedrock within valleys and under confined groundwater conditions were most closely associated with the highest methane concentrations. Fifty-seven percent of valley wells had greater than or equal to 0.1 mg/L of methane, whereas only 10 percent of upland wells equaled or exceeded that concentration. Isotopic signatures differed between these groups as well. Methane in valley wells was predominantly thermogenic in origin, likely as a result of close vertical proximity to underlying methane-bearing saline groundwater and brine and possibly as a result of enhanced bedrock fracture permeability beneath valleys that provides an avenue for upward gas migration. Isotopic signatures of methane from four upland well samples indicated a microbial origin (carbon-dioxide reduction) with one sample possibly altered by microbial methane oxidation. Water samples from wells in a valley setting that indicate a mix of thermogenic and microbial methane reflect the close proximity of regional groundwater flow and underlying saline water and brine in valley areas. The microbial methane is likely produced by bacteria that utilize carbon dioxide or formational organic matter in highly reducing environments within the subregional groundwater flow system. This characterization of groundwater methane shows the importance of subsurface information (hydrogeology, well construction) in understanding methane occurrence and provides an initial conceptual framework that can be utilized in investigation of stray gas in south-central New York.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135190","usgsCitation":"Heisig, P.M., and Scott, T., 2013, Occurrence of methane in groundwater of south-central New York State, 2012-systematic evaluation of a glaciated region by hydrogeologic setting: U.S. Geological Survey Scientific Investigations Report 2013-5190, Report: vii, 32 p.; 4 Appendices: XLS files, https://doi.org/10.3133/sir20135190.","productDescription":"Report: vii, 32 p.; 4 Appendices: XLS files","numberOfPages":"44","additionalOnlineFiles":"Y","ipdsId":"IP-049514","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":280331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135190.jpg"},{"id":280328,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5190/pdf/sir2013-5190.pdf"},{"id":280330,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5190/appendix/sir2013-5190_heisig_apend01-04.xlsx"},{"id":280329,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5190/"}],"projection":"Universal Transverse Mercator, Zone 18","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.4125,42.0025 ], [ -77.4125,42.4601 ], [ -75.3196,42.4601 ], [ -75.3196,42.0025 ], [ -77.4125,42.0025 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172c0e4b0d9b3252245fd","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486053,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048934,"text":"sim3266 - 2013 - Maps showing thermal maturity of Upper Cretaceous marine shales in the Wind River Basin, Wyoming","interactions":[],"lastModifiedDate":"2013-12-16T16:10:13","indexId":"sim3266","displayToPublicDate":"2013-12-16T15:56:00","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":"3266","title":"Maps showing thermal maturity of Upper Cretaceous marine shales in the Wind River Basin, Wyoming","docAbstract":"The Wind River Basin is a large Laramide (Late Cretaceous through Eocene) structural and sedimentary basin that encompasses about 7,400 square miles in central Wyoming. The basin is bounded by the Washakie Range, Owl Creek, and southern Bighorn Mountains on the north, the Casper arch on the east and northeast, the Granite Mountains on the south, and the Wind River Range on the west. Important conventional and unconventional oil and gas resources have been discovered and produced from reservoirs ranging in age from Mississippian through Tertiary. It has been suggested that various Upper Cretaceous marine shales are the principal hydrocarbon source rocks for many of these accumulations. Numerous source rock studies of various Upper Cretaceous marine shales throughout the Rocky Mountain region have led to the conclusion that these rocks have generated, or are capable of generating, oil and (or) gas. With recent advances and success in horizontal drilling and multistage fracture stimulation there has been an increase in exploration and completion of wells in these marine shales in other Rocky Mountain Laramide basins that were traditionally thought of only as hydrocarbon source rocks. Important parameters that control hydrocarbon production from shales include: reservoir thickness, amount and type of organic matter, and thermal maturity. The purpose of this report is to present maps and a structural cross section showing levels of thermal maturity, based on vitrinite reflectance (Ro), for Upper Cretaceous marine shales in the Wind River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3266","usgsCitation":"Finn, T.M., and Pawlewicz, M.J., 2013, Maps showing thermal maturity of Upper Cretaceous marine shales in the Wind River Basin, Wyoming: U.S. Geological Survey Scientific Investigations Map 3266, Report: iv, 13 p.; Map: 27.00 inches x 54.25 inches, https://doi.org/10.3133/sim3266.","productDescription":"Report: iv, 13 p.; Map: 27.00 inches x 54.25 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041254","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":280345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3266.jpg"},{"id":280344,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3266/pdf/sim3266_map.pdf"},{"id":280343,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3266/pdf/sim3266.pdf"},{"id":280341,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3266/"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.083,41.7016 ], [ -110.083,43.6838 ], [ -106.6223,43.6838 ], [ -106.6223,41.7016 ], [ -110.083,41.7016 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211fe4b0242fceec858b","contributors":{"authors":[{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, Mark J. pawlewicz@usgs.gov","contributorId":752,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"pawlewicz@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485823,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058838,"text":"70058838 - 2013 - Assaying environmental nickel toxicity using model nematodes","interactions":[],"lastModifiedDate":"2016-10-13T11:23:09","indexId":"70058838","displayToPublicDate":"2013-12-16T15:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assaying environmental nickel toxicity using model nematodes","docAbstract":"

Although nickel exposure results in allergic reactions, respiratory conditions, and cancer in humans and rodents, the ramifications of excess nickel in the environment for animal and human health remain largely undescribed. Nickel and other cationic metals travel through waterways and bind to soils and sediments. To evaluate the potential toxic effects of nickel at environmental contaminant levels (8.9-7,600 µg Ni/g dry weight of sediment and 50-800 µg NiCl2/L of water), we conducted assays using two cosmopolitan nematodes, Caenorhabditis elegans and Pristionchus pacificus. We assayed the effects of both sediment-bound and aqueous nickel upon animal growth, developmental survival, lifespan, and fecundity. Uncontaminated sediments were collected from sites in the Midwestern United States and spiked with a range of nickel concentrations. We found that nickel-spiked sediment substantially impairs both survival from larval to adult stages and adult longevity in a concentration-dependent manner. Further, while aqueous nickel showed no adverse effects on either survivorship or longevity, we observed a significant decrease in fecundity, indicating that aqueous nickel could have a negative impact on nematode physiology. Intriguingly, C. elegansand P. pacificus exhibit similar, but not identical, responses to nickel exposure. Moreover, P. pacificus could be tested successfully in sediments inhospitable to C. elegans. Our results add to a growing body of literature documenting the impact of nickel on animal physiology, and suggest that environmental toxicological studies could gain an advantage by widening their repertoire of nematode species.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0077079","usgsCitation":"Rudel, D., Douglas, C., Huffnagle, I., Besser, J.M., and Ingersoll, C.G., 2013, Assaying environmental nickel toxicity using model nematodes: PLoS ONE, v. 8, no. 10, e77079; 17 p., https://doi.org/10.1371/journal.pone.0077079.","productDescription":"e77079; 17 p.","numberOfPages":"17","ipdsId":"IP-042421","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0077079","text":"Publisher Index Page"},{"id":280342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280340,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0077079"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.09,36.70 ], [ -94.09,48.02 ], [ -82.00,48.02 ], [ -82.00,36.70 ], [ -94.09,36.70 ] ] ] } } ] }","volume":"8","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"52b020dee4b0242fceec847e","contributors":{"authors":[{"text":"Rudel, David","contributorId":12181,"corporation":false,"usgs":true,"family":"Rudel","given":"David","email":"","affiliations":[],"preferred":false,"id":487392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, Chandler","contributorId":27777,"corporation":false,"usgs":true,"family":"Douglas","given":"Chandler","email":"","affiliations":[],"preferred":false,"id":487393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huffnagle, Ian","contributorId":53279,"corporation":false,"usgs":true,"family":"Huffnagle","given":"Ian","email":"","affiliations":[],"preferred":false,"id":487394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487390,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70058846,"text":"70058846 - 2013 - Virulence of viral hemorrhagic septicemia virus (VHSV) genotypes Ia, IVa, IVb, and IVc in five fish species.","interactions":[],"lastModifiedDate":"2016-05-04T15:16:49","indexId":"70058846","displayToPublicDate":"2013-12-16T14:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Virulence of viral hemorrhagic septicemia virus (VHSV) genotypes Ia, IVa, IVb, and IVc in five fish species.","docAbstract":"

The susceptibility of yellow perch Perca flavescens, rainbow trout Oncorhynchus mykiss, Chinook salmon O. tshawytscha, koi Cyprinus carpio koi, and Pacific herring Clupea pallasii to 4 strains of viral hemorrhagic septicemia virus (VHSV) was assessed. Fish were challenged via intraperitoneal injection with high (1 × 106 plaque-forming units, PFU) and low (1 × 103 PFU) doses of a European strain (genotype Ia), and North American strains from the West coast (genotype IVa), Great Lakes (genotype IVb), and the East coast (genotype IVc). Pacific herring were exposed to the same VHSV strains, but at a single dose of 5 × 103 PFU ml-1 by immersion in static seawater. Overall, yellow perch were the most susceptible, with cumulative percent mortality (CPM) ranging from 84 to 100%, and 30 to 93% in fish injected with high or low doses of virus, respectively. Rainbow trout and Chinook salmon experienced higher mortalities (47 to 98% CPM) after exposure to strain Ia than to the other virus genotypes. Pacific herring were most susceptible to strain IVa with an average CPM of 80% and moderately susceptible (42 to 52% CPM) to the other genotypes. Koi had very low susceptibility (≤5.0% CPM) to all 4 VHSV strains. Fish tested at 7 d post challenge were positive for all virus strains, with yellow perch having the highest prevalence and concentrations of virus, and koi the lowest. While genotype Ia had higher virulence in salmonid species, there was little difference in virulence or host-specificity between isolates from subtypes IVa, IVb, and IVc.  

","language":"English","publisher":"Inter-Research Science Center","doi":"10.3354/dao02671","usgsCitation":"Emmenegger, E.J., Moon, C., Hershberger, P., and Kurath, G., 2013, Virulence of viral hemorrhagic septicemia virus (VHSV) genotypes Ia, IVa, IVb, and IVc in five fish species.: Diseases of Aquatic Organisms, v. 107, no. 2, p. 99-111, https://doi.org/10.3354/dao02671.","productDescription":"13 p.","startPage":"99","endPage":"111","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048821","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":488157,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02671","text":"Publisher Index Page"},{"id":280339,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b02120e4b0242fceec8599","contributors":{"authors":[{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moon, Chang Hoon","contributorId":80176,"corporation":false,"usgs":true,"family":"Moon","given":"Chang Hoon","affiliations":[],"preferred":false,"id":487398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hershberger, Paul K. phershberger@usgs.gov","contributorId":1945,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":487395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70058711,"text":"ofr20131290 - 2013 - Evaluation of the behavior and movement patterns of adult coho salmon and steelhead in the North Fork Toutle River, Washington, 2005-2009","interactions":[],"lastModifiedDate":"2013-12-19T08:47:32","indexId":"ofr20131290","displayToPublicDate":"2013-12-16T11:29:00","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":"2013-1290","title":"Evaluation of the behavior and movement patterns of adult coho salmon and steelhead in the North Fork Toutle River, Washington, 2005-2009","docAbstract":"

The 1980 eruption of Mount St. Helens severely affected the North Fork Toutle River (hereafter Toutle River), Washington, and threatened anadromous salmon (Oncorhynchus spp.) populations in the basin. The Toutle River was further affected in 1989 when a sediment retention structure (SRS) was constructed to trap sediments in the upper basin. The SRS completely blocked upstream volitional passage, so a fish collection facility (FCF) was constructed to trap adult coho salmon (O. kisutch) and steelhead (O. mykiss) so they could be transported upstream of the SRS. The Washington Department of Fish and Wildlife (WDFW) has operated a trap-and-haul program since 1989 to transport coho salmon and steelhead into tributaries of the Toutle River, upstream of the SRS. Although this program has allowed wild coho salmon and steelhead populations to persist in the Toutle River basin, the trap-andhaul program has faced many challenges that may be limiting the effectiveness of the program. We conducted a multi-year evaluation during 2005–2009 to monitor tagged fish in the upper Toutle River to provide information on the movements and behavior of adult coho salmon and steelhead, and to evaluate the efficacy of the FCF. Radio-tagged coho salmon and steelhead were released: (1) in Toutle River tributaries to evaluate the behavior and movements of fish released as part of the trap-and-haul program; (2) between the FCF and SRS to determine if volitional upstream passage through the SRS spillway was possible; (3) in the sediment plain upstream of the SRS to determine if volitional passage through the sediment plain was possible; and (4) downstream of the FCF to evaluate the efficacy of the structure. We also deployed an acoustic camera in the FCF to monitor fish movements near the entrance to the FCF, and in the fish holding vault where coho salmon and steelhead are trapped.

\n
\n

A total of 20 radio-tagged coho salmon and 10 radio-tagged steelhead were released into Alder and Hoffstadt Creeks, the locations where trap-and-haul fish were released during 2005–2006. None of the tagged fish left the tributaries where they were released, but four radio tags were detected near the release sites, and it was not possible to determine if this was because the transmitters were regurgitated, or if some of the tagged fish had died. The results from this portion of the study indicated that trap-and-haul fish remain in the tributaries where they can spawn, but the trap-and-haul process is labor-intensive, and handling stress and mortality could occur.

\n
\n

Tagged-fish releases upstream of the FCF showed that the SRS spillway was a complete migration barrier for all coho salmon and most steelhead. We released a total of 20 radio-tagged coho salmon and 23 radio-tagged steelhead during 2005–2007. No tagged coho salmon passed upstream through the SRS spillway, whereas 13 percent of the radio-tagged steelhead did migrate upstream through the structure. Radio-tagged coho salmon and steelhead that did not pass upstream remained in the FCF–SRS reach for an average of 7.5 and 16.1 d, respectively, before moving downstream. These data show that trap-and-haul releases of fish immediately upstream of the FCF would not be beneficial to coho salmon and steelhead populations in the system.

\n
\n

Releasing tagged fish into the sediment plain was only moderately successful for coho salmon,\nbut a large percentage of tagged steelhead moved upstream through the sediment plain to areas where\nspawning could presumably occur. During 2005–2009, we released 47 tagged coho salmon and 65\ntagged steelhead into the sediment plain. Only 28 percent of the coho salmon were later detected\nupstream of the sediment plain, and the highest percentage of the release group (62 percent) never left\nthe sediment plain. However, 69 percent of the steelhead moved upstream through the sediment plain\nand entered Toutle River tributaries or remained in the mainstem Toutle River where spawning could\npresumably occur. Adult steelhead can survive freshwater spawning, outmigrate to the ocean, and then\nreturn to spawn in successive years; 12 percent of the tagged steelhead successfully moved downstream\nof the FCF after the spawning period, and 5 percent of the tagged steelhead returned to the FCF a year\nafter they were originally tagged.

\n
\n

Evaluations at the FCF showed that the structure was not efficient at collecting adult salmon.\nDuring 2008–2009, 9 radio-tagged coho salmon and 11 radio-tagged steelhead were released to observe\nbehavior near the facility and to estimate the recapture rate in the FCF. None of the tagged coho salmon\nwere recaptured and only 27 percent of the tagged steelhead were recaptured. Additionally, we observed\nfish behavior at the FCF with an acoustic camera and found that relatively large numbers (>100\nfish/sampling period) of adult salmon entered the FCF but similar numbers of fish exited during these\nperiods as well. This suggested that the efficacy of the FCF was low.

\n
\n

Our study was limited by the number of fish that could be handled each year and the number of\ntransmitters that could be purchased annually, but our evaluations provided the first empirical data on\nadult salmon behavior and movement patterns in the Toutle River since the 1980 eruption of Mount St.\nHelens. Since the completion of this work, the U.S. Army Corps of Engineers has altered the SRS\nspillway and sediment plain; however, our results do provide information to assist fishery managers\ntasked with the complex management of wild salmon populations in the Toutle River. Future\nevaluations of juvenile and adult salmon behavior and movement likely will be required to effectively\nmanage these populations in this complex system.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131290","usgsCitation":"Liedtke, T.L., Kock, T.J., and Rondorf, D.W., 2013, Evaluation of the behavior and movement patterns of adult coho salmon and steelhead in the North Fork Toutle River, Washington, 2005-2009: U.S. Geological Survey Open-File Report 2013-1290, iv, 26 p., https://doi.org/10.3133/ofr20131290.","productDescription":"iv, 26 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050770","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":280326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131290.JPG"},{"id":280325,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1290/pdf/ofr2013-1290.pdf"},{"id":280324,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1290/"}],"country":"United States","state":"Washington","otherGeospatial":"North Fork Toutle River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.385782,46.240798 ], [ -122.385782,46.28767 ], [ -122.182554,46.28767 ], [ -122.182554,46.240798 ], [ -122.385782,46.240798 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211ee4b0242fceec857d","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rondorf, Dennis W. drondorf@usgs.gov","contributorId":2970,"corporation":false,"usgs":true,"family":"Rondorf","given":"Dennis","email":"drondorf@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70049017,"text":"sir20135181 - 2013 - Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake","interactions":[],"lastModifiedDate":"2018-02-06T12:17:35","indexId":"sir20135181","displayToPublicDate":"2013-12-16T11:00:00","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":"2013-5181","title":"Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake","docAbstract":"

Shell Lake is a relatively shallow terminal lake (tributaries but no outlets) in northwestern Wisconsin that has experienced approximately 10 feet (ft) of water-level fluctuation over more than 70 years of record and extensive flooding of nearshore areas starting in the early 2000s. The City of Shell Lake (City) received a permit from the Wisconsin Department of Natural Resources in 2002 to divert water from the lake to a nearby river in order to lower water levels and reduce flooding. Previous studies suggested that water-level fluctuations were driven by long-term cycles in precipitation, evaporation, and runoff, although questions about the lake’s connection with the groundwater system remained. The permit required that the City evaluate assumptions about lake/groundwater interactions made in previous studies and evaluate the effects of the water diversion on water levels in Shell Lake and other nearby lakes. Therefore, a cooperative study between the City and U.S. Geological Survey (USGS) was initiated to improve the understanding of the hydrogeology of the area and evaluate potential effects of the diversion on water levels in Shell Lake, the surrounding groundwater system, and nearby lakes. Concerns over deteriorating water quality in the lake, possibly associated with changes in water level, prompted an additional cooperative project between the City and the USGS to evaluate efeffects of changes in nutrient loading associated with changes in water levels on the water quality of Shell Lake. Numerical models were used to evaluate how the hydrology and water quality responded to diversion of water from the lake and historical changes in the watershed. The groundwater-flow model MODFLOW was used to simulate groundwater movement in the area around Shell Lake, including groundwater/surface-water interactions. Simulated results from the MODFLOW model indicate that groundwater flows generally northward in the area around Shell Lake, with flow locally converging toward the lake. Total groundwater inflow to Shell Lake is small (approximately 5 percent of the water budget) compared with water entering the lake from precipitation (83 percent) and surface-water runoff (13 percent). The MODFLOW model also was used to simulate average annual hydrologic conditions from 1949 to 2009, including effects of the removal of 3 billion gallons of water during 2003–5. The maximum decline in simulated average annual water levels for Shell Lake due to the diversion alone was 3.3 ft at the end of the diversion process in 2005. Model simulations also indicate that although water level continued to decline through 2009 in response to local weather patterns (local drought), the effects of the diversion decreased after the diversion ceased; that is, after 4 years of recovery (2006–9), drawdown attributable to the diversion alone decreased by about 0.6 ft because of increased groundwater inflow and decreased lake-water outflow to groundwater caused by the artificially lower lake level. A delayed response in drawdown of less than 0.5 ft was transmitted through the groundwater-flow system to upgradient lakes. This relatively small effect on upgradient lakes is attributed in part to extensive layers of shallow clay that limit lake/groundwater interaction in the area. Data collected in the lake indicated that Shell Lake is polymictic (characterized by frequent deep mixing) and that its productivity is limited by the amount of phosphorus in the lake. The lake was typically classified as oligotrophic-mesotrophic in June, mesotrophic in July, and mesotrophic-eutrophic in August. In polymictic lakes like Shell Lake, phosphorus released from the sediments is not trapped near the bottom of the lake but is intermittently released to the shallow water, resulting in deteriorating water quality as summer progresses. Because the productivity of Shell Lake is limited by phosphorus, the sources of phosphorus to the lake were quantified, and the response in water quality to changes in phosphorus inputs were evaluated by means of eutrophication models. During 2009, the total input of phosphorus to Shell Lake was 1,730 pounds (lb), of which 1,320 lb came from external sources (76 percent) and 414 lb came from internal loading from sediments in the lake (24 percent). The largest external source was from surface-water runoff, which delivered about 52 percent of the total phosphorus load compared with about 13 percent of the water input. The second largest source was from precipitation (wetfall and dryfall), which delivered 19 percent of the load compared to about 83 percent of the water input. Contributions from septic systems and groundwater accounted for about 3 and 2 percent, respectively. Increased runoff raises water levels in the lake but does not necessarily increase phosphorus loading because phosphorus concentrations in the tributaries decline during increased flow, possibly because of shorter retention times in upstream wetlands. Phosphorus loading to the lake in 2009 represented what occurred after a series of dry years; therefore, this information was combined with data from 2011, a wet year, to estimate phosphorus loading during a range of hydrologic conditions by estimating loading from each component of the phosphorus budget for each year from 1949 to 2011. Comparisons of historical water-quality records with historical water levels and applications of a hydrodynamic model (Dynamic Lake Model, DLM) and empirical eutrophication models were used to understand how changes in water level and the coinciding changes in phosphorus loading affect the water quality of Shell Lake. DLM simulations indicate that large changes in water level (approximately 10 ft) affect the persistence of stratification in the lake. During periods with low water levels, the lake is a well-mixed, polymictic system, with water quality degrading slightly as summer progresses. During periods with high water levels, the lake is more stratified, and phosphorus from internal loading is trapped in the hypolimnion and released later in summer, which results in more extreme seasonality in water quality and better clarity in early summer. Results of eutrophication model simulations using a range in external phosphorus inputs illustrate how water quality in Shell Lake (phosphorus and chlorophyll a concentrations and Secchi depths) responds to changes in external phosphorus loading. Results indicate that a 50-percent reduction in external loading from that measured in 2009 would be required to change phosphorus concentrations from 0.018 milligram per liter (mg/L) (measured in 2009) to 0.012 mg/L (estimated for the mid-1800s from analysis of diatoms in sediment cores). Such reductions in phosphorus loading cannot be accomplished by targeting septic systems or internal loading alone because septic systems contribute only about 3 percent of the phosphorus input to the lake, and internal loading from the sediments of Shell Lake contributes only about 25 percent of phosphorus input. Complete elimination of phosphorus from septic systems and internal loading would decrease the phosphorus concentrations in the lake by 0.003–0.004 mg/L. Therefore, reducing phosphorus concentration in the lake more than by 0.004 mg/L requires decreasing phosphorus loading from surface-water contributions, primarily runoff to the lake. Reconstructed changes in water quality from 1860 to 2010, based on changes in the diatom communities archived in the sediments and eutrophication model simulations, suggest that anthropogenic changes in the watershed (sawmill construction in 1881; the establishment of the village of Shell Lake; and land-use changes in the 1920s, including increased agriculture) had a much larger effect on water quality than the natural changes associated with fluctuations in water level. Although the effects of natural changes in water level on water quality appear to be small, changes in water level do have a modest effect on water quality, primarily manifested as small improvements during higher water levels. Fluctuations in water level, however, have a larger effect on the seasonality of water-quality patterns, with better water quality, especially increased Secchi depths, in early summer during years with high water levels.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135181","collaboration":"In cooperation with the City of Shell Lake, Wisconsin","usgsCitation":"Juckem, P.F., and Robertson, D.M., 2013, Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake: U.S. Geological Survey Scientific Investigations Report 2013-5181, Report: x, 77 p.; Appendix 1: PDF file; Appendix 2: PDF file, https://doi.org/10.3133/sir20135181.","productDescription":"Report: x, 77 p.; Appendix 1: PDF file; Appendix 2: PDF file","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045912","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":280323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135181.jpg"},{"id":280321,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181_appendix1.pdf"},{"id":280322,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181_appendix2.pdf"},{"id":280320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181.pdf"},{"id":280319,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5181/"}],"country":"United States","state":"Wisconsin","county":"Washburn County","otherGeospatial":"Shell Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.94286346435547,\n 45.75506798173109\n ],\n [\n -91.86355590820312,\n 45.75530752680575\n ],\n [\n -91.86424255371094,\n 45.70881653205482\n ],\n [\n -91.89960479736327,\n 45.7066587939899\n ],\n [\n -91.9068145751953,\n 45.70929601809127\n ],\n [\n -91.94252014160156,\n 45.70953575956707\n ],\n [\n -91.94286346435547,\n 45.75506798173109\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211fe4b0242fceec8584","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049012,"text":"sir20135183 - 2013 - Assessment of water-quality data from Long Lake National Wildlife Refuge, North Dakota--2008 through 2012","interactions":[],"lastModifiedDate":"2013-12-16T11:05:29","indexId":"sir20135183","displayToPublicDate":"2013-12-16T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5183","title":"Assessment of water-quality data from Long Lake National Wildlife Refuge, North Dakota--2008 through 2012","docAbstract":"ong Lake National Wildlife Refuge, located in south-central North Dakota, is an important habitat for numerous migratory birds and waterfowl, including several threatened or endangered species. The refuge is distinguished by Long Lake, which is approximately 65 square kilometers and consists of four primary water management units. Water levels in the Long Lake units are maintained by low-level dikes and water-control structures, which after construction during the 1930s increased the water-storage capacity of Long Lake and reduced the frequency and volume of flushing flows downstream. The altered water regime, along with the negative precipitation:evaporation ratio of the region, may be contributing to the accumulation of water-borne chemical constituents such as salts, trace metals, and other constituents, which at certain threshold concentrations may impair aquatic plant, invertebrate, and bird communities of the refuge. The refuge’s comprehensive conservation planning process identified the need for water-quality monitoring to assess current (2013) conditions, establish comparative baselines, evaluate changes over time (trends), and support adaptive management of the wetland units. In 2008, the U.S. Geological Survey, U.S. Fish and Wildlife Service, and North Dakota Department of Health began a water-quality monitoring program at Long Lake National Wildlife Refuge to address these needs. Biweekly water-quality samples were collected for ions, trace metals, and nutrients; and in situ sensors and data loggers were installed for the continuous measurement of specific conductance and water depth.\n\nLong Lake was characterized primarily by sodium, bicarbonate, and sulfate ions. Overall results for total alkalinity and hardness were 580 and 329 milligrams per liter, respectively; thus, Long Lake is considered alkaline and classified as very hard. The mean pH and sodium adsorption ratio for Long Lake were 8.8 and 10, respectively. Total dissolved solids concentrations averaged approximately 1,750 milligrams per liter, and ranged from 117 to 39,700 milligrams per liter. Twelve of the 14 trace metals detected in the water samples had established North Dakota water-quality standards for aquatic life, and only aluminum and copper consistently exceeded these criteria. Aluminum is considered harmful to aquatic biota in acidic (pH less than 5.5) systems and most of the copper standard exceedances were collected from highly concentrated waters because of evaporation and seasonally low water levels. Concentrations for various forms of nitrogen and phosphorus generally were similar to reported regional values.\n\nSpecific conductance of Long Lake varied seasonally and annually both within and among management units, with values ranging from less than 500 to nearly 40,000 microsiemens per centimeter at 25 degrees Celsius. Long Lake was characterized by consistent seasonal patterns of increasing specific conductance from spring (March and April) to fall (September and October), with levels stabilizing through the end of the sampling season (November). These seasonal patterns in specific conductance were associated with decreasing water levels throughout the summer due primarily to evaporation and continuous water releases through the Unit 1 outlet structure, which resulted in the concentration of salts. Specific conductance of each unit, along with water levels, also varied among years. Overall, specific conductance levels were greatest during the drier year of 2008 when water levels were low. Specific conductance levels were lowest during the spring of 2009 following above-average volumes of fresh water from snowmelt runoff. Comparisons of specific conductance among sample sites that were spatially distributed within each management unit suggested that spatial variability within units was low except for areas associated with local inflows.\n\nData collected during this study revealed consistent seasonal patterns and low within-unit spatial variability of specific conductance. Based on these data results, future sample collection efforts may be reduced, as well as the number of sample locations, to limit sampling costs. Water-quality samples collected monthly or seasonally during the growing season (spring, summer, and fall) from a single representative location within each water-management unit should provide sufficient data to assess seasonal changes in water-quality over time and provide information for Long Lake management decisions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135183","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and North Dakota Department of Health","usgsCitation":"Tangen, B., Finocchiaro, R.G., Gleason, R.A., Rabenberg, M.J., Dahl, C.F., and Ell, M., 2013, Assessment of water-quality data from Long Lake National Wildlife Refuge, North Dakota--2008 through 2012: U.S. Geological Survey Scientific Investigations Report 2013-5183, Report: vi, 27 p.; Appendix 1: XLSX file; Appendix 2: XLSX file, https://doi.org/10.3133/sir20135183.","productDescription":"Report: vi, 27 p.; Appendix 1: XLSX file; Appendix 2: XLSX file","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045659","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":280315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135183.jpg"},{"id":280316,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5183/"},{"id":280317,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5183/pdf/sir2013-5183.pdf"},{"id":280318,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5183/downloads/"}],"projection":"Universal Transverse Mercator, zone 13N","datum":"North American Datum of 1983","country":"United States","state":"North Dakota","otherGeospatial":"Long Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.327148,46.658156 ], [ -100.327148,46.773731 ], [ -99.983482,46.773731 ], [ -99.983482,46.658156 ], [ -100.327148,46.658156 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211ee4b0242fceec8576","contributors":{"authors":[{"text":"Tangen, Brian A. 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":467,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finocchiaro, Raymond G. rfinocchiaro@usgs.gov","contributorId":3673,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","middleInitial":"G.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rabenberg, Michael J.","contributorId":47278,"corporation":false,"usgs":true,"family":"Rabenberg","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dahl, Charles F. cdahl@usgs.gov","contributorId":4052,"corporation":false,"usgs":true,"family":"Dahl","given":"Charles","email":"cdahl@usgs.gov","middleInitial":"F.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ell, Mike J.","contributorId":101175,"corporation":false,"usgs":true,"family":"Ell","given":"Mike J.","affiliations":[],"preferred":false,"id":486020,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168902,"text":"70168902 - 2013 - Detectability of thermal signatures associated with active formation of ‘chaos terrain’ on Europa","interactions":[],"lastModifiedDate":"2016-03-07T16:02:36","indexId":"70168902","displayToPublicDate":"2013-12-15T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detectability of thermal signatures associated with active formation of ‘chaos terrain’ on Europa","docAbstract":"

A recent study by Schmidt et al. (2011) suggests that Thera Macula, one of the “chaos regions” on Europa, may be actively forming over a large liquid water lens. Such a process could conceivably produce a thermal anomaly detectable by a future Europa orbiter or flyby mission, allowing for a direct verification of this finding. Here, we present a set of models that quantitatively assess the surface and subsurface temperatures associated with an actively resurfacing chaos region using constraints from Thera Macula. The results of this numerical study suggest that the surface temperature over an active chaos region can be as high as ∼200 K. However, low-resolution Galileo Photo-Polarimeter Radiometer (PPR) observations indicate temperatures below 120 K over Thera Macula. This suggests that Thera Macula is not currently active unless an insulating layer of at least a few centimeters in thickness is present, or activity is confined to small regions, reducing the overall intensity of the thermal signature. Alternatively, Thera may have been cooling for at least 10–100 yr and still contain a subsurface lake, which can take ∼300,000 yr to crystallize. According to the present study, a more sensitive instrument capable of detecting anomalies ∼5 K above ambient could detect activity at Thera Macula even if an insulating layer of ∼50 cm is present.

\n

 

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.epsl.2013.09.027","usgsCitation":"Abramov, O., Rathbun, J., Schmidt, B.E., and Spencer, J.R., 2013, Detectability of thermal signatures associated with active formation of ‘chaos terrain’ on Europa: Earth and Planetary Science Letters, v. 384, p. 37-41, https://doi.org/10.1016/j.epsl.2013.09.027.","productDescription":"5 p.","startPage":"37","endPage":"41","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042686","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":318669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europa","volume":"384","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56deb441e4b015c306fb89b8","contributors":{"authors":[{"text":"Abramov, Oleg oabramov@usgs.gov","contributorId":604,"corporation":false,"usgs":true,"family":"Abramov","given":"Oleg","email":"oabramov@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":622102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rathbun, J.","contributorId":9814,"corporation":false,"usgs":true,"family":"Rathbun","given":"J.","affiliations":[],"preferred":false,"id":622103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Britney E.","contributorId":167380,"corporation":false,"usgs":false,"family":"Schmidt","given":"Britney","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":622104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, John R.","contributorId":167381,"corporation":false,"usgs":false,"family":"Spencer","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":622105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70118277,"text":"70118277 - 2013 - Discerning crystal growth from diffusion profiles in zoned olivine by in situ Mg–Fe isotopic analyses","interactions":[],"lastModifiedDate":"2014-07-28T11:13:27","indexId":"70118277","displayToPublicDate":"2013-12-15T11:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Discerning crystal growth from diffusion profiles in zoned olivine by in situ Mg–Fe isotopic analyses","docAbstract":"Mineral zoning is used in diffusion-based geospeedometry to determine magmatic timescales. Progress in this field has been hampered by the challenge to discern mineral zoning produced by diffusion from concentration gradients inherited from crystal growth. A zoned olivine phenocryst from Kilauea Iki lava lake (Hawaii) was selected for this study to evaluate the potential of Mg and Fe isotopes for distinguishing these two processes. Microdrilling of the phenocryst (∼300 μm drill holes) followed by MC-ICPMS analysis of the powders revealed negatively coupled Mg and Fe isotopic fractionations (δ26Mg from +0.1‰ to −0.2‰ and δ56Fe from −1.2‰ to −0.2‰ from core to rim), which can only be explained by Mg–Fe exchange between melt and olivine. The data can be explained with ratios of diffusivities of Mg and Fe isotopes in olivine scaling as D2/D1 = (m1/m2)β with βMg ∼0.16 and βFe ∼0.27. LA-MC-ICPMS and MC-SIMS Fe isotopic measurements are developed and are demonstrated to yield accurate δ56Fe measurements within precisions of ∼0.2‰ (1 SD) at spatial resolutions of ∼50 μm. δ56Fe and δ26Mg stay constant with Fo# in the rim (late-stage overgrowth), whereas in the core (original phenocryst) δ56Fe steeply trends toward lighter compositions and δ26Mg trends toward heavier compositions with higher Fo#. A plot of δ56Fe vs. Fo# immediately distinguishes growth-controlled from diffusion-controlled zoning in these two regions. The results are consistent with the idea that large isotopic fractionation accompanies chemical diffusion in crystals, whereas fractional crystallization induces little or no isotopic fractionation. The cooling timescale inferred from the chemical-isotope zoning profiles is consistent with the documented cooling history of the lava lake. In the absence of geologic context, in situ stable isotopic measurements may now be used to interpret the nature of mineral zoning. Stable isotope measurements by LA-MC-ICPMS and MC-SIMS can be used as standard petrologic tools to identify samples for diffusion-based geospeedometry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geochemical Society","publisherLocation":"New York, NY","doi":"10.1016/j.gca.2013.06.008","usgsCitation":"Sio, C.K., Dauphas, N., Teng, F., Chaussidon, M., Helz, R., and Roskosz, M., 2013, Discerning crystal growth from diffusion profiles in zoned olivine by in situ Mg–Fe isotopic analyses: Geochimica et Cosmochimica Acta, v. 123, p. 302-321, https://doi.org/10.1016/j.gca.2013.06.008.","productDescription":"20 p.","startPage":"302","endPage":"321","numberOfPages":"20","costCenters":[],"links":[{"id":291139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291138,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2013.06.008"}],"volume":"123","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1e7e4b0bc0bec0a008a","contributors":{"authors":[{"text":"Sio, Corliss Kin I.","contributorId":26634,"corporation":false,"usgs":true,"family":"Sio","given":"Corliss","email":"","middleInitial":"Kin I.","affiliations":[],"preferred":false,"id":496684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dauphas, Nicolas","contributorId":67430,"corporation":false,"usgs":true,"family":"Dauphas","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":496686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Fang-Zhen","contributorId":87075,"corporation":false,"usgs":true,"family":"Teng","given":"Fang-Zhen","email":"","affiliations":[],"preferred":false,"id":496688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaussidon, Marc","contributorId":99486,"corporation":false,"usgs":true,"family":"Chaussidon","given":"Marc","email":"","affiliations":[],"preferred":false,"id":496689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helz, Rosalind T. 0000-0003-1550-0684","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":66181,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind T.","affiliations":[],"preferred":false,"id":496685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roskosz, Mathieu","contributorId":72317,"corporation":false,"usgs":true,"family":"Roskosz","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":496687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70118560,"text":"70118560 - 2013 - Hydration free energies of cyanide and hydroxide ions from molecular dynamics simulations with accurate force fields","interactions":[],"lastModifiedDate":"2014-07-29T11:46:54","indexId":"70118560","displayToPublicDate":"2013-12-14T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3058,"text":"Physical Chemistry Chemical Physics","active":true,"publicationSubtype":{"id":10}},"title":"Hydration free energies of cyanide and hydroxide ions from molecular dynamics simulations with accurate force fields","docAbstract":"The evaluation of hydration free energies is a sensitive test to assess force fields used in atomistic simulations. We showed recently that the vibrational relaxation times, 1D- and 2D-infrared spectroscopies for CN(-) in water can be quantitatively described from molecular dynamics (MD) simulations with multipolar force fields and slightly enlarged van der Waals radii for the C- and N-atoms. To validate such an approach, the present work investigates the solvation free energy of cyanide in water using MD simulations with accurate multipolar electrostatics. It is found that larger van der Waals radii are indeed necessary to obtain results close to the experimental values when a multipolar force field is used. For CN(-), the van der Waals ranges refined in our previous work yield hydration free energy between -72.0 and -77.2 kcal mol(-1), which is in excellent agreement with the experimental data. In addition to the cyanide ion, we also study the hydroxide ion to show that the method used here is readily applicable to similar systems. Hydration free energies are found to sensitively depend on the intermolecular interactions, while bonded interactions are less important, as expected. We also investigate in the present work the possibility of applying the multipolar force field in scoring trajectories generated using computationally inexpensive methods, which should be useful in broader parametrization studies with reduced computational resources, as scoring is much faster than the generation of the trajectories.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Physical Chemistry Chemical Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society of Chemistry","publisherLocation":"Cambridge","doi":"10.1039/c3cp52713a","usgsCitation":"Lee, M.W., and Meuwly, M., 2013, Hydration free energies of cyanide and hydroxide ions from molecular dynamics simulations with accurate force fields: Physical Chemistry Chemical Physics, v. 15, no. 46, p. 20303-20312, https://doi.org/10.1039/c3cp52713a.","productDescription":"10 p.","startPage":"20303","endPage":"20312","numberOfPages":"10","costCenters":[],"links":[{"id":291295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291294,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/c3cp52713a"}],"volume":"15","issue":"46","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1e7e4b0bc0bec0a008c","contributors":{"authors":[{"text":"Lee, Myung W.","contributorId":84358,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","middleInitial":"W.","affiliations":[],"preferred":false,"id":497016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meuwly, M.","contributorId":79030,"corporation":false,"usgs":true,"family":"Meuwly","given":"M.","affiliations":[],"preferred":false,"id":497015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049001,"text":"ofr20131223 - 2013 - Wyoming Basin Rapid Ecoregional Assessment: Work Plan","interactions":[],"lastModifiedDate":"2013-12-13T13:32:50","indexId":"ofr20131223","displayToPublicDate":"2013-12-13T13:19:25","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":"2013-1223","title":"Wyoming Basin Rapid Ecoregional Assessment: Work Plan","docAbstract":"The overall goal of the Rapid Ecoregional Assessments (REAs) being conducted for the Bureau of Land Management (BLM) is to provide information that supports regional planning and analysis for the management of ecological resources. The REA provides an assessment of baseline ecological conditions, an evaluation of current risks from drivers of ecosystem change, and a predictive capacity for evaluating future risks. The REA also may be used for identifying priority areas for conservation or restoration and for assessing the cumulative effects of a variety of land uses. There are several components of the REAs. Management Questions, developed by the BLM and partners for the ecoregion, identify the information needed for addressing land-management responsibilities. Conservation Elements represent regionally significant aquatic and terrestrial species and communities that are to be conserved and (or) restored. The REA also will evaluate major drivers of ecosystem change (Change Agents) currently affecting or likely to affect the status of Conservation Elements. We selected 8 major biomes and 19 species or species assemblages to be included as Conservation Elements. We will address the four primary Change Agents—development, fire, invasive species, and climate change—required for the REA. The purpose of the work plan for the Wyoming Basin REA is to document the selection process for, and final list of, Management Questions, Conservation Elements, and Change Agents. The work plan also presents the overall assessment framework that will be used to assess the status of Conservation Elements and answer Management Questions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131223","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Carr, N.B., Garman, S.L., Walters, A., Ray, A., Melcher, C.P., Wesner, J.S., O’Donnell, M., Sherrill, K.R., Babel, N.C., and Bowen, Z.H., 2013, Wyoming Basin Rapid Ecoregional Assessment: Work Plan: U.S. Geological Survey Open-File Report 2013-1223, ix, 59 p., https://doi.org/10.3133/ofr20131223.","productDescription":"ix, 59 p.","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-045368","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":280299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131223.jpg"},{"id":280298,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1223/pdf/of2013-1223.pdf"},{"id":280297,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1223/"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,40.9947 ], [ -111.0569,45.0059 ], [ -104.0522,45.0059 ], [ -104.0522,40.9947 ], [ -111.0569,40.9947 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52ac2c90e4b004a77d23c4d1","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":485974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika","contributorId":56133,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","affiliations":[],"preferred":false,"id":485979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Andrea","contributorId":71869,"corporation":false,"usgs":true,"family":"Ray","given":"Andrea","affiliations":[],"preferred":false,"id":485981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":485976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesner, Jeff S.","contributorId":6754,"corporation":false,"usgs":true,"family":"Wesner","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":485977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Donnell, Michael S.","contributorId":60527,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael S.","affiliations":[],"preferred":false,"id":485980,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sherrill, Kirk R.","contributorId":83017,"corporation":false,"usgs":true,"family":"Sherrill","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485982,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Babel, Nils C.","contributorId":42862,"corporation":false,"usgs":true,"family":"Babel","given":"Nils","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485978,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":485973,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}