{"pageNumber":"945","pageRowStart":"23600","pageSize":"25","recordCount":184617,"records":[{"id":70188340,"text":"ofr20171068 - 2017 - Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2013–September 2015","interactions":[],"lastModifiedDate":"2017-09-27T13:53:49","indexId":"ofr20171068","displayToPublicDate":"2017-09-26T10:00:00","publicationYear":"2017","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":"2017-1068","title":"Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2013–September 2015","docAbstract":"<p>Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, during October 2013 through September 2014 (water year 2014) and October 2014 through September 2015 (water year 2015). Major findings for this period include:</p><ul><li>More than 5,500 individual measurements of water quality were made at a total of 15 sites—4 in the Neuse River Basin and 11 in the Cape Fear River Basin. Thirty water-quality properties or constituents were measured; State water-quality thresholds exist for 11 of these.</li><li>All observations met State water-quality thresholds for temperature, hardness, chloride, fluoride, sulfate, and nitrate plus nitrite.</li><li>North Carolina water-quality thresholds were exceeded one or more times for dissolved oxygen, dissolved-oxygen percent saturation, pH, turbidity, and chlorophyll <i>a</i>.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171068","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"Pfeifle, C.A., Cain, J.L., and Rasmussen, R.B., 2017, Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2013–September 2015: U.S. Geological Survey Open-File Report 2017–1068, 13 p., 1 table, 3 appendix files, https://doi.org/10.3133/ofr20171068.","productDescription":"Report: v, 13 p.; Appendixes 1-3; 1 Table; Data release","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078371","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":346015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1068/coverthb.jpg"},{"id":346016,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1068/ofr20171068.pdf","text":"Report","size":"4.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1068"},{"id":346017,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2017/1068/ofr20171068_table4.xlsx","text":"Table 4","size":"61.6 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Summary of water-quality results for sampled sites in the Triangle Area Water Supply Monitoring Project, October 2013 through September 2015"},{"id":346018,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1068/ofr20171068_appendix1.xlsx","text":"Appendix 1","size":"68.9 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Water-quality data for surface-water samples collected from October 2013 through September 2015 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina"},{"id":346020,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1068/ofr20171068_appendix3.xlsx","text":"Appendix 3","size":"31 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Analytical results for the environmental and replicate sample sets collected October 2013 through September 2015 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina"},{"id":346021,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75X274X","text":"USGS data release","description":"USGS data release","linkHelpText":"Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2013 - September 2015"},{"id":346019,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1068/ofr20171068_appendix2.xlsx","text":"Appendix 2","size":"23.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Analytical results for blanks collected during surface-water sampling at the Triangle Area Water Supply Monitoring Project study sites, North Carolina, October 2013 through September 2015"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Fear River Basin, Neuse River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.8,\n              35\n            ],\n            [\n              -78,\n              35\n            ],\n            [\n              -78,\n              36.45\n            ],\n            [\n              -79.8,\n              36.45\n            ],\n            [\n              -79.8,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/water/southatlantic/.\" data-mce-href=\"https://www.usgs.gov/water/southatlantic/.\">South Atlantic Water Science Center</a><br> U.S. Geological Survey<br> 720 Gracern Road<br> Stephenson Center, Suite 129<br> Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Monitoring Network</li><li>Quality Assurance</li><li>Streamflow</li><li>Water&nbsp;Quality</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-09-27","noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383dc","contributors":{"authors":[{"text":"Pfeifle, C.A. 0000-0001-5002-1625 cmendoza@usgs.gov","orcid":"https://orcid.org/0000-0001-5002-1625","contributorId":190398,"corporation":false,"usgs":true,"family":"Pfeifle","given":"C.A.","email":"cmendoza@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":697323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, J.L. 0000-0002-0563-8586 jcain@usgs.gov","orcid":"https://orcid.org/0000-0002-0563-8586","contributorId":192667,"corporation":false,"usgs":true,"family":"Cain","given":"J.L.","email":"jcain@usgs.gov","affiliations":[],"preferred":false,"id":697324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, R.B. 0000-0003-3059-5511 rbrasmus@usgs.gov","orcid":"https://orcid.org/0000-0003-3059-5511","contributorId":192668,"corporation":false,"usgs":true,"family":"Rasmussen","given":"R.B.","email":"rbrasmus@usgs.gov","affiliations":[],"preferred":false,"id":697325,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190835,"text":"ofr20171112 - 2017 - Analysis of seafloor change around Dauphin Island, Alabama, 1987–2015","interactions":[],"lastModifiedDate":"2018-02-12T09:50:41","indexId":"ofr20171112","displayToPublicDate":"2017-09-26T09:15:00","publicationYear":"2017","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":"2017-1112","title":"Analysis of seafloor change around Dauphin Island, Alabama, 1987–2015","docAbstract":"<p>Dauphin Island is a 26-km-long barrier island located southwest of Mobile Bay, Alabama, in the north-central Gulf of Mexico. The island contains sandy beaches, dunes, maritime forests, freshwater ponds and intertidal wetlands, providing habitat for many endangered and threatened species. Dauphin Island also provides protection for and maintains estuarine conditions within Mississippi Sound, supporting oyster habitat and seagrasses. Wetland marshes along the Alabama mainland are protected by the island from wave-induced erosion during storms approaching from the Gulf of Mexico. Over the years, the island has been eroded by storms, most recently by Hurricane Ivan (2004) and Hurricane Katrina (2005) (Ivan/Katrina), which breached the island along its narrowest extent and caused damage to infrastructure. Along with storms producing significant episodic change, long-term beach erosion has exposed numerous pine tree stumps in the shoreface. The stumps are remnants of past maritime forests and reflect the consistent landward retreat of the island.</p><p>Island change has prompted the State of Alabama to evaluate restoration alternatives to increase island resilience and sustainability by protecting and preserving the natural habitat, and by understanding the processes that influence shoreline change. Under a grant from the National Fish and Wildlife Foundation, restoration alternatives are being developed that will allow the State to make decisions on engineering and ecological restoration designs based on scientific analysis of likely outcomes and tradeoffs between impacts to stakeholder interests. Science-based assessment of the coastal zone requires accurate and up-to-date baseline data to provide a valid image of present conditions and to support modeling of coastal processes. Bathymetric elevation measurements are essential to this requirement. In August 2015, the U.S. Army Corps of Engineers and the U.S. Geological Survey conducted single beam and multibeam bathymetric surveys around Dauphin Island using a variety of shallow draft vessels and equipment. More than 95 square kilometers of seafloor was imaged. The data were integrated into a seamless digital elevation model to provide a high-resolution bathymetric map of the seafloor extending 9.5 kilometers seaward from the island’s eastern end and approximately 2 km along the rest of the island on the gulf and sound sides. Water depths range from 0.3 to 15.0 meters (m), with depths greater than 10.0 m constrained to the Mobile ship channel on the extreme eastern flank of the coverage.</p><p>To measure seafloor change, two periods of historic hydrographic survey data were acquired from the National Oceanic and Atmospheric Administration National Centers for Environmental Information data archive. The two timeframes (1987–1988 and 2005–2007) were selected for their completeness of spatial coverage and because they encompass a period of significant storm impacts to the island. These timeframes were compared to each other and with the 2015 dataset to monitor elevation gain (sediment accretion) and elevation loss (sediment erosion) over time. Sediment dynamics is by far the most significant driver of nearshore elevation change in this area. The Mississippi-Alabama inner shelf is a passive margin, and other influences on elevation change (for example, tectonic adjustment, Holocene subsidence, and eustatic sea-level rise) are neither significant nor variable enough over this time period to have an imprint.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171112","usgsCitation":"Flocks, J.G., DeWitt, N.T., and Stalk, C.A., 2018, Analysis of seafloor change around Dauphin Island, Alabama, 1987–2015 (ver. 1.1, February 2018): <br>U.S. Geological Survey Open-File Report 2017–1112, 19 p., https://doi.org/10.3133/ofr20171112.","productDescription":"vi, 19 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-087463","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":351225,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2017/1112/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"}},{"id":346060,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1112/coverthb.jpg"},{"id":346061,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1112/ofr20171112.pdf","text":"Report","size":"16.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1112"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.37539672851561,\n              30.190244210264005\n            ],\n            [\n              -88.03756713867188,\n              30.190244210264005\n            ],\n            [\n              -88.03756713867188,\n              30.298203605616226\n            ],\n            [\n              -88.37539672851561,\n              30.298203605616226\n            ],\n            [\n              -88.37539672851561,\n              30.190244210264005\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted September 2017; Version 1.1: February 12, 2018","contact":"<p><a href=\"https://coastal.er.usgs.gov/\" data-mce-href=\"https://coastal.er.usgs.gov/\">St. Petersburg Science Center</a><br> U.S. Geological Survey<br> 600 4th Street, South<br> St Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction&nbsp;</li><li>Description of Study Area</li><li>Results and Discussion</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-09-26","revisedDate":"2018-02-12","noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"59cb672be4b017cf3141c66f","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":710627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stalk, Chelsea A. 0000-0002-5637-6280 cstalk@usgs.gov","orcid":"https://orcid.org/0000-0002-5637-6280","contributorId":193183,"corporation":false,"usgs":true,"family":"Stalk","given":"Chelsea A.","email":"cstalk@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":710628,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189763,"text":"sir20175076 - 2017 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, May 23–27, 2016","interactions":[],"lastModifiedDate":"2017-09-27T08:49:34","indexId":"sir20175076","displayToPublicDate":"2017-09-26T00:00:00","publicationYear":"2017","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":"2017-5076","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, May 23–27, 2016","docAbstract":"<p>Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 13 bridges at 8 highway crossings of the Missouri and Mississippi Rivers in the greater St. Louis, Missouri, area from May 23 to 27, 2016. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,640 to 1,970 feet longitudinally and extending laterally across the active channel from bank to bank during low to moderate flood flow conditions. These bathymetric surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood flow comparison to help assess the bridges for stability and integrity issues with respect to bridge scour during floods.</p><p>Bathymetric data were collected around every pier that was in water, except those at the edge of water, and scour holes were observed at most surveyed piers. The observed scour holes at the surveyed bridges were examined with respect to shape and depth.</p><p>The frontal slope values determined for scour holes observed in the current (2016) study generally are similar to recommended values in the literature and to values determined for scour holes in previous bathymetric surveys. Several of the structures had piers that were skewed to primary approach flow, as indicated by the scour hole being longer on the side of the pier with impinging flow, and some amount of deposition on the leeward side, as typically has been observed at piers skewed to approach flow; however, at most skewed piers in the current (2016) study, the scour hole was deeper on the leeward side of the pier. At most of these piers, the angled approach flow was the result of a deflection or contraction of flow caused by a spur dike near the pier, which may affect flow differently than for a simple skew. At structure A6500 (site 33), the wide face of the pier footing and seal course would behave as a complex foundation, for which scour is computed differently.</p><p>Previous bathymetric surveys exist for all the sites examined in this study. A previous survey in October 2010 at most of the sites had similar flow conditions and similar results to the 2016 surveys. A survey during flood conditions in August 2011 at the sites on the Missouri River and in May 2009 at structures A4936 and A1850 (site 35) on the Mississippi River did not always indicate more substantial scour during flood conditions. At structure A6500 (site 33) on the Mississippi River, a previous survey in 2009 was part of a habitat assessment before construction of the bridge and provides unique insight into the effects of the construction of that bridge on the channel in this reach. Substantial scour was observed near the right pier, and the riprap blanket surrounding the left pier seems to limit scour near that pier. Multiple additional surveys have been completed at structures A4936 and A1850 (site 35) on the Mississippi River, and the results of these surveys also are presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175076","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2017, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, May 23–27, 2016: U.S. Geological Survey Scientific Investigations Report 2017–5076, 102 p., https://doi.org/10.3133/sir20175076.","productDescription":"Report: x, 102 p.; Data Release","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086447","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":346078,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1VCC","text":"USGS Data Release","linkHelpText":"Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, October 2008 through May 2016"},{"id":346076,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5076/coverthb.jpg"},{"id":346077,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5076/sir20175076.pdf","text":"Report","size":"17.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5076"}],"country":"United States","state":"Missouri","city":"St. Louis","otherGeospatial":"Mississippi River, Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.69419860839844,\n              38.42293213401053\n            ],\n            [\n              -90.06935119628906,\n              38.42293213401053\n            ],\n            [\n              -90.06935119628906,\n              38.92843409820933\n            ],\n            [\n              -90.69419860839844,\n              38.92843409820933\n            ],\n            [\n              -90.69419860839844,\n              38.42293213401053\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_mo@usgs.gov\" data-mce-href=\"mailto: dc_mo@usgs.gov\">Director</a>,&nbsp;<a href=\"https://mo.water.usgs.gov/\" data-mce-href=\"https://mo.water.usgs.gov/\">Missouri Water Science Center</a> <br>U.S. Geological Survey <br>1400 Independence Road<br>Rolla, MO 65401&nbsp;<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Results of Bathymetric and Velocimetric Surveys<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendix 1. Shaded Triangulated Irregular Network Images of the Channel and Side of Pier for Each Surveyed Pier<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-09-26","noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"59cb672ee4b017cf3141c681","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706245,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190133,"text":"ofr20171105 - 2017 - Field manual for identifying and preserving high-water mark data","interactions":[],"lastModifiedDate":"2017-09-26T16:25:05","indexId":"ofr20171105","displayToPublicDate":"2017-09-26T00:00:00","publicationYear":"2017","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":"2017-1105","title":"Field manual for identifying and preserving high-water mark data","docAbstract":"<p>This field manual provides general guidance for identifying and collecting high-water marks and is meant to be used by field personnel as a quick reference. The field manual describes purposes for collecting and documenting high-water marks along with the most common types of high-water marks. The manual provides a list of suggested field equipment, describes rules of thumb and best practices for finding high-water marks, and describes the importance of evaluating each high-water mark and assigning a numeric uncertainty value as part of the flagging process. The manual also includes an appendix of photographs of a variety of high-water marks obtained from various U.S. Geological Survey field investigations along with general comments about the logic for the assigned uncertainty values.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171105","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Feaster, T.D., and Koenig, T.A, 2017, Field manual for identifying and preserving high-water mark data: U.S. Geological Survey Open-File Report 2017–1105, 67 p., https://doi.org/10.3133/ofr20171105.","productDescription":"x, 67 p.","numberOfPages":"80","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-087515","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":346094,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1105/ofr20171105.pdf","text":"Report","size":"4.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1105"},{"id":346095,"rank":3,"type":{"id":21,"text":"Referenced Work"},"url":"https://doi.org/10.3133/tm3A24","text":"T & M 3–A24","description":"T & M 3–A24"},{"id":346093,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1105/coverthb2.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>720 Gracern Road<br>Stephenson Center, Suite 129<br>Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose of High-Water Marks<br></li><li>Suggested Field Equipment for High-Water Mark Data Collection<br></li><li>Types of High-Water Marks<br></li><li>Rules of Thumb for Finding High-Water Marks<br></li><li>Location of High-Water Marks<br></li><li>Flagging and Documenting High-Water Marks<br></li><li>Evaluating High-Water Marks<br></li><li>Best Practices—Developing an Eye for Finding High-Water Marks and Avoiding Pitfalls<br></li><li>References Cited<br></li><li>Appendix 1. High-Water Mark Examples<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-09-26","noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"59cb672ee4b017cf3141c67f","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":195395,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby","email":"tfeaster@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":707614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Todd A. 0000-0001-5635-0219 tkoenig@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-0219","contributorId":4463,"corporation":false,"usgs":true,"family":"Koenig","given":"Todd","email":"tkoenig@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":711165,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191090,"text":"70191090 - 2017 - The influence of soil resources and plant traits on invasion and restoration in a subtropical woodland","interactions":[],"lastModifiedDate":"2018-01-04T08:25:07","indexId":"70191090","displayToPublicDate":"2017-09-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of soil resources and plant traits on invasion and restoration in a subtropical woodland","docAbstract":"It has been shown in some cases that nitrogen (N) addition to soil will increase abundance of plant invaders because many invaders have traits that promote rapid growth in response to high resource supply. Similarly, it has been suggested, and sometimes shown, that decreasing soil N via carbon (C) additions can facilitate native species recovery. Yet all species are unlikely to respond to resource supply in the same way. We asked how soil nutrients and competition affect native and exotic woody species in a restoration experiment where we added N or C, and crossed soil manipulation with the manipulation of dominant exotic grass abundance in a Hawaiian subtropical woodland. We related changes in survival and growth of outplanted individuals to native/exotic status and plant traits. As a group, N-fixers showed reduced survival compared to non-fixers in response to added N, with Morella faya (exotic) and Acacia koa (native) having dramatic negative responses. Among non-fixers, species with greater foliar %N had more positive survival responses to increasing soil N. Specific leaf area was not predictive of responses to nutrients or competition. In general, responses to carbon addition were weak, although reducing competition from existing exotic grasses was beneficial for all outplanted species, with N-fixers showing the most positive response. We conclude that commonly used restoration strategies to clear exotic species or lower soil resources with C addition will most greatly benefit N-fixing species, which themselves may be unwanted invaders. Thus statements about the influence of increased soil N on invasions should be carefully dissected by considering the traits (such as N-fixation status) of the regional species pool.","language":"English","publisher":"Springer","doi":"10.1007/s11258-017-0757-3","usgsCitation":"Yelenik, S.G., D’Antonio, C.M., and August-Schmidt, E., 2017, The influence of soil resources and plant traits on invasion and restoration in a subtropical woodland: Plant Ecology, v. 218, no. 10, p. 1149-1161, https://doi.org/10.1007/s11258-017-0757-3.","productDescription":"12 p.","startPage":"1149","endPage":"1161","ipdsId":"IP-080173","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":346087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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M.","contributorId":196690,"corporation":false,"usgs":false,"family":"D’Antonio","given":"Carla","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"August-Schmidt, Elizabeth","contributorId":196691,"corporation":false,"usgs":false,"family":"August-Schmidt","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":711142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191091,"text":"70191091 - 2017 - Introduced American Bullfrog distribution and diets in Grand Teton National Park","interactions":[],"lastModifiedDate":"2017-09-26T10:33:59","indexId":"70191091","displayToPublicDate":"2017-09-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Introduced American Bullfrog distribution and diets in Grand Teton National Park","docAbstract":"<p>Introduced American Bullfrogs (Lithobates catesbeianus) have been present in Grand Teton National Park since approximately the 1950s, but little is known about their distribution and potential impacts. In this study, we surveyed the current bullfrog distribution and spatial overlap with sympatric native amphibians in the park, and characterized post-metamorphic bullfrog diets from July – September 2015. Despite surveys in multiple large rivers and floodplain habitats, we only documented bullfrogs in a geothermal pond and 5 km of stream channel immediately downstream of this pond. In these waters, bullfrogs overlapped with native amphibians at the downstream end of their distribution, and we did not document native amphibians in bullfrog stomach contents. Larger bullfrogs (SVL ≥ 96 mm) primarily consumed native rodents (especially meadow voles, <i>Microtus pennsylvanicus</i>), while smaller bullfrogs frequently consumed native invertebrates and less frequently consumed non-native invertebrates and fish. Taken together, these data indicate that the distribution and implications of the bullfrog invasion in Grand Teton National Park are currently localized to a small area, so these bullfrogs should therefore be vulnerable to eradication.</p>","language":"English","publisher":"Northwest Science Association","doi":"10.3955/046.091.0305","collaboration":"Grand Teton National Park; Greater Yellowstone Inventory & Monitoring Network","usgsCitation":"Flynn, L.M., Kreofsky, T.M., and Sepulveda, A.J., 2017, Introduced American Bullfrog distribution and diets in Grand Teton National Park: Northwest Science, v. 3, no. 91, p. 244-256, https://doi.org/10.3955/046.091.0305.","productDescription":"13 p.","startPage":"244","endPage":"256","ipdsId":"IP-074245","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":346086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National 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,{"id":70190591,"text":"sir20175101 - 2017 - Bathymetric surveys of the Neosho River, Spring River, and Elk River, northeastern Oklahoma and southwestern Missouri, 2016–17","interactions":[],"lastModifiedDate":"2017-11-02T17:06:23","indexId":"sir20175101","displayToPublicDate":"2017-09-26T00:00:00","publicationYear":"2017","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":"2017-5101","title":"Bathymetric surveys of the Neosho River, Spring River, and Elk River, northeastern Oklahoma and southwestern Missouri, 2016–17","docAbstract":"<p>In February 2017, the Grand River Dam Authority filed to relicense the Pensacola Hydroelectric Project with the Federal Energy Regulatory Commission. The predominant feature of the Pensacola Hydroelectric Project is Pensacola Dam, which impounds Grand Lake O’ the Cherokees (locally called Grand Lake) in northeastern Oklahoma. Identification of information gaps and assessment of project effects on stakeholders are central aspects of the Federal Energy Regulatory Commission relicensing process. Some upstream stakeholders have expressed concerns about the dynamics of sedimentation and flood flows in the transition zone between major rivers and Grand Lake O’ the Cherokees. To relicense the Pensacola Hydroelectric Project with the Federal Energy Regulatory Commission, the hydraulic models for these rivers require high-resolution bathymetric data along the river channels. In support of the Federal Energy Regulatory Commission relicensing process, the U.S. Geological Survey, in cooperation with the Grand River Dam Authority, performed bathymetric surveys of (1) the Neosho River from the Oklahoma border to the U.S. Highway 60 bridge at Twin Bridges State Park, (2) the Spring River from the Oklahoma border to the U.S. Highway 60 bridge at Twin Bridges State Park, and (3) the Elk River from Noel, Missouri, to the Oklahoma State Highway 10 bridge near Grove, Oklahoma. The Neosho River and Spring River bathymetric surveys were performed from October 26 to December 14, 2016; the Elk River bathymetric survey was performed from February 27 to March 21, 2017. Only areas inundated during those periods were surveyed.</p><p>The bathymetric surveys covered a total distance of about 76 river miles and a total area of about 5 square miles. Greater than 1.4 million bathymetric-survey data points were used in the computation and interpolation of bathymetric-survey digital elevation models and derived contours at 1-foot (ft) intervals. The minimum bathymetric-survey elevation of the Neosho River was 709.18 ft above North American Vertical Datum of 1988, which corresponds to a maximum depth of 34.22 ft. The minimum bathymetric-survey elevation of the Spring River was 714.18 ft above North American Vertical Datum of 1988, which corresponds to a maximum depth of 29.22 ft. The minimum bathymetric-survey elevation of the Elk River was 715.62 ft above North American Vertical Datum of 1988, which corresponds to a maximum depth of 27.78 ft.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175101","collaboration":"Prepared in cooperation with the Grand River Dam Authority","usgsCitation":"Hunter, S.L., Ashworth, C.E., and Smith, S.J., 2017, Bathymetric surveys of the Neosho River, Spring River, and Elk River, northeastern Oklahoma and southwestern Missouri, 2016–17 (ver. 1.1, October 2017): U.S. Geological Survey Scientific Investigations Report 2017–5101, 59 p., https://doi.org/10.3133/sir20175101.","productDescription":"Report: 59 p.; Data Release","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-087073","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":346091,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71N7ZMS","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Bathymetric surveys of the Neosho River, Spring River, and Elk River, northeastern Oklahoma and southwestern Missouri, 2016–17"},{"id":348038,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5101/coverthb2.jpg"},{"id":348039,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5101/sir20175101_ver1.1.pdf","text":"Report","size":"75.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5101"},{"id":348040,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5101/versionHist.txt","text":"Version History","size":"1.68 kB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Neosho River, Spring River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.1,\n              36.8\n            ],\n            [\n              -94.5667,\n              36.8\n            ],\n            [\n              -94.5667,\n              37.0333\n            ],\n            [\n              -95.1,\n              37.0333\n            ],\n            [\n              -95.1,\n              36.8\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.7,\n              36.6667\n            ],\n            [\n              -94.4667,\n              36.6667\n            ],\n            [\n              -94.4667,\n              36.5333\n            ],\n            [\n              -94.7,\n              36.5333\n            ],\n            [\n              -94.7,\n              36.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted September 26, 2017; Version 1.1: October 25, 2017","contact":"<p><a href=\"mailto: dc_ok@usgs.gov\" data-mce-href=\"mailto: dc_ok@usgs.gov\">Director</a>, <a href=\"https://ok.water.usgs.gov/\" data-mce-href=\"https://ok.water.usgs.gov/\">Oklahoma Water Science Center</a><br>U.S. Geological Survey <br>202 NW 66th, Bldg 7&nbsp;<br>Oklahoma City, OK 73116<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Bathymetric-Survey Methods<br></li><li>Bathymetric-Survey Results<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1 Maps showing extents for maps in appendixes 2–4 that show bathymetric surveys of the Neosho River, Spring River, and Elk River, northeastern Oklahoma and southwestern Missouri, 2016–17<br></li><li>Appendix 2 Maps showing bathymetric survey of the Neosho River, northeastern Oklahoma, 2016<br></li><li>Appendix 3 Maps showing bathymetric survey of the Spring River, northeastern Oklahoma, 2016<br></li><li>Appendix 4 Maps showing bathymetric survey of the Elk River, northeastern Oklahoma and southwestern Missouri, 2017<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-09-26","revisedDate":"2017-11-01","noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"59cb672de4b017cf3141c678","contributors":{"authors":[{"text":"Hunter, Shelby L. 0000-0002-3049-7498 slhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-3049-7498","contributorId":196289,"corporation":false,"usgs":true,"family":"Hunter","given":"Shelby L.","email":"slhunter@usgs.gov","affiliations":[],"preferred":false,"id":709926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashworth, Chad E.","contributorId":62449,"corporation":false,"usgs":true,"family":"Ashworth","given":"Chad E.","affiliations":[],"preferred":false,"id":709927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190151,"text":"fs20173063 - 2017 - Streamflow of 2016—Water year summary","interactions":[],"lastModifiedDate":"2017-09-27T08:53:24","indexId":"fs20173063","displayToPublicDate":"2017-09-26T00:00:00","publicationYear":"2017","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":"2017-3063","title":"Streamflow of 2016—Water year summary","docAbstract":"<p>The maps and graphs in this summary describe national streamflow conditions for water year 2016 (October 1, 2015, to September 30, 2016) in the context of streamflow ranks relative to the 87-year period of 1930–2016, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey’s (USGS) National Streamflow Network. The period of 1930–2016 was used because the number of streamgages before 1930 was too small to provide representative data for computing statistics for most regions of the country.</p><p>In the summary, reference is made to the term “runoff,” which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a specified period was uniformly distributed on it. Runoff quantifies the magnitude of water flowing through the Nation’s rivers and streams in measurement units that can be compared from one area to another.</p><p>In all the graphics, a rank of 1 indicates the highest flow of all years analyzed and 87 indicates the lowest flow of all years. Rankings of streamflow are grouped into much below normal, below normal, normal, above normal, and much above normal based on percentiles of flow (less than 10 percent, 10–24 percent, 25–75 percent, 76–90 percent, and greater than 90 percent, respectively). Some of the data used to produce the maps and graphs are provisional and subject to change.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173063","usgsCitation":"Jian, Xiaodong, Wolock, D.M., Lins, H.F., and Brady, S.J., 2017, Streamflow of 2016—Water year summary: U.S. Geological Survey Fact Sheet 2017–3063, 6 p., https://doi.org/10.3133/fs20173063.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-088111","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":346071,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3063/coverthb.jpg"},{"id":346072,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3063/fs20173063.pdf","text":"Fact Sheet","size":"524 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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States\"}}]}","contact":"<p><a href=\"https://water.usgs.gov/osw/\" data-mce-href=\"https://water.usgs.gov/osw/\">Office of Surface Water</a><br>U.S. Geological Survey <br>415 National Center <br>Reston, VA 20192&nbsp;</p>","tableOfContents":"<ul><li>Introduction<br></li><li>National Overview<br></li><li>Regional Patterns<br></li><li>Seasonal Characteristics<br></li><li>High and Low Flows<br></li><li>Additional Information<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-09-26","noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"59cb672de4b017cf3141c67b","contributors":{"authors":[{"text":"Jian, Xiaodong 0000-0002-9173-3482 xjian@usgs.gov","orcid":"https://orcid.org/0000-0002-9173-3482","contributorId":1282,"corporation":false,"usgs":true,"family":"Jian","given":"Xiaodong","email":"xjian@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science 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hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":711152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steven J. 0000-0002-8527-5227 sbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-5227","contributorId":4071,"corporation":false,"usgs":true,"family":"Brady","given":"Steven","email":"sbrady@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":711153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191080,"text":"70191080 - 2017 - Structural equation model of total phosphorus loads in the Red River of the North Basin, USA and Canada","interactions":[],"lastModifiedDate":"2017-10-12T19:51:14","indexId":"70191080","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Structural equation model of total phosphorus loads in the Red River of the North Basin, USA and Canada","docAbstract":"<p><span>Attribution of the causes of trends in nutrient loading is often limited to correlation, qualitative reasoning, or references to the work of others. This paper represents efforts to improve causal attribution of water-quality changes. The Red River of the North basin provides a regional test case because of international interest in the reduction of total phosphorus loads and the availability of long-term total phosphorus data and ancillary geospatial data with the potential to explain changes in water quality over time. The objectives of the study are to investigate structural equation modeling methods for application to water-quality problems and to test causal hypotheses related to the drivers of total phosphorus loads over the period 1970 to 2012. Multiple working hypotheses that explain total phosphorus loads and methods for estimating missing ancillary data were developed, and water-quality related challenges to structural equation modeling (including skewed data and scaling issues) were addressed. The model indicates that increased precipitation in season 1 (November–February) or season 2 (March–June) would increase total phosphorus loads in the basin. The effect of agricultural practices on total phosphorus loads was significant, although the effect is about one-third of the effect of season 1 precipitation. The structural equation model representing loads at six sites in the basin shows that climate and agricultural practices explain almost 60% of the annual total phosphorus load in the Red River of the North basin. The modeling process and the unexplained variance highlight the need for better ancillary long-term data for causal assessments.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2017.04.0131","usgsCitation":"Ryberg, K.R., 2017, Structural equation model of total phosphorus loads in the Red River of the North Basin, USA and Canada: Journal of Environmental Quality, v. 46, no. 5, p. 1072-1080, https://doi.org/10.2134/jeq2017.04.0131.","productDescription":"9 p.","startPage":"1072","endPage":"1080","ipdsId":"IP-075962","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":469503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2017.04.0131","text":"Publisher Index Page"},{"id":346042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Red River of the North Basin","volume":"46","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15a7e4b017cf314041a4","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711096,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191053,"text":"70191053 - 2017 - Projecting impacts of climate change on water availability using artificial neural network techniques","interactions":[],"lastModifiedDate":"2017-09-25T11:54:31","indexId":"70191053","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Projecting impacts of climate change on water availability using artificial neural network techniques","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>Lago Loíza reservoir in east-central Puerto Rico is one of the primary sources of public water supply for the San Juan metropolitan area. To evaluate and predict the Lago Loíza water budget, an artificial neural network (ANN) technique is trained to predict river inflows. A method is developed to combine ANN-predicted daily flows with ANN-predicted 30-day cumulative flows to improve flow estimates. The ANN application trains well for representing 2007–2012 and the drier 1994–1997 periods. Rainfall data downscaled from global circulation model (GCM) simulations are used to predict 2050–2055 conditions. Evapotranspiration is estimated with the Hargreaves equation using minimum and maximum air temperatures from the downscaled GCM data. These simulated 2050–2055 river flows are input to a water budget formulation for the Lago Loíza reservoir for comparison with 2007–2012. The ANN scenarios require far less computational effort than a numerical model application, yet produce results with sufficient accuracy to evaluate and compare hydrologic scenarios. This hydrologic tool will be useful for future evaluations of the Lago Loíza reservoir and water supply to the San Juan metropolitan area.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)WR.1943-5452.0000844","usgsCitation":"Swain, E.D., Gomez-Fragoso, J., and Torres-Gonzalez, S., 2017, Projecting impacts of climate change on water availability using artificial neural network techniques: Journal of Water Resources Planning and Management, v. 143, no. 12, Article 04017068; 18 p., https://doi.org/10.1061/(ASCE)WR.1943-5452.0000844.","productDescription":"Article 04017068; 18 p.","ipdsId":"IP-074927","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":346048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Lago Loíza Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.15142822265625,\n              18.083200903334312\n            ],\n            [\n              -65.83694458007812,\n              18.083200903334312\n            ],\n            [\n              -65.83694458007812,\n              18.397533244520528\n            ],\n            [\n              -66.15142822265625,\n              18.397533244520528\n            ],\n            [\n              -66.15142822265625,\n              18.083200903334312\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","issue":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15abe4b017cf314041b3","contributors":{"authors":[{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez-Fragoso, Julieta jgomez-fragoso@usgs.gov","contributorId":176743,"corporation":false,"usgs":true,"family":"Gomez-Fragoso","given":"Julieta","email":"jgomez-fragoso@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Gonzalez, Sigfredo sttorres@usgs.gov","contributorId":3997,"corporation":false,"usgs":true,"family":"Torres-Gonzalez","given":"Sigfredo","email":"sttorres@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711069,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191081,"text":"70191081 - 2017 - Factors associated with bat mortality at wind energy facilities in the United States","interactions":[],"lastModifiedDate":"2017-09-25T11:29:56","indexId":"70191081","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Factors associated with bat mortality at wind energy facilities in the United States","docAbstract":"<p><span>Hundreds of thousands of bats are killed annually by colliding with wind turbines in the U.S., yet little is known about factors causing variation in mortality across wind energy facilities. We conducted a quantitative synthesis of bat collision mortality with wind turbines by reviewing 218 North American studies representing 100 wind energy facilities. This data set, the largest compiled for bats to date, provides further evidence that collision mortality is greatest for migratory tree-roosting species (Hoary Bat [</span><i>Lasiurus cinereus</i><span>], Eastern Red Bat [</span><i>Lasiurus borealis</i><span>], Silver-haired Bat [</span><i>Lasionycteris noctivagans</i><span>]) and from July to October. Based on 40 U.S. studies meeting inclusion criteria and analyzed under a common statistical framework to account for methodological variation, we found support for an inverse relationship between bat mortality and percent grassland cover surrounding wind energy facilities. At a national scale, grassland cover may best reflect openness of the landscape, a factor generally associated with reduced activity and abundance of tree-roosting species that may also reduce turbine collisions. Further representative sampling of wind energy facilities is required to validate this pattern. Ecologically informed placement of wind energy facilities involves multiple considerations, including not only factors associated with bat mortality, but also factors associated with bird collision mortality, indirect habitat-related impacts to all species, and overall ecosystem impacts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2017.09.014","usgsCitation":"Thompson, M., Beston, J.A., Etterson, M.A., Diffendorfer, J., and Loss, S., 2017, Factors associated with bat mortality at wind energy facilities in the United States: Biological Conservation, v. 215, p. 241-245, https://doi.org/10.1016/j.biocon.2017.09.014.","productDescription":"5 p.","startPage":"241","endPage":"245","ipdsId":"IP-084171","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469502,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6490962","text":"Publisher Index Page"},{"id":346041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"215","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15a6e4b017cf3140419f","contributors":{"authors":[{"text":"Thompson, Maureen","contributorId":196680,"corporation":false,"usgs":false,"family":"Thompson","given":"Maureen","email":"","affiliations":[],"preferred":false,"id":711099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":711100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Etterson, Matthew A.","contributorId":108012,"corporation":false,"usgs":false,"family":"Etterson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":711101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":711098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":711102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191064,"text":"70191064 - 2017 - Coming to terms about describing Golden Eagle reproduction","interactions":[],"lastModifiedDate":"2017-11-22T16:43:46","indexId":"70191064","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","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":"Coming to terms about describing Golden Eagle reproduction","docAbstract":"<p><span>Clearly defined terms are essential for reporting and understanding research findings, and inconsistent terminology can complicate efforts to compare findings from different studies. In this article, we reiterate and clarify recommended terms for describing Golden Eagle (</span><i>Aquila chrysaetos</i><span>) territory occupancy and reproduction. Several authors have provided recommendations for reporting data on raptor reproduction, but our literature review showed that authors continue to use different, often ambiguous and undefined, terms. The inconsistent use of terminology by researchers has been continued and expanded by lawmakers, regulators, and managers, perpetuating confusion. We recommend that authors clearly define and reference all terminology that they use, and we caution against use of the term “active” to describe a nest or nesting territory, because it is tainted with a history of inconsistent use. We provide a glossary of recommended terms for Golden Eagles and other large, long-lived raptors.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-46.1","usgsCitation":"Steenhof, K., Kochert, M.N., McIntyre, C.L., and Brown, J.L., 2017, Coming to terms about describing Golden Eagle reproduction: Journal of Raptor Research, v. 51, no. 3, p. 378-390, https://doi.org/10.3356/JRR-16-46.1.","productDescription":"13 p.","startPage":"378","endPage":"390","ipdsId":"IP-073063","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-16-46.1","text":"Publisher Index Page"},{"id":346046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15a9e4b017cf314041ac","contributors":{"authors":[{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":711079,"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":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":711078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIntyre, Carol L.","contributorId":196673,"corporation":false,"usgs":false,"family":"McIntyre","given":"Carol","email":"","middleInitial":"L.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":711080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":711081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191062,"text":"70191062 - 2017 - Refining fault slip rates using multiple displaced terrace risers-An example from the Honey Lake fault, NE California, USA","interactions":[],"lastModifiedDate":"2021-04-27T17:56:39.374958","indexId":"70191062","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","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":"Refining fault slip rates using multiple displaced terrace risers-An example from the Honey Lake fault, NE California, USA","docAbstract":"<p><span>Faulted terrace risers are semi-planar features commonly used to constrain Quaternary slip rates along&nbsp;</span>strike-slip faults<span>. These&nbsp;landforms&nbsp;are difficult to date directly and therefore their ages are commonly bracketed by age estimates of the adjacent upper and lower terrace surfaces. However, substantial differences in the ages of the upper and lower terrace surfaces (a factor of 2.4 difference observed globally) produce large uncertainties in the slip-rate estimate. In this investigation, we explore how the full range of displacements and bounding ages from multiple faulted terrace risers can be combined to yield a more accurate fault slip rate. We use 0.25-m cell size&nbsp;digital terrain models&nbsp;derived from airborne&nbsp;lidar&nbsp;data to analyze three sites where terrace risers are offset right-laterally by the Honey Lake fault in NE California, USA. We use ages for locally extensive subhorizontal surfaces to bracket the time of riser formation: an upper surface is the bed of abandoned Lake Lahontan having an age of 15.8 ± 0.6 ka and a lower surface is a fluvial terrace abandoned at 4.7 ± 0.1 ka. We estimate lateral offsets of the risers ranging between 6.6 and 28.3 m (median values), a greater than fourfold difference in values. The amount of offset corresponds to the riser's position relative to modern stream&nbsp;meanders: the smallest offset is in a meander cutbank position, whereas the larger offsets are in straight channel or meander point-bar positions. Taken in isolation, the individual terrace-riser offsets yield slip rates ranging from 0.3 to 7.1 mm/a. However, when the offset values are collectively assessed in a probabilistic framework, we find that a uniform (linear) slip rate of 1.6 mm/a (1.4–1.9 mm/a at 95% confidence) can satisfy the data, within their respective uncertainties. This investigation demonstrates that integrating observations of multiple offset elements (crest, midpoint, and base) from numerous faulted and dated terrace risers at closely spaced sites can refine slip-rate estimates on strike-slip faults.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2017.08.021","usgsCitation":"Gold, R.D., Briggs, R.W., Crone, A.J., and DuRoss, C., 2017, Refining fault slip rates using multiple displaced terrace risers-An example from the Honey Lake fault, NE California, USA: Earth and Planetary Science Letters, v. 477, p. 134-146, https://doi.org/10.1016/j.epsl.2017.08.021.","productDescription":"13 p.","startPage":"134","endPage":"146","ipdsId":"IP-088635","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":461397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2017.08.021","text":"Publisher Index Page"},{"id":346047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Honey Lake Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.1333,\n              40.0417\n            ],\n            [\n              -120.1,\n              40.0417\n            ],\n            [\n              -120.1,\n              40.0583\n            ],\n            [\n              -120.1333,\n              40.0583\n            ],\n            [\n              -120.1333,\n              40.0417\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"477","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15aae4b017cf314041b0","contributors":{"authors":[{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":711118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191595,"text":"70191595 - 2017 - Holocene earthquakes of magnitude 7 during westward escape of the Olympic Mountains, Washington","interactions":[],"lastModifiedDate":"2020-12-21T12:54:10.400554","indexId":"70191595","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Holocene earthquakes of magnitude 7 during westward escape of the Olympic Mountains, Washington","docAbstract":"<p><span>The Lake Creek–Boundary Creek fault, previously mapped in Miocene bedrock as an oblique thrust on the north flank of the Olympic Mountains, poses a significant earthquake hazard. Mapping using 2015 light detection and ranging (lidar) confirms 2004 lidar mapping of postglacial (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>13</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>ka</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-4\" class=\"mn\">13</span><span id=\"MathJax-Span-5\" class=\"mtext\">  </span><span id=\"MathJax-Span-6\" class=\"mi\">ka</span></span></span></span></span></span></span><span>) and Holocene fault scarps along the 22‐km‐long eastern section of the fault and documents Holocene scarps that extend<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;#x2265;</mo><mn xmlns=&quot;&quot;>14</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">≥</span><span id=\"MathJax-Span-10\" class=\"mn\">14</span><span id=\"MathJax-Span-11\" class=\"mtext\">  </span><span id=\"MathJax-Span-12\" class=\"mi\">km</span></span></span></span></span></span></span><span><span>&nbsp;</span>along a splay fault, the Sadie Creek fault, west of Lake Crescent. Scarp morphology suggests repeated earthquake ruptures along the eastern section of the Lake Creek–Boundary Creek fault and the Sadie Creek fault since<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>13</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>ka</mi></math>\"><span id=\"MathJax-Span-13\" class=\"math\"><span><span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mo\">∼</span><span id=\"MathJax-Span-16\" class=\"mn\">13</span><span id=\"MathJax-Span-17\" class=\"mtext\">  </span><span id=\"MathJax-Span-18\" class=\"mi\">ka</span></span></span></span></span></span></span><span>. Right‐lateral (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>11</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>28</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi></math>\"><span id=\"MathJax-Span-19\" class=\"math\"><span><span><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mo\">∼</span><span id=\"MathJax-Span-22\" class=\"mn\">11</span><span id=\"MathJax-Span-23\" class=\"mo\">–</span><span id=\"MathJax-Span-24\" class=\"mn\">28</span><span id=\"MathJax-Span-25\" class=\"mtext\">  </span><span id=\"MathJax-Span-26\" class=\"mi\">m</span></span></span></span></span></span></span><span>) and vertical (1–2&nbsp;m) cumulative fault offsets suggest slip rates of<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>2</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>mm</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>yr</mi></math>\"><span id=\"MathJax-Span-27\" class=\"math\"><span><span><span id=\"MathJax-Span-28\" class=\"mrow\"><span id=\"MathJax-Span-29\" class=\"mo\">∼</span><span id=\"MathJax-Span-30\" class=\"mn\">1</span><span id=\"MathJax-Span-31\" class=\"mo\">–</span><span id=\"MathJax-Span-32\" class=\"mn\">2</span><span id=\"MathJax-Span-33\" class=\"mtext\">  </span><span id=\"MathJax-Span-34\" class=\"mi\">mm</span><span id=\"MathJax-Span-35\" class=\"mo\">/</span><span id=\"MathJax-Span-36\" class=\"mi\">yr</span></span></span></span></span></span></span><span>&nbsp;Stratigraphic and age‐model data from five trenches perpendicular to scarps at four sites on the eastern section of the fault show evidence of 3–5 surface‐rupturing earthquakes. Near‐vertical fault dips and upward‐branching fault patterns in trenches, abrupt changes in the thickness of stratigraphic units across faults, and variations in vertical displacement of successive stratigraphic units along fault traces also suggest a large lateral component of slip. Age models suggest two earthquakes date from<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>1.3</mn><mo xmlns=&quot;&quot;>&amp;#xB1;</mo><mn xmlns=&quot;&quot;>0.8</mn></math>\"><span id=\"MathJax-Span-37\" class=\"math\"><span><span><span id=\"MathJax-Span-38\" class=\"mrow\"><span id=\"MathJax-Span-39\" class=\"mn\">1.3</span><span id=\"MathJax-Span-40\" class=\"mo\">±</span><span id=\"MathJax-Span-41\" class=\"mn\">0.8</span></span></span></span></span></span></span><span><span>&nbsp;</span>and<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>2.9</mn><mo xmlns=&quot;&quot;>&amp;#xB1;</mo><mn xmlns=&quot;&quot;>0.6</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>ka</mi></math>\"><span id=\"MathJax-Span-42\" class=\"math\"><span><span><span id=\"MathJax-Span-43\" class=\"mrow\"><span id=\"MathJax-Span-44\" class=\"mn\">2.9</span><span id=\"MathJax-Span-45\" class=\"mo\">±</span><span id=\"MathJax-Span-46\" class=\"mn\">0.6</span><span id=\"MathJax-Span-47\" class=\"mtext\">  </span><span id=\"MathJax-Span-48\" class=\"mi\">ka</span></span></span></span></span></span></span><span>; evidence and ages for 2–3 earlier earthquakes are less certain. Assuming 3–5 postglacial earthquakes, lateral and vertical cumulative fault offsets yield average slip per earthquake of<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>4.6</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi></math>\"><span id=\"MathJax-Span-49\" class=\"math\"><span><span><span id=\"MathJax-Span-50\" class=\"mrow\"><span id=\"MathJax-Span-51\" class=\"mo\">∼</span><span id=\"MathJax-Span-52\" class=\"mn\">4.6</span><span id=\"MathJax-Span-53\" class=\"mtext\">  </span><span id=\"MathJax-Span-54\" class=\"mi\">m</span></span></span></span></span></span></span><span>, a lateral‐to‐vertical slip ratio of<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>10</mn><mo xmlns=&quot;&quot;>:</mo><mn xmlns=&quot;&quot;>1</mn></math>\"><span id=\"MathJax-Span-55\" class=\"math\"><span><span><span id=\"MathJax-Span-56\" class=\"mrow\"><span id=\"MathJax-Span-57\" class=\"mo\">∼</span><span id=\"MathJax-Span-58\" class=\"mn\">10</span><span id=\"MathJax-Span-59\" class=\"mo\">:</span><span id=\"MathJax-Span-60\" class=\"mn\">1</span></span></span></span></span></span></span><span>, and a recurrence interval of<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>3.5</mn><mo xmlns=&quot;&quot;>&amp;#xB1;</mo><mn xmlns=&quot;&quot;>1.0</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>ka</mi></math>\"><span id=\"MathJax-Span-61\" class=\"math\"><span><span><span id=\"MathJax-Span-62\" class=\"mrow\"><span id=\"MathJax-Span-63\" class=\"mn\">3.5</span><span id=\"MathJax-Span-64\" class=\"mo\">±</span><span id=\"MathJax-Span-65\" class=\"mn\">1.0</span><span id=\"MathJax-Span-66\" class=\"mtext\">  </span><span id=\"MathJax-Span-67\" class=\"mi\">ka</span></span></span></span></span></span></span><span>. Empirical relations yield moment magnitude estimates of<span>&nbsp;</span></span><i>M</i><span>&nbsp;7.2–7.5 (slip per earthquake) and 7.1–7.3 (56&nbsp;km maximum rupture length). An apparent left‐lateral Miocene to right‐lateral Holocene slip reversal on the faults is probably related to overprinting of east‐directed, accretion‐dominated deformation in the eastern core of the Olympic Mountains by north‐directed, margin‐parallel shortening and westward escape of the mountains.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160323","usgsCitation":"Nelson, A.R., Personius, S., Wells, R.E., Schermer, E.R., Bradley, L., Buck, J., and Reitman, N.G., 2017, Holocene earthquakes of magnitude 7 during westward escape of the Olympic Mountains, Washington: Bulletin of the Seismological Society of America, v. 107, no. 5, p. 2394-2415, https://doi.org/10.1785/0120160323.","productDescription":"22 p.","startPage":"2394","endPage":"2415","ipdsId":"IP-086039","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.24414062499999,\n              45.89000815866184\n            ],\n            [\n              -119.13574218749999,\n              45.89000815866184\n            ],\n            [\n              -119.13574218749999,\n              49.210420445650286\n            ],\n            [\n              -125.24414062499999,\n              49.210420445650286\n            ],\n            [\n              -125.24414062499999,\n              45.89000815866184\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"5afee7f7e4b0da30c1bfc3bd","contributors":{"authors":[{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":149772,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":712829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schermer, Elizabeth R.","contributorId":184060,"corporation":false,"usgs":false,"family":"Schermer","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":712831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buck, Jason","contributorId":197191,"corporation":false,"usgs":false,"family":"Buck","given":"Jason","email":"","affiliations":[],"preferred":false,"id":712832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712833,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191048,"text":"70191048 - 2017 - Local adaptation in Trinidadian guppies alters stream ecosystem structure at landscape scales despite high environmental variability","interactions":[],"lastModifiedDate":"2017-09-25T12:01:36","indexId":"70191048","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Local adaptation in Trinidadian guppies alters stream ecosystem structure at landscape scales despite high environmental variability","docAbstract":"<p><span>While previous studies have shown that evolutionary divergence alters ecological processes in small-scale experiments, a major challenge is to assess whether such evolutionary effects are important in natural ecosystems at larger spatial scales. At the landscape scale, across eight streams in the Caroni drainage, we found that the presence of locally adapted populations of guppies (</span><i>Poecilia reticulata</i><span>) is associated with reduced algal biomass and increased invertebrate biomass, while the opposite trends were true in streams with experimentally introduced populations of non-locally adapted guppies. Exclusion experiments conducted in two separate reaches of a single stream showed that guppies with locally adapted phenotypes significantly reduced algae with no effect on invertebrates, while non-adapted guppies had no effect on algae but significantly reduced invertebrates. These divergent effects of phenotype on stream ecosystems are comparable in strength to the effects of abiotic factors (e.g., light) known to be important drivers of ecosystem condition. They also corroborate the results of previous experiments conducted in artificial streams. Our results demonstrate that local adaptation can produce phenotypes with significantly different effects in natural ecosystems at a landscape scale, within a tropical watershed, despite high variability in abiotic factors: five of the seven physical and chemical parameters measured across the eight study streams varied by more than one order of magnitude. Our findings suggest that ecosystem structure is, in part, an evolutionary product and not simply an ecological pattern.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-16-517","usgsCitation":"Simon, T.N., Bassar, R.D., Binderup, A.J., Flecker, A.S., Freeman, M., Gill, J.F., Marshall, M.C., Thomas, S.A., Travis, J., Reznick, D.N., and Pringle, C.M., 2017, Local adaptation in Trinidadian guppies alters stream ecosystem structure at landscape scales despite high environmental variability: Copeia, v. 105, no. 3, p. 504-513, https://doi.org/10.1643/CE-16-517.","productDescription":"10 p.","startPage":"504","endPage":"513","ipdsId":"IP-084421","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":346050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Trinidad","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -61.59484863281249,\n              10.510766951875397\n            ],\n            [\n              -60.99472045898437,\n              10.510766951875397\n            ],\n            [\n              -60.99472045898437,\n              10.873767739353797\n            ],\n            [\n              -61.59484863281249,\n              10.873767739353797\n            ],\n            [\n              -61.59484863281249,\n              10.510766951875397\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-12","publicationStatus":"PW","scienceBaseUri":"59ca15abe4b017cf314041b7","contributors":{"authors":[{"text":"Simon, Troy N.","contributorId":196661,"corporation":false,"usgs":false,"family":"Simon","given":"Troy","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":711047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bassar, Ronald D.","contributorId":150154,"corporation":false,"usgs":false,"family":"Bassar","given":"Ronald","email":"","middleInitial":"D.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":711048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binderup, Andrew J.","contributorId":196662,"corporation":false,"usgs":false,"family":"Binderup","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flecker, Alex S.","contributorId":196663,"corporation":false,"usgs":false,"family":"Flecker","given":"Alex","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":711050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gill, James F.","contributorId":196664,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":711051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marshall, Michael C.","contributorId":196665,"corporation":false,"usgs":false,"family":"Marshall","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomas, Steve A.","contributorId":196666,"corporation":false,"usgs":false,"family":"Thomas","given":"Steve","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711053,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Travis, Joseph","contributorId":196667,"corporation":false,"usgs":false,"family":"Travis","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":711054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reznick, David N.","contributorId":196668,"corporation":false,"usgs":false,"family":"Reznick","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":711055,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pringle, Catherine M.","contributorId":176292,"corporation":false,"usgs":false,"family":"Pringle","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711056,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70191087,"text":"70191087 - 2017 - Semipermanent GPS (SPGPS) as a volcano monitoring tool: Rationale, method, and applications","interactions":[],"lastModifiedDate":"2017-09-25T13:35:49","indexId":"70191087","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Semipermanent GPS (SPGPS) as a volcano monitoring tool: Rationale, method, and applications","docAbstract":"<p><span>Semipermanent GPS (SPGPS) is an alternative to conventional campaign or survey-mode GPS (SGPS) and to continuous GPS (CGPS) that offers several advantages for monitoring ground deformation. Unlike CGPS installations, SPGPS stations can be deployed quickly in response to changing volcanic conditions or earthquake activity such as a swarm or aftershock sequence. SPGPS networks can be more focused or more extensive than CGPS installations, because SPGPS equipment can be moved from station to station quickly to increase the total number of stations observed in a given time period. SPGPS networks are less intrusive on the landscape than CGPS installations, which makes it easier to satisfy land-use restrictions in ecologically sensitive areas. SPGPS observations are preferred over SGPS measurements because they provide better precision with only a modest increase in the amount of time, equipment, and personnel required in the field. We describe three applications of the SPGPS method that demonstrate its utility and flexibility. At the Yellowstone caldera, Wyoming, a 9-station SPGPS network serves to densify larger preexisting networks of CGPS and SGPS stations. At the Three Sisters volcanic center, Oregon, a 14-station SPGPS network complements an SGPS network and extends the geographic coverage provided by 3 CGPS stations permitted under wilderness land-use restrictions. In the Basin and Range province in northwest Nevada, a 6-station SPGPS network has been established in response to a prolonged earthquake swarm in an area with only sparse preexisting geodetic coverage. At Three Sisters, the estimated precision of station velocities based on annual ~</span><span>&nbsp;</span><span>3</span><span>&nbsp;</span><span>month summertime SPGPS occupations from 2009 to 2015 is approximately half that for nearby CGPS stations. Conversely, SPGPS-derived station velocities are about twice as precise as those based on annual ~</span><span>&nbsp;</span><span>1</span><span>&nbsp;</span><span>week SGPS measurements. After 5</span><span>&nbsp;</span><span>years of SPGPS observations at Three Sisters, the precision of velocity determinations is estimated to be 0.5</span><span>&nbsp;</span><span>mm/yr in longitude, 0.6</span><span>&nbsp;</span><span>mm/yr in latitude, and 0.8</span><span>&nbsp;</span><span>mm/yr in height. We conclude that an optimal approach to monitoring volcano deformation includes complementary CGPS and SPGPS networks, periodic InSAR observations, and measurements from in situ borehole sensors such as tiltmeters or strainmeters. This comprehensive approach provides the spatial and temporal detail necessary to adequately characterize a complex and evolving deformation pattern. Such information is essential to multi-parameter models of magmatic or tectonic processes that can help to guide research efforts, and also to inform hazards assessments and land-use planning decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.03.007","usgsCitation":"Dzurisin, D., Lisowski, M., and Wicks, C., 2017, Semipermanent GPS (SPGPS) as a volcano monitoring tool: Rationale, method, and applications: Journal of Volcanology and Geothermal Research, v. 344, p. 40-51, https://doi.org/10.1016/j.jvolgeores.2017.03.007.","productDescription":"12 p.","startPage":"40","endPage":"51","ipdsId":"IP-076627","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.03.007","text":"Publisher Index Page"},{"id":346057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"344","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15a5e4b017cf31404197","contributors":{"authors":[{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisowski, Michael 0000-0003-4818-2504 mlisowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4818-2504","contributorId":637,"corporation":false,"usgs":true,"family":"Lisowski","given":"Michael","email":"mlisowski@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":711126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":711127,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190192,"text":"ofr20171107 - 2017 - National assessment of shoreline change—Summary statistics for updated vector shorelines and associated shoreline change data for the north coast of Alaska, U.S.-Canadian Border to Icy Cape","interactions":[],"lastModifiedDate":"2017-10-20T10:50:53","indexId":"ofr20171107","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","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":"2017-1107","title":"National assessment of shoreline change—Summary statistics for updated vector shorelines and associated shoreline change data for the north coast of Alaska, U.S.-Canadian Border to Icy Cape","docAbstract":"<div>Long-term rates of shoreline change for the north coast of Alaska, from the U.S.-Canadian border to the Icy Cape region of northern Alaska, have been updated as part of the U.S. Geological Survey’s National Assessment of Shoreline Change Project. Short-term shoreline change rates are reported for the first time. Additional shoreline position data were used to compute rates where the previous rate-of-change assessment only included two shoreline positions at a given location. The calculation of uncertainty associated with the long-term average rates has also been updated to match refined methods used in other study regions of the National Assessment of Shoreline Change Project. The average rates of this report have a reduced amount of uncertainty compared to those presented in the first assessment for this region.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171107","usgsCitation":"Gibbs, A.E., and Richmond, B.M., 2017, National assessment of shoreline change—Summary statistics for updated vector shorelines and associated shoreline change data for the north coast of Alaska, U.S.-Canadian border to Icy Cape: U.S. Geological Survey Open-File Report 2017–1107, 21 p., https://doi.org/10.3133/ofr20171107.","productDescription":"Report: v, 21 p.; Data release","numberOfPages":"21","onlineOnly":"Y","ipdsId":"IP-079159","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345973,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72Z13N1","linkHelpText":"National Assessment of Shoreline Change: A GIS compilation of updated vector shorelines and associated shoreline change data for the north coast of Alaska, U.S.-Canadian border to Icy Cape"},{"id":345971,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1107/ofr2017-1107.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1107"},{"id":345970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1107/coverthb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.16894531249997,\n              67.80924450600011\n            ],\n            [\n              -139.9658203125,\n              67.7760253890732\n            ],\n            [\n              -139.9658203125,\n              73.41588526207096\n            ],\n            [\n              -163.037109375,\n              73.39078083741343\n            ],\n            [\n              -163.16894531249997,\n              67.80924450600011\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" data-mce-href=\"https://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Director</a>,&nbsp;<br><a href=\"https://walrus.wr.usgs.gov/\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>Pacific Science Center&nbsp;<br>2885 Mission St.&nbsp;<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Shoreline Data<br></li><li>Calculation and Interpretation of Shoreline Change Rates<br></li><li>Results from Analysis of Historical Shoreline Change<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-09-25","noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"59ca15afe4b017cf314041cd","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191035,"text":"70191035 - 2017 - Camera traps reveal an apparent mutualism between a common mesocarnivore and an endangered ungulate","interactions":[],"lastModifiedDate":"2017-09-25T12:07:37","indexId":"70191035","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Camera traps reveal an apparent mutualism between a common mesocarnivore and an endangered ungulate","docAbstract":"<p>Camera traps are commonly used to study mammal ecology and they occasionally capture previously undocumented species interactions. The key deer (Odocoileus virginianus clavium) is an endangered endemic subspecies of the Florida Keys, where it exists with few predators. We obtained a camera trap sequence of 80 photos in which a key deer interacted with two northern raccoons (Procyon lotor). One of the raccoons groomed the deer’s face for ∼1 min. This interaction is peculiar and appears mutualistic because the deer was not concerned and willingly remained still throughout the physical contact. Although mutualistic relationships between deer and birds are common, we are unaware of any previously documented mesocarnivore-deer mutualisms. Key deer have evolved in the absence of mammalian predators and we hypothesize that they exhibit reduced vigilance or concern when encountering other species because of predator naivety. Key deer and raccoons are commonly associated with humans and urbanization and an alternative hypothesis is that the interactions are a consequence of heightened deer density, causing a greater probability of sustained interactions with the common mesocarnivores.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.mambio.2017.08.007","usgsCitation":"Cove, M., Maurer, A.S., and O’Connell, A.F., 2017, Camera traps reveal an apparent mutualism between a common mesocarnivore and an endangered ungulate: Mammalian Biology, v. 87, p. 143-145, https://doi.org/10.1016/j.mambio.2017.08.007.","productDescription":"3 p.","startPage":"143","endPage":"145","ipdsId":"IP-090449","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":346052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15ace4b017cf314041bd","contributors":{"authors":[{"text":"Cove, Michael V.","contributorId":176507,"corporation":false,"usgs":false,"family":"Cove","given":"Michael V.","affiliations":[],"preferred":false,"id":711034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maurer, Andrew S.","contributorId":176508,"corporation":false,"usgs":false,"family":"Maurer","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":711035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191073,"text":"70191073 - 2017 - Biogeographical variation of plumage coloration in the sexually dichromatic Hawai‘i ‘Amakihi (Chlorodrepanis virens)","interactions":[],"lastModifiedDate":"2018-01-04T08:25:29","indexId":"70191073","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biogeographical variation of plumage coloration in the sexually dichromatic Hawai‘i ‘Amakihi (<i>Chlorodrepanis virens</i>)","title":"Biogeographical variation of plumage coloration in the sexually dichromatic Hawai‘i ‘Amakihi (Chlorodrepanis virens)","docAbstract":"<p><span>Plumage coloration in birds can be of major importance to mate selection, social signaling, or predator avoidance. Variations in plumage coloration related to sex, age class, or seasons have been widely studied, but the effect of other factors such as climate is less known. In this study, we examine how carotenoid-based plumage coloration and sexual dichromatism of the Hawai‘i ‘Amakihi (</span><i class=\"EmphasisTypeItalic \">Chlorodrepanis virens</i><span>) varies with rainfall and temperature on Hawai‘i Island. We also examined whether Hawai‘i ‘Amakihi plumage coloration patterns follow Gloger’s rule, which states that animals in wetter climates have darker coloration. Hawai‘i ‘Amakihi were mist-netted and banded at 12 sites representing six major climatic zones on Hawai‘i Island. Feather samples were collected from two body regions: the breast and rump. Using spectrophotometry, we recorded coloration using measures of hue, saturation, and brightness. We conducted sex determination by polymerase chain reaction to confirm the sex of birds sampled. We found that the plumage coloration of Hawai‘i ‘Amakihi varied with both temperature and rainfall. ‘Amakihi plumage’s brightness showed a quadratic relationship with rainfall, contrary to Gloger’s rule, and decreased with temperature. Saturation depended on the interaction between temperature and rainfall. Increases in rainfall also increased saturation in warm areas, while they reduced saturation when the temperature was low. Finally, we found chromatic differences among sexes, but sexual dichromatism was not affected by the climatic conditions. This study provides evidence that rainfall and temperature play an important role in determining the plumage traits of Hawai‘i ‘Amakihi.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10336-017-1453-8","usgsCitation":"Gaudioso-Levita, J.M., Hart, P.J., Lapointe, D., Veillet, A., and Sebastian-Gonzalez, E., 2017, Biogeographical variation of plumage coloration in the sexually dichromatic Hawai‘i ‘Amakihi (Chlorodrepanis virens): Journal of Ornithology, v. 158, no. 4, p. 955-964, https://doi.org/10.1007/s10336-017-1453-8.","productDescription":"10 p.","startPage":"955","endPage":"964","ipdsId":"IP-079980","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":346045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"59ca15a8e4b017cf314041a8","contributors":{"authors":[{"text":"Gaudioso-Levita, Jacqueline M.","contributorId":173531,"corporation":false,"usgs":false,"family":"Gaudioso-Levita","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":711086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":711084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veillet, Anne","contributorId":196674,"corporation":false,"usgs":false,"family":"Veillet","given":"Anne","email":"","affiliations":[],"preferred":false,"id":711087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sebastian-Gonzalez, Esther","contributorId":196675,"corporation":false,"usgs":false,"family":"Sebastian-Gonzalez","given":"Esther","affiliations":[],"preferred":false,"id":711088,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191046,"text":"70191046 - 2017 - Using models to identify the best data: An example from northern Wisconsin","interactions":[],"lastModifiedDate":"2017-09-25T12:05:34","indexId":"70191046","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Using models to identify the best data: An example from northern Wisconsin","docAbstract":"<p><span>Linear-based data-worth analysis is an efficient and straightforward method for identifying the most important data for model forecasts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12561","usgsCitation":"Leaf, A.T., 2017, Using models to identify the best data: An example from northern Wisconsin: Groundwater, v. 55, no. 5, p. 641-645, https://doi.org/10.1111/gwat.12561.","productDescription":"5 p.","startPage":"641","endPage":"645","ipdsId":"IP-087331","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":346051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.00387573242188,\n              46.29761098988109\n            ],\n            [\n              -90.4119873046875,\n              46.29761098988109\n            ],\n            [\n              -90.4119873046875,\n              46.68995749641134\n            ],\n            [\n              -91.00387573242188,\n              46.68995749641134\n            ],\n            [\n              -91.00387573242188,\n              46.29761098988109\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-17","publicationStatus":"PW","scienceBaseUri":"59ca15ace4b017cf314041ba","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","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":711043,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190108,"text":"sim3385 - 2017 - Concentration and trend of 1,4-dioxane in wells sampled during 2002–2017 in the vicinity of the Tucson International Airport Area Superfund Site, Arizona","interactions":[],"lastModifiedDate":"2017-12-14T16:17:26","indexId":"sim3385","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","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":"3385","title":"Concentration and trend of 1,4-dioxane in wells sampled during 2002–2017 in the vicinity of the Tucson International Airport Area Superfund Site, Arizona","docAbstract":"<p>Industrial activities causing extensive groundwater contamination led to the listing of the Tucson International Airport Area (TIAA) as a Superfund Site in 1983. Early groundwater investigations identified volatile organic compounds (VOCs), including the chlorinated solvents trichloroethylene (TCE) and perchloroethylene (PCE), in wells in the area. Several responsible parties were identified and cleanup activities began in the late 1980s. In 2002, the compound 1,4-dioxane was discovered in wells in the area and has since been detected in measurable concentrations throughout the site. The U.S. Environmental Protection Agency (USEPA) classifies 1,4-dioxane as a likely human carcinogen.</p><p>The purpose of this map is to present 1,4-dioxane concentrations in wells sampled from 2002 through mid-2017 in the TIAA Superfund Site area to indicate both the current status and trends in 1,4-dioxane groundwater contamination. This map includes data from wells in the commercial and residential community in the TIAA and does not include data from wells in suspected or confirmed source areas, such as Air Force Plant 44 and Tucson International Airport, or from wells within treatment facilities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3385","collaboration":"Prepared in cooperation with the U.S. Air Force Civil Engineer Center","usgsCitation":"Tillman, Fred, 2017, Concentration and trend of 1,4-dioxane in wells sampled during 2002–2017 in the vicinity of the Tucson International Airport Area Superfund Site: U.S. Geological Survey Scientific Investigations Map 3385, scale 1:7,500, 1 sheet, https://doi.org/10.3133/sim3385.","productDescription":"Map: 30 x 40 inches; Appendix A","onlineOnly":"N","ipdsId":"IP-087761","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":345617,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3385/sim3385_appendixA.xlsx","text":"Appendix A","size":"128 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3385"},{"id":345615,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3385/sim.3385.pdf","text":"Map","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3385"},{"id":345614,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3385/coverthb_.jpg"}],"country":"United States","state":"Arizona","city":"Tucson","otherGeospatial":"Tucson International Airport Area Superfund Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.236572265625,\n              31.813396010784928\n            ],\n            [\n              -110.71197509765624,\n              31.813396010784928\n            ],\n            [\n              -110.71197509765624,\n              32.127942397192314\n            ],\n            [\n              -111.236572265625,\n              32.127942397192314\n            ],\n            [\n              -111.236572265625,\n              31.813396010784928\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://az.water.usgs.gov/about/employeedirbyabc.html\" target=\"_blank\" data-mce-href=\"https://az.water.usgs.gov/about/employeedirbyabc.html\">Director</a>,<br><a href=\"http://az.water.usgs.gov/\" data-mce-href=\"http://az.water.usgs.gov/\" target=\"_blank\">Arizona Water Science Center<br></a><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\" target=\"_blank\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719<br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-09-25","noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"59ca15afe4b017cf314041c9","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":707515,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190154,"text":"fs20173060 - 2017 - Assessment of continuous oil and gas resources in the Middle and Upper Magdalena Basins, Colombia, 2017","interactions":[],"lastModifiedDate":"2017-09-25T11:05:29","indexId":"fs20173060","displayToPublicDate":"2017-09-22T18:30:00","publicationYear":"2017","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":"2017-3060","title":"Assessment of continuous oil and gas resources in the Middle and Upper Magdalena Basins, Colombia, 2017","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources of 0.45 billion barrels of oil and 1.0 trillion cubic feet of gas in the Middle and Upper Magdalena Basins, Colombia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173060","usgsCitation":"Schenk, C.J., Brownfield, M.E., Tennyson, M.E., Le, P.A., Mercier, T.J., Finn, T.M., Hawkins, S.J., Gaswirth, S.B., Marra, K.R., Klett, T.R., Leathers-Miller, H.M., and Woodall, C.A., 2017, Assessment of continuous oil and gas resources in the Middle and Upper Magdalena Basins, Colombia, 2017: U.S. Geological Survey Fact Sheet 2017–3060, 2 p., https://doi.org/10.3133/fs20173060.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-087769","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":346024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3060/fs20173060.pdf ","text":"Report","size":"2.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3060"},{"id":346025,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173011","text":"Fact Sheet 2017–3011: ","linkHelpText":"Assessment of Continuous Oil and Gas Resources of the Maracaibo Basin Province of Venezuela and Colombia, 2016"},{"id":346023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3060/coverthb.jpg"}],"country":"Columbia","otherGeospatial":"Middle and Upper Magdalena Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76,\n              2\n            ],\n            [\n              -72,\n              2\n            ],\n            [\n              -72,\n              9\n            ],\n            [\n              -76,\n              9\n            ],\n            [\n              -76,\n              2\n            ]\n          ]\n        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,{"id":70190274,"text":"ofr20171110 - 2017 - Low-flow characteristics of streams in South Carolina","interactions":[],"lastModifiedDate":"2017-09-25T11:16:46","indexId":"ofr20171110","displayToPublicDate":"2017-09-22T15:30:00","publicationYear":"2017","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":"2017-1110","title":"Low-flow characteristics of streams in South Carolina","docAbstract":"<p>An ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina is important for the protection and preservation of the State’s water resources. Information concerning the low-flow characteristics of streams is especially important during critical flow periods, such as during the historic droughts that South Carolina has experienced in the past few decades.</p><p>Between 2008 and 2016, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, updated low-flow statistics at 106 continuous-record streamgages operated by the U.S. Geological Survey for the eight major river basins in South Carolina. The low-flow frequency statistics included the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day mean flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamflow-gaging station. Computations of daily mean flow durations for the 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance also were included.</p><p>This report summarizes the findings from publications generated during the 2008 to 2016 investigations. Trend analyses for the annual minimum 7-day average flows are provided as well as trend assessments of long-term annual precipitation data. Statewide variability in the annual minimum 7-day average flow is assessed at eight long-term (record lengths from 55 to 78 years) streamgages. If previous low-flow statistics were available, comparisons with the updated annual minimum 7-day average flow, having a 10-year recurrence interval, were made. 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Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br> U.S. Geological Survey<br> 720 Gracern Road<br> Stephenson Center, Suite 129<br> Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Low-Flow Characteristics</li><li>Statistical Analysis of Trends in Annual Minimum 7-Day Average Flows&nbsp;and Precipitation Data&nbsp;</li><li>Flow Variability</li><li>Comparison With Previously Published Low-Flow Statistics</li><li>Estimates of Low-flow Statistics at Ungaged Sites&nbsp;</li><li>Summary</li><li>Selected References</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-09-22","noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"59c6211be4b017cf313e74b5","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":195395,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby","email":"tfeaster@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":708236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711038,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219137,"text":"70219137 - 2017 - Organic petrology and micro-spectroscopy of Tasmanites microfossils: Applications to kerogen transformations in the early oil window","interactions":[],"lastModifiedDate":"2021-03-26T21:20:15.4869","indexId":"70219137","displayToPublicDate":"2017-09-21T08:04:23","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Organic petrology and micro-spectroscopy of Tasmanites microfossils: Applications to kerogen transformations in the early oil window","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">The transformation of kerogen to hydrocarbons in the early stages of oil generation is critical for understanding the resource potential of liquid-rich shale plays. Organic petrology commonly is used for visual evaluation of type, quality, and thermal maturity of organic matter, but the relationship of visual petrographic changes to chemical transformations is not well characterized. To improve understanding of these processes, organic-walled microfossils of the unicellular green alga<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>(composed of algaenan) in Upper Devonian Ohio Shale (Huron Member, Appalachian Basin) were analyzed by micro-spectroscopy techniques including micro-Fourier transform infrared (micro-FTIR), X-ray photoelectron (XPS), electron probe microanalysis (EPMA), and fluorescence. Immature to mid-oil window maturation sequences of core and outcrop samples with solid bitumen reflectance (BR) and vitrinite reflectance (VR) values ranging from 0.45 to 0.80&nbsp;%Ro were used. Hydrous pyrolysis was applied to low-maturity (BR: 0.25–0.39&nbsp;%Ro) Huron and time-correlative New Albany shale samples to create similar artificial maturation sequences for comparison. Micro-FTIR spectroscopy revealed a decrease in the CH<sub>2</sub>/CH<sub>3</sub><span>&nbsp;</span>ratio with increasing maturity, indicating<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>aliphatic chains become shorter and more branched. Oxygenated functional groups decreased relative to aliphatic stretching bands and increased aromaticity was noted at the highest maturities. In samples that were pyrolyzed for 72&nbsp;h at temperatures of 300–320&nbsp;°C (BR: 0.56–0.68&nbsp;%Ro),<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>showed similar trends, whereas at pyrolysis temperatures of 340&nbsp;°C and higher (BR&nbsp;&gt;&nbsp;1.0&nbsp;%Ro),<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>was pseudomorphed by accumulations of solid bitumen, carbonate and sulfide. Replacement of<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>by these phases in hydrous pyrolysis experiments ≥340&nbsp;°C and its absence at higher maturities (peak oil, VR and BR&nbsp;≥&nbsp;0.9&nbsp;%Ro) in naturally matured samples, as documented in a previous study, implies that a large fraction of the algaenan component of original organic carbon is converted to petroleum during thermal maturation. XPS analysis indicated the molar proportion of aliphatic carbon increases with increasing thermal maturity, accompanied by decreases in oxygenated functional groups and olefinic carbon. EPMA of<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>showed highest concentrations of S, with concentrations of redox-sensitive trace elements U, Mo, Ni and V generally at or below detection limits. Decrease in organic S with increasing thermal maturity may be related to cleavage of<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>at C<img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">S linkages; however, this relationship was inconsistent and presence of adjacent or entrained nanoscale silicate or sulfide phases may impact measured trace element concentrations. Fluorescence microscopy and spectroscopy showed a red shift in spectral maxima and decreased emission intensities with increasing maturity, interpreted as due to non-radiative energy loss possibly because of increased aromaticity. Collectively, these results provide new insights into the in situ chemical transformations that accompany petrographic changes as oil-prone kerogen converts to petroleum with thermal advance from immature conditions into the mid-oil window.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2017.09.002","usgsCitation":"Hackley, P.C., Walters, C.C., Kelemen, S., Mastalerz, M., and Lowers, H.A., 2017, Organic petrology and micro-spectroscopy of Tasmanites microfossils: Applications to kerogen transformations in the early oil window: Organic Geochemistry, v. 114, p. 23-44, https://doi.org/10.1016/j.orggeochem.2017.09.002.","productDescription":"22 p.","startPage":"23","endPage":"44","ipdsId":"IP-084314","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":469504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.orggeochem.2017.09.002","text":"Publisher Index Page"},{"id":384666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Clifford C.","contributorId":256653,"corporation":false,"usgs":false,"family":"Walters","given":"Clifford","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":812955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelemen, S.R.","contributorId":47066,"corporation":false,"usgs":true,"family":"Kelemen","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":812956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastalerz, Maria","contributorId":105788,"corporation":false,"usgs":false,"family":"Mastalerz","given":"Maria","affiliations":[{"id":17608,"text":"Indiana Univesity","active":true,"usgs":false}],"preferred":false,"id":812957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":812958,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191018,"text":"70191018 - 2017 - Do you hear what I see? Vocalization relative to visual detection rates of Hawaiian hoary bats (Lasiurus cinereus semotus)","interactions":[],"lastModifiedDate":"2018-01-04T08:28:18","indexId":"70191018","displayToPublicDate":"2017-09-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Do you hear what I see? Vocalization relative to visual detection rates of Hawaiian hoary bats (<i>Lasiurus cinereus semotus</i>)","title":"Do you hear what I see? Vocalization relative to visual detection rates of Hawaiian hoary bats (Lasiurus cinereus semotus)","docAbstract":"<p>B<span>ats vocalize during flight as part of the sensory modality called echolocation, but very little is known about whether flying bats consistently call. Occasional vocal silence during flight when bats approach prey or conspecifics has been documented for relatively few species and situations. Bats flying alone in clutter-free airspace are not known to forgo vocalization, yet prior observations suggested possible silent behavior in certain, unexpected situations. Determining when, why, and where silent behavior occurs in bats will help evaluate major assumptions of a primary monitoring method for bats used in ecological research, management, and conservation. In this study, we recorded flight activity of Hawaiian hoary bats (</span><i>Lasiurus cinereus semotus</i><span>) under seminatural conditions using both thermal video cameras and acoustic detectors. Simultaneous video and audio recordings from 20 nights of observation at 10 sites were analyzed for correspondence between detection methods, with a focus on video observations in three distance categories for which accompanying vocalizations were detected. Comparison of video and audio detections revealed that a high proportion of Hawaiian hoary bats “seen” on video were not simultaneously “heard.” On average, only about one in three visual detections within a night had an accompanying call detection, but this varied greatly among nights. Bats flying on curved flight paths and individuals nearer the cameras were more likely to be detected by both methods. Feeding and social calls were detected, but no clear pattern emerged from the small number of observations involving closely interacting bats. These results may indicate that flying Hawaiian hoary bats often forgo echolocation, or do not always vocalize in a way that is detectable with common sampling and monitoring methods. Possible reasons for the low correspondence between visual and acoustic detections range from methodological to biological and include a number of biases associated with the propagation and detection of sound, cryptic foraging strategies, or conspecific presence. Silent flight behavior may be more prevalent in echolocating bats than previously appreciated, has profound implications for ecological research, and deserves further characterization and study.</span><br></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3196","usgsCitation":"Gorresen, P., Cryan, P.M., Montoya-Aiona, K., and Bonaccorso, F., 2017, Do you hear what I see? Vocalization relative to visual detection rates of Hawaiian hoary bats (Lasiurus cinereus semotus): Ecology and Evolution, v. 7, no. 17, p. 6669-6679, https://doi.org/10.1002/ece3.3196.","productDescription":"11 p.","startPage":"6669","endPage":"6679","ipdsId":"IP-084067","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3196","text":"Publisher Index Page"},{"id":345991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","volume":"7","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"59c4cf96e4b017cf313d3caf","contributors":{"authors":[{"text":"Gorresen, P. Marcos 0000-0002-0707-9212","orcid":"https://orcid.org/0000-0002-0707-9212","contributorId":196628,"corporation":false,"usgs":false,"family":"Gorresen","given":"P. Marcos","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":710950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":710952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":710951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonaccorso, Frank 0000-0002-5490-3083 fbonaccorso@usgs.gov","orcid":"https://orcid.org/0000-0002-5490-3083","contributorId":143709,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank","email":"fbonaccorso@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":710949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}