{"pageNumber":"44","pageRowStart":"1075","pageSize":"25","recordCount":36988,"records":[{"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":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","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":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":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":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. In addition, methods for estimating low-flow statistics at ungaged locations near a gaged location are described.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171110","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T.D., and Guimaraes, W.B., 2017, Low-flow characteristics of streams in South Carolina: U.S. Geological Survey Open-File Report 2017–1110, 161 p., https://doi.org/10.3133/ofr20171110.","productDescription":"vi, 161 p.","numberOfPages":"172","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084824","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":346012,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1110/ofr20171110.pdf","text":"Report","size":"8.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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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":70190788,"text":"ofr20171116 - 2017 - Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15","interactions":[],"lastModifiedDate":"2024-12-27T15:18:20.876985","indexId":"ofr20171116","displayToPublicDate":"2017-09-18T11:00:00","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":"2017-1116","title":"Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15","docAbstract":"<h1>Introduction</h1><p>Hurricane Sandy, which made landfall on October 29, 2012, near Atlantic City, New Jersey, had a significant impact on the coastal system along the south shore of Long Island, New York. A record significant wave height of 9.6 meters (m) was measured at <a href=\"http://www.ndbc.noaa.gov/station_page.php?station=44025\" data-mce-href=\"http://www.ndbc.noaa.gov/station_page.php?station=44025\">wave buoy 44025</a>, approximately 48 kilometers offshore of Fire Island, New York. Surge and runup during the storm resulted in extensive beach and dune erosion and breaching of the Fire Island barrier island system at two locations, including a breach that formed within the Otis Pike Fire Island High Dune Wilderness area on the eastern side of Fire Island.</p><p>The U.S. Geological Survey (USGS) has a long history of conducting morphologic change and processes research at Fire Island. One of the primary objectives of the current research effort is to understand the morphologic evolution of the barrier system on a variety of time scales (from storm scale to decade(s) to century). A number of studies that support the project objectives have been published. Prior to Hurricane Sandy, however, little information was available on specific storm-driven change in this region. The USGS received Hurricane Sandy supplemental funding (project GS2–2B: Linking Coastal Processes and Vulnerability, Fire Island, New York, Regional Study) to enhance existing research efforts at Fire Island. The existing research was greatly expanded to include inner continental shelf mapping and investigations of processes of inner shelf sediment transport; beach and dune response and recovery; and observation, analysis, and modeling of the newly formed breach in the Otis Pike High Dune Wilderness area, herein referred to as the wilderness breach. The breach formed at the site of Old Inlet, which was open from 1763 to 1825. The location of the initial island breaching does not directly correspond with topographic lows of the dunes, but instead the breach formed in the location of a cross-island boardwalk that was destroyed during Hurricane Sandy.</p><p>From 2013 to November 2015, bathymetric data were collected by the USGS St. Petersburg Coastal and Marine Science Center during three surveys of the breach channel and tidal shoals, and shoreline positions on each side of the breach (also collected by the National Park Service). Additionally, pre-storm topography/bathymetry EAARL–B light detection and ranging (lidar) data were collected by the USGS the day prior to Hurricane Sandy’s landfall. These data serve as a baseline for change analyses during four subsequent periods: June 2013, June 2014, October 2014, and May 2015. The June 2013 single-beam bathymetry data were collected in collaboration with the U.S. Army Corps of Engineers (USACE), using the Lighter Amphibious Resupply Cargo (LARC) vessel, and included the ebb shoal and breach channel. The USGS collected and processed the three additional bathymetric datasets using personal watercraft equipped with single-beam echo sounders and backpack Global Positioning System (GPS) over shallow flood shoals.</p><p>Eastern and western breach shorelines were surveyed weekly to monthly beginning on November 6, 2012 (by the National Park Service [NPS], and USGS St. Petersburg Coastal and Marine Science Center), with measurements made every few weeks for the first year and every few months after October 2013. The NPS and researchers from Stony Brook University monitored the breach by collecting field data of the breach channel bathymetry, conducting aerial photographic overflights, and performing water-quality analyses (see <a href=\"http://po.msrc.sunysb.edu/GSB/\" data-mce-href=\"http://po.msrc.sunysb.edu/GSB/\">http://po.msrc.sunysb.edu/GSB/</a>). The aerial photography collected and rectified by Stony Brook University is used extensively in our morphologic change description to examine changes to breach shorelines (supplementing shoreline data collected in the field), channel width, and orientation. Due to the uncertainties and the variation in survey methods, a rigorous quantitative analysis was not performed. However, average calculations of various breach metrics allow a qualitative analysis of breach development and evolution.</p><p>This report presents an overview of the data collected and a summary discussion of the observed changes to the breach system and the seasonal wave climatology associated with the breach morphodynamic response.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171116","usgsCitation":"Hapke, C.J., Nelson, T.R., Henderson, R.E., Brenner, O.T., and Miselis, J.L., 2017, Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15: U.S. Geological Survey Open-File Report 2017–1116, 17 p., https://doi.org/10.3133/ofr20171116.","productDescription":"Report: vi, 17 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-086286","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345809,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1049","text":"Data Series 1049","description":"Data Series 1049","linkHelpText":"- Coastal bathymetry data collected in May 2015 from Fire Island, New York—Wilderness breach and shoreface"},{"id":345808,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1034","text":"Data Series 1034","description":"Data Series 1034","linkHelpText":"Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay"},{"id":345810,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1007","text":"Data Series 1007","description":"Data Series 1007","linkHelpText":"- Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface"},{"id":345750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1116/coverthb.jpg"},{"id":345805,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1116/ofr20171116.pdf","text":"Report","size":"21.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1116"},{"id":345806,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds914","text":"Data Series 914","description":"Data Series 914","linkHelpText":"- Bathymetry of Wilderness Breach at Fire Island, New York from June 2013"},{"id":345807,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G15Z17","text":"USGS data release","description":"USGS data release","linkHelpText":"Hurricane Sandy Beach Response and Recovery at Fire Island, New York—Shoreline and Beach Profile Data, October 2012 to June 2016"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.32000732421875,\n              40.6113461833302\n            ],\n            [\n              -72.87574768066406,\n              40.6113461833302\n            ],\n            [\n              -72.87574768066406,\n              40.73581157695217\n            ],\n            [\n              -73.32000732421875,\n              40.73581157695217\n            ],\n            [\n              -73.32000732421875,\n              40.6113461833302\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://coastal.er.usgs.gov/\" data-mce-href=\"http://coastal.er.usgs.gov/\">St. Petersburg Coastal and Marine 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</li><li>Methods</li><li>Results</li><li>Discussion and Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-09-18","noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","scienceBaseUri":"59c0db1ae4b091459a5f471d","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":710404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Timothy R. 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191304,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":710639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Rachel E.  0000-0001-5810-7941 rehenderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":191063,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel E. ","email":"rehenderson@usgs.gov","affiliations":[],"preferred":false,"id":710640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brenner, Owen T. obrenner@usgs.gov","contributorId":172832,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":710641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710642,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190433,"text":"ofr20171113 - 2017 - Risk assessment for the reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams, Northeastern Washington","interactions":[],"lastModifiedDate":"2019-12-27T11:45:30","indexId":"ofr20171113","displayToPublicDate":"2017-09-12T00:00:00","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":"2017-1113","title":"Risk assessment for the reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams, Northeastern Washington","docAbstract":"<p><span>The Upper Columbia United Tribes (UCUT; Spokane, Colville, Kootenai, Coeur d’Alene, and Kalispel Tribes) and Washington Department of Fish and Wildlife want to reintroduce anadromous salmonids to their historical range to restore ecosystem function and lost cultural and spiritual relationships in the upper Columbia River, northeastern Washington. The UCUT contracted with the U.S. Geological Survey to assess risks to resident taxa (existing fish populations in the reintroduction area upstream of Chief Joseph and Grand Coulee Dams) and reintroduced salmon associated with reintroduction. We developed a risk assessment framework for reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams. To accomplish this goal, we applied strategies identified in previous risk assessment frameworks for reintroduction. The risk assessment is an initial step towards an anadromous reintroduction strategy. An initial list of potential donor sources for reintroduction species was developed from previous published sources for Chinook Salmon (</span><i><span>Oncorhynchus tshawytscha</span></i><span>) donors in the Transboundary Reach of the Columbia River, British Columbia; an ecological risk assessment of upper Columbia River hatchery programs on non-target taxa of concern; and a review of existing hatchery programs</span></p><p><span>During two workshops, we further identified and ranked potential donor sources of anadromous Redband Trout (steelhead; </span><i><span>O. mykiss</span></i><span>), Chinook Salmon, Sockeye Salmon (</span><i><span>O. nerka</span></i><span>), and Coho Salmon (</span><i><span>O. kisutch</span></i><span>). We also identified resident fish populations of interest and their primary habitat, location, status, and pathogen concerns to determine the potential risks of reintroduction. Species were deemed of interest based on resource management and potential interactions (that is, genetics, competition, and predation) with introduced species. We developed tables of potential donors by species and characterized potential sources (hatchery and natural origins), populations (individual runs), broodstock management and history, and potential constraints (that is, Endangered Species Act [ESA] listing, Evolutionarily Significant Unit concerns, pathogens, and availability). During the workshops, a group of regional fisheries and topic experts subjectively ranked the relative risks of pathogens, genetic effects, predation, and competition to resident fish and reintroduced salmonids. We assessed the pathogen risk of each potential donor for introducing new pathogens and the increased burden to existing pathogens for resident species upstream of the dams. We considered genetic risks to resident and downstream conspecifics and ecological impacts, including competition for food and space, predator-prey interactions, and ecosystem benefits/impacts. Each reintroduced species donor source was ranked based on abundance/viability (demographic risk to source and feasibility of collection), ancestral/genetic similarity (evolutionary similarity to historical populations), local adaptation (geographic proximity/similarity of source conditions to reintroduction conditions), and life history compatibility (including migration; spawn timing; and relative usage of reservoir, main-stem, or tributary habitats) with environmental conditions in the reintroduction area. We synthesized this information by species for all potential donors, in which an overall score and ranking system was established for decision support in donor selection for reintroduction into the upper Columbia River. We also provided information outside the ranking process by:</span></p><ol><li>Identifying predator-prey interactions and competition for food and space among species,</li><li>Developing a decision support framework for donor selection, and</li><li>Providing decision support for reintroduction strategies.</li></ol>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171113","collaboration":"Prepared in cooperation with the Upper Columbia United Tribes","usgsCitation":"Hardiman, J.M., Breyta, R.B., Haskell, C.A., Ostberg, C.O., Hatten, J.R., and Connolly, P.J., 2017, Risk assessment for the reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams, northeastern Washington: U.S. Geological Survey Open-File Report 2017 -1113, 87 p., https://doi.org/10.3133/ofr20171113.","productDescription":"vi, 87 p.","numberOfPages":"98","onlineOnly":"Y","ipdsId":"IP-087066","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":345623,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1113/coverthb.jpg"},{"id":345624,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1113/ofr20171113.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1113"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River Basin, Colville Reservation, Spokane Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.33300781249999,\n              47.15236927446393\n            ],\n            [\n              -117.158203125,\n              47.15236927446393\n            ],\n            [\n              -117.158203125,\n              48.86471476180277\n            ],\n            [\n              -121.33300781249999,\n              48.86471476180277\n            ],\n            [\n              -121.33300781249999,\n              47.15236927446393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Geographic Area of Interest<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Glossary<br></li><li>Appendixes A–C<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-09-12","noUsgsAuthors":false,"publicationDate":"2017-09-12","publicationStatus":"PW","scienceBaseUri":"59b8f21de4b08b1644e0aed5","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel B.","contributorId":196366,"corporation":false,"usgs":true,"family":"Breyta","given":"Rachel B.","affiliations":[],"preferred":false,"id":709130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haskell, Craig A. 0000-0002-3604-1758 chaskell@usgs.gov","orcid":"https://orcid.org/0000-0002-3604-1758","contributorId":3458,"corporation":false,"usgs":true,"family":"Haskell","given":"Craig","email":"chaskell@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190506,"text":"ofr20171109 - 2017 - Bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016","interactions":[],"lastModifiedDate":"2017-09-08T16:46:32","indexId":"ofr20171109","displayToPublicDate":"2017-09-08T17:30:00","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":"2017-1109","title":"Bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016","docAbstract":"<p>From July 14 to July 20, 2016, the U.S. Geological Survey, in cooperation with the City of Ithaca, New York, and the New York State Department of State, surveyed the bathymetry of the Cayuga Inlet flood-control channel and the mouths of selected tributaries to Cayuga Inlet and Cayuga Lake in Ithaca, N.Y. The flood-control channel, built by the U.S. Army Corps of Engineers between 1965 and 1970, was designed to convey flood flows from the Cayuga Inlet watershed through the City of Ithaca and minimize possible flood damages. Since that time, the channel has infrequently been maintained by dredging, and sediment accumulation and resultant shoaling have greatly decreased the conveyance of the channel and its navigational capability.</p><p>U.S. Geological Survey personnel collected bathymetric data by using an acoustic Doppler current profiler. The survey produced a dense dataset of water depths that were converted to bottom elevations. These elevations were then used to generate a geographic information system bathymetric surface. The bathymetric data and resultant bathymetric surface show the current condition of the channel and provide the information that governmental agencies charged with maintaining the Cayuga Inlet for flood-control and navigational purposes need to make informed decisions regarding future maintenance measures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171109","collaboration":"Prepared in cooperation with the  City of Ithaca, New York, and the New York State Department of State","usgsCitation":"Wernly, J.F., Nystrom, E.A., and Coon, W.F., 2017, Bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016: U.S. Geological Survey Open-File Report 2017–1109, 9 p., https://doi.org/10.3133/ofr20171109.","productDescription":"Report: v, 9 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-080379","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":438218,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K935NQ","text":"USGS data release","linkHelpText":"Geospatial dataset of bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016"},{"id":345569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1109/coverthb.jpg"},{"id":345570,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1109/ofr20171109.pdf","text":"Report","size":"1.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1109"},{"id":345572,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7K935NQ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial dataset of bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries, Ithaca, N.Y., 2016"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Cayuga Inlet Flood-Control Channel ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.52423858642578,\n              42.42586409208738\n            ],\n            [\n              -76.48801803588867,\n              42.42586409208738\n            ],\n            [\n              -76.48801803588867,\n              42.46437270371863\n            ],\n            [\n              -76.52423858642578,\n              42.46437270371863\n            ],\n            [\n              -76.52423858642578,\n              42.42586409208738\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://ny.water.usgs.gov\" data-mce-href=\"https://ny.water.usgs.gov\">New York Water Science Center</a><br> U.S. Geological Survey <br> 30 Brown Road <br> Ithaca, NY 14850</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Bathymetric Survey</li><li>Creation of Bathymetric Surface</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-09-08","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"59b3ac2de4b08b1644d8f193","contributors":{"authors":[{"text":"Wernly, John F. 0000-0001-9445-1205 jwernly@usgs.gov","orcid":"https://orcid.org/0000-0001-9445-1205","contributorId":196159,"corporation":false,"usgs":true,"family":"Wernly","given":"John","email":"jwernly@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":709494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189769,"text":"ofr20171095 - 2017 - Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","interactions":[],"lastModifiedDate":"2017-08-31T11:32:02","indexId":"ofr20171095","displayToPublicDate":"2017-08-31T12:00:00","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":"2017-1095","title":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","docAbstract":"<p>A hydrologic monitoring network was installed to investigate landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between Seattle and Everett, near Mukilteo, Washington. During the summer of 2015, the U.S. Geological Survey installed monitoring equipment at four sites equipped with instrumentation to measure rainfall and air temperature every 15 minutes. Two of the four sites are installed on contrasting coastal bluffs, one landslide scarred and one vegetated. At these two sites, in addition to rainfall and air temperature, volumetric water content, pore pressure, soil suction, soil temperature, and barometric pressure were measured every 15 minutes. The instrumentation was designed to supplement landslide-rainfall thresholds developed by the U.S. Geological Survey with a long-term goal of advancing the understanding of the relationship between landslide potential and hydrologic forcing along the coastal bluffs. Additionally, the system was designed to function as a prototype monitoring system to evaluate criteria for site selection, instrument selection, and placement of instruments. The purpose of this report is to describe the monitoring system, present the data collected since installation, and describe significant events represented within the dataset, which is published as a separate data release. The findings provide insight for building and configuring larger, modular monitoring networks.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171095","collaboration":"Prepared as part of a Technical Assistance Agreement with Sound Transit","usgsCitation":"Smith, J.B., Baum, R.L., Mirus, B.B., Michel, A.R., and Stark, B., 2017, Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington: U.S. Geological Survey Open-File Report 2017–1095, 48 p., https://doi.org/10.3133/ofr20171095.","productDescription":"Report: vii, 48 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-086276","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1095/ofr20171095.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1095"},{"id":345112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1095/coverthb.jpg"},{"id":345114,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85WX","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington"}],"country":"United States","state":"Washington","city":"Mukilteo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.35748291015625,\n              47.87352572966863\n            ],\n            [\n              -122.29225158691406,\n              47.87352572966863\n            ],\n            [\n              -122.29225158691406,\n              47.954064687296885\n            ],\n            [\n              -122.35748291015625,\n              47.954064687296885\n            ],\n            [\n              -122.35748291015625,\n              47.87352572966863\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://geohazards.cr.usgs.gov/\" data-mce-href=\"http://geohazards.cr.usgs.gov/\">Director, Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Previous Work</li><li>Site Descriptions</li><li>Field Instrumentation</li><li>System Reliability and Recommended Improvements</li><li>Data Preparation for Analysis and Release</li><li>Overview of Acquired Data</li><li>Conclusion</li><li>References Cited</li><li>Appendix 1. Datalogger Programs</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-08-31","noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","scienceBaseUri":"59a9203de4b07e1a023ccd91","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":706289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michel, Abigail R.","contributorId":195122,"corporation":false,"usgs":false,"family":"Michel","given":"Abigail","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stark, Ben","contributorId":195123,"corporation":false,"usgs":false,"family":"Stark","given":"Ben","email":"","affiliations":[],"preferred":false,"id":706291,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190057,"text":"ofr20171103 - 2017 - Design and methods of the Pacific Northwest Stream Quality Assessment (PNSQA), 2015","interactions":[],"lastModifiedDate":"2017-08-27T08:18:00","indexId":"ofr20171103","displayToPublicDate":"2017-08-25T00:00:00","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":"2017-1103","title":"Design and methods of the Pacific Northwest Stream Quality Assessment (PNSQA), 2015","docAbstract":"<p class=\"p1\">In 2015, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) project conducted the Pacific Northwest Stream Quality Assessment (PNSQA) to investigate stream quality across the western part of the Pacific Northwest. The goal of the PNSQA was to assess the health of streams in the region by characterizing multiple water-quality factors that are stressors to in-stream aquatic life and by evaluating the relation between these stressors and the condition of biological communities. The effects of urbanization and agriculture on stream quality for the Puget Lowland and Willamette Valley Level III Ecoregions were the focus of this regional study. Findings will help inform the public and policymakers about human and environmental factors that are the most critical in affecting stream quality and, thus, provide insights into possible strategies to protect or improve the health of streams in the region.</p><p class=\"p1\">Land-use data were used in the study to identify and select sites within the region that ranged in levels of urban and agricultural development. A total of 88 sites were selected across the region—69 were on streams that explicitly spanned a range of urban land use in their watersheds, 8 were on streams in agricultural watersheds, and 11 were reference sites with little or no development in their watersheds. Depending on the type of land use, sites were sampled for contaminants, nutrients, and sediment for either a 4- or 10-week period during April, May, and June 2015. This water-quality “index period” was immediately followed with an ecological survey of all sites that included stream habitat, benthic algae, benthic macroinvertebrates, and fish. Additionally, streambed sediment was collected during the ecological survey for analysis of sediment chemistry and toxicity testing.</p><p class=\"p1\">This report provides a detailed description of the specific study components and methods of the PNSQA, including (1) surveys of stream habitat and aquatic biota, (2) discrete water sampling, (3) deployment of passive polar organic chemical integrative samplers for pesticides and pharmaceuticals, and (4) sampling of streambed sediment. At selected study sites, toxicity testing of streambed sediment, continuous water-quality monitoring, and daily pesticide sampling also were conducted and are described.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171103","collaboration":"National Water-Quality Assessment Project","usgsCitation":"Sheibley, R.W., Morace, J.L., Journey, C.A., Van Metre, P.C., Bell, A.H., Nakagaki, Naomi, Button, D.T., and Qi, S.L., 2017, Design and methods of the Pacific Northwest Stream Quality Assessment (PNSQA), 2015: U.S. Geological Survey Open-File Report 2017-1103, 46 p., https://doi.org/10.3133/ofr20171103.","productDescription":"Report: viii, 46 p.; Table; 2 Appendixes","onlineOnly":"Y","ipdsId":"IP-086097","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":345123,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1103/coverthb.jpg"},{"id":345124,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103.pdf","text":"Report","size":"18.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1103"},{"id":345125,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103_appendixa.xlsx","text":"Appendix A","size":"325 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1103 Appendix A"},{"id":345126,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103_appendixb.xlsx","text":"Appendix B","size":"86 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1103 Appendix B"},{"id":345127,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103_table4.xlsx","text":"Table 4","size":"37 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1103 Table 4"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127,\n              43.25\n            ],\n            [\n              -120,\n              43.25\n            ],\n            [\n              -120,\n              49\n            ],\n            [\n              -127,\n              49\n            ],\n            [\n              -127,\n              43.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"https://wa.water.usgs.gov\" target=\"blank\" data-mce-href=\"https://wa.water.usgs.gov\">Washington Water Science Center</a><br> U.S. Geological Survey<br> 934 Broadway, Suite 300<br> Tacoma, Washington 98402</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Study Design<br></li><li>Data Collection and Processing<br></li><li>Laboratory Analyses<br></li><li>Quality Assurance and Quality Control<br></li><li>Data Management Procedures<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendixes A–B<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-08-25","noUsgsAuthors":false,"publicationDate":"2017-08-25","publicationStatus":"PW","scienceBaseUri":"59a1372be4b0d7af54bc4a71","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morace, Jennifer L. 0000-0002-8132-4044 jlmorace@usgs.gov","orcid":"https://orcid.org/0000-0002-8132-4044","contributorId":945,"corporation":false,"usgs":true,"family":"Morace","given":"Jennifer","email":"jlmorace@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Journey, Celeste A. 0000-0002-2284-5851","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":195839,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":707359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":707360,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707361,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707362,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707364,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187533,"text":"ofr20171051 - 2017 - Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri","interactions":[],"lastModifiedDate":"2024-03-04T19:00:21.524263","indexId":"ofr20171051","displayToPublicDate":"2017-08-23T14:45:00","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":"2017-1051","title":"Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri","docAbstract":"<p>The Clarence Cannon National Wildlife Refuge (CCNWR) in the Mississippi River flood plain of eastern Missouri provides high quality emergent marsh and moist-soil habitat benefitting both nesting marsh birds and migrating waterfowl. Staff of CCNWR manipulate water levels and vegetation in the 17 units of the CCNWR to provide conditions favorable to these two important guilds. Although both guilds include focal species at multiple planning levels and complement objectives to provide a diversity of wetland community types and water regimes, additional decision support is needed for choosing how much emergent marsh and moist-soil habitat should be provided through annual management actions.</p><p>To develop decision guidance for balanced delivery of high-energy waterfowl habitat and breeding marsh bird habitat, two measureable management objectives were identified: nonbreeding <i>Anas Linnaeus</i> (dabbling duck) use-days and <i>Rallus elegans</i> (king rail) occupancy of managed units. Three different composite management actions were identified to achieve these objectives. Each composite management action is a unique combination of growing season water regime and soil disturbance. The three composite management actions are intense moist-soil management (moist-soil), intermediate moist-soil (intermediate), and perennial management, which idles soils disturbance (perennial). The two management objectives and three management options were used in a multi-criteria decision analysis to indicate resource allocations and inform annual decision making. Outcomes of the composite management actions were predicted in two ways and multi-criteria decision analysis was used with each set of predictions. First, outcomes were predicted using expert-elicitation techniques and a panel of subject matter experts. Second, empirical data from the Integrated Waterbird Management and Monitoring Initiative collected between 2010 and 2013 were used; where data were lacking, expert judgment was used. Also, a Bayesian decision model was developed that can be updated with monitoring data in an adaptive management framework.</p><p>Optimal resource allocations were identified in the form of portfolios of composite management actions for the 17 units in the framework. A constrained optimization (linear programming) was used to maximize an objective function that was based on the sum of dabbling duck and king rail utility. The constraints, which included management costs and a minimum energetic carrying capacity (total moist-soil acres), were applied to balance habitat delivery for dabbling ducks and king rails. Also, the framework was constrained in some cases to apply certain management actions of interest to certain management units; these constraints allowed for a variety of hypothetical Habitat Management Plans, including one based on output from a hydrogeomorphic study of the refuge. The decision analysis thus created numerous refuge-wide scenarios, each representing a unique mix of options (one for each of 17 units) and associated benefits (i.e., outcomes with respect to two management objectives).</p><p>Prepared in collaboration with the U.S. Fish and Wildlife Service, the decision framework presented here is designed as a decision-aiding tool for CCNWR managers who ultimately make difficult decisions each year with multiple objectives, multiple management units, and the complexity of natural systems. The framework also provides a way to document hypotheses about how the managed system functions. Furthermore, the framework identifies specific monitoring needs and illustrates precisely how monitoring data will be used for decision-aiding and adaptive management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171051","usgsCitation":"Loges, B.W., Lyons, J.E., and Tavernia, B.G., 2017, Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri: U.S. Geological Survey Open-File Report <br> 2017–1051, 28 p., https://doi.org/10.3133/ofr20171051.","productDescription":"vii, 28 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074602","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":344988,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1051/ofr20171051.pdf","text":"Report","size":"6.70","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1051"},{"id":344987,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1051/coverthb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Clarence Cannon National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.78088760375975,\n              39.250467248225746\n            ],\n            [\n              -90.73891639709473,\n              39.250467248225746\n            ],\n            [\n              -90.73891639709473,\n              39.27658360383146\n            ],\n            [\n              -90.78088760375975,\n              39.27658360383146\n            ],\n            [\n              -90.78088760375975,\n              39.250467248225746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey <br>12100 Beech Forest Road, Ste 4039<br>Laurel, MD 20708</p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Background</li><li>Composite Management Actions&nbsp;</li><li>Consequences of Composite Management Actions</li><li>Comparing Alternative Composite Management Actions and Assessing Tradeoffs&nbsp;</li><li>Updates to Model Predictions and Expected Utility&nbsp;</li><li>Adaptive Management Using the Bayesian Decision Model&nbsp;</li><li>Management Considerations</li><li>Changes to the Bayesian Decision Model&nbsp;</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Expert Elicitation Guidance for Clarence Cannon National Wildlife Refuge Prototype Decision Model&nbsp;</li><li>Appendix 2. Assigning Composite Management Actions in a Retrospective Analysis&nbsp;</li><li>Appendix 3. Empirical- and Elicitation-Based Dabbler Use-Days and Utilities</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-08-23","noUsgsAuthors":false,"publicationDate":"2017-08-23","publicationStatus":"PW","scienceBaseUri":"599e943ce4b04935557fe968","contributors":{"authors":[{"text":"Loges, Brian W.","contributorId":146554,"corporation":false,"usgs":false,"family":"Loges","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":708132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":694338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tavernia, Brian G. btavernia@usgs.gov","contributorId":174618,"corporation":false,"usgs":false,"family":"Tavernia","given":"Brian","email":"btavernia@usgs.gov","middleInitial":"G.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":708133,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189793,"text":"ofr20171096 - 2017 - The influence of local- and landscape-level factors on wetland breeding birds in the Prairie Pothole Region of North and South Dakota","interactions":[],"lastModifiedDate":"2017-08-17T09:48:01","indexId":"ofr20171096","displayToPublicDate":"2017-08-17T00:00:00","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":"2017-1096","title":"The influence of local- and landscape-level factors on wetland breeding birds in the Prairie Pothole Region of North and South Dakota","docAbstract":"<p>We examined the relationship between local- (wetland) and landscape-level factors and breeding bird abundances on 1,190 depressional wetlands in the Prairie Pothole Region of North and South Dakota during the breeding seasons in 1995–97. The surveyed wetlands were selected from five wetland classes (alkali, permanent, semipermanent, seasonal, or temporary), two wetland types (natural or restored), and two landowner groups (private or Federal). We recorded 133 species of birds in the surveyed wetlands during the 3 years. We analyzed the nine most common (or focal) species (that is, species that were present in 25 percent or more of the 1,190 wetlands): the Red-winged Blackbird (<i>Agelaius phoeniceus</i>), Blue-winged Teal (<i>Anas discors</i>), Mallard <i>(Anas platyrhynchos</i>), American Coot (<i>Fulica americana</i>), Gadwall (<i>Anas strepera</i>), Common Yellowthroat (<i>Geothlypis trichas</i>), Yellow-headed Blackbird (<i>Xanthocephalus xanthocephalus</i>), Northern Shoveler (<i>Anas clypeata</i>), and Savannah Sparrow (<i>Passerculus sandwichensis</i>). Our results emphasize the ecological value of all wetland classes, natural and restored wetlands, and publicly and privately owned wetlands in this region, including wetlands that are generally smaller and shallower (that is, temporary and seasonal wetlands) and thus most vulnerable to drainage. Blue-winged Teal, Northern Shoveler, Gadwall, Common Yellowthroat, and Red-winged Blackbird had higher abundances on Federal than on private wetlands. Abundances differed among wetland classes for seven of the nine focal species: Blue-winged Teal, Northern Shoveler, Mallard, American Coot, Common Yellowthroat, Yellow-headed Blackbird, Red-winged Blackbird. American Coot had higher abundances on restored wetlands than on natural wetlands overall, and Gadwall and Common Yellowthroat had higher abundances on private restored wetlands than on private natural wetlands. The Common Yellowthroat was the only species that had higher abundances on restored private wetlands than on restored Federal wetlands. After adjusting for wetland size and the date and location of the surveys, our results demonstrated that incorporating wetland- and landscape-level factors in models can improve our ability to predict abundances of wetland birds in this region. The top model for eight of the nine focal species included wetland- and landscape-level factors, whereas the best model for Blue-winged Teal included only wetland-level attributes. Although local factors (for example, percent open water or emergent vegetation) in individual wetlands are important factors for some wetland breeding birds, it is important that natural resource managers consider landscape-level factors beyond the local factors in their conservation plans for wetland birds.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171096","usgsCitation":"Igl, L.D., Shaffer, J.A., Johnson, D.H., and Buhl, D.A., 2017, The influence of local- and landscape-level factors on wetland breeding birds in the Prairie Pothole Region of North and South Dakota: U.S. Geological Survey Open-File Report 2017–1096, 65 p., https://doi.org/10.3133/ofr20171096.","productDescription":"Report: vii,  65 p.; Data Release","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086062","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research 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Summary Statistics for Wetland Breeding Bird Study in the Prairie Pothole Region of North and South Dakota in 1995–97<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-08-17","noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"5996ab4ce4b0b589267b3fc2","contributors":{"authors":[{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buhl, Deborah A. 0000-0002-8563-5990 dbuhl@usgs.gov","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":3182,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah","email":"dbuhl@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":706404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189330,"text":"ofr20171082 - 2017 - Agricultural irrigated land-use inventory for Polk County, Florida, 2016","interactions":[],"lastModifiedDate":"2017-08-17T09:34:26","indexId":"ofr20171082","displayToPublicDate":"2017-08-16T00:00:00","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":"2017-1082","title":"Agricultural irrigated land-use inventory for Polk County, Florida, 2016","docAbstract":"<p>An accurate inventory of irrigated crop acreage is not available at the level of resolution needed to better estimate agricultural water use or to project future water demands in many Florida counties. A detailed digital map and summary of irrigated acreage was developed for Polk County, Florida, during the 2016 growing season. This cooperative project between the U.S. Geological Survey and the Office of Agricultural Water Policy of the Florida Department of Agriculture and Consumer Services is part of an effort to improve estimates of water use and projections of future demands across all counties in the State. The irrigated areas were delineated by using land-use data provided by the Florida Department of Agriculture and Consumer Services, along with information obtained from the South and Southwest Florida Water Management Districts consumptive water-use permits. Delineations were field verified between April and December 2016. Attribute data such as crop type, primary water source, and type of irrigation system were assigned to the irrigated areas.</p><p>The results of this inventory and field verification indicate that during the 2016 growing seasons (spring, summer, fall, and winter), an estimated 88,652 acres were irrigated within Polk County. Of the total field-verified crops, 83,995 acres were in citrus; 2,893 acres were in other non-citrus fruit crops (blueberries, grapes, peaches, and strawberries); 621 acres were in row crops (primarily beans and watermelons); 1,117 acres were in nursery (container and tree farms) and sod production; and 26 acres were in field crops including hay and pasture. Of the total inventoried irrigated acreage within Polk County, 98 percent (86,566 acres) was in the Southwest Florida Water Management District, and the remaining 2 percent (2,086 acres) was in the South Florida Water Management District.</p><p>About 85,788 acres (96.8 percent of the acreage inventoried) were irrigated by a microirrigation system, including drip, bubblers, and spray emitters. The remaining 3.2 percent of the irrigated acreage was irrigated by a sprinkler system (2,360 acres) or subsurface flood systems (504 acres). Groundwater was the primary source of water used on irrigated acreage (88 percent, or 78,050 acres); the remaining 10,602 acres (12 percent) used groundwater combined with surface water as the irrigation source.</p><p>The irrigated acreage estimated by the U.S. Geological Survey (USGS) for this 2016 inventory (88,652 acres) is about 11 percent higher than the 79,869 acres estimated by the U.S. Department of Agriculture (USDA) for 2012. Citrus and pasture in Polk County show the biggest difference in irrigated acreage between the USGS and USDA totals. Irrigated citrus acreage inventoried in 2016 by the USGS totaled 83,996 acres, whereas the USDA reported 78,305 acres of citrus in 2012. The USGS identified 6 acres of irrigated pasture and 20 acres of hay, whereas the USDA reported 6,631 acres of irrigated pasture and 1,349 acres of hay for 2012. In general, differences between the 2016 USGS field-verified acreage totals and acreage published by the USDA for 2012 could be due to (1) irrigated acreage for some specific crops increased or decreased substantially during the 4-year interval between 2012 and 2016 because of production or economic changes, (2) the assumption that if an irrigation system was present, it was used in 2016, when in fact some landowners may not have used their irrigation systems during this growing period even if they had a crop in the field, or (3) the amount of irrigated acreage published by the USDA for selected crops may be underestimated as a result of how information is obtained and formulated by the agency during census compilations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171082","collaboration":"Prepared in cooperation with the Florida Department of Agriculture and Consumer Services Office of Agricultural Water Policy","usgsCitation":"Marella, R.L., Berry, D.R., and Dixon, J.F., 2017, Agricultural irrigated land-use inventory for Polk County, Florida, 2016: U.S. Geological Survey Open-File Report 2017–1082, 14 p., https://doi.org/10.3133/ofr20171082.","productDescription":"14 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080915","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":344885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1082/coverthb.jpg"},{"id":344888,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76W98BN","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"GIS data and tables associated with irrigated agricultural land use survey in Polk County, Florida, 2016"},{"id":344886,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1082/ofr20171082.pdf","text":"Report","size":"823 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1082"},{"id":344887,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1082/ofr20171082_Appendix01.pdf","text":"Appendix 1","size":"1.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1082 Appendix 1"}],"country":"United 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<a href=\"https://fl.water.usgs.gov\" data-mce-href=\"https://fl.water.usgs.gov\">Caribbean-Florida Science Center</a><br>U.S. Geological Survey<br>12703 Research Parkway<br>Orlando, Florida 32826<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Investigation<br></li><li>Results<br></li><li>Further Information<br></li><li>References<br></li><li>Acknowledgments<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-08-16","noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"599559bae4b0fe2b9fea6c3e","contributors":{"authors":[{"text":"Marella, Richard L. 0000-0003-4861-9841 rmarella@usgs.gov","orcid":"https://orcid.org/0000-0003-4861-9841","contributorId":2443,"corporation":false,"usgs":true,"family":"Marella","given":"Richard","email":"rmarella@usgs.gov","middleInitial":"L.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Darbi dberry@usgs.gov","contributorId":173734,"corporation":false,"usgs":true,"family":"Berry","given":"Darbi","email":"dberry@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":704198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":704199,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190102,"text":"ofr20171104 - 2017 - Modified mercalli intensities for nine earthquakes in central and western Washington between 1989 and 1999","interactions":[],"lastModifiedDate":"2017-08-21T14:04:16","indexId":"ofr20171104","displayToPublicDate":"2017-08-15T00:00:00","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":"2017-1104","title":"Modified mercalli intensities for nine earthquakes in central and western Washington between 1989 and 1999","docAbstract":"<p>We determine Modified Mercalli (Seismic) Intensities (MMI) for nine onshore earthquakes of magnitude 4.5 and larger that occurred in central and western Washington between 1989 and 1999, on the basis of effects reported in postal questionnaires, the press, and professional collaborators. The earthquakes studied include four earthquakes of <i>M</i>5 and larger: the <i>M</i>5.0 Deming earthquake of April 13, 1990, the <i>M</i>5.0 Point Robinson earthquake of January 29, 1995, the <i>M</i>5.4 Duvall earthquake of May 3, 1996, and the <i>M</i>5.8 Satsop earthquake of July 3, 1999. The MMI are assigned using data and procedures that evolved at the U.S. Geological Survey (USGS) and its Department of Commerce predecessors and that were used to assign MMI to felt earthquakes occurring in the United States between 1931 and 1986. We refer to the MMI assigned in this report as traditional MMI, because they are based on responses to postal questionnaires and on newspaper reports, and to distinguish them from MMI calculated from data contributed by the public by way of the internet. Maximum traditional MMI documented for the <i>M</i>5 and larger earthquakes are VII for the 1990 Deming earthquake, V for the 1995 Point Robinson earthquake, VI for the 1996 Duvall earthquake, and VII for the 1999 Satsop earthquake; the five other earthquakes were variously assigned maximum intensities of IV, V, or VI. Starting in 1995, the Pacific Northwest Seismic Network (PNSN) published MMI maps for four of the studied earthquakes, based on macroseismic observations submitted by the public by way of the internet. With the availability now of the traditional USGS MMI interpreted for all the sites from which USGS postal questionnaires were returned, the four Washington earthquakes join a rather small group of earthquakes for which both traditional USGS MMI and some type of internet-based MMI have been assigned. The values and distributions of the traditional MMI are broadly similar to the internet-based PNSN intensities; we discuss some differences in detail that reflect differences in data-sampling procedure, differences in the procedure used to assign intensity numbers from macroseismic observations, and differences in how intensities are mapped.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171104","usgsCitation":"Brocher, T.M., Dewey, J.W., and Cassidy, J.F., 2017, Modified Mercalli Intensities for nine earthquakes in central and western Washington between 1989 and 1999: U.S. Geological Survey Open-File Report 2017–1104, 82 p., https://doi.org/10.3133/ofr20171104.","productDescription":"v, 82 p.","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-080341","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344861,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1104/ofr2017.1104.pdf","text":"Report","size":"4.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1104"},{"id":344860,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1104/coverthb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.925048828125,\n              44.12702800650004\n            ],\n            [\n              -116.90551757812499,\n              44.12702800650004\n            ],\n            [\n              -116.90551757812499,\n              49.78835749241399\n            ],\n            [\n              -126.925048828125,\n              49.78835749241399\n            ],\n            [\n              -126.925048828125,\n              44.12702800650004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/\">USGS Earthquake Science Center<br></a><a href=\"https://usgs.gov/\" target=\"_blank\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road&nbsp;<br>Mail Stop 977&nbsp;<br>Menlo Park, CA 94025&nbsp;<br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract&nbsp;<br></li><li>Introduction<br></li><li>Traditional USGS Postal Canvasses and Interpretation of MMI&nbsp;<br></li><li>Nine Washington State Earthquakes Between 1989 and 1999&nbsp;<br></li><li>The 1987 to Early 2000s Gap in Reporting MMI<br></li><li>Purposes of this Report&nbsp;<br></li><li>Comparing Traditional MMI to Community Internet Intensity Reports<br></li><li>Format of the Remainder of this Report<br></li><li>M4.5 1989 Olympic Peninsula Earthquake<br></li><li>M4.5 1989 Okanogan Earthquake<br></li><li>M4.9 1989 Morton Earthquake&nbsp;<br></li><li>M5.0 1990 Deming Earthquake&nbsp;<br></li><li>M5.0 1995 Point Robinson Earthquake&nbsp;<br></li><li>M5.2 1996 Duvall Earthquake<br></li><li>M4.9 1997 Bremerton Earthquake<br></li><li>M4.6 1997 Okanogan Earthquake<br></li><li>M5.8 1999 Satsop Earthquake&nbsp;<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-08-15","noUsgsAuthors":false,"publicationDate":"2017-08-15","publicationStatus":"PW","scienceBaseUri":"59940847e4b0fe2b9fe8af97","contributors":{"authors":[{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":707465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cassidy, John F.","contributorId":195561,"corporation":false,"usgs":false,"family":"Cassidy","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":707467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188593,"text":"ofr20171028 - 2017 - Detecting temporal change in land-surface altitude using robotic land-surveying techniques and geographic information system applications at an earthen dam site in Southern Westchester County, New York","interactions":[],"lastModifiedDate":"2017-08-21T07:55:30","indexId":"ofr20171028","displayToPublicDate":"2017-08-14T09:15:00","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":"2017-1028","title":"Detecting temporal change in land-surface altitude using robotic land-surveying techniques and geographic information system applications at an earthen dam site in Southern Westchester County, New York","docAbstract":"<p>In 2005, the U.S. Geological Survey began a cooperative study with New York City Department of Environmental Protection to characterize the local groundwater-flow system and identify potential sources of seeps on the southern embankment at the Hillview Reservoir in southern Westchester County, New York. Monthly site inspections at the reservoir indicated an approximately 90-square-foot depression in the land surface directly upslope from a seep that has episodically flowed since 2007. In July 2008, the U.S. Geological Survey surveyed the topography of land surface in this depression area by collecting high-accuracy (resolution less than 1 inch) measurements. A point of origin was established for the topographic survey by using differentially corrected positional data collected by a global navigation satellite system. Eleven points were surveyed along the edge of the depression area and at arbitrary locations within the depression area by using robotic land-surveying techniques. The points were surveyed again in March 2012 to evaluate temporal changes in land-surface altitude. Survey measurements of the depression area indicated that the land-surface altitude at 8 of the 11 points decreased beyond the accepted measurement uncertainty during the 44 months from July 2008 to March 2012. Two additional control points were established at stable locations along Hillview Avenue, which runs parallel to the embankment. These points were measured during the July 2008 survey and measured again during the March 2012 survey to evaluate the relative accuracy of the altitude measurements. The relative horizontal and vertical (altitude) accuracies of the 11 topographic measurements collected in March 2012 were ±0.098 and ±0.060 feet (ft), respectively. Changes in topography at 8 of the 11 points ranged from 0.09 to 0.63 ft and topography remained constant, or within the measurement uncertainty, for 3 of the 11 points.</p><p>Two cross sections were constructed through the depression area by using land-surface altitude data that were interpolated from positional data collected during the two topographic surveys. Cross section <i>A–A′</i> was approximately 8.5 ft long and consisted of three surveyed points that trended north to south across the depression. Land-surface altitude change decreased along the entire north-south trending cross section during the 44 months, and ranged from 0.2 to more than 0.6 ft. In general, greater land-surface altitude change was measured north of the midpoint as compared to south of the midpoint of the cross section. Cross section <i>B–B′</i> was 18 ft long and consisted of six surveyed points that trended east to west across the depression. Land-surface altitude change generally decreased or remained constant along the east-west trending cross section during the 44 months and ranged from 0.0 to 0.3 ft. Volume change of the depression area was calculated by using a three-dimensional geographic information system utility that subtracts interpolated surfaces. The results indicated a net volume loss of approximately 38 ±5 cubic feet of material from the depression area during the 44 months.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171028","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Noll, M.L., and Chu, Anthony, 2017, Detecting temporal change in land-surface altitude using robotic land-surveying techniques and geographic information system applications at an earthen dam site in southern Westchester County, New York: U.S. Geological Survey Open-File Report 2017–1028, 15 p., https://doi.org/10.3133/ofr20171028.","productDescription":"vi, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077425","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":344641,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1028/ofr20171028.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1028"},{"id":344640,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1028/coverthb.jpg"}],"country":"United States","state":"New York","county":"Westchester County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.88648986816406,\n              40.894180824484465\n            ],\n            [\n              -73.85250091552734,\n              40.894180824484465\n            ],\n            [\n              -73.85250091552734,\n              40.92726192578736\n            ],\n            [\n              -73.88648986816406,\n              40.92726192578736\n            ],\n            [\n              -73.88648986816406,\n              40.894180824484465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov:&quot;\" data-mce-href=\"mailto:dc_ny@usgs.gov:&quot;\">Director</a>, <a href=\"https://ny.water.usgs.gov\" data-mce-href=\"https://ny.water.usgs.gov\">New York Water Science Center</a><br> U.S. Geological Survey<br> 2045 Route 112, Building 4<br> Coram, NY 11727</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Investigation</li><li>Land-Surface Altitude Change</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Manufacturer Specifications for Uncertainty of Robotic Total Station Measurements</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-08-14","noUsgsAuthors":false,"publicationDate":"2017-08-14","publicationStatus":"PW","scienceBaseUri":"599bf123e4b0b589267ed33f","contributors":{"authors":[{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189501,"text":"ofr20171093 - 2017 - Using object-based image analysis to conduct high-resolution conifer extraction at regional spatial scales","interactions":[],"lastModifiedDate":"2017-08-10T17:20:33","indexId":"ofr20171093","displayToPublicDate":"2017-08-10T00:00:00","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":"2017-1093","title":"Using object-based image analysis to conduct high-resolution conifer extraction at regional spatial scales","docAbstract":"<p class=\"p1\">The distribution and abundance of pinyon (<i>Pinus monophylla</i>) and juniper (<i>Juniperus osteosperma, J. occidentalis</i>) trees (hereinafter, \"pinyon-juniper\") in sagebrush (<i>Artemisia </i>spp.) ecosystems of the Great Basin in the Western United States has increased substantially since the late 1800s. Distributional expansion and infill of pinyon-juniper into sagebrush ecosystems threatens the ecological function and economic viability of these ecosystems within the Great Basin, and is now a major contemporary challenge facing land and wildlife managers. Particularly, pinyon-juniper encroachment into intact sagebrush ecosystems has been identified as a primary threat facing populations of greater sage-grouse (<i>Centrocercus urophasianus</i>; hereinafter, \"sage-grouse\"), which is a sagebrush obligate species. Even seemingly innocuous scatterings of isolated pinyon-juniper in an otherwise intact sagebrush landscape can negatively affect survival and reproduction of sage-grouse. Therefore, accurate and high-resolution maps of pinyon-juniper distribution and abundance (indexed by canopy cover) across broad geographic extents would help guide land management decisions that better target areas for pinyon-juniper removal projects (for example, fuel reduction, habitat improvement for sage-grouse, and other sagebrush species) and facilitate science that further quantifies ecological effects of pinyon-juniper encroachment on sage-grouse populations and sagebrush ecosystem processes<i>. </i>Hence, we mapped pinyon-juniper (referred to as conifers for actual mapping) at a 1 × 1-meter (m) high resolution across the entire range of previously mapped sage-grouse habitat in Nevada and northeastern California.</p><p class=\"p1\">We used digital orthophoto quad tiles from National Agriculture Imagery Program (2010, 2013) as base imagery, and then classified conifers using automated feature extraction methodology with the program Feature Analyst<span class=\"s1\">™</span>. This method relies on machine learning algorithms that extract features from imagery based on their spectral and spatial signatures. We classified conifers in 6,230 tiles and then tested for errors of omission and commission using confusion matrices. Accuracy ranged from 79.1 to 96.8, with an overall accuracy of 84.3 percent across all mapped areas. An estimated accuracy coefficient (kappa) indicated substantial to nearly perfect agreement, which varied across mapped areas. For this mapping process across the entire mapping extent, four sets of products are available at <span class=\"s2\"><a href=\"https://doi.org/10.5066/F7348HVC\" target=\"blank\" data-mce-href=\"https://doi.org/10.5066/F7348HVC\">https://doi.org/10.5066/F7348HVC</a></span>, including (1) a shapefile representing accuracy results linked to mapping subunits; (2) binary rasters representing conifer presence or absence at a 1 × 1 m resolution; (3) a 30 × 30 m resolution raster representing percentages of conifer canopy cover within each cell from 0 to 100; and (4) 1 × 1 m resolution canopy cover classification rasters derived from a 50-m-radius moving window analysis. The latter two products can be reclassified in a geographic information system (GIS) into user-specified bins to meet different objectives, which include approximations for phases of encroachment. These products complement, and in some cases improve upon, existing conifer maps in the Western United States, and will help facilitate sage-grouse habitat management and sagebrush ecosystem restoration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171093","collaboration":"Prepared in cooperation with the Bureau of Land Management and Nevada Department of Wildlife","usgsCitation":"Coates, P.S., Gustafson, K.B., Roth, C.L., Chenaille, M.P., Ricca, M.A., Mauch, Kimberly, Sanchez-Chopitea, Erika, Kroger, T.J., Perry, W.M., and Casazza, M.L., 2017, Using object-based image analysis to conduct high-resolution conifer extraction at regional spatial scales: U.S. Geological Survey Open-File Report 2017-1093, 40 p., https://doi.org/10.3133/ofr20171093.","productDescription":"Report: vi, 40 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088288","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344637,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7348HVC","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data for object-based high-resolution classification of conifers within greater sage-grouse habitat across Nevada and a portion of northeastern California"},{"id":344635,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1093/coverthb.jpg"},{"id":344636,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1093/ofr20171093.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1093"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.9,\n              34\n            ],\n            [\n              -113,\n              34\n            ],\n            [\n              -113,\n              42.25\n            ],\n            [\n              -121.9,\n              42.25\n            ],\n            [\n              -121.9,\n              34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819</p>","tableOfContents":"<ul><li>Preface<br></li><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Study Methods<br></li><li>Conifer Mapping Results<br></li><li>Discussion<br></li><li>Caveats and Comparisons<br></li><li>References Cited<br></li><li>Appendix A. Error Matrices Results of Mapping Conifers at the 1-Meter Resolution across All Population Management Units Using Intensive Accelerated Feature Extraction Methods within Greater Sage-Grouse Habitat of Nevada and California<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-08-10","noUsgsAuthors":false,"publicationDate":"2017-08-10","publicationStatus":"PW","scienceBaseUri":"598d70b0e4b09fa1cb136f23","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":704924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gustafson, K. Benjamin 0000-0003-3530-0372 kgustafson@usgs.gov","orcid":"https://orcid.org/0000-0003-3530-0372","contributorId":5568,"corporation":false,"usgs":true,"family":"Gustafson","given":"K.","email":"kgustafson@usgs.gov","middleInitial":"Benjamin","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":704925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roth, Cali L.","contributorId":195534,"corporation":false,"usgs":true,"family":"Roth","given":"Cali L.","affiliations":[],"preferred":false,"id":704926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chenaille, Michael P.","contributorId":195535,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael P.","affiliations":[],"preferred":false,"id":704927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ricca, Mark A. mark_ricca@usgs.gov","contributorId":2400,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":704928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mauch, Kimberly 0000-0002-5625-9658 kmauch@usgs.gov","orcid":"https://orcid.org/0000-0002-5625-9658","contributorId":166820,"corporation":false,"usgs":true,"family":"Mauch","given":"Kimberly","email":"kmauch@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":704929,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanchez-Chopitea, Erika 0000-0003-2942-8417 esanchez-chopitea@usgs.gov","orcid":"https://orcid.org/0000-0003-2942-8417","contributorId":166819,"corporation":false,"usgs":true,"family":"Sanchez-Chopitea","given":"Erika","email":"esanchez-chopitea@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":704930,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kroger, Travis J.","contributorId":195537,"corporation":false,"usgs":true,"family":"Kroger","given":"Travis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704931,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":704932,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":704933,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70189272,"text":"ofr20171087 - 2017 - Greater sage-grouse (<em>Centrocercus urophasianus</em>) nesting and brood-rearing microhabitat in Nevada and California—Spatial variation in selection and survival patterns","interactions":[],"lastModifiedDate":"2017-08-10T17:09:48","indexId":"ofr20171087","displayToPublicDate":"2017-08-10T00:00:00","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":"2017-1087","title":"Greater sage-grouse (<em>Centrocercus urophasianus</em>) nesting and brood-rearing microhabitat in Nevada and California—Spatial variation in selection and survival patterns","docAbstract":"<p class=\"p1\">Greater sage-grouse (<i>Centrocercus urophasianus</i>; hereinafter, \"sage-grouse\") are highly dependent on sagebrush (<i>Artemisia </i>spp.) dominated vegetation communities for food and cover from predators. Although this species requires the presence of sagebrush shrubs in the overstory, it also inhabits a broad geographic distribution with significant gradients in precipitation and temperature that drive variation in sagebrush ecosystem structure and concomitant shrub understory conditions. Variability in understory conditions across the species’ range may be responsible for the sometimes contradictory findings in the scientific literature describing sage-grouse habitat use and selection during important life history stages, such as nesting. To help understand the importance of this variability and to help guide management actions, we evaluated the nesting and brood-rearing microhabitat factors that influence selection and survival patterns in the Great Basin using a large dataset of microhabitat characteristics from study areas spanning northern Nevada and a portion of northeastern California from 2009 to 2016. The spatial and temporal coverage of the dataset provided a powerful opportunity to evaluate microhabitat factors important to sage-grouse reproduction, while also considering habitat variation associated with different climatic conditions and areas affected by wildfire. The summary statistics for numerous microhabitat factors, and the strength of their association with sage-grouse habitat selection and survival, are provided in this report to support decisions by land managers, policy-makers, and others with the best-available science in a timely manner.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171087","collaboration":"Prepared in cooperation with the Bureau of Land Management and Nevada Department of Wildlife","usgsCitation":"Coates, P.S., Brussee, B.E., Ricca, M.A., Dudko, J.E., Prochazka, B.G., Espinosa, S.P., Casazza, M.L., and Delehanty, D.J., 2017, Greater sage-grouse (<em>Centrocercus urophasianus</em>) nesting and brood-rearing microhabitat in Nevada and California—Spatial variation in selection and survival patterns: U.S. Geological Survey Open-File Report 2017-1087, 79 p., https://doi.org/10.3133/ofr20171087.","productDescription":"Report: viii, 79 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-087866","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344631,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76M35BC","text":"USGS data release","description":"USGS data release","linkHelpText":"Summary statistics data for greater sage-grouse (<em>Centrocercus urophasianus</em>) nesting and brood-rearing microhabitat in Nevada and California—Spatial variation in selection and survival patterns, 2009–16"},{"id":344629,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1087/coverthb.jpg"},{"id":344630,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1087/ofr20171087.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1087"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.9,\n              34\n            ],\n            [\n              -113,\n              34\n            ],\n            [\n              -113,\n              42.25\n            ],\n            [\n              -121.9,\n              42.25\n            ],\n            [\n              -121.9,\n              34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819</p>","tableOfContents":"<ul><li>Preface<br></li><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Study Areas<br></li><li>Study Methods<br></li><li>Greater Sage-Grouse Microhabitat Findings<br></li><li>Interpretation<br></li><li>References<br></li><li>Appendixes 1–14<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-08-10","noUsgsAuthors":false,"publicationDate":"2017-08-10","publicationStatus":"PW","scienceBaseUri":"598d70b1e4b09fa1cb136f2c","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":703846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":703847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricca, Mark A. mark_ricca@usgs.gov","contributorId":2400,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":703848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudko, Jonathan E.","contributorId":195531,"corporation":false,"usgs":true,"family":"Dudko","given":"Jonathan E.","affiliations":[],"preferred":false,"id":703849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prochazka, Brian G. bprochazka@usgs.gov","contributorId":147020,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian G.","email":"bprochazka@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":703850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Espinosa, Shawn P.","contributorId":48298,"corporation":false,"usgs":true,"family":"Espinosa","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":703851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":703852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delehanty, David J.","contributorId":80811,"corporation":false,"usgs":true,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":703853,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70189286,"text":"ofr20171089 - 2017 - Hierarchical population monitoring of greater sage-grouse (<em>Centrocercus urophasianus</em>) in Nevada and California—Identifying populations for management at the appropriate spatial scale","interactions":[],"lastModifiedDate":"2017-12-27T14:59:13","indexId":"ofr20171089","displayToPublicDate":"2017-08-10T00:00:00","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":"2017-1089","title":"Hierarchical population monitoring of greater sage-grouse (<em>Centrocercus urophasianus</em>) in Nevada and California—Identifying populations for management at the appropriate spatial scale","docAbstract":"<p class=\"p1\">Population ecologists have long recognized the importance of ecological scale in understanding processes that guide observed demographic patterns for wildlife species. However, directly incorporating spatial and temporal scale into monitoring strategies that detect whether trajectories are driven by local or regional factors is challenging and rarely implemented. Identifying the appropriate scale is critical to the development of management actions that can attenuate or reverse population declines. We describe a novel example of a monitoring framework for estimating annual rates of population change for greater sage-grouse (<i>Centrocercus urophasianus</i>) within a hierarchical and spatially nested structure. Specifically, we conducted Bayesian analyses on a 17-year dataset (2000–2016) of lek counts in Nevada and northeastern California to estimate annual rates of population change, and compared trends across nested spatial scales. We identified leks and larger scale populations in immediate need of management, based on the occurrence of two criteria: (1) crossing of a <i>destabilizing threshold </i>designed to identify significant rates of population decline at a particular nested scale; and (2) crossing of <i>decoupling thresholds </i>designed to identify rates of population decline at smaller scales that decouple from rates of population change at a larger spatial scale. This approach establishes how declines affected by local disturbances can be separated from those operating at larger scales (for example, broad-scale wildfire and region-wide drought). Given the threshold output from our analysis, this adaptive management framework can be implemented readily and annually to facilitate responsive and effective actions for sage-grouse populations in the Great Basin. The rules of the framework can also be modified to identify populations responding positively to management action or demonstrating strong resilience to disturbance. Similar hierarchical approaches might be beneficial for other species occupying landscapes with heterogeneous disturbance and climatic regimes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171089","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Coates, P.S., Prochazka, B.G., Ricca, M.A., Wann, G.T., Aldridge, C.L., Hanser, S.E., Doherty, K.E., O’Donnell, M.S., Edmunds, D.R., and, Espinosa, S.P., 2017, Hierarchical population monitoring of greater sage-grouse (<em>Centrocercus urophasianus</em>) in Nevada and California—Identifying populations for management at the appropriate spatial scale: U.S. Geological Survey Open-File Report 2017-1089, 49 p., https://doi.org/10.3133/ofr20171089.","productDescription":"viii, 49 p.","onlineOnly":"Y","ipdsId":"IP-087898","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344634,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1089/ofr20171089.pdf","text":"Report","size":"15.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1089"},{"id":344633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1089/coverthb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.9,\n              34\n            ],\n            [\n              -113,\n              34\n            ],\n            [\n              -113,\n              42.25\n            ],\n            [\n              -121.9,\n              42.25\n            ],\n            [\n              -121.9,\n              34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819</p>","tableOfContents":"<ul><li>Preface<br></li><li>Acknowledgments&nbsp;<br></li><li>Abstract<br></li><li>Synopsis<br></li><li>Introduction<br></li><li>Study Objectives<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Conclusion<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-08-10","noUsgsAuthors":false,"publicationDate":"2017-08-10","publicationStatus":"PW","scienceBaseUri":"598d70b1e4b09fa1cb136f28","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":703927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prochazka, Brian G. bprochazka@usgs.gov","contributorId":147020,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian G.","email":"bprochazka@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":703928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricca, Mark A. mark_ricca@usgs.gov","contributorId":2400,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":703929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wann, Gregory T.","contributorId":48492,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":703930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":703931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":127554,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":703932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doherty, Kevin 0000-0003-3635-7346","orcid":"https://orcid.org/0000-0003-3635-7346","contributorId":176149,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":703933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":703934,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edmunds, David R.","contributorId":195533,"corporation":false,"usgs":true,"family":"Edmunds","given":"David R.","affiliations":[],"preferred":false,"id":703935,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Espinosa, Shawn P.","contributorId":48298,"corporation":false,"usgs":true,"family":"Espinosa","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":703936,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70188596,"text":"ofr20171071 - 2017 - A projection of lesser prairie chicken (<em>Tympanuchus pallidicinctus</em>) populations range-wide","interactions":[],"lastModifiedDate":"2017-08-09T16:18:22","indexId":"ofr20171071","displayToPublicDate":"2017-08-09T00:00:00","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":"2017-1071","title":"A projection of lesser prairie chicken (<em>Tympanuchus pallidicinctus</em>) populations range-wide","docAbstract":"<p class=\"p1\">We built a population viability analysis (PVA) model to predict future population status of the lesser prairie-chicken (<i>Tympanuchus pallidicinctus</i>, LEPC) in four ecoregions across the species’ range. The model results will be used in the U.S. Fish and Wildlife Service's (FWS) Species Status Assessment (SSA) for the LEPC. Our stochastic projection model combined demographic rate estimates from previously published literature with demographic rate estimates that integrate the influence of climate conditions. This LEPC PVA projects declining populations with estimated population growth rates well below 1 in each ecoregion regardless of habitat or climate change. These results are consistent with estimates of LEPC population growth rates derived from other demographic process models. Although the absolute magnitude of the decline is unlikely to be as low as modeling tools indicate, several different lines of evidence suggest LEPC populations are declining.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171071","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Cummings, J.W., Converse, S.J., Moore, C.T., Smith, D.R., Nichols, C.T., Allan, N.L., and O'Meilia, C.M., 2017, A projection of lesser prairie chicken (<em>Tympanuchus pallidicinctus</em>) populations range-wide: U.S. Geological Survey Open-File Report 2017-1071, 60 p., https://doi.org/10.3133/ofr20171071.","productDescription":"vi, 60 p.","onlineOnly":"Y","ipdsId":"IP-087040","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":343047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1071/coverthb.jpg"},{"id":343048,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1071/ofr20171071.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1071"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.99609375,\n              32.045332838858506\n            ],\n            [\n              -98.3056640625,\n              32.045332838858506\n            ],\n            [\n              -98.3056640625,\n              39.436192999314095\n            ],\n            [\n              -105.99609375,\n              39.436192999314095\n            ],\n            [\n              -105.99609375,\n              32.045332838858506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Leader, <a href=\"https://www.coopunits.org/Washington/\" target=\"blank\" data-mce-href=\"https://www.coopunits.org/Washington/\">Washington Cooperative Fish and Wildlife Research Unit</a><br> U.S. Geological Survey<br> Fishery Sciences Building, Box 355020<br> University of Washington<br> Seattle, Washington, 98195</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Lesser Prairie-Chicken Life Cycle<br></li><li>Lesser Prairie-Chicken Demographic Rates<br></li><li>Predictive Population Model<br></li><li>Future Scenarios<br></li><li>Sensitivity Analyses<br></li><li>Results<br></li><li>Discussion<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendixes A–D<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-08-09","noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"598c1f40e4b09fa1cb0ffefe","contributors":{"authors":[{"text":"Cummings, Jonathan W.","contributorId":193706,"corporation":false,"usgs":true,"family":"Cummings","given":"Jonathan W.","affiliations":[],"preferred":false,"id":698500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":698498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":698499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David R.","contributorId":173756,"corporation":false,"usgs":false,"family":"Smith","given":"David R.","affiliations":[],"preferred":false,"id":698501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Clay T.","contributorId":193024,"corporation":false,"usgs":false,"family":"Nichols","given":"Clay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":698503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allan, Nathan L.","contributorId":193025,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":698504,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Meilia, Chris M.","contributorId":193023,"corporation":false,"usgs":false,"family":"O’Meilia","given":"Chris","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":698502,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70190014,"text":"ofr20171101 - 2017 - Synthesis of downstream fish passage information at projects owned by the U.S. Army Corps of Engineers in the Willamette River Basin, Oregon","interactions":[],"lastModifiedDate":"2017-08-28T13:02:58","indexId":"ofr20171101","displayToPublicDate":"2017-08-07T00:00:00","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":"2017-1101","title":"Synthesis of downstream fish passage information at projects owned by the U.S. Army Corps of Engineers in the Willamette River Basin, Oregon","docAbstract":"<p class=\"p1\">The U.S. Army Corps of Engineers (USACE) operates the Willamette Valley Project (Project) in northwestern Oregon, which includes a series of dams, reservoirs, revetments, and fish hatcheries. Project dams were constructed during the 1950s and 1960s on rivers that supported populations of spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>), winter steelhead (<i>O. mykiss</i>), and other anadromous fish species in the Willamette River Basin. These dams, and the reservoirs they created, negatively affected anadromous fish populations. Efforts are currently underway to improve passage conditions within the Project and enhance populations of anadromous fish species. Research on downstream fish passage within the Project has occurred since 1960 and these efforts are documented in numerous reports and publications. These studies are important resources to managers in the Project, so the USACE requested a synthesis of existing literature that could serve as a resource for future decision-making processes. In 2016, the U.S. Geological Survey conducted an extensive literature review on downstream fish passage studies within the Project. We identified 116 documents that described studies conducted during 1960–2016. Each of these documents were obtained, reviewed, and organized by their content to describe the state-of-knowledge within four subbasins in the Project, which include the North Santiam, South Santiam, McKenzie, and Middle Fork Willamette Rivers. In this document, we summarize key findings from various studies on downstream fish passage in the Willamette Project. Readers are advised to review specific reports of interest to insure that study methods, results, and additional considerations are fully understood.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171101","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Hansen, A.C., Kock, T.J., and Hansen, G.S., 2017, Synthesis of downstream fish passage information at projects owned by the U.S. Army Corps of Engineers in the Willamette River Basin, Oregon: U.S. Geological Survey Open File Report 2017-1101, 118 p., https://doi.org/10.3133/ofr20171101.","productDescription":"viii, 118 p.","onlineOnly":"Y","ipdsId":"IP-084048","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":344627,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1101/coverthb.jpg"},{"id":344628,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1101/ofr20171101.pdf","text":"Report","size":"14.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1101"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.431396484375,\n              44.11125397357155\n            ],\n            [\n              -121.4208984375,\n              44.11125397357155\n            ],\n            [\n              -121.4208984375,\n              45.537136680398596\n            ],\n            [\n              -123.431396484375,\n              45.537136680398596\n            ],\n            [\n              -123.431396484375,\n              44.11125397357155\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>North Santiam River Subbasin<br></li><li>South Santiam River Subbasin<br></li><li>McKenzie River Subbasin<br></li><li>Middle Fork Willamette River Subbasin<br></li><li>Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendixes A–B<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-08-07","noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"59897c13e4b09fa1cb0c2bf9","contributors":{"authors":[{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":707174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":707175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gabriel S. 0000-0001-6272-3632 ghansen@usgs.gov","orcid":"https://orcid.org/0000-0001-6272-3632","contributorId":3422,"corporation":false,"usgs":true,"family":"Hansen","given":"Gabriel","email":"ghansen@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":707176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189168,"text":"ofr20171083 - 2017 - Barrier island habitat map and vegetation survey—Dauphin Island, Alabama, 2015","interactions":[],"lastModifiedDate":"2017-08-04T15:01:34","indexId":"ofr20171083","displayToPublicDate":"2017-08-04T00:00:00","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":"2017-1083","title":"Barrier island habitat map and vegetation survey—Dauphin Island, Alabama, 2015","docAbstract":"<p>Barrier islands are dynamic environments due to their position at the land-sea interface. Storms, waves, tides, currents, and relative sea-level rise are powerful forces that shape barrier island geomorphology and habitats (for example, beach, dune, marsh, and forest). Hurricane Katrina in 2005 and the Deep Water Horizon oil spill in 2010 are two major events that have affected habitats and natural resources on Dauphin Island, Alabama. The latter event prompted a collaborative effort between the U.S. Geological Survey, the U.S. Army Corps of Engineers, and the State of Alabama funded by the National Fish and Wildlife Foundation to investigate viable, sustainable restoration options that protect and restore the natural resources of Dauphin Island, Alabama.</p><p>In order to understand the feasibility and sustainability of various restoration scenarios, it is important to understand current conditions on Dauphin Island. To further this understanding, a detailed 19-class habitat map for Dauphin Island was produced from 1-foot aerial infrared photography collected on December 4, 2015, and lidar data collected in January 2015. We also conducted a ground survey of habitat types, vegetation community structure, and elevations in November and December 2015. These products provide baseline data regarding the ecological and general geomorphological attributes of the area, which can be compared with observations from other dates for tracking changes over time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171083","collaboration":"Prepared in collaboration with the U.S. Army Corps of Engineers","usgsCitation":"Enwright, N.M., Borchert, S.M., Day, R.H., Feher, L.C., Osland, M.J., Wang, Lei, and Wang, Hongqing, 2017, Barrier island habitat map and vegetation survey—Dauphin Island, Alabama, 2015: U.S. Geological Survey Open-File Report 2017–1083, 17 p., https://doi.org/10.3133/ofr20171083.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-087262","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":344579,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7513WPC","text":"USGS - Data Release","description":"USGS Data Release","linkHelpText":"Barrier island habitat map and vegetation survey, Dauphin Island, AL, 2015"},{"id":344578,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1083/ofr20171083.pdf","size":"2.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1083"},{"id":344577,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1083/coverthb.jpg"}],"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              -88.37127685546875,\n             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Cited<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-08-04","noUsgsAuthors":false,"publicationDate":"2017-08-04","publicationStatus":"PW","scienceBaseUri":"59858808e4b05ba66e9ea2a1","contributors":{"authors":[{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":703330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchert, Sinéad M. 0000-0002-6665-7115","orcid":"https://orcid.org/0000-0002-6665-7115","contributorId":193278,"corporation":false,"usgs":false,"family":"Borchert","given":"Sinéad M.","affiliations":[],"preferred":false,"id":703331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":703332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":703333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":703334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":703335,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":703336,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188747,"text":"ofr20171072 - 2017 - Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","interactions":[],"lastModifiedDate":"2017-08-04T14:35:14","indexId":"ofr20171072","displayToPublicDate":"2017-08-03T17:25:00","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":"2017-1072","displayTitle":"Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","title":"Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","docAbstract":"<p>The U.S. Army Garrison Fort Carson (AGFC) and the Piñon Canyon Maneuver Site (PCMS) are facilities operated by the U.S. Department of the Army in southern Colorado. The U.S. Geological Survey, in cooperation with the U.S. Department of the Army, established a hydrologic and water-quality data-collection network at the AGFC in June 1978 and at the PCMS in October 1982. The data-collection networks are designed to assess the quantity and quality of water resources and monitor the effects of military training activities on streamflow and water quality. Two preexisting U.S. Geological Survey streamgages at the PCMS were incorporated into the data-collection network at the time it was established, providing periods of record that begin as early as 1966. This report presents and summarizes precipitation, streamflow, suspended-sediment, and water-quality data from 34 U.S. Geological Survey sites on or near the AGFC and the PCMS for the period of record at each site. (Streamflow data are presented as discharge in cubic feet per second.)</p><p>At AGFC, daily sum precipitation ranged from 0 to 11.85 inches, daily mean discharge ranged from 0 to 836 cubic feet per second, and daily mean suspended-sediment discharge ranged from 0 to 39,900 tons per day. With the exception of total (unfiltered) mercury and filtered sulfate at two sites and filtered manganese at three sites, 95th percentile trace element concentrations and median total (unfiltered) metal concentrations were less than regulatory numeric standards for all samples. However, individual water-quality results occasionally exceeded respective regulatory numeric standards.</p><p>At the PCMS, daily sum precipitation ranged from 0 to 4.59 inches, daily mean discharge ranged from 0 to 4,190 cubic feet per second, and daily mean suspended-sediment discharge ranged from 0 to 21,100 tons per day. Water-quality results, 95th percentile trace element concentrations, and median total (unfiltered) metal concentrations were less than regulatory numeric standards for most properties and constituents except for filtered chloride at one site, filtered sulfate at six sites, filtered&nbsp;phosphorus at one site, filtered manganese at three sites, and total (unfiltered) iron at three sites. Individual water-quality values also occasionally exceeded respective regulatory numeric standards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171072","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Arnold, L.R., 2017, Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015: U.S. Geological Survey Open-File Report 2017–1072, 130 p., https://doi.org/10.3133/ofr20171072.","productDescription":"v, 129 p.","onlineOnly":"Y","ipdsId":"IP-086258","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":344560,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1072/ofr20171072.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1072"},{"id":344559,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1072/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Piñon Canyon Maneuver Site, U.S. Army Garrison Fort Carson","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.05,\n              38.77\n            ],\n            [\n              -104.59,\n              38.77\n            ],\n            [\n              -104.59,\n              38.4\n            ],\n            [\n              -105.05,\n              38.4\n            ],\n            [\n              -105.05,\n              38.77\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://co.water.usgs.gov/\" data-mce-href=\"http://co.water.usgs.gov/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Hydrologic Data</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Daily Sum Precipitation for the Period of Record for Selected Sites at U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado</li><li>Appendix 2. Daily Mean Discharge for the Period of Record for Selected Sites at U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado</li><li>Appendix 3. Daily Mean Suspended-Sediment Discharge for the Period of Record for Selected Sites at U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado</li><li>Appendix 4. Selected Water-Quality Data for the Period of Record for Selected Sites at U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-08-03","noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59843642e4b0e2f5d466536c","contributors":{"authors":[{"text":"Arnold, L. R.","contributorId":92738,"corporation":false,"usgs":true,"family":"Arnold","given":"L.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":699639,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189169,"text":"ofr20171081 - 2017 - Report from the Workshop on Coregonine Restoration Science","interactions":[],"lastModifiedDate":"2017-08-28T13:11:52","indexId":"ofr20171081","displayToPublicDate":"2017-08-03T10:00:00","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":"2017-1081","title":"Report from the Workshop on Coregonine Restoration Science","docAbstract":"<h1>Summary</h1><p>Great Lakes fishery managers have the opportunity and have expressed interest in reestablishing a native forage base in the Great Lakes consisting of various forms and species within the genus <i>Coregonus</i>. This report summarizes the proceedings of a workshop focused on a subset of the genus, and the term “coregonines” is used to refer to several species of deepwater ciscoes (also known as “chubs”) and the one more pelagic-oriented cisco species (<i>Coregonus artedi</i>, also known as “lake herring”). As the principal conservation agency for the United States Government, the Department of Interior has unique and significant authorities and capacities to support a coregonine reestablishment program in the Great Lakes. To identify and discuss key uncertainties associated with such a program and develop a coordinated approach, the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (FWS), the principal Department of the Interior bureaus to address Great Lakes fishery issues, held the first of a series of workshops on coregonine science in Ann Arbor, Michigan, on October 11–13, 2016. Workshop objectives were to identify (1) perceived key uncertainties associated with coregonine restoration in the Great Lakes and (2) DOI capacities for addressing these key uncertainties.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171081","usgsCitation":"Bronte, C.R., Bunnell, D.B., David, S.R., Gordon, Roger, Gorsky, Dimitry, Millard, M.J., Read, Jennifer, Stein, R.A., and Vaccaro, Lynn, 2017, Report from the Workshop on Coregonine Restoration Science: U.S. Geological Survey Open-File Report 2017–1081, 23 p., https://doi.org/10.3133/ofr20171081.","productDescription":"vi, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087856","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":344507,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1081/ofr20171081.pdf","text":"Report","size":"902 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1081"},{"id":344506,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1081/coverthb.jpg"}],"publicComments":"Convened by the Coregonid Steering Committee, with membership from U.S. Fish and Wildlife Service and U.S. Geological Survey, on October 11–13, 2016","contact":"<p><a href=\"mailto:dc_mi@usgs.gov&quot;\" data-mce-href=\"mailto:dc_mi@usgs.gov&quot;\">Director</a>, <a href=\"https://www.glsc.usgs.gov/\" data-mce-href=\"https://www.glsc.usgs.gov/\">Great Lakes Science Center</a><br> U.S. Geological Survey<br> 1451 Green Rd.<br> Ann Arbor, MI 48105</p>","tableOfContents":"<ul><li>Foreword&nbsp;</li><li>Acknowledgments&nbsp;</li><li>Workshop Introduction</li><li>Theme I. Setting the Stage&nbsp;</li><li>Theme II. Genetics</li><li>Theme III. Ecology</li><li>Theme IV. Propagation&nbsp;</li><li>References Cited</li><li>Appendix 1:&nbsp;Team Charter</li><li>Appendix 2:&nbsp;Workshop Agenda</li><li>Appendix 3:&nbsp;Workshop Participants&nbsp;</li><li>Appendix 4:&nbsp;Summary of Participant Feedback Survey</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-08-03","noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59843643e4b0e2f5d4665374","contributors":{"authors":[{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":703338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":703337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"David, Solomon R. sdavid@usgs.gov","contributorId":194164,"corporation":false,"usgs":true,"family":"David","given":"Solomon","email":"sdavid@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":703339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Roger","contributorId":194165,"corporation":false,"usgs":false,"family":"Gordon","given":"Roger","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":703340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":703341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":703342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Read, Jennifer","contributorId":140055,"corporation":false,"usgs":false,"family":"Read","given":"Jennifer","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":703343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stein, Roy A.","contributorId":194167,"corporation":false,"usgs":false,"family":"Stein","given":"Roy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vaccaro, Lynn","contributorId":140056,"corporation":false,"usgs":false,"family":"Vaccaro","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":703345,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70188204,"text":"ofr20171066 - 2017 - Suspended-sediment loads in the lower Stillaguamish River, Snohomish County, Washington, 2014–15","interactions":[],"lastModifiedDate":"2017-09-08T11:09:10","indexId":"ofr20171066","displayToPublicDate":"2017-08-03T00:00:00","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":"2017-1066","title":"Suspended-sediment loads in the lower Stillaguamish River, Snohomish County, Washington, 2014–15","docAbstract":"<p>Continuous records of discharge and turbidity at a U.S. Geological Survey (USGS) streamgage in the lower Stillaguamish River were paired with discrete measurements of suspended-sediment concentration (SSC) in order to estimate suspended-sediment loads over the water years 2014 and 2015. First, relations between turbidity and SSC were developed and used to translate the continuous turbidity record into a continuous estimate of SSC. Those concentrations were then used to predict suspended-sediment loads based on the current discharge record, reported at daily intervals. Alternative methods were used to in-fill a small number of days with either missing periods of turbidity or discharge records. Uncertainties in our predictions at daily and annual time scales were estimated based on the parameter uncertainties in our turbidity-SSC regressions. Daily loads ranged from as high as 121,000 tons during a large autumn storm to as low as –56 tons, when tidal return flow moved more sediment upstream than river discharge did downstream. Annual suspended-sediment loads for both water years were close to 1.4 ± 0.2 million tons.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171066","usgsCitation":"Anderson, S.W., Curran, C.A., and Grossman, E.E., 2017, Suspended-sediment loads in the lower Stillaguamish River, Snohomish County, Washington, 2014–15: U.S. Geological Survey Open-File Report 2017–1066, 10 p., https://doi.org/10.3133/ofr20171066.","productDescription":"Report: iv, 10 p.; Table","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085882","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":344567,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1066/coverthb.jpg"},{"id":344568,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1066/ofr2017.1066.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1066"},{"id":344569,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2017/1066/ofr20171066_table03.xlsx","text":"Table 3","size":"46 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1066"}],"country":"United States","state":"Washington","county":"Snohomish County","otherGeospatial":"Lower Stillaguamish River","contact":"<p>Director, <br><a href=\"http://wa.water.usgs.gov\" data-mce-href=\"http://wa.water.usgs.gov\">Washington Water Science Center</a><br><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>934 Broadway, Suite 300<br>Tacoma, Washington 98402<br></p>","tableOfContents":"<ul><li>Abstract&nbsp;<br></li><li>Introduction&nbsp;<br></li><li>Discharge and Turbidity&nbsp;<br></li><li>Sediment Data&nbsp;<br></li><li>Model Development and Summary&nbsp;<br></li><li>Estimating Suspended-Sediment Load<br></li><li>Estimating Uncertainty&nbsp;<br></li><li>Results&nbsp;<br></li><li>Summary&nbsp;<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-08-03","noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59843648e4b0e2f5d46653a3","contributors":{"authors":[{"text":"Anderson, Scott A. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":150073,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":696987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":140908,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":696989,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189156,"text":"ofr20171079 - 2017 - Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean","interactions":[],"lastModifiedDate":"2017-08-28T13:20:56","indexId":"ofr20171079","displayToPublicDate":"2017-07-31T17:35:00","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":"2017-1079","title":"Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean","docAbstract":"<p>This report describes the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Latin America and the Caribbean. The report includes an overview of data sources and an explanation of the geospatial PDF map format.</p><p>The geodatabase and geospatial data layers described in this report create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains additional data layers from USGS, foreign governmental, and open-source sources as follows: (1) coal occurrence areas, (2) electric power generating facilities, (3) electric power transmission lines, (4) hydrocarbon resource cumulative production data, (5) liquefied natural gas terminals, (6) oil and gas concession leasing areas, (7) oil and gas field center points, (8) oil and gas pipelines, (9) USGS petroleum provinces, (10) railroads, (11) recoverable proven plus probable hydrocarbon resources, (12) major cities, (13) major rivers, and (14) undiscovered porphyry copper tracts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171079","collaboration":"Prepared in cooperation with the Inter-American Development Bank","usgsCitation":"Baker, M.S., Buteyn, S.D., Freeman, P.A., Trippi, M.H., and Trimmer, L.M., III, 2017, Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean: U.S. Geological Survey Open-File Report 2017–1079, 87 p., 1 geodatabase and 1 geospatial PDF map, https://doi.org/10.3133/ofr20171079. ","productDescription":"Report: xi, 87 p; 3 Data Releases; Geodatabase and Metadata; Map: 8.5 x 11.0 inches","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078672","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":438258,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BZ6460","text":"USGS data release","linkHelpText":"Mineral commodity exporting ports of Latin America and the Caribbean"},{"id":344263,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/58093603e4b0f497e78f3f31","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral commodity exporting ports of Latin America and the Caribbean"},{"id":344257,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1079/coverthb.jpg"},{"id":344258,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079.pdf","text":"Report","size":"4.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1079"},{"id":344259,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079_lac-indust-infra.pdf","text":"Geospatial Map","size":"29 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Compilation of Geospatial Data for the Mineral Industries and Related Infrastructure of Latin America and   the Caribbean"},{"id":344260,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079_lac-indust-infra.zip","text":"Geodatabase and metadata","size":"28.7 MB","linkFileType":{"id":6,"text":"zip"}},{"id":344261,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MM6","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral facilities of Latin America and the Caribbean"},{"id":344262,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GQ6VWG","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral exploration sites of Latin America and the Caribbean"}],"otherGeospatial":"Caribbean, Latin America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.828125,\n              -57.51582286553883\n            ],\n            [\n              -29.179687499999996,\n              -57.51582286553883\n            ],\n            [\n              -29.179687499999996,\n              34.30714385628804\n            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transportation infrastructure&nbsp;in Brazil’s Iron Quadrangle&nbsp;</li><li>Appendix 3—Case study 2: Bauxite mining and alumina production in Jamaica</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-07-31","noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"59804197e4b0a38ca278931d","contributors":{"authors":[{"text":"Baker, Michael S. 0000-0003-2507-3436 mbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-2507-3436","contributorId":176214,"corporation":false,"usgs":true,"family":"Baker","given":"Michael S.","email":"mbaker@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":703257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buteyn, Spencer D. 0000-0002-8620-4973 sbuteyn@usgs.gov","orcid":"https://orcid.org/0000-0002-8620-4973","contributorId":194119,"corporation":false,"usgs":true,"family":"Buteyn","given":"Spencer","email":"sbuteyn@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":703258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":703259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trippi, Michael H. 0000-0002-1398-3427 mtrippi@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-3427","contributorId":941,"corporation":false,"usgs":true,"family":"Trippi","given":"Michael","email":"mtrippi@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trimmer, Loyd M. III 0000-0003-4121-7874 ltrimmer@usgs.gov","orcid":"https://orcid.org/0000-0003-4121-7874","contributorId":194120,"corporation":false,"usgs":true,"family":"Trimmer","given":"Loyd","suffix":"III","email":"ltrimmer@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":703261,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189830,"text":"ofr20171098 - 2017 - Mapping the change of <i>Phragmites australis</i> live biomass in the lower Mississippi River Delta marshes","interactions":[],"lastModifiedDate":"2017-07-31T13:17:53","indexId":"ofr20171098","displayToPublicDate":"2017-07-28T14:00:00","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":"2017-1098","title":"Mapping the change of <i>Phragmites australis</i> live biomass in the lower Mississippi River Delta marshes","docAbstract":"<p>Multiyear remote sensing mapping of the normalized difference vegetation index (NDVI) was carried out as an indicator of live biomass composition of the <i>Phragmites australis</i> (hereafter <i>Phragmites</i>) marsh in the lower Mississippi River Delta (hereafter delta) from 2014 to 2017. Maps of NDVI change showed that the <i>Phragmites</i> condition was fairly stable between May 2014 and July 2015. From July 2015 to April 2016 NDVI change indicated <i>Phragmites</i> suffered a widespread decline in the live biomass proportion. &nbsp;Between April and September 2016, most marsh remained unchanged from the earlier period or showed improvement; although there were pockets of continued decline scattered throughout the lower delta. From September 2016 to May 2017 a pronounced and widely exhibited decline in the condition of <i>Phragmites</i> marsh again occurred throughout the lower delta. This final NDVI change mapping supported field observations of <i>Phragmites</i> decline during the same period.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171098","usgsCitation":"Ramsey, E.W., III, and Rangoonwala, Amina, 2017, Mapping the change of <i>Phragmites australis</i> live biomass in the lower Mississippi River Delta marshes: U.S. Geological Survey Open-File Report 2017–1098, https://doi.org/10.3133/ofr20171098.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-088917","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":344420,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1098/","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2017-1098 HTML"},{"id":344433,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1098/images/coverthb.png"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lower Mississippi River delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.5,\n              29.5\n            ],\n            [\n              -89,\n              29.5\n            ],\n            [\n              -89,\n              28.9\n            ],\n            [\n              -89.5,\n              28.9\n            ],\n            [\n              -89.5,\n              29.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\" data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\">Wetland and Aquatic Research Center</a><br>U.S. Geological Survey<br>700 Cajundome Blvd.<br>Lafayette, LA 70506</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results and Discussion<br></li><li>Summary<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-07-28","noUsgsAuthors":false,"publicationDate":"2017-07-28","publicationStatus":"PW","scienceBaseUri":"597c4d1be4b0a38ca2766c4d","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":706490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":706491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}