{"pageNumber":"1089","pageRowStart":"27200","pageSize":"25","recordCount":165485,"records":[{"id":70169339,"text":"70169339 - 2016 - Passage of downstream migrant American eels through an airlift-assisted deep bypass","interactions":[],"lastModifiedDate":"2016-03-25T10:21:54","indexId":"70169339","displayToPublicDate":"2016-03-24T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Passage of downstream migrant American eels through an airlift-assisted deep bypass","docAbstract":"<p><span>Traditional downstream guidance and bypass facilities for anadromous fishes (i.e., surface bypasses, surface guidance structures, and behavioral barriers) have frequently been ineffective for anguillid eels. Because eels typically spend the majority of their time near the bottom in the vicinity of intake structures, deep bypass structures with entrances near the bottom hold promise for increased effectiveness, thereby aiding in the recovery of this important species. A new design of a deep bypass system that uses airlift technology (the Conte Airlift Bypass) to induce flow in a bypass pipe was tested in a simulated intake entrance environment under controlled laboratory conditions. Water velocities of 0.9&ndash;1.5&nbsp;m&nbsp;s</span><sup>&minus;1</sup><span>&nbsp;could be generated at the bypass entrance (opening with 0.073&nbsp;m</span><sup>2</sup><span>&nbsp;area), with corresponding flows through the bypass pipe of 0.07&ndash;0.11&nbsp;m</span><sup>3</sup><span>&nbsp;s</span><sup>&minus;1</sup><span>. Gas saturation and hydrostatic pressure within the bypass pipe did not vary appreciably from a control (no air) condition under tested airflows. Migratory silver-phase American eels (</span><i>Anguilla rostrata</i><span>) tested during dark conditions readily located, entered, and passed through the bypass; initial avoidance rates (eels approaching but not entering the bypass entrance) were lower at higher entrance velocities. Eels that investigated the bypass pipe entrance tended to enter headfirst, but those that then exited the pipe upstream did so more frequently at lower entrance velocities. Eels appeared to swim against the flow while being transported downstream through the pipe; median transit times through the bypass for each test velocity ranged from 5.8 to 12.2&nbsp;s, with transit time decreasing with increasing entrance velocity. Eels did not show strong avoidance of the vertical section of the pipe which contained injected air. No mortality or injury of bypassed eels was observed, and individual eels repeatedly passed through the bypass at rates of up to 40 passes per hour, suggesting that individuals do not avoid repeated entrainment through the bypass. Airlift technology appears to be a viable method for increasing passage effectiveness for American eels through a deep bypass system.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecoleng.2016.02.028","collaboration":"None","usgsCitation":"Haro, A.J., Watten, B.J., and Noreika, J., 2016, Passage of downstream migrant American eels through an airlift-assisted deep bypass: Ecological Engineering, v. 91, p. 545-552, https://doi.org/10.1016/j.ecoleng.2016.02.028.","productDescription":"8 p.","startPage":"545","endPage":"552","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068556","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":319390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f66191e4b07d796bf770ca","contributors":{"authors":[{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":623845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":623846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noreika, John 0000-0002-6637-5812 jnoreika@usgs.gov","orcid":"https://orcid.org/0000-0002-6637-5812","contributorId":167858,"corporation":false,"usgs":true,"family":"Noreika","given":"John","email":"jnoreika@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":623847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169089,"text":"ofr20161025 - 2016 - California State Waters map series — Offshore of Aptos, California","interactions":[],"lastModifiedDate":"2022-04-18T21:53:25.984625","indexId":"ofr20161025","displayToPublicDate":"2016-03-23T15:00:00","publicationYear":"2016","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":"2016-1025","title":"California State Waters map series — Offshore of Aptos, California","docAbstract":"<h1>Introduction</h1>\n<p>In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California&rsquo;s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar bathymetric data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow subsurface geology.</p>\n<p>The Offshore of Aptos map area is located on the Pacific Coast, on the north side of Monterey Bay, about 105 km southeast of San Francisco. The largest incorporated city in the map area, Capitola, and numerous unincorporated towns including Aptos, lie on uplifted marine terraces between the shoreline, and the northwest-trending Santa Cruz Mountains, part of California&rsquo;s Coast Ranges. The map area includes the northernmost part of Santa Cruz Harbor, and Moss Landing Harbor is located about 10 km south of the map area. The offshore part of the map area is entirely within California&rsquo;s State Waters and is also part of the Monterey Bay National Marine Sanctuary. In the southern part of the map area, the Soquel Canyon State Marine Conservation Area extends eastward from the limit of California&rsquo;s State Waters across Soquel Canyon.</p>\n<p>The Offshore of Aptos map area is on the western margin of North American Plate&mdash;the only continental margin in the world delineated largely by transform faults. The San Andreas Fault Zone cuts through the Santa Cruz Mountains just 3.5 km northeast of the map area. The San Gregorio Fault Zone, another major plate-boundary structure, cuts through Monterey Canyon about 13 km southwest of the map area. Ongoing deformation associated with and between these major fault zones has uplifted the Santa Cruz Mountains and formed well-developed sets of marine terraces that characterize almost the entire coastal zone of the map area.</p>\n<p>The offshore part of the map area consists of relatively flat and shallow continental shelf which is underlain by variable amounts (0 to 30 m) of upper Quaternary shelf, estuarine, and fluvial sediments deposited as sea level fluctuated in the late Pleistocene. Along the southern edge of the map area, the shelf is incised by the head of Soquel Canyon, a northeast-trending tributary to the west-trending Monterey Canyon. During the last sea-level lowstand (the Last Glacial Maximum [LGM], about 21,000 years ago) Soquel Creek flowed through a paleochannel across the emergent shelf into the head of Soquel Canyon. This canyon was disconnected from its onshore watershed during the post-LGM sea-level rise of about 125 m; the abandoned paleochannel was subsequently filled with marine sediment. Coastal sediment in the Offshore of Aptos map area is supplied by coastal watersheds and bluff erosion. Sediment transport in this part of the Santa Cruz littoral cell is primarily from the northwest to the southeast and terminates in the submarine Monterey Canyon. Longshore drift is impeded by jetties at Santa Cruz Harbor, resulting in high beach erosion rates east of the harbor. Sediment dredged from the harbor mouth (estimated 300,000 yds<sup>3</sup>/yr) is currently being used to nourish beaches directly to the east. Farther downcoast, the rapidly eroding beach at Capitola was stabilized by construction of an about 75-m-long groin.</p>\n<p>This part of central California is exposed to large North Pacific swells from the northwest throughout the year. North Pacific swell heights range from 2 to 10 meters, with larger swells occurring from October to May. During El Ni&ntilde;o-Southern Oscillation (ENSO) events, winter storms track farther south than they do in normal (non-ENSO) years, thereby impacting the map area more frequently and with waves of larger heights. Bedrock exposed in coastal cliffs is relatively erosion-resistant, and significant erosional events primarily are restricted to storm-wave activity that also erodes the overlying unconsolidated marine-terrace sediments.</p>\n<p>The Offshore of Aptos map area lies within the cold-temperate biogeographic zone that is called either the &ldquo;Oregonian&rdquo; province or the &ldquo;northern California ecoregion.&rdquo; This biogeographic province is maintained by the long-term stability of the southward-flowing California Current, the eastern limb of the North Pacific subtropical gyre that flows from southern British Columbia to Baja California. At its midpoint off central California, the California Current transports subarctic surface (0&ndash;500 m deep) waters southward, about 150 to 1,300 km from shore. Seasonal northwesterly winds that are, in part, responsible for the California Current, generate coastal upwelling. The south end of the Oregonian province is at Point Conception (about 310 km southeast of the map area), although its associated phylogeographic group of marine fauna may extend beyond to the area offshore of Los Angeles in southern California. The ocean off of central California has experienced a warming over the last 50 years that is driving an ecosystem shift away from the productive subarctic regime towards a depopulated subtropical environment.</p>\n<p>Seafloor habitats in the Offshore of Aptos map area lie within the &ldquo;Shelf&rdquo; Megahabitat class and include patchy rocky habitats, gravel-rich scour depressions, minor bedrock habitat, and predominantly sandy inner shelf. Sandy shelf habitats grade offshore to mud-dominated habitats on the midshelf in deeper water. Biological productivity resulting from coastal upwelling supports populations of Sooty Shearwater, Western Gull, Common Murre, Cassin&rsquo;s Auklet, and many other less populous bird species. In addition, an observable recovery of Humpback and Blue Whales has occurred in the area; both species are dependent on coastal upwelling to provide nutrients. California sea lions and Pacific harbor seals are abundant in the map area. Common bottlenose dolphins are often observed very close to shore and in the surf zone. The large extent of exposed inner shelf bedrock supports large forests of &ldquo;bull kelp,&rdquo; which is well adapted for high-wave-energy environments. The kelp beds are the northernmost known habitat for the population of southern sea otters. Common fish species found in the kelp beds and rocky reefs include blue rockfish, black rockfish, olive rockfish, kelp rockfish, gopher rockfish, black-and-yellow rockfish, painted greenling, kelp greenling, and lingcod.</p>\n<p>&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20161025","usgsCitation":"Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, R.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M. (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series — Offshore of Aptos, California: U.S. Geological Survey Open-File Report 2016–1025, pamphlet 43 p., 10 sheets, scale 1:24,000, https://dx.doi.org/10.3133/ofr20161025.","productDescription":"Pamphlet: iv, 43 p.; 10 Sheets: 55.0 x 36.0 inches or smaller; Data Catalog; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059274","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438628,"rank":21,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K35RQB","text":"USGS data release","linkHelpText":"California State Waters Map Series Data Catalog--Offshore of Aptos, California"},{"id":318989,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151191","text":"Open-File Report 2015–1191,","linkHelpText":"<em>California State Waters Map Series—Offshore of Scott Creek, California</em>, by Guy R. Cochrane and others."},{"id":399015,"rank":20,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_104093.htm"},{"id":318984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1025/coverthb.jpg"},{"id":318985,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Pamphlet PDF"},{"id":318986,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_metadata.html"},{"id":318987,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7K35RQB","text":"Data Catalog","linkFileType":{"id":5,"text":"html"},"linkHelpText":"The GIS data layers for this map are accessible from “Data Catalog—Offshore of Aptos, California,” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":318988,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","linkHelpText":"California State Waters Map Series Data Catalog"},{"id":319000,"rank":17,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 8 PDF","linkHelpText":"Seismic-Reflection Profiles, Offshore of Aptos Map Area, California By Samuel Y. Johnson, Stephen R. Hartwell, and Ray W. Sliter"},{"id":318990,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151232","text":"Open-File Report 2015–1232,","linkHelpText":"<em>California State Waters Map Series—Offshore of Pigeon Point, California</em>, by Guy R. Cochrane and others."},{"id":318991,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/sim3306","text":"Scientific Investigations Map 3306,","linkHelpText":"<em>California State Waters Map Series—Offshore of San Gregorio, California</em>, by Guy R. Cochrane and others."},{"id":318992,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20141214","text":"Open-File Report 2014–1214,","linkHelpText":"<em>California State Waters Map Series—Offshore of Half Moon Bay, California</em>, by Guy R. Cochrane and others."},{"id":318993,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 1 PDF","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Aptos Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. Kvitek"},{"id":318994,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 2 PDF","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Aptos Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. Kvitek"},{"id":318995,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 3 PDF","linkHelpText":"Acoustic Backscatter, Offshore of Aptos Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. Kvitek"},{"id":318996,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 4 PDF","linkHelpText":"Data Integration and Visualization, Offshore of Aptos Map Area, California By Peter Dartnell"},{"id":318997,"rank":14,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 5 PDF","linkHelpText":"Seafloor Character, Offshore of Aptos Map Area, California By Mercedes D. Erdey and Guy R. Cochrane"},{"id":318998,"rank":15,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 6 PDF","linkHelpText":"Ground-Truth Studies, Offshore of Aptos Map Area, California By Nadine E. Golden, Guy R. Cochrane, and Lisa M. Krigsman"},{"id":318999,"rank":16,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 7 PDF","linkHelpText":"Potential Marine Benthic Habitats, Offshore of Aptos Map Area, California By Bryan E. Dieter, Charles A. Endris, H. Gary Greene, and Mercedes D. Erdey"},{"id":319001,"rank":18,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 9 PDF","linkHelpText":"Local (Offshore of Aptos Map Area) and Regional (Offshore from Pigeon Point to Southern Monterey Bay) Shallow-Subsurface Geology and Structure, California By Samuel Y. Johnson, Stephen R. Hartwell, Janet T. Watt, Ray W. Sliter, and Katherine L. Maier"},{"id":319002,"rank":19,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1025/ofr20161025_sheet10.pdf","text":"Sheet 10","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1025 Sheet 10 PDF","linkHelpText":"Offshore and Onshore Geology and Geomorphology, Offshore of Aptos Map Area, California By Samuel Y. Johnson, Stephen R. Hartwell, Clifton W. Davenport, and Katherine L. Maier"}],"scale":"24000","country":"United States","state":"California","city":"Aptos","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.03750610351564,\n              36.82687474287728\n            ],\n            [\n              -121.79580688476562,\n              36.82687474287728\n            ],\n            [\n              -121.79580688476562,\n              37.00584276741093\n            ],\n            [\n              -122.03750610351564,\n              37.00584276741093\n            ],\n            [\n              -122.03750610351564,\n              36.82687474287728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Contact Information</a><br>Pacific Coastal &amp; Marine Science Center<br>U.S. Geological Survey<br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060<br><a href=\"http://walrus.wr.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://walrus.wr.usgs.gov/\">http://walrus.wr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Chapter 1. Introduction</li><li>Chapter 2. Bathymetry and Backscatter-Intensity Maps for the Offshore of Aptos Map Area (Sheets 1, 2, and 3)</li><li>Chapter 3. Data Integration and Visualization for the Offshore of Aptos Map Area (Sheet 4)</li><li>Chapter 4. Seafloor-Character Map of the Offshore of Aptos Map Area (Sheet 5)</li><li>Chapter 5. Ground-Truth Studies for Offshore of Aptos Map Area (Sheet 6)</li><li>Chapter 6. Potential Marine Benthic Habitat of the Offshore of Aptos Map Area (Sheet 7)</li><li>Chapter 7. Subsurface Geology and Structure of the Offshore of Aptos Map Area and the Pigeon Point to Southern Monterey Bay Region (Sheets 8 and 9)</li><li>Chapter 8. Geologic and Geomorphic Map of the Offshore of Aptos Map Area (Sheet 10)</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-03-24","noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"56f50fb2e4b0f59b85e1eaaa","contributors":{"editors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":623028,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A. 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":2062,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","email":"scochran@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":623029,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greene, H. Gary","contributorId":38958,"corporation":false,"usgs":true,"family":"Greene","given":"H. 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,{"id":70169316,"text":"70169316 - 2016 - Variability of the internal tide on the southern Monterey Bay continental shelf and associated bottom boundary layer sediment transport","interactions":[],"lastModifiedDate":"2016-03-24T11:22:39","indexId":"70169316","displayToPublicDate":"2016-03-23T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Variability of the internal tide on the southern Monterey Bay continental shelf and associated bottom boundary layer sediment transport","docAbstract":"<p><span>A 6-month deployment of instrumentation from April to October 2012 in 90&nbsp;m water depth near the outer edge of the mid-shelf mud belt in southern Monterey Bay, California, reveals the importance regional upwelling on water column density structure, potentially accounting for the majority of the variability in internal tidal energy flux across the shelf. Observations consisted of time-series measurements of water-column currents, temperature and salinity, and near-bed currents and suspended matter. The internal tide accounted for 15&ndash;25% of the water-column current variance and the barotropic tide accounted for up to 35%. The subtidal flow showed remarkably little shear and was dominated by the 7&ndash;14 day band, which is associated with relaxations in the dominant equatorward winds typical of coastal California in the spring and summer. Upwelling and relaxation events resulted in strong near-bed flows and accounted for almost half of the current stress on the seafloor (not accounting for wave orbital velocities), and may have driven along-shelf geostrophic flow during steady state conditions. Several elevated suspended particulate matter (SPM) events occurred within 3&nbsp;m of the bed and were generally associated with higher, long-period surface waves. However, these peaks in SPM did not coincide with the predicted resuspension events from the modeled combined wave&ndash;current shear stress, indicating that the observed SPM at our site was most likely resuspended elsewhere and advected along-isobath. Sediment flux was almost equal in magnitude in the alongshore and cross-shore directions. Instances of wave&ndash;current shear stress that exceeded the threshold of resuspension for the silty-clays common at these water depths only occurred when near-bed orbital velocities due to long-period surface waves coincided with vigorous near-bed currents associated with the internal tide or upwelling/relaxation events. Thus upwelling/relaxation dynamics are primarily responsible for variability in the internal tide, as well as transport of near-bottom sediment in the mid-self mud belt during the relatively quiescent summer months.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Continental Shelf Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Oxford","doi":"10.1016/j.csr.2016.03.016","collaboration":"Curt D Storlazzi; Olivia M. Cheriton","usgsCitation":"Rosenberger, K.J., Storlazzi, C.D., and Cheriton, O., 2016, Variability of the internal tide on the southern Monterey Bay continental shelf and associated bottom boundary layer sediment transport: Continental Shelf Research, v. 120, p. 68-81, https://doi.org/10.1016/j.csr.2016.03.016.","productDescription":"14 p.","startPage":"68","endPage":"81","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059388","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471127,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2016.03.016","text":"Publisher Index Page"},{"id":319357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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,{"id":70169146,"text":"70169146 - 2016 - Negative effects of excessive soil phosphorus on floristic quality in Ohio wetlands","interactions":[],"lastModifiedDate":"2016-03-23T11:12:55","indexId":"70169146","displayToPublicDate":"2016-03-23T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Negative effects of excessive soil phosphorus on floristic quality in Ohio wetlands","docAbstract":"<p><span>Excessive soil nutrients, often from agricultural runoff, have been shown to negatively impact some aspects of wetland plant communities. We measured plant-available phosphorus (Mehlich-3: MeP) in soil samples, and assessed the vascular plant community and habitat degradation at 27 emergent and 13 forested wetlands in Ohio, USA. We tested two hypotheses: (1) that an index of vegetation biological integrity based on floristic quality was lower in wetlands with higher concentrations of MeP in the soil, and (2) that higher concentrations of MeP occurred in wetlands with more habitat degradation (i.e., lower quality), as estimated by a rapid assessment method. Hypothesis (1) was supported for emergent, but not for forested wetlands. Hypothesis (2) was marginally supported (</span><i>P</i><span>&nbsp;=&nbsp;0.09) for emergent, but not supported for forested wetlands. The results indicate that the effect of concentration of phosphorus in wetland soils and the quality of plant species assemblages in wetlands is more complex than shown in site-specific studies and may depend in part on degree of disturbance in the surrounding watershed and dominant wetland vegetation type. Woody plants in forested wetlands are typically longer lived than herbaceous species in the understory and emergent wetlands, and may persist despite high inputs of phosphorus. Further, the forested wetlands were typically surrounded by a wide band of forest vegetation, which may provide a barrier against sedimentation and the associated phosphorus inputs to the wetland interior. Our results indicate that inferences about soil nutrient conditions made from rapid assessment methods for assessing wetland habitat condition may not be reliable.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.02.041","usgsCitation":"Stapanian, M.A., Schumacher, W., Gara, B., and Monteith, S., 2016, Negative effects of excessive soil phosphorus on floristic quality in Ohio wetlands: Science of the Total Environment, v. 551-552, p. 556-562, https://doi.org/10.1016/j.scitotenv.2016.02.041.","productDescription":"7 p.","startPage":"556","endPage":"562","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070457","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":319211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":623211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monteith, Steve","contributorId":167706,"corporation":false,"usgs":false,"family":"Monteith","given":"Steve","email":"","affiliations":[{"id":5108,"text":"U.S. Department of Agriculture Forest Service, Rocky Mountain Research Station, Missoula, Montana 59","active":true,"usgs":false}],"preferred":false,"id":623212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169147,"text":"70169147 - 2016 - Evaluating lidar point densities for effective estimation of aboveground biomass","interactions":[],"lastModifiedDate":"2017-05-16T16:09:50","indexId":"70169147","displayToPublicDate":"2016-03-23T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5064,"text":"International Journal of Advanced Remote Sensing and GIS","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating lidar point densities for effective estimation of aboveground biomass","docAbstract":"<p><span>The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) was recently established to provide airborne lidar data coverage on a national scale. As part of a broader research effort of the USGS to develop an effective remote sensing-based methodology for the creation of an operational biomass Essential Climate Variable (Biomass ECV) data product, we evaluated the performance of airborne lidar data at various pulse densities against Landsat 8 satellite imagery in estimating above ground biomass for forests and woodlands in a study area in east-central Arizona, U.S. High point density airborne lidar data, were randomly sampled to produce five lidar datasets with reduced densities ranging from 0.5 to 8 point(s)/m</span><sup>2</sup><span>, corresponding to the point density range of 3DEP to provide national lidar coverage over time. Lidar-derived aboveground biomass estimate errors showed an overall decreasing trend as lidar point density increased from 0.5 to 8 points/m</span><sup>2</sup><span>. Landsat 8-based aboveground biomass estimates produced errors larger than the lowest lidar point density of 0.5 point/m</span><sup>2</sup><span>, and therefore Landsat 8 observations alone were ineffective relative to airborne lidar for generating a Biomass ECV product, at least for the forest and woodland vegetation types of the Southwestern U.S. While a national Biomass ECV product with optimal accuracy could potentially be achieved with 3DEP data at 8 points/m</span><sup>2</sup><span>, our results indicate that even lower density lidar data could be sufficient to provide a national Biomass ECV product with accuracies significantly higher than that from Landsat observations alone.</span></p>","language":"English","publisher":"Cloud Publications","usgsCitation":"Wu, Z., Dye, D.G., Stoker, J.M., Vogel, J.M., Velasco, M.G., and Middleton, B.R., 2016, Evaluating lidar point densities for effective estimation of aboveground biomass: International Journal of Advanced Remote Sensing and GIS, v. 5, no. 1, p. 1483-1499.","productDescription":"17 p.","startPage":"1483","endPage":"1499","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068758","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":323961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319210,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-559"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913b9e4b07657d19ff045","contributors":{"authors":[{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":623214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dye, Dennis G. 0000-0002-7100-272X ddye@usgs.gov","orcid":"https://orcid.org/0000-0002-7100-272X","contributorId":4233,"corporation":false,"usgs":true,"family":"Dye","given":"Dennis","email":"ddye@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":623216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":623215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogel, John M. 0000-0002-8226-1188 jvogel@usgs.gov","orcid":"https://orcid.org/0000-0002-8226-1188","contributorId":3167,"corporation":false,"usgs":true,"family":"Vogel","given":"John","email":"jvogel@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":623218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Velasco, Miguel G. 0000-0003-2559-7934 mvelasco@usgs.gov","orcid":"https://orcid.org/0000-0003-2559-7934","contributorId":2103,"corporation":false,"usgs":true,"family":"Velasco","given":"Miguel","email":"mvelasco@usgs.gov","middleInitial":"G.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":623219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":623217,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70169151,"text":"70169151 - 2016 - Nest survival is influenced by parental behaviour and heterospecifics in a mixed-species colony","interactions":[],"lastModifiedDate":"2018-03-06T15:58:07","indexId":"70169151","displayToPublicDate":"2016-03-23T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Nest survival is influenced by parental behaviour and heterospecifics in a mixed-species colony","docAbstract":"<p><span>Studies of avian nest success often focus on examining influences of variation in environmental and seasonal factors. However, in-depth evaluations can also incorporate variation in individual incubation behaviour to further advance our understanding of avian reproductive ecology. We examined these relationships in colonially nesting Black-crowned Night-Herons&nbsp;</span><i>Nycticorax nycticorax</i><span>&nbsp;using intensive video-monitoring methods to quantify incubation behaviours. We modelled nest survival as a function of both extrinsic factors and incubation behaviours over a 3-year period (2010&ndash;12) on Alcatraz Island, USA. Model-averaged parameter estimates indicated that nest survival increased as a function of greater incubation constancy (% of time spent incubating eggs within a 24-h period), and average daily precipitation throughout the nesting stage. Common Ravens&nbsp;</span><i>Corvus corax</i><span>&nbsp;are the only known nest predator of Night-Herons on Alcatraz Island, as on many other coastal Pacific islands. We also investigated the effects of heterospecific nesting of California Gulls&nbsp;</span><i>Larus californicus</i><span>&nbsp;and Western Gulls&nbsp;</span><i>Larus occidentalis</i><span>&nbsp;in a mixed-species colony with Night-Herons, based on nesting proximity data collected over a 2-year period (2011&ndash;12). This second analysis indicated that, in addition to incubation behaviours, nesting heterospecifics are an important factor for explaining variation in Night-Heron nest survival. However, contrary to our original expectation, we found that Night-Herons experienced increased nest survival with increasing distance from gull colony boundaries. These results may apply to other areas with multiple colonial nesting species and similar predator communities and climatic patterns.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12351","usgsCitation":"Brussee, B.E., Coates, P.S., Hothem, R.L., Howe, K., Casazza, M.L., and Eadie, J.M., 2016, Nest survival is influenced by parental behaviour and heterospecifics in a mixed-species colony: Ibis, v. 158, no. 2, p. 315-326, https://doi.org/10.1111/ibi.12351.","productDescription":"12 p.","startPage":"315","endPage":"326","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073084","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":319208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-10","publicationStatus":"PW","scienceBaseUri":"56f3b01ce4b0f59b85dfca20","contributors":{"authors":[{"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":623233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":623232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howe, Kristy khowe@usgs.gov","contributorId":167379,"corporation":false,"usgs":true,"family":"Howe","given":"Kristy","email":"khowe@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":623236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":623237,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70168826,"text":"fs20163011 - 2016 - Climate Change Science Activities of the U.S. Geological Survey in New England","interactions":[],"lastModifiedDate":"2016-03-23T13:51:00","indexId":"fs20163011","displayToPublicDate":"2016-03-23T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3011","title":"Climate Change Science Activities of the U.S. Geological Survey in New England","docAbstract":"<p>The U.S. Geological Survey (USGS) has actively pursued research in the effects of climate change on the hydrology of New England. Ongoing focus areas of climate change science activities of the USGS in New England include the following:</p>\n<p>&bull; Hydrologic climate-response data (initiating or expanding long-term hydrologic climate-response data collection networks to detect and monitor climate-related changes in hydrology) <br /> &bull; Relations between historical climatic and hydrologic variation (investigating historic relations between long-term climatic variation and hydrologic variation and connecting these relations to future conditions as forecasted by the Interagency Panel on Climate Change (Nakićenović and others, 2000)<br /> &bull; Hydrologic change on natural and human (incorporating climate change scenarios into assessments of how flows in streams or water levels in aquifers may change) <br /> &bull; Relations between climatic and hydrologic variation (characterizing impacts of climate change on floods and droughts, the long-term availability of water supplies for societal and natural uses in response to climate changes) <br /> &bull; Developing tools to forecast ecosystem change and water resources management (developing regionally consistent tools for forecasting ecosystem change and resource management)</p>\n<p>This fact sheet presents recent climate change investigations of the USGS in New England using selected recent publications. These publications highlight the broad spectrum of expertise and commitment to understanding the relations of climate change and water resources in New England.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163011","usgsCitation":"U.S. Geological Survey, 2016, Climate change science activities of the U.S. Geological Survey in New England: U.S. Geological Survey Fact Sheet 2016–3011, 4 p., https://dx.doi.org/10.3133/fs20163011.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-070470","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":319052,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163012","text":"Fact Sheet 2016-3012","size":"1 MB","description":"FS2016-3011"},{"id":319051,"rank":5,"type":{"id":7,"text":"Companion 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br /> U.S. Geological Survey<br /> 331 Commerce Way, Suite 2<br /> Pembroke, NH 03275</p>\n<p>Or visit our Web site at<br /> <a href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/ </a></p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-03-23","noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"56f3b01ae4b0f59b85dfca04","contributors":{"authors":[{"text":"Lent, Robert M. rmlent@usgs.gov","contributorId":284,"corporation":false,"usgs":true,"family":"Lent","given":"Robert","email":"rmlent@usgs.gov","middleInitial":"M.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621862,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169153,"text":"70169153 - 2016 - Temporal bird community dynamics are strongly affected by landscape fragmentation in a Central American tropical forest region","interactions":[],"lastModifiedDate":"2016-03-23T10:30:44","indexId":"70169153","displayToPublicDate":"2016-03-23T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Temporal bird community dynamics are strongly affected by landscape fragmentation in a Central American tropical forest region","docAbstract":"<p><span>Habitat loss and fragmentation are considered the main causes of species extinctions, particularly in tropical ecosystems. The objective of this work was to evaluate the temporal dynamics of tropical bird communities in landscapes with different levels of fragmentation in eastern Guatemala. We evaluated five bird community dynamic parameters for forest specialists and generalists: (1) species extinction, (2) species turnover, (3) number of colonizing species, (4) relative species richness, and (5) a homogeneity index. For each of 24 landscapes, community dynamic parameters were estimated from bird point count data, for the 1998&ndash;1999 and 2008&ndash;2009 periods, accounting for species&rsquo; detection probability. Forest specialists had higher extinction rates and a smaller number of colonizing species in landscapes with higher fragmentation, thus having lower species richness in both time periods. Alternatively, forest generalists elicited a completely different pattern, showing a curvilinear association to forest fragmentation for most parameters. Thus, greater community dynamism for forest generalists was shown in landscapes with intermediate levels of fragmentation. Our study supports general theory regarding the expected negative effects of habitat loss and fragmentation on the temporal dynamics of biotic communities, particularly for forest specialists, providing strong evidence from understudied tropical bird communities.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10531-016-1049-2","usgsCitation":"Blandon, A., Perelman, S., Ramírez, M., Lopez, A., Javier, O., and Robbins, C.S., 2016, Temporal bird community dynamics are strongly affected by landscape fragmentation in a Central American tropical forest region: Biodiversity and Conservation, v. 25, no. 2, p. 311-330, https://doi.org/10.1007/s10531-016-1049-2.","productDescription":"20 p.","startPage":"311","endPage":"330","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073420","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":319206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.18289184570312,\n              15.436472173319213\n            ],\n            [\n              -89.18289184570312,\n              15.887376009908698\n            ],\n            [\n              -88.50036621093749,\n              15.887376009908698\n            ],\n            [\n              -88.50036621093749,\n              15.436472173319213\n            ],\n            [\n              -89.18289184570312,\n              15.436472173319213\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-25","publicationStatus":"PW","scienceBaseUri":"56f3b01fe4b0f59b85dfca28","contributors":{"authors":[{"text":"Blandon, A.C.","contributorId":167717,"corporation":false,"usgs":false,"family":"Blandon","given":"A.C.","email":"","affiliations":[{"id":24814,"text":"Quantitative Methods and Information Systems Department, Faculty of Agronomy, University of Buenos Aires, Av. San Martín 4453, Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":623244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perelman, S.B.","contributorId":167718,"corporation":false,"usgs":false,"family":"Perelman","given":"S.B.","affiliations":[{"id":24814,"text":"Quantitative Methods and Information Systems Department, Faculty of Agronomy, University of Buenos Aires, Av. San Martín 4453, Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":623245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramírez, M.","contributorId":167719,"corporation":false,"usgs":false,"family":"Ramírez","given":"M.","affiliations":[{"id":24815,"text":"Foundation for Ecodevelopment and Conservation (FUNDAECO), 25 Calle, 2-39, Zona 1, Guatemala City, Guatemala","active":true,"usgs":false}],"preferred":false,"id":623246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez, A.","contributorId":167720,"corporation":false,"usgs":false,"family":"Lopez","given":"A.","email":"","affiliations":[{"id":24815,"text":"Foundation for Ecodevelopment and Conservation (FUNDAECO), 25 Calle, 2-39, Zona 1, Guatemala City, Guatemala","active":true,"usgs":false}],"preferred":false,"id":623247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Javier, O.","contributorId":167721,"corporation":false,"usgs":false,"family":"Javier","given":"O.","email":"","affiliations":[{"id":24815,"text":"Foundation for Ecodevelopment and Conservation (FUNDAECO), 25 Calle, 2-39, Zona 1, Guatemala City, Guatemala","active":true,"usgs":false}],"preferred":false,"id":623248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robbins, Chandler S. crobbins@usgs.gov","contributorId":4275,"corporation":false,"usgs":true,"family":"Robbins","given":"Chandler","email":"crobbins@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":623243,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70168820,"text":"fs20163010 - 2016 - Groundwater contaminant science activities of the U.S. Geological Survey in New England","interactions":[],"lastModifiedDate":"2017-06-30T10:06:13","indexId":"fs20163010","displayToPublicDate":"2016-03-23T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3010","title":"Groundwater contaminant science activities of the U.S. Geological Survey in New England","docAbstract":"<p><span>Aquifers in New England provide water for human needs and natural ecosystems. In some areas, however, aquifers have been degraded by contaminants from geologic and human sources. In recent decades, the U.S. Geological Survey has been a leader in describing contaminant occurrence in the bedrock and surficial aquifers of New England. In cooperation with Federal, State, and local agencies, the U.S. Geological Survey has also studied the vulnerability of groundwater to contaminants, the factors affecting the geographic distribution of contaminants, and the geochemical processes controlling contaminant transport and fate. This fact sheet describes some of the major science needs in the region related to groundwater contaminants and highlights recent U.S. Geological Survey studies that provide a foundation for future investigations.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163010","usgsCitation":"U.S. Geological Survey, 2016, Groundwater contaminant science activities of the U.S. Geological Survey in New England: U.S. Geological Survey Fact Sheet 2016–3010, 4 p., https://dx.doi.org/10.3133/fs20163010.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071183","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":319028,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163011","text":"Fact Sheet 2016-3011","size":"713 KB","description":"FS 2016-3010"},{"id":319026,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163008","text":"Fact Sheet 2016-3008","size":"1.08 MB","description":"FS 2016-3010"},{"id":319027,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163009","text":"Fact Sheet 2016-3009","size":"1.10 MB","description":"FS 2016-3010"},{"id":319025,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3010/fs20163010.pdf","text":"Report","size":"871 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":319024,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3010/coverthb.jpg"},{"id":319029,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163012","text":"Fact Sheet 2016-3012","size":"1 MB","description":"FS 2016-3010"}],"country":"United States","otherGeospatial":"New England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.6630859375,\n              44.96479793033101\n            ],\n            [\n              -76.81640625,\n              43.67581809328341\n            ],\n            [\n              -79.1455078125,\n              43.54854811091286\n            ],\n            [\n              -74.8388671875,\n              38.685509760012\n            ],\n            [\n              -69.60937499999999,\n              41.934976500546604\n            ],\n            [\n              -70.2685546875,\n              42.61779143282346\n            ],\n            [\n              -69.873046875,\n              43.29320031385282\n            ],\n            [\n              -66.5771484375,\n              44.62175409623324\n            ],\n            [\n              -67.67578124999999,\n              45.706179285330855\n            ],\n            [\n              -67.67578124999999,\n              47.010225655683485\n            ],\n            [\n              -67.939453125,\n              47.27922900257082\n            ],\n            [\n              -69.4775390625,\n              47.487513008956554\n            ],\n            [\n              -71.015625,\n              45.27488643704891\n            ],\n            [\n              -71.4990234375,\n              45.02695045318546\n            ],\n            [\n              -74.6630859375,\n              44.96479793033101\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br /> U.S. Geological Survey<br /> 331 Commerce Way, Suite 2<br /> Pembroke, NH 03275</p>\n<p>Or visit our Web site at<br /> <a href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/ </a></p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-03-23","noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"56f3b01ce4b0f59b85dfca17","contributors":{"authors":[{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621851,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168888,"text":"fs20163008 - 2016 - Flood- and drought-related natural hazards activities of the U.S. Geological Survey in New England","interactions":[],"lastModifiedDate":"2017-06-30T10:18:55","indexId":"fs20163008","displayToPublicDate":"2016-03-23T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3008","title":"Flood- and drought-related natural hazards activities of the U.S. Geological Survey in New England","docAbstract":"<p>The U.S. Geological Survey (USGS) has many ongoing and recent water-related natural hazard activities in New England that can be used to help mitigate the effects of natural hazards in cooperation with other agencies. The themes related to potential hazards and the tools and science to better understand and address them include the following:</p>\n<p><strong>Erosion and landslides</strong><br /> &bull; Fluvial erosion (sediment transport, bridge scour, and bankfull channel geometry characterization)<br /> &bull; Current and historic landslide mapping</p>\n<p><strong>Flood documentation and assessment</strong><br /> &bull; Flood high-water marks<br /> &bull; Flood modeling and frequency analysis<br /> &bull; Flood inundation mapping<br /> &bull; Peak-flow regression equations</p>\n<p><strong>Drought documentation and assessment</strong><br /> &bull; Drought frequency analysis<br /> &bull; Low-flow frequency and flow duration statistics<br /> &bull; Water use and availability during drought</p>\n<p><strong>Hydrologic monitoring</strong><br /> &bull; Streamflow monitoring network<br /> &bull; Groundwater monitoring network <br /> &bull; Tidal monitoring network <br /> &bull; Snow surveys and ice jam monitoring</p>\n<p><strong>Tools for natural hazard assessment and mitigation</strong><br /> &bull; Light detection and ranging (lidar) remote sensing technology <br /> &bull; StreamStats Web-based tool for streamflow statistics <br /> &bull; Flood inundation mapper</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163008","usgsCitation":"U.S. Geological Survey, 2016, Flood- and drought-related natural hazards activities of the U.S. Geological Survey in New England: U.S. Geological Survey Fact Sheet 2016–3008, 4 p., https://dx.doi.org/10.3133/fs20163008.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070379","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":319016,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163012","text":"Fact Sheet 2016-3012","size":"1 MB","description":"FS 2016-3008"},{"id":319013,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163009","text":"Fact Sheet 2016-3009","size":"1.10 MB","description":"FS 2016-3008"},{"id":319014,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163010","text":"Fact Sheet 2016-3010","size":"871 KB","description":"FS 2016-3008"},{"id":319015,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163011","text":"Fact Sheet 2016-3011","size":"713 KB","description":"FS 2016-3008"},{"id":319011,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3008/fs20163008.pdf","text":"Report","size":"1.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3008"},{"id":319010,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3008/coverthb.jpg"}],"country":"United States","otherGeospatial":"New England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.6630859375,\n              44.96479793033101\n            ],\n            [\n              -76.81640625,\n              43.67581809328341\n            ],\n            [\n              -79.1455078125,\n              43.54854811091286\n            ],\n            [\n              -74.8388671875,\n              38.685509760012\n            ],\n            [\n              -69.60937499999999,\n              41.934976500546604\n            ],\n            [\n              -70.2685546875,\n              42.61779143282346\n            ],\n            [\n              -69.873046875,\n              43.29320031385282\n            ],\n            [\n              -66.5771484375,\n              44.62175409623324\n            ],\n            [\n              -67.67578124999999,\n              45.706179285330855\n            ],\n            [\n              -67.67578124999999,\n              47.010225655683485\n            ],\n            [\n              -67.939453125,\n              47.27922900257082\n            ],\n            [\n              -69.4775390625,\n              47.487513008956554\n            ],\n            [\n              -71.015625,\n              45.27488643704891\n            ],\n            [\n              -71.4990234375,\n              45.02695045318546\n            ],\n            [\n              -74.6630859375,\n              44.96479793033101\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br /> U.S. Geological Survey<br /> 331 Commerce Way, Suite 2<br /> Pembroke, NH 03275</p>\n<p>Or visit our Web site at<br /> <a href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/ </a></p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-03-23","noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"56f3b01be4b0f59b85dfca0a","contributors":{"authors":[{"text":"Lombard, Pamela J. plombard@usgs.gov","contributorId":167369,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","email":"plombard@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":622045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168900,"text":"fs20163012 - 2016 - Surface water-quality activities of the U.S. Geological Survey in New England","interactions":[],"lastModifiedDate":"2017-06-30T10:18:40","indexId":"fs20163012","displayToPublicDate":"2016-03-23T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3012","title":"Surface water-quality activities of the U.S. Geological Survey in New England","docAbstract":"<p>The U.S. Geological Survey (USGS) collaborates with a variety of Federal, State, local, and tribal partners on scientific projects to provide reliable and impartial water-quality data and interpretation to resource managers, planners, stakeholders, and the general public. 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,{"id":70168887,"text":"fs20163009 - 2016 - Transportation and Hydrology Studies of the U.S. Geological Survey in New England","interactions":[],"lastModifiedDate":"2016-03-24T14:51:02","indexId":"fs20163009","displayToPublicDate":"2016-03-23T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3009","title":"Transportation and Hydrology Studies of the U.S. Geological Survey in New England","docAbstract":"<p>The U.S. Geological Survey (USGS) has a long history of working with the Federal Highway Administration (FHWA) and State transportation agencies to provide data and information to address various issues related to water resources and the Nation&rsquo;s transportation infrastructure. These issues include the following:</p>\n<p>&bull; Streamgaging data networks<br /> &bull; Flow frequencies and flow statistics <br /> &bull; Water-quality investigations <br /> &bull; Bridge scour and sediment transport <br /> &bull; Hydrologic and hydraulic flood modeling</p>\n<p>In New England, the USGS is conducting investigations to improve flood flow estimation techniques, to define channel characteristics at bankfull discharge, and to document storm tide as a result of major coastal storms. Current locally focused investigations include examination of flow frequency in rural, urban, and small watersheds; documentation of extreme inland floods along with flood-frequency updates; examination of the effects of roadway blasting on groundwater quality; and determinations of the effects of road salting on the quality of runoff and receiving waters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163009","usgsCitation":"U.S. Geological Survey, 2016, Transportation and hydrology studies of the U.S. Geological Survey in New England: U.S. Geological Survey Fact Sheet 2016–3009, 4 p., https://dx.doi.org/10.3133/fs20163009.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-069106","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":319022,"rank":6,"type":{"id":7,"text":"Companion 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br /> U.S. Geological Survey<br /> 331 Commerce Way, Suite 2<br /> Pembroke, NH 03275</p>\n<p>Or visit our Web site at<br /> <a href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/ </a></p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-03-23","noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"56f3b01fe4b0f59b85dfca2b","contributors":{"authors":[{"text":"Lombard, Pamela J. plombard@usgs.gov","contributorId":167369,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","email":"plombard@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":622044,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175001,"text":"70175001 - 2016 - Climate change impacts on lake thermal dynamics and ecosystem vulnerabilities","interactions":[],"lastModifiedDate":"2016-07-27T09:37:10","indexId":"70175001","displayToPublicDate":"2016-03-23T09:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Climate change impacts on lake thermal dynamics and ecosystem vulnerabilities","docAbstract":"<p><span>Using water column temperature records collected since 1968, we analyzed the impacts of climate change on thermal properties, stability intensity, length of stratification, and deep mixing dynamics of Lake Tahoe using a modified stability index (SI). This new SI is easier to produce and is a more informative measure of deep lake stability than commonly used stability indices. The annual average SI increased at 16.62 kg/m</span><sup><span>2</span></sup><span>/decade although the summer (May&ndash;October) average SI increased at a higher rate (25.42 kg/m</span><sup><span>2</span></sup><span>/decade) during the period 1968&ndash;2014. This resulted in the lengthening of the stratification season by approximately 24 d. We simulated the lake thermal structure over a future 100 yr period using a lake hydrodynamic model driven by statistically downscaled outputs of the Geophysical Fluid Dynamics Laboratory Model (GFDL) for two different green house gas emission scenarios (the A2 in which greenhouse-gas emissions increase rapidly throughout the 21</span><sup><span>st</span></sup><span>&nbsp;Century, and the B1 in which emissions slow and then level off by the late 21</span><sup><span>st</span></sup><span>&nbsp;Century). The results suggest a continuation and intensification of the already observed trends. The length of stratification duration and the annual average lake stability are projected to increase by 38 d and 12 d and 30.25 kg/m</span><sup><span>2</span></sup><span>/decade and 8.66 kg/m</span><sup><span>2</span></sup><span>/decade, respectively for GFDLA2 and GFDLB1, respectively during 2014&ndash;2098. The consequences of this change bear the hallmarks of climate change induced lake warming and possible exacerbation of existing water quality, quantity and ecosystem changes. The developed methodology could be extended and applied to other lakes as a tool to predict changes in stratification and mixing dynamics.</span></p>","language":"English","publisher":"Wiley & Sons Ltd.","doi":"10.1002/lno.10228","usgsCitation":"Sahoo, G.B., Forrest, A.L., Schladow, S., Reuter, J.E., Coats, R., and Dettinger, M.D., 2016, Climate change impacts on lake thermal dynamics and ecosystem vulnerabilities: Limnology and Oceanography, v. 61, p. 496-507, https://doi.org/10.1002/lno.10228.","productDescription":"11 p.","startPage":"496","endPage":"507","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057124","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10228","text":"Publisher Index 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E","contributorId":173178,"corporation":false,"usgs":false,"family":"Reuter","given":"J.","email":"","middleInitial":"E","affiliations":[{"id":27174,"text":"UC Davis, Tahoe Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":643558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coats, R.","contributorId":9540,"corporation":false,"usgs":true,"family":"Coats","given":"R.","email":"","affiliations":[],"preferred":false,"id":643559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":643554,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70160548,"text":"sir20105090AA - 2016 - Geology and undiscovered resource assessment of the potash-bearing Central Asia Salt Basin, Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan: Chapter AA in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70160548,"text":"sir20105090AA - 2016 - Geology and undiscovered resource assessment of the potash-bearing Central Asia Salt Basin, Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan: Chapter AA in <i>Global mineral resource assessment</i>","indexId":"sir20105090AA","publicationYear":"2016","noYear":false,"chapter":"AA","title":"Geology and undiscovered resource assessment of the potash-bearing Central Asia Salt Basin, Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan: Chapter AA in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2016-03-23T15:14:43","indexId":"sir20105090AA","displayToPublicDate":"2016-03-23T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"AA","title":"Geology and undiscovered resource assessment of the potash-bearing Central Asia Salt Basin, Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan: Chapter AA in <i>Global mineral resource assessment</i>","docAbstract":"<p>Undiscovered potash resources in the Central Asia Salt Basin (CASB) of Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan were assessed as part of a global mineral resource assessment led by the U.S. Geological Survey. The term &ldquo;potash&rdquo; refers to potassium-bearing, water-soluble salts derived from evaporite basins, where seawater dried up and precipitated various salt compounds; the word for the element &ldquo;potassium&rdquo; is derived from potash. Potash is produced worldwide at amounts exceeding 30 million metric tons per year, mostly for use in fertilizers. The term &ldquo;potash&rdquo; is used by industry to refer to potassium chloride, as well as potassium in sulfate, nitrate, and oxide forms. For the purposes of this assessment, the term &ldquo;potash&rdquo; refers to potassium ores and minerals and potash ore grades. Resource and production values are usually expressed by industry in terms of K<sub>2</sub>O (potassium oxide) or muriate of potash (KCl, potassium chloride).</p>\n<p>The CASB hosts significant discovered potash resources and originated in an inland sea during Late Jurassic time. Seawater flowed into the CASB, mostly from its extreme northwestern margin near the modern Caspian Sea, during several evaporation episodes that deposited at least five different packages of evaporites, with virtually all potash in the second and fourth packages. In this study, the CASB was subdivided into three tracts (permissive areas) for evaluation: the Amu Darya tract in the west, the Gissar tract in the center, and the Afghan-Tajik tract in the east. The Gissar and Amu Darya tracts were quantitatively assessed, whereas the Afghan‑Tajik tract was only qualitatively assessed because of the commonly extreme depth (as deep as 7 km) of the Jurassic salt, extensive deformation, and a lack of known potash deposits.</p>\n<p>Two approaches were used to estimate amounts of undiscovered potash in the CASB. Stratabound evaporite deposits in the Amu Darya tract were evaluated using an Adaptive Geometric Estimation (AGE) approach, which estimates in-place potash volumes and tonnages. The Gissar tract was evaluated by using the AGE approach for stratabound deposits and the three-part form of assessment of Singer and Menzie (2005) for discrete halokinetic deposits. In the three-part form of assessment, numbers of undiscovered deposits were estimated and combined with grade and tonnage models to probabilistically forecast the amount of undiscovered potash. The Amu Darya tract is estimated to contain 38 billion metric tons of undiscovered potash as K<sub>2</sub>O by using the AGE approach for stratabound deposits. The hybrid stratabound-halokinetic Gissar tract is estimated to contain between 1 and 16&nbsp;billion metric tons of undiscovered potash as K<sub>2</sub>O.</p>\n<p>Chapter 1 of this report provides an overview of the history of the CASB and summarizes evaporite potash deposition, halokinesis, and dissolution processes that have affected the current distribution of potash-bearing salt in the CASB. Chapter 2 describes the Gissar tract, an uplifted region that contains a mix of stratabound and halokinetic potash deposits and all of the discovered and exploited potash deposits of the CASB. Chapter 3 describes the Amu Darya tract, where evaporite deposits remain flat-lying and undeformed since their original deposition. Chapter 4 describes the highly deformed and compressed Afghan-Tajik tract and what is known of the deeply-buried Jurassic salt. Chapter 5 describes the spatial databases included with this report, which contain a collection of CASB potash information. Appendixes A and B summarize descriptive models for stratabound and halokinetic potash-bearing salt deposits, respectively. Appendix C summarizes the AGE method used to evaluate the Gissar and Amu Darya tracts. Appendixes D and E contain grade and thickness data for the Gissar and Amu Darya tracts. Appendix F provides the SYSTAT script used to estimate undiscovered K2 O in a CASB tract. Appendix G provides a potash glossary, and appendix H provides biographies of assessment participants.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090AA","usgsCitation":"Wynn, Jeff, Orris, G.J., Dunlap, Pamela, Cocker, M.D., and Bliss, J.D., 2016, Geology and undiscovered resource assessment of the potash-bearing Central Asia Salt Basin, Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan: U.S. Geological Survey Scientific Investigations Report SIR 2010–5090–AA, 106 p., and spatial data, https://dx.doi.org/10.3133/sir20105090AA.","productDescription":"Report: xi, 106 p.; GIS Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053583","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":318376,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/aa/sir20105090aa.pdf","text":"Report","size":"7.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2010-5090-AA report PDF"},{"id":318377,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/aa/sir20105090aa_gis.zip","text":"GIS Data","size":"4.1 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2010-5090-AA GIS Data"},{"id":318375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2010/5090/aa/coverthb.jpg"}],"country":"Afghanistan, Tajikistan, Turkmenistan, Uzbekistan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              62.38037109374999,\n              40.094882122321174\n            ],\n            [\n              60.3369140625,\n              40.01078714046552\n            ],\n            [\n              61.14990234374999,\n              36.89719446989036\n            ],\n            [\n              70.07080078125,\n              35.94243575255426\n            ],\n            [\n              70.24658203125,\n              37.94419750075404\n            ],\n            [\n              70.9716796875,\n              38.94232097947902\n            ],\n            [\n              62.38037109374999,\n              40.094882122321174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://minerals.usgs.gov/contacts/index.html\" target=\"_blank\">Contact Information</a>, Mineral Resources Program&nbsp;<br />U.S. Geological Survey&nbsp;<br />12201 Sunrise Valley Drive&nbsp;<br />913 National Center&nbsp;<br />Reston, VA 20192&nbsp;<br /><a href=\"http://minerals.usgs.gov/\" target=\"_blank\">http://minerals.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Chapter 1. Overview of the Geology and Assessment of Undiscovered Potash Resources in&nbsp;the Central Asia Salt Basin, Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan</li>\n<li>Chapter 2. Potash-Bearing Salt Assessment for the Gissar Tract (142mxK0005a)&mdash;Turkmenistan, Uzbekistan, Tajikistan, and Afghanistan</li>\n<li>Chapter 3. Stratabound Potash-Bearing Salt Assessment for the Amu Darya Tract (142sbK0005b)&mdash;Turkmenistan and Uzbekistan</li>\n<li>Chapter 4. Potash-Bearing Salt Assessment for the Afghan-Tajik Tract (142haK0005c)&mdash; Uzbekistan, Tajikistan, and Afghanistan</li>\n<li>Chapter 5. Spatial Databases for Resource Assessments</li>\n<li>References Cited</li>\n<li>Additional References</li>\n<li>Appendix A-H</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-03-23","noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"56f3b01ce4b0f59b85dfca11","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":619749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":619750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunlap, Pamela pdunlap@usgs.gov","contributorId":5329,"corporation":false,"usgs":true,"family":"Dunlap","given":"Pamela","email":"pdunlap@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":619751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":619752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":619753,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70169128,"text":"ofr20161045 - 2016 - An interface for simulating radiative transfer in and around volcanic plumes with the Monte Carlo radiative transfer model McArtim","interactions":[],"lastModifiedDate":"2016-03-24T08:51:08","indexId":"ofr20161045","displayToPublicDate":"2016-03-23T04:00:00","publicationYear":"2016","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":"2016-1045","title":"An interface for simulating radiative transfer in and around volcanic plumes with the Monte Carlo radiative transfer model McArtim","docAbstract":"<p>This report describes two software tools that, when used as front ends for the three-dimensional backward Monte Carlo atmospheric-radiative-transfer model (RTM) McArtim, facilitate the generation of lookup tables of volcanic-plume optical-transmittance characteristics in the ultraviolet/visible-spectral region. In particular, the differential optical depth and derivatives thereof (that is, weighting functions), with regard to a change in SO<sub>2</sub> column density or aerosol optical thickness, can be simulated for a specific measurement geometry and a representative range of plume conditions. These tables are required for the retrieval of SO<sub>2</sub> column density in volcanic plumes, using the simulated radiative-transfer/differential optical-absorption spectroscopic (SRT-DOAS) approach outlined by Kern and others (2012). This report, together with the software tools published online, is intended to make this sophisticated SRT-DOAS technique available to volcanologists and gas geochemists in an operational environment, without the need for an indepth treatment of the underlying principles or the low-level interface of the RTM McArtim.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161045","usgsCitation":"Kern, Christoph, 2016, An interface for simulating radiative transfer in and around volcanic plumes with the Monte Carlo radiative transfer model McArtim: U.S. Geological Survey Open-File Report 2016–1045, 18 p., https://dx.doi.org/10.3133/ofr20161045.","productDescription":"iv, 18 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046306","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":319193,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1045/coverthb.jpg"},{"id":319194,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1045/ofr20161045.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1045"}],"contact":"<p><a href=\"http://volcanoes.usgs.gov/observatories/cvo/\" target=\"blank\">Contact CVO</a><br /> 
Volcano Science Center, Cascades Volcano Observatory<br /> U.S. Geological Survey<br /> 1300 SE Cardinal Court, Building 10, Suite 100<br /> Vancouver, WA 98683-9589<br /> <a href=\"http://vulcan.wr.usgs.gov/\" target=\"blank\">
http://vulcan.wr.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>LT-Builder</li>\n<li>RTVP</li>\n<li>Conclusions</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-03-23","noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"56f3b018e4b0f59b85dfc9f5","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":623128,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174877,"text":"70174877 - 2016 - Mark retention of calcein in Cisco and Bloater","interactions":[],"lastModifiedDate":"2016-07-20T11:50:03","indexId":"70174877","displayToPublicDate":"2016-03-22T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Mark retention of calcein in Cisco and Bloater","docAbstract":"<p>Since 2012, a multi-agency initiative to restore these native forage species has been under way. Evaluating the restoration success of Cisco Coregonus artedi and Bloater C. hoyi in Lake Ontario waters requires methods to identify stocked fish. However, juvenile Cisco and Bloater are fragile; thus, mass marking techniques that reduce the handling of individual fish are required and have not previously been evaluated. In 2014&ndash;2015 we evaluated the usefulness of calcein (SE-MARK) as a marker on bony structures, including the otolith. Juvenile Bloater and Cisco (14, 100, 128 d old) were immersed in a calcein bath at 5,000 mg/L of water for 4 min to apply the chemical marker. Observations of the marking retention were evaluated 8 d following the treatment. All fish immersed in calcein had strong brilliant marks (rating scale 3) on all bony structures including scales, fin rays, jaw bones, and vertebrate. The otolith was the only hard structure that did not show a brilliant marking due to the opaque nature of the structure. Our results suggest that calcein produces a strong discernable mark on hard bony structures of Cisco and Bloater; however, long-term retention needs further study.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1143419","usgsCitation":"Chalupnicki, M.A., Mackey, G., Nash, K., Chiavelli, R., Johnson, J.H., Kehler, T., and Ringler, N.H., 2016, Mark retention of calcein in Cisco and Bloater: North American Journal of Aquaculture, v. 78, no. 2, p. 148-153, https://doi.org/10.1080/15222055.2016.1143419.","productDescription":"5 p.","startPage":"148","endPage":"153","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070308","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": 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gmackey@usgs.gov","contributorId":172998,"corporation":false,"usgs":true,"family":"Mackey","given":"Gregg","email":"gmackey@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nash, Kendra knash@usgs.gov","contributorId":172999,"corporation":false,"usgs":true,"family":"Nash","given":"Kendra","email":"knash@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chiavelli, Richard rchiavelli@usgs.gov","contributorId":173000,"corporation":false,"usgs":true,"family":"Chiavelli","given":"Richard","email":"rchiavelli@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kehler, Thomas","contributorId":168583,"corporation":false,"usgs":false,"family":"Kehler","given":"Thomas","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":642951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ringler, Neil 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,{"id":70175025,"text":"70175025 - 2016 - Integrating subsistence practice and species distribution modeling: assessing invasive elodea’s potential impact on Native Alaskan subsistence of Chinook salmon and whitefish","interactions":[],"lastModifiedDate":"2016-07-27T11:31:40","indexId":"70175025","displayToPublicDate":"2016-03-22T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Integrating subsistence practice and species distribution modeling: assessing invasive elodea’s potential impact on Native Alaskan subsistence of Chinook salmon and whitefish","docAbstract":"<p><span>Alaska has one of the most rapidly changing climates on earth and is experiencing an accelerated rate of human disturbance, including resource extraction and transportation infrastructure development. Combined, these factors increase the state&rsquo;s vulnerability to biological invasion, which can have acute negative impacts on ecological integrity and subsistence practices. Of growing concern is the spread of Alaska&rsquo;s first documented freshwater aquatic invasive plant&nbsp;</span><i class=\"EmphasisTypeItalic \">Elodea</i><span>&nbsp;spp. (elodea). In this study, we modeled the suitable habitat of elodea using global and state-specific species occurrence records and environmental variables, in concert with an ensemble of model algorithms. Furthermore, we sought to incorporate local subsistence concerns by using Native Alaskan knowledge and available statewide subsistence harvest data to assess the potential threat posed by elodea to Chinook salmon (</span><i class=\"EmphasisTypeItalic \">Oncorhynchus tshawytscha</i><span>) and whitefish (</span><i class=\"EmphasisTypeItalic \">Coregonus nelsonii</i><span>) subsistence. State models were applied to future climate (2040&ndash;2059) using five general circulation models best suited for Alaska. Model evaluations indicated that our results had moderate to strong predictability, with area under the receiver-operating characteristic curve values above 0.80 and classification accuracies ranging from 66 to 89&nbsp;%. State models provided a more robust assessment of elodea habitat suitability. These ensembles revealed different levels of management concern statewide, based on the interaction of fish subsistence patterns, known spawning and rearing sites, and elodea habitat suitability, thus highlighting regions with additional need for targeted monitoring. Our results suggest that this approach can hold great utility for invasion risk assessments and better facilitate the inclusion of local stakeholder concerns in conservation planning and management.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0692-4","usgsCitation":"Luizza, M., Evangelista, P., Jarnevich, C.S., West, A., and Stewart, H., 2016, Integrating subsistence practice and species distribution modeling: assessing invasive elodea’s potential impact on Native Alaskan subsistence of Chinook salmon and whitefish: Environmental Management, v. 58, no. 1, p. 144-163, https://doi.org/10.1007/s00267-016-0692-4.","productDescription":"19 p.","startPage":"144","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067317","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Amanda M.","contributorId":139058,"corporation":false,"usgs":false,"family":"West","given":"Amanda M.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":643642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Heather","contributorId":173199,"corporation":false,"usgs":false,"family":"Stewart","given":"Heather","affiliations":[{"id":27188,"text":"Alaska Department of Natural Resources Division of 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,{"id":70169145,"text":"70169145 - 2016 - Enhancing and restoring habitat for the desert tortoise","interactions":[],"lastModifiedDate":"2016-12-16T11:17:02","indexId":"70169145","displayToPublicDate":"2016-03-22T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing and restoring habitat for the desert tortoise","docAbstract":"<p><span>Habitat has changed unfavorably during the past 150 y for the desert tortoise </span><i><i>Gopherus agassizii</i>,</i><span> a federally threatened species with declining populations in the Mojave Desert and western Sonoran Desert. To support recovery efforts, we synthesized published information on relationships of desert tortoises with three habitat features (cover sites, forage, and soil) and candidate management practices for improving these features for tortoises. In addition to their role in soil health and facilitating recruitment of annual forage plants, shrubs are used by desert tortoises for cover and as sites for burrows. Outplanting greenhouse-grown seedlings, protected from herbivory, has successfully restored (&gt;50% survival) a variety of shrubs on disturbed desert soils. Additionally, salvaging and reapplying topsoil using effective techniques is among the more ecologically beneficial ways to initiate plant recovery after severe disturbance. Through differences in biochemical composition and digestibility, some plant species provide better-quality forage than others. Desert tortoises selectively forage on particular annual and herbaceous perennial species (e.g., legumes), and forage selection shifts during the year as different plants grow or mature. Nonnative grasses provide low-quality forage and contribute fuel to spreading wildfires, which damage or kill shrubs that tortoises use for cover. Maintaining a diverse “menu” of native annual forbs and decreasing nonnative grasses are priorities for restoring most desert tortoise habitats. Reducing herbivory by nonnative animals, carefully timing herbicide applications, and strategically augmenting annual forage plants via seeding show promise for improving tortoise forage quality. Roads, another disturbance, negatively affect habitat in numerous ways (e.g., compacting soil, altering hydrology). Techniques such as recontouring road berms to reestablish drainage patterns, vertical mulching (“planting” dead plant material), and creating barriers to prevent trespasses can assist natural recovery on decommissioned backcountry roads. Most habitat enhancement efforts to date have focused on only one factor at a time (e.g., providing fencing) and have not included proactive restoration activities (e.g., planting native species on disturbed soils). A research and management priority in recovering desert tortoise habitats is implementing an integrated set of restorative habitat enhancements (e.g., reducing nonnative plants, improving forage quality, augmenting native perennial plants, and ameliorating altered hydrology) and monitoring short- and long-term indicators of habitat condition and the responses of desert tortoises to habitat restoration.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/052015-JFWM-046","usgsCitation":"Abella, S.R., and Berry, K.H., 2016, Enhancing and restoring habitat for the desert tortoise: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 255-279, https://doi.org/10.3996/052015-JFWM-046.","productDescription":"25 p.","startPage":"255","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066485","costCenters":[{"id":651,"text":"Western Ecological Research 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kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623206,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169017,"text":"fs20163007 - 2016 - Landscape ecology of the Upper Mississippi River System: Lessons learned, challenges and opportunities","interactions":[],"lastModifiedDate":"2016-06-24T09:07:49","indexId":"fs20163007","displayToPublicDate":"2016-03-22T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3007","title":"Landscape ecology of the Upper Mississippi River System: Lessons learned, challenges and opportunities","docAbstract":"<p>The Upper Mississippi River System (UMRS) is a mosaic of river channels, backwater lakes, floodplain forests, and emergent marshes. This complex mosaic supports diverse aquatic and terrestrial plant communities, over 150 fish species; 40 freshwater mussel species; 50 amphibian and reptile species; and over 360 bird species, many of which use the UMRS as a critical migratory route. The river and floodplain are also hotspots for biogeochemical activity as the river-floodplain collects and processes nutrients derived from the UMR basin. These features qualify the UMRS as a Ramsar wetland of international significance.</p><p>Two centuries of land-use change, including construction for navigation and conversion of large areas to agriculture, has altered the broad-scale structure of the river and changed local environmental conditions in many areas. Such changes have affected rates of nutrient processing and transport, as well as the abundance of various fish, mussel, plant, and bird species. However, the magnitude and spatial scale of these effects are not well quantified, especially in regards to the best methods and locations for restoring various aspects of the river ecosystem.</p><p>The U.S. Congress declared the navigable portions of the Upper Mississippi River System (UMRS) a “nationally significant ecosystem and nationally significant commercial navigation system” in the Water Resources Development Act of 1986 (Public Law 99-662) and launched the Upper Mississippi River Restoration (UMRR) Program, the first comprehensive program for ecosystem restoration, monitoring, and research on a large river system. This fact sheet focuses on landscape ecological studies conducted by the U.S. Geological Survey to support decision making by the UMRR with respect to ecosystem restoration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163007","collaboration":"A Product of the U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program","usgsCitation":"De Jager, N., 2016, Landscape Ecology of the Upper Mississippi River System: Lessons learned, challenges and opportunities. U.S. Geological Survey Fact Sheet 2016–3007, 4 p., https://dx.doi.org/10.3133/fs20163007.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041434","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":318908,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3007/coverthb.jpg"},{"id":318909,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3007/fs20163007.pdf","text":"Report","size":"6.58 MB","description":"FS 2016-3007"}],"country":"United States","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.62646484375,\n              36.4566360115962\n            ],\n            [\n              -91.47216796875,\n              38.41055825094609\n            ],\n            [\n              -93.93310546875,\n              39.7240885773337\n            ],\n            [\n              -95.44921875,\n              40.48038142908172\n            ],\n            [\n              -96.328125,\n              42.391008609205045\n            ],\n            [\n              -96.50390625,\n              44.26093725039923\n            ],\n            [\n              -96.52587890625,\n              45.19752230305685\n            ],\n            [\n              -95.108642578125,\n              46.21785176740299\n            ],\n            [\n              -94.09790039062499,\n              46.39998810407942\n            ],\n            [\n              -92.735595703125,\n              46.51351558059737\n            ],\n            [\n              -92.17529296875,\n              46.44542749723387\n            ],\n            [\n              -90.3076171875,\n              44.94924926661153\n            ],\n            [\n              -89.197998046875,\n              43.40504748787035\n            ],\n            [\n              -88.22021484375,\n              42.706659563510385\n            ],\n            [\n              -87.791748046875,\n              42.439674178149424\n            ],\n            [\n              -87.60498046875,\n              40.830436877649255\n            ],\n            [\n              -88.187255859375,\n              38.993572058209466\n            ],\n            [\n              -88.53881835937499,\n              37.52715361723378\n            ],\n            [\n              -89.527587890625,\n              36.5184659896759\n            ],\n            [\n              -89.62646484375,\n              36.4566360115962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Upper Midwest Environmental Sciences Center <br /> U.S. Geological Survey<br /> 2630 Fanta Reed Road<br /> La Crosse, Wisconsin 54603<br /> Phone: (608) 783-6451<br /> <a href=\"http://www.umesc.usgs.gov/ltrmp.html\">http://www.umesc.usgs.gov/ltrmp.html</a></p>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-03-22","noUsgsAuthors":false,"publicationDate":"2016-03-22","publicationStatus":"PW","scienceBaseUri":"56f25e9fe4b0f59b85de7016","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":622549,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169158,"text":"70169158 - 2016 - Spatial genetic structure of Long-tailed Ducks (Clangula hyemalis) among Alaskan, Canadian, and Russian breeding populations","interactions":[],"lastModifiedDate":"2021-08-27T16:20:37.812591","indexId":"70169158","displayToPublicDate":"2016-03-22T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial genetic structure of Long-tailed Ducks (<i>Clangula hyemalis</i>) among Alaskan, Canadian, and Russian breeding populations","title":"Spatial genetic structure of Long-tailed Ducks (Clangula hyemalis) among Alaskan, Canadian, and Russian breeding populations","docAbstract":"<p><span>Arctic ecosystems are changing at an unprecedented rate. How Arctic species are able to respond to such environmental change is partially dependent on the connections between local and broadly distributed populations. For species like the Long-tailed Duck (</span><i>Clangula hyemalis</i><span>), we have limited telemetry and band-recovery information from which to infer population structure and migratory connectivity; however, genetic analyses can offer additional insights. To examine population structure in the Long-tailed Duck, we characterized variation at mtDNA control region and microsatellite loci among four breeding areas in Alaska, Canada, and Russia. We observed significant differences in the variance of mtDNA haplotype frequencies between the Yukon-Kuskokwim Delta (YKD) and the three Arctic locations (Arctic Coastal Plain in Alaska, eastern Siberia, and central Canadian Arctic). However, like most sea duck genetic assessments, our study found no evidence of population structure based on autosomal microsatellite loci. Long-tailed Ducks use multiple wintering areas where pair formation occurs with some populations using both the Pacific and Atlantic Oceans. This situation provides a greater opportunity for admixture across breeding locales, which would likely homogenize the nuclear genome even in the presence of female philopatry. The observed mtDNA differentiation was largely due to the presence of two divergent clades: (A) a clade showing signs of admixture among all breeding locales and (B) a clade primarily composed of YKD samples. We hypothesize that the pattern of mtDNA differentiation reflects some degree of philopatry to the YKD and isolation of two refugial populations with subsequent expansion and admixture. We recommend additional genetic assessments throughout the circumpolar range of Long-tailed Ducks to further quantify aspects of genetic diversity and migratory connectivity in this species.</span></p>","language":"English","publisher":"Arctic Institute of North America","publisherLocation":"Montreal","doi":"10.14430/arctic4548","usgsCitation":"Wilson, R.E., Gust, J., Petersen, M.R., and Talbot, S.L., 2016, Spatial genetic structure of Long-tailed Ducks (Clangula hyemalis) among Alaskan, Canadian, and Russian breeding populations: Arctic, v. 69, no. 1, p. 65-78, https://doi.org/10.14430/arctic4548.","productDescription":"Article: 14 p.; Data Release","startPage":"65","endPage":"78","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058269","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438629,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HX19RJ","text":"USGS data release","linkHelpText":"Long-tailed Duck (Clangula hyemalis) Microsatellite DNA Data, Alaska, Canada, Russia, 1994-2002"},{"id":319212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335474,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7HX19RJ"}],"country":"Canada, Russia, United States","otherGeospatial":"Arctic Coastal Plain, central Canadian Arctic, eastern Siberia, Yukon-Kuskokwim Delta","volume":"69","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-01","publicationStatus":"PW","scienceBaseUri":"56f3be4fe4b0f59b85e02f08","contributors":{"authors":[{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":623264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gust, J. R.","contributorId":167730,"corporation":false,"usgs":false,"family":"Gust","given":"J. R.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":623267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":623265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":623266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169142,"text":"ds983 - 2016 - Water temperature profiles for reaches of the Raging River during summer baseflow, King County, western Washington, July 2015","interactions":[],"lastModifiedDate":"2016-03-23T08:58:18","indexId":"ds983","displayToPublicDate":"2016-03-22T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"983","title":"Water temperature profiles for reaches of the Raging River during summer baseflow, King County, western Washington, July 2015","docAbstract":"<p class=\"p1\">Re-introducing wood into rivers where it was historically removed is one approach to improving habitat conditions in rivers of the Pacific Northwest. The Raging River drainage basin, which flows into the Snoqualmie River at Fall City, western Washington, was largely logged during the 20th century and wood was removed from its channel. To improve habitat conditions for several species of anadromous salmonids that spawn and rear in the Raging River, King County Department of Transportation placed untethered log jams in a 250-meter reach where wood was historically removed. The U.S. Geological Survey measured longitudinal profiles of near-streambed temperature during summer baseflow along 1,026 meters of channel upstream, downstream, and within the area of wood placements. These measurements were part of an effort by King County to monitor the geomorphic and biological responses to these wood placements. Near-streambed temperatures averaged over about 1-meter intervals were measured with a fiber‑optic distributed temperature sensor every 30 minutes for 7 days between July 7 and 13, 2015. Vertical temperature profiles were measured coincident with the longitudinal temperature profile at four locations at 0 centimeters (cm) (at the streambed), and 35 and 70 cm beneath the streambed to document thermal dynamics of the hyporheic zone and surface water in the study reach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds983","collaboration":"Prepared in cooperation with King County Department of Natural Resource and Parks","usgsCitation":"Gendaszek, A.S., and Opatz, C.C., 2016, Water temperature profiles for reaches of the Raging River during summer baseflow, King County, western Washington, July 2015: U.S. Geological Survey Data Series 983, 8 p.,\nhttps://dx.doi.org/10.3133/ds983.","productDescription":"Report: iii, 8 p.; Tables 1-3","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070544","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":319142,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0983/coverthb.jpg"},{"id":319143,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0983/ds983.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 983"},{"id":319144,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0983/ds983_table01.xlsx","text":"Table 1","size":"1.2 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 983 Table 1"},{"id":319145,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0983/ds983_table02.xlsx","text":"Table 2","size":"56 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 983 Table 2"},{"id":319146,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0983/ds983_table03.xlsx","text":"Table 3","size":"70 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 983 Table 3"}],"country":"United States","state":"Washington","county":"King County","otherGeospatial":"Raging River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8639,\n              47.45\n            ],\n            [\n              -121.8639,\n              47.4569\n            ],\n            [\n              -121.8583,\n              47.4569\n            ],\n            [\n              -121.8583,\n              47.45\n            ],\n            [\n              -121.8639,\n              47.45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\">Director</a>, Washington Water Science Center<br /> U.S. Geological Survey<br /> 934 Broadway, Suite 300<br /> Tacoma, Washington 98402<br /> <a href=\"http://wa.water.usgs.gov\" target=\"blank\">http://wa.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Longitudinal Temperature Profile</li>\n<li>Vertical Temperature Profiles</li>\n<li>Distribution of Information</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-03-22","noUsgsAuthors":false,"publicationDate":"2016-03-22","publicationStatus":"PW","scienceBaseUri":"56f25ea4e4b0f59b85de7038","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":623195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Opatz, Chad C. 0000-0002-5272-0195 copatz@usgs.gov","orcid":"https://orcid.org/0000-0002-5272-0195","contributorId":48857,"corporation":false,"usgs":true,"family":"Opatz","given":"Chad","email":"copatz@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":623196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175258,"text":"70175258 - 2016 - A moving target—incorporating knowledge of the spatial ecology of fish into the assessment and management of freshwater fish populations","interactions":[],"lastModifiedDate":"2016-08-03T12:55:00","indexId":"70175258","displayToPublicDate":"2016-03-22T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"A moving target—incorporating knowledge of the spatial ecology of fish into the assessment and management of freshwater fish populations","docAbstract":"<p><span>Freshwater fish move vertically and horizontally through the aquatic landscape for a variety of reasons, such as to find and exploit patchy resources or to locate essential habitats (e.g., for spawning). Inherent challenges exist with the assessment of fish populations because they are moving targets. We submit that quantifying and describing the spatial ecology of fish and their habitat is an important component of freshwater fishery assessment and management. With a growing number of tools available for studying the spatial ecology of fishes (e.g., telemetry, population genetics, hydroacoustics, otolith microchemistry, stable isotope analysis), new knowledge can now be generated and incorporated into biological assessment and fishery management. For example, knowing when, where, and how to deploy assessment gears is essential to inform, refine, or calibrate assessment protocols. Such information is also useful for quantifying or avoiding bycatch of imperiled species. Knowledge of habitat connectivity and usage can identify critically important migration corridors and habitats and can be used to improve our understanding of variables that influence spatial structuring of fish populations. Similarly, demographic processes are partly driven by the behavior of fish and mediated by environmental drivers. Information on these processes is critical to the development and application of realistic population dynamics models. Collectively, biological assessment, when informed by knowledge of spatial ecology, can provide managers with the ability to understand how and when fish and their habitats may be exposed to different threats. Naturally, this knowledge helps to better evaluate or develop strategies to protect the long-term viability of fishery production. Failure to understand the spatial ecology of fishes and to incorporate spatiotemporal data can bias population assessments and forecasts and potentially lead to ineffective or counterproductive management actions.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10661-016-5228-0","usgsCitation":"Cooke, S., Martins, E.G., Struthers, D.P., Gutowsky, L.F., Powers, M.H., Doka, S.E., Dettmers, J.M., Crook, D.A., Lucas, M.C., Holbrook, C., and Krueger, C., 2016, A moving target—incorporating knowledge of the spatial ecology of fish into the assessment and management of freshwater fish populations: Environmental Monitoring and Assessment, v. 188, no. 239, 18 p., https://doi.org/10.1007/s10661-016-5228-0.","productDescription":"18 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073964","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471130,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/file/1387959/1/Accepted%20Journal%20Article","text":"External Repository"},{"id":326047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","issue":"239","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-22","publicationStatus":"PW","scienceBaseUri":"57a315b9e4b006cb45558a20","contributors":{"authors":[{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":644582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martins, Eduardo G","contributorId":173417,"corporation":false,"usgs":false,"family":"Martins","given":"Eduardo","email":"","middleInitial":"G","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":644583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Struthers, Daniel P","contributorId":173418,"corporation":false,"usgs":false,"family":"Struthers","given":"Daniel","email":"","middleInitial":"P","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":644584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gutowsky, Lee F G","contributorId":149696,"corporation":false,"usgs":false,"family":"Gutowsky","given":"Lee","email":"","middleInitial":"F G","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":644585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Michael H. 0000-0002-4480-7856 mhpowers@usgs.gov","orcid":"https://orcid.org/0000-0002-4480-7856","contributorId":851,"corporation":false,"usgs":true,"family":"Powers","given":"Michael","email":"mhpowers@usgs.gov","middleInitial":"H.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":644586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doka, Susan E.","contributorId":173419,"corporation":false,"usgs":false,"family":"Doka","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":644587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettmers, John M.","contributorId":27395,"corporation":false,"usgs":true,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":644588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crook, David A","contributorId":173420,"corporation":false,"usgs":false,"family":"Crook","given":"David","email":"","middleInitial":"A","affiliations":[{"id":12877,"text":"Charles Darwin University","active":true,"usgs":false}],"preferred":false,"id":644589,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lucas, Martyn C.","contributorId":18725,"corporation":false,"usgs":true,"family":"Lucas","given":"Martyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":644590,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644581,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":644591,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70169299,"text":"70169299 - 2016 - Permissible Home Range Estimation (PHRE) in restricted habitats: A new algorithm and an evaluation for sea otters","interactions":[],"lastModifiedDate":"2016-03-24T08:44:05","indexId":"70169299","displayToPublicDate":"2016-03-22T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Permissible Home Range Estimation (PHRE) in restricted habitats: A new algorithm and an evaluation for sea otters","docAbstract":"<p><span>Parametric and nonparametric kernel methods dominate studies of animal home ranges and space use. Most existing methods are unable to incorporate information about the underlying physical environment, leading to poor performance in excluding areas that are not used. Using radio-telemetry data from sea otters, we developed and evaluated a new algorithm for estimating home ranges (hereafter Permissible Home Range Estimation, or &ldquo;PHRE&rdquo;) that reflects habitat suitability. We began by transforming sighting locations into relevant landscape features (for sea otters, coastal position and distance from shore). Then, we generated a bivariate kernel probability density function in landscape space and back-transformed this to geographic space in order to define a permissible home range. Compared to two commonly used home range estimation methods, kernel densities and local convex hulls, PHRE better excluded unused areas and required a smaller sample size. Our PHRE method is applicable to species whose ranges are restricted by complex physical boundaries or environmental gradients and will improve understanding of habitat-use requirements and, ultimately, aid in conservation efforts.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0150547","collaboration":"USFWS","usgsCitation":"Tarjan, L.M., and Tinker, M.T., 2016, Permissible Home Range Estimation (PHRE) in restricted habitats: A new algorithm and an evaluation for sea otters: PLoS ONE, v. 11, no. 3, https://doi.org/10.1371/journal.pone.0150547.","productDescription":"20 p.","startPage":"e0150547","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072967","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471131,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0150547","text":"Publisher Index Page"},{"id":438630,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76H4FH8","text":"USGS data release","linkHelpText":"Geospatial data collected from tagged sea otters in central California, 1998-2012"},{"id":319336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-22","publicationStatus":"PW","scienceBaseUri":"56f50fcce4b0f59b85e1eb77","contributors":{"authors":[{"text":"Tarjan, Lily M","contributorId":167782,"corporation":false,"usgs":false,"family":"Tarjan","given":"Lily","email":"","middleInitial":"M","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":623488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623487,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168728,"text":"ds981 - 2016 - Irrigation water use in Kansas, 2013","interactions":[],"lastModifiedDate":"2016-03-22T10:13:22","indexId":"ds981","displayToPublicDate":"2016-03-22T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"981","title":"Irrigation water use in Kansas, 2013","docAbstract":"<p>This report, prepared by the U.S. Geological Survey in cooperation with the Kansas Department of Agriculture, Division of Water Resources, presents derivative statistics of 2013 irrigation water use in Kansas. The published regional and county-level statistics from the previous 4 years (2009–12) are shown with the 2013 statistics and are used to calculate a 5-year average. An overall Kansas average and regional averages also are calculated and presented. Total reported irrigation water use in 2013 was 3.3 million acre-feet of water applied to 3.0 million irrigated acres.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds981","collaboration":"Prepared in cooperation with the Kansas Department of Agriculture, Division of Water Resources","usgsCitation":"Lanning-Rush, J.L., 2016, Irrigation water use in Kansas, 2013: U.S. Geological Survey Data Series 981, 12 p., https://dx.doi.org/10.3133/ds981.","productDescription":"Report: iv, 12 p.; Tables 6-12; Appendix: 2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070156","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":318889,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0981/ds981.pdf","text":"Report","size":"617 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 981"},{"id":318890,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0981/downloads/ds981_tables6to12.xlsx","text":"Tables 6–12","size":"80 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 981 Tables "},{"id":318888,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0981/coverthb_new.jpg"},{"id":318893,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0981/downloads/ds981_appendix.pdf","text":"Water-Use Report","size":"1.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 981 Appendix"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.29541015625,\n              39.99395569397331\n            ],\n            [\n              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    39.57182223734374\n            ],\n            [\n              -95.042724609375,\n              39.63953756436671\n            ],\n            [\n              -94.9658203125,\n              39.73253798438173\n            ],\n            [\n              -94.910888671875,\n              39.73253798438173\n            ],\n            [\n              -94.888916015625,\n              39.78321267821705\n            ],\n            [\n              -94.910888671875,\n              39.842286020743394\n            ],\n            [\n              -94.95483398437499,\n              39.8928799002948\n            ],\n            [\n              -95.03173828125,\n              39.90973623453719\n            ],\n            [\n              -95.06469726562499,\n              39.87601941962116\n            ],\n            [\n              -95.174560546875,\n              39.926588421909436\n            ],\n            [\n              -95.29541015625,\n              39.99395569397331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;Kansas Water Science Center<br />U.S. Geological Survey&nbsp;<br />4821 Quail Crest Place<br />Lawrence, KS 66049</p>\n<p><a href=\"http://ks.water.usgs.gov\">http://ks.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Annual Irrigation Water-Use Reporting</li><li>Description of Irrigation Water-Use Statistics Calculated</li><li>Surface-Water Ditch Companies and Irrigation Districts</li><li>Summary</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-03-22","noUsgsAuthors":false,"publicationDate":"2016-03-22","publicationStatus":"PW","scienceBaseUri":"56f25e9ee4b0f59b85de700d","contributors":{"authors":[{"text":"Lanning-Rush, Jennifer L. jlanning@usgs.gov","contributorId":5809,"corporation":false,"usgs":true,"family":"Lanning-Rush","given":"Jennifer L.","email":"jlanning@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":621440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70162688,"text":"sir20165010 - 2016 - Seepage investigation of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, 2014","interactions":[],"lastModifiedDate":"2016-03-23T08:29:23","indexId":"sir20165010","displayToPublicDate":"2016-03-22T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5010","title":"Seepage investigation of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, 2014","docAbstract":"<p>Seepage investigations have been conducted annually by the U.S. Geological Survey from 1988 to 1998 and from 2004 to the present (2014) along a 64-mile reach of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, as part of the Mesilla Basin monitoring program. Results of the investigation conducted in 2014 are presented in this report. The 2014 seepage investigation was conducted on February 11, 2014, during the low-flow conditions of the non-irrigation season. During the 2014 investigation, discharge was measured at 23 sites along the main-stem Rio Grande and 19 inflow sites within the study reach. Because of extended drought conditions affecting the basin, many sites along the Rio Grande (17 main-stem and 9 inflow) were observed to be dry in February 2014. Water-quality samples were collected during the seepage investigation at sites with flowing water as part of a long-term monitoring effort in the region.</p><p>Net seepage gain or loss was computed for each subreach (the interval between two adjacent measurement locations along the river) by subtracting the discharge measured at the upstream location from the discharge measured at the closest downstream location along the river and then subtracting any inflow to the river within the subreach. An estimated gain or loss was determined to be meaningful when it exceeded the cumulative measurement uncertainty associated with the net seepage computation. The cumulative seepage loss in the 64-mile study reach in 2014 was 16.0 plus or minus 2.9 cubic feet per second.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165010","usgsCitation":"Briody, A.C., Robertson, A.J., and Thomas, Nicole, 2016, Seepage investigation of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, 2014: U.S. Geological Survey Scientific Investigations Report 2016–5010, 15 p., https://dx.doi.org/10.3133/sir20165010.","productDescription":"Report: vi, 12 p., Appendix: 3 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068494","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":319116,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5010/coverthb.jpg"},{"id":319117,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5010/sir20165010.pdf","text":"Report","size":"3.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5010"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Rio Grande","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.9,\n              32.5\n            ],\n            [\n              -106.9,\n              31.75\n            ],\n            [\n              -106.5,\n              31.75\n            ],\n            [\n              -106.5,\n              32.5\n            ],\n            [\n              -106.9,\n              32.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, New Mexico Water Science Center<br>U.S. Geological Survey<br>5338 Montogmery Blvd., NE Suite 400<br>Albuquerque, NM 87109–1311</p><p><a href=\"http://nm.water.usgs.gov/\" data-mce-href=\"http://nm.water.usgs.gov/\">http://nm.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Seepage Investigation</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Select field measurements and observations, Rio Grande seepage investigation, 2014</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-03-22","noUsgsAuthors":false,"publicationDate":"2016-03-22","publicationStatus":"PW","scienceBaseUri":"56f25ea1e4b0f59b85de7028","contributors":{"authors":[{"text":"Briody, Alyse C. abriody@usgs.gov","contributorId":152675,"corporation":false,"usgs":true,"family":"Briody","given":"Alyse","email":"abriody@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":590135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":590136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nicole nithomas@usgs.gov","contributorId":5649,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicole","email":"nithomas@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":590137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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