{"pageNumber":"1137","pageRowStart":"28400","pageSize":"25","recordCount":165359,"records":[{"id":70158994,"text":"sir20155147 - 2015 - Characterization of hydrology and water quality of Piceance Creek in the Alkali Flat area, Rio Blanco County, Colorado, March 2012","interactions":[],"lastModifiedDate":"2015-12-07T14:55:23","indexId":"sir20155147","displayToPublicDate":"2015-12-07T11:00:00","publicationYear":"2015","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":"2015-5147","title":"Characterization of hydrology and water quality of Piceance Creek in the Alkali Flat area, Rio Blanco County, Colorado, March 2012","docAbstract":"

Previous studies by the U.S. Geological Survey identified Alkali Flat as an area of groundwater upwelling, with increases in concentrations of total dissolved solids, and streamflow loss, but additional study was needed to better characterize these observations. The U.S. Geological Survey, in cooperation with the Bureau of Land Management, White River Field Office, conducted a study to characterize the hydrology and water quality of Piceance Creek in the Alkali Flat area of Rio Blanco County, Colorado.

\n

Water-quality samples were collected at five springs on March 27, 2012, to determine field properties, major ions, trace elements, and stable isotopes of water. Major-ion and trace-element chemistry indicated that the springs sampled as part of this study were likely recharged by the bedrock aquifer. Isotopic values for the springs plotted close to that of groundwater from the Parachute Creek Member of the Green River Formation, and the isotopic values from both of these sources are similar to the values for Grand Mesa snow. Based on fluoride, lithium, and strontium concentrations, one spring appeared to have different source water than the other four springs. The spring also had higher concentrations of calcium, magnesium, and sulfate relative to the other four springs. Trace-element and major-ion data indicate that this spring was sourced from the Uinta Formation. It was likely the other four springs were primarily sourced from the lower part of the Parachute Creek Member of the Green River Formation as indicated by low sulfate concentrations and high fluoride, lithium, and boron concentrations.

\n

Water-quality samples were collected at 16 surface-water-quality sites on March 14, 2012, to determine field properties, major ions, and trace elements. Sodium was the dominant cation and concentrations increased steadily from upstream to downstream along the study reach. Calcium, magnesium, and potassium concentrations remained relatively stable along the study reach. Strontium concentrations were relatively stable along the study reach, whereas boron and lithium concentrations increased appreciably at site PC22031 and remained elevated to the end of the study reach.

\n

Loading profiles were used to further refine areas of spring and groundwater input and streamflow gains and losses. Although there was a minor gain in streamflow from sites PC21543 to PC21816 (58 to 59 cubic feet per second (ft3/s) during March 2014), the observed increase in dissolved solids load indicated groundwater contribution to Piceance Creek between these two sites. From sites PC22737 to PC22980, dissolved solids load decreased, which was not observed in concentration profiles and indicated that streamflow loss occurred between these two sites. Barium, boron, lithium, and strontium loads showed similar patterns to that of the major ions along the study reach and indicated similar areas of groundwater gain and loss. Boron and lithium load were not observed to decrease in a similar pattern to that of barium and strontium load which would suggest the contribution to the stream from sources with similar chemistry to that of spring sites PCSP2 through PCSP5. Sodium, chloride, and bicarbonate loads increased and decreased along the study reach in a pattern similar to that of dissolved solids load. A chemical mass balance was used to estimate the amount of groundwater and (or) spring water that contributed to the observed changes in water quality along Piceance Creek. This analysis indicated only 5 percent spring water would need to reach Piceance Creek to result in the observed changes in water quality.

\n

Instantaneous streamflow was measured from sites PC20133 to PC23721 during field reconnaissance (February 2012) and during synoptic sampling (March 2012). During both February and March, the study reach from sites PC20133 to PC23721 was a losing reach with net losses that ranged from 0.5 ft3/s (February) to 3 ft3/s (March). Observed changes in streamflow along the study reach helped to depict interactions between groundwater and surface water in the Alkali Flat area.

\n

Water-quality samples were collected at five surface-water sites in December 2010 that were sampled as part of a previous USGS study in 2000. Water-quality data collected during December 2010 showed no appreciable difference from water-quality data collected during December 2000 at the five sites.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20155147","collaboration":"Prepared in cooperation with the Bureau of Land Management, White River Field Office","usgsCitation":"Thomas, J.C., 2015, Characterization of hydrology and water quality of Piceance Creek in the Alkali Flat area, Rio Blanco County, Colorado, March 2012: U.S. Geological Survey Scientific Investigations Report 2015–5147, 23 p., https://dx.doi.org/10.3133/sir20155147.","productDescription":"iv, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065008","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":311970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5147/sir20155147.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5147"},{"id":311969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5147/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"Rio Blanco County","otherGeospatial":"Alkali Flat Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109,\n 39\n ],\n [\n -109,\n 40.1\n ],\n [\n -107.8,\n 40.1\n ],\n [\n -107.8,\n 39\n ],\n [\n -109,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
http://co.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adafe4b06a3ea36c8ae2","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159881,"text":"ofr20151205 - 2015 - Hydrodynamic assessment data associated with the July 2010 line 6B spill into the Kalamazoo River, Michigan, 2012–14","interactions":[],"lastModifiedDate":"2018-01-08T12:32:18","indexId":"ofr20151205","displayToPublicDate":"2015-12-07T09:15:00","publicationYear":"2015","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":"2015-1205","title":"Hydrodynamic assessment data associated with the July 2010 line 6B spill into the Kalamazoo River, Michigan, 2012–14","docAbstract":"

Hydrodynamic-assessment data for the Kalamazoo River were collected by the U.S. Geological Survey (USGS) during 2012–14 to augment other hydrodynamic data-collection efforts by Enbridge Energy L.P. and the U.S. Environmental Protection Agency associated with the 2010 Enbridge Line 6B oil spill. Specifically, the USGS data-collection efforts were focused on additional background data needed for 2013–14 updates to Enbridge’s 2012 hydrodynamic and sediment-transport models for simulating resuspension and deposition of submerged oil. The main data-collection activities consisted of the following along the Kalamazoo River: (1) a survey done by use of a Real-Time Network Global Navigation Satellite System, (2) water-level measurements in impounded sections, (3) velocity, discharge, and bathymetry measurements at transects and stationary points along the oil-affected reach of the river and in Morrow Delta and Lake, (4) estimates of tributary inflows, and (5) suspended-sediment concentrations and particle-size data at USGS streamgages along the Kalamazoo River. The method used to estimate bed shear stress from stationary velocity data is described. Averaged transect-based velocity data that were processed to match model grids also are included. In addition to model inputs and checks, these hydrodynamic-related data were used in submerged oil containment and recovery operations focused in impoundments and designated sediment traps. This report contains a description of the scope and methods associated with the hydrodynamic data collection and supplementary files of the USGS data that were used in modeling activities.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151205","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Reneau, P.C., Soong, D.T., Hoard, C.J., and Fitzpatrick, F.A., 2015, Hydrodynamic-assessment data associated with the July 2010 Line 6B spill into the Kalamazoo River, Michigan, 2012–14: U.S. Geological Survey Open-File Report 2015–1205, 26 p., https://dx.doi.org/10.3133/ofr20151205.","productDescription":"Report: v, 26 p.; 4 Appendixes","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059841","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":311838,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1205/ofr20151205.pdf","text":"Report","size":"8.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1205"},{"id":311837,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1205/coverthb.jpg"},{"id":311868,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads","text":"Report Appendixes - Downloads","size":"772 MB","description":"OFR 2015-1205"},{"id":311843,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixc.xlsx","text":"Appendix C - Tributary Inflows Estimates","size":"1.51 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1205"},{"id":311842,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixb/ofr20151205_appendixb.zip","text":"Appendix B - Velocity, Discharge and Bathymetry Data","size":"225 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1205","linkHelpText":"Downloads include raw and processed
data in a variety of formats described in text
B1 June 2012 data (13.4 MB)
B2 August 2012 data (40.0 MB)
B3 April 2013 data (463.0 MB)
B4 Model confirmation velocities (9.89 MB)"},{"id":311841,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixa/ofr20151205_appendixa.xlsx","text":"Appendix A - Water Level Data","size":"17.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1205","linkHelpText":"2013-911 Kalamazoo 2013 All Stage Recorder Data"},{"id":311844,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixd/ofr20151205_appendixd.zip","text":"Appendix D - Suspended-Sediment Data","size":"279 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1205"}],"country":"United States","state":"Michigan","otherGeospatial":"Kalamazoo River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.60409545898438,\n 42.187829010590825\n ],\n [\n -85.60409545898438,\n 42.37680737157286\n ],\n [\n -84.825439453125,\n 42.37680737157286\n ],\n [\n -84.825439453125,\n 42.187829010590825\n ],\n [\n -85.60409545898438,\n 42.187829010590825\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, Wisconsin 53562
http://wi.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adb7e4b06a3ea36c8ae4","contributors":{"authors":[{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":150163,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","email":"dsoong@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150164,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580871,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159032,"text":"cir1418 - 2015 - Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 2. Landscape level restoration decisions","interactions":[],"lastModifiedDate":"2017-11-22T15:50:13","indexId":"cir1418","displayToPublicDate":"2015-12-07T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1418","title":"Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 2. Landscape level restoration decisions","docAbstract":"

Sagebrush steppe ecosystems in the United States currently (2015) occur on only about one-half of their historical land area because of changes in land use, urban growth, and degradation of land, including invasions of non-native plants. The existence of many animal species depends on the existence of sagebrush steppe habitat. The greater sage-grouse (Centrocercus urophasianus) is a landscape-dependent bird that requires intact habitat and combinations of sagebrush and perennial grasses to exist. In addition, other sagebrush-obligate animals also have similar requirements and restoration of landscapes for greater sage-grouse also will benefit these animals. Once sagebrush lands are degraded, they may require restoration actions to make those lands viable habitat for supporting sagebrush-obligate animals.

\n

Land managers do not have resources to restore all locations because of the extent of the restoration need and because some land uses are not likely to change, therefore, restoration decisions made at the landscape to regional scale may improve the effectiveness of restoration to achieve landscape and local restoration objectives. We present a landscape restoration decision tool intended to assist decision makers in determining landscape objectives, to identify and prioritize landscape areas where sites for priority restoration projects might be located, and to aid in ultimately selecting restoration sites guided by criteria used to define the landscape objectives. The landscape restoration decision tool is structured in five sections that should be addressed sequentially. Each section has a primary question or statement followed by related questions and statements to assist the user in addressing the primary question or statement. This handbook will guide decision makers through the important process steps of identifying appropriate questions, gathering appropriate data, developing landscape objectives, and prioritizing landscape patches where potential sites for restoration projects may be located. Once potential sites are selected, land managers can move to the site-specific decision tool to guide restoration decisions at the site level.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1418","isbn":"9781411339972","collaboration":"Prepared in cooperation with U.S. Joint Fire Science Program and National Interagency Fire Center, Bureau of Land Management, Great Northern Landscape Conservation, and Western Association of Fish and Wildlife Agencies","usgsCitation":"Pyke, D.A., Knick, S.T., Chambers, J.C., Pellant, M., Miller, R.F., Beck, J.L., Doescher, P.S., Schupp, E.W., Roundy,\nB.A., Brunson, M., and McIver, J.D., 2015, Restoration handbook for sagebrush steppe ecosystems with emphasis\non greater sage-grouse habitat—Part 2. Landscape level restoration decisions: U.S. Geological Survey Circular 1418,\n21 p., https://dx.doi.org/10.3133/cir1418.","productDescription":"vi, 21 p.","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061720","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":337389,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/cir1416","text":"Circular 1416 –","linkHelpText":"Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 1. Concepts for understanding and applying restoration"},{"id":311669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1418/coverthb.jpg"},{"id":337390,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/cir1426","text":"Circular 1426 –","linkHelpText":"Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 3. Site level restoration decisions"},{"id":311670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1418/circ1418.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1418 PDF"}],"country":"United States","state":"California, Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.025390625,\n 37.75334401310656\n ],\n [\n -121.025390625,\n 48.980216985374994\n ],\n [\n -104.1064453125,\n 48.980216985374994\n ],\n [\n -104.1064453125,\n 37.75334401310656\n ],\n [\n -121.025390625,\n 37.75334401310656\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adbbe4b06a3ea36c8ae8","contributors":{"authors":[{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":577547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":577548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":577549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellant, Mike","contributorId":83856,"corporation":false,"usgs":true,"family":"Pellant","given":"Mike","affiliations":[],"preferred":false,"id":577550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Richard F.","contributorId":12964,"corporation":false,"usgs":true,"family":"Miller","given":"Richard F.","affiliations":[],"preferred":false,"id":577551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Jeffrey L.","contributorId":93316,"corporation":false,"usgs":true,"family":"Beck","given":"Jeffrey L.","affiliations":[],"preferred":false,"id":577552,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doescher, Paul S.","contributorId":100306,"corporation":false,"usgs":true,"family":"Doescher","given":"Paul S.","affiliations":[],"preferred":false,"id":577553,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schupp, Eugene W.","contributorId":83455,"corporation":false,"usgs":true,"family":"Schupp","given":"Eugene W.","affiliations":[],"preferred":false,"id":577554,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roundy, Bruce A.","contributorId":95824,"corporation":false,"usgs":true,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":577555,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brunson, Mark","contributorId":65781,"corporation":false,"usgs":true,"family":"Brunson","given":"Mark","affiliations":[],"preferred":false,"id":577556,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McIver, James D.","contributorId":147424,"corporation":false,"usgs":false,"family":"McIver","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":577557,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70160382,"text":"70160382 - 2015 - Stratigraphy and paleogeographic significance of a Late Pennsylvanian to Early Permian channeled slope sequence in the Darwin Basin, southern Darwin Hills, east-central California","interactions":[],"lastModifiedDate":"2015-12-21T11:14:29","indexId":"70160382","displayToPublicDate":"2015-12-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and paleogeographic significance of a Late Pennsylvanian to Early Permian channeled slope sequence in the Darwin Basin, southern Darwin Hills, east-central California","docAbstract":"

The complex stratigraphy of late Paleozoic rocks in the southern Darwin Hills consists of regionally extensive Mississippian and Early to Middle Pennsylvanian rocks overlain by latest Pennsylvanian to Early Permian rocks, herein called the Darwin Hills sequence. Deposition of this latter sequence marked the beginning of the Darwin Basin. In Mississippian time, a carbonate platform prograded westward over slightly older slope deposits. In the Late Mississippian this platform was exposed to erosion and siliciclastic sediments were deposited. In Early to Middle Pennsylvanian time the area subsided, forming a west-facing ramp that was subjected to deformation and erosion in Middle or early Late Pennsylvanian time. Later this area was tilted westward and deep-water sediments were deposited on this slope. In latest Pennsylvanian to earliest Permian time, a major channel was cut through the older Pennsylvanian rocks and into the Upper Mississippian strata. This channel was gradually filled with increasingly finer grained, deep-water sediment as the area evolved into a basin floor by Early Permian (Sakmarian) time. Expansion of the Darwin Basin in Artinskian time led to a second phase of deposition represented by strata of the regionally extensive Darwin Canyon Formation. The geology in this small area thus documents tectonic events occurring during the early development of the Darwin Basin.

","language":"English","publisher":"Micropaleontology Press","collaboration":"San Jose State University","usgsCitation":"Stevens, C., Stone, P., Magginetti, R.T., and Ritter, S.M., 2015, Stratigraphy and paleogeographic significance of a Late Pennsylvanian to Early Permian channeled slope sequence in the Darwin Basin, southern Darwin Hills, east-central California: Stratigraphy, v. 12, no. 2, p. 185-196.","productDescription":"12 p.","startPage":"185","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069648","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":312604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312601,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1946","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Argus Range, Death Valley, Inyo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.5,\n 35.5\n ],\n [\n -118.5,\n 37.5\n ],\n [\n -116.5,\n 37.5\n ],\n [\n -116.5,\n 35.5\n ],\n [\n -118.5,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb5a0","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":582775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":582774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magginetti, Robert T.","contributorId":8532,"corporation":false,"usgs":true,"family":"Magginetti","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritter, Scott M.","contributorId":150726,"corporation":false,"usgs":false,"family":"Ritter","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":582777,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160383,"text":"70160383 - 2015 - Architecture and evolution of an Early Permian carbonate complex on a tectonically active island in east-central California","interactions":[],"lastModifiedDate":"2015-12-21T10:14:06","indexId":"70160383","displayToPublicDate":"2015-12-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Architecture and evolution of an Early Permian carbonate complex on a tectonically active island in east-central California","docAbstract":"

The newly named Upland Valley Limestone represents a carbonate complex that developed on and adjacent to a tectonically active island in east-central California during a brief interval of Early Permian (late Artinskian) time. This lithologically unique, relatively thin limestone unit lies within a thick sequence of predominantly siliciclastic rocks and is characterized by its high concentration of crinoidal debris, pronounced lateral changes in thickness and lithofacies, and a largely endemic fusulinid fauna. Most outcrops represent a carbonate platform and debris derived from it and shed downslope, but another group of outcrops represents one or possibly more isolated carbonate buildups that developed offshore from the platform. Tectonic activity in the area occurred before, probably during, and after deposition of this short-lived carbonate complex.

","language":"English","publisher":"Micropaleontology Press; Micropaleontology Press Foundation, Inc.","usgsCitation":"Stevens, C., Magginetti, R.T., and Stone, P., 2015, Architecture and evolution of an Early Permian carbonate complex on a tectonically active island in east-central California: Stratigraphy, v. 12, p. 167-182.","productDescription":"16 p.","startPage":"167","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053129","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":312586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312581,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1945"}],"country":"United States","state":"California","otherGeospatial":"East-central California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.82424926757811,\n 36.421282443649496\n ],\n [\n -117.40264892578124,\n 36.465471886798134\n ],\n [\n -117.29415893554686,\n 36.10681461011844\n ],\n [\n -117.75970458984374,\n 36.09349937380574\n ],\n [\n -117.82424926757811,\n 36.421282443649496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930bee4b0da412f4fb535","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":582888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magginetti, Robert T.","contributorId":8532,"corporation":false,"usgs":true,"family":"Magginetti","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":582887,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160381,"text":"70160381 - 2015 - Regional implications of new chronostratigraphic and paleogeographic data from the Early Permian Darwin Basin, east-central California","interactions":[],"lastModifiedDate":"2015-12-21T10:08:15","indexId":"70160381","displayToPublicDate":"2015-12-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Regional implications of new chronostratigraphic and paleogeographic data from the Early Permian Darwin Basin, east-central California","docAbstract":"

The Darwin Basin developed in response to episodic subsidence of the western margin of the Cordilleran continental shelf from Late Pennsylvanian (Gzhelian) to Early Permian (late Artinskian) time. Subsidence of the basin was initiated in response to continental truncation farther to the west and was later augmented by thrust emplacement of the Last Chance allochthon. This deep-water basin was filled by voluminous fine-grained siliciclastic turbidites and coarse-grained limestone-gravity-flow deposits. Most of this sediment was derived from the Bird Spring carbonate shelf and cratonal platform to the northeast or east, but some came from an offshore tectonic ridge (Conglomerate Mesa Uplift) to the west that formed at the toe of the Last Chance allochthon. At one point in the late Artinskian the influx of extrabasinal sediment was temporarily cut off, resulting in deposition of a unique black limestone that allows precise correlation throughout the basin. Deep-water sedimentation in the Darwin Basin ended by Kungurian time when complex shallow-water to continental sedimentary facies spread across the region. Major expansion of the Darwin Basin occurred soon after the middle Sakmarian emplacement of the Last Chance allochthon. This tectonic event was approximately coeval with deformation in northeastern Nevada that formed the deep-water Dry Mountain Trough. We herein interpret the two basins to have been structurally continuous. Deposition of the unique black limestone is interpreted to mark a eustatic sea level rise that also can be recognized in Lower Permian sections in east-central Nevada and central Arizona.

","language":"English","publisher":"Micropaleontology Press Foundation, Inc.","usgsCitation":"Stevens, C., Stone, P., and Magginetti, R.T., 2015, Regional implications of new chronostratigraphic and paleogeographic data from the Early Permian Darwin Basin, east-central California: Stratigraphy, v. 12, p. 149-166.","productDescription":"18 p.","startPage":"149","endPage":"166","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051976","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":312580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312579,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1944"}],"country":"United States","state":"California","otherGeospatial":"Darwin Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.04833984375001,\n 36.85325222344018\n ],\n [\n -118.817138671875,\n 36.74768773190056\n ],\n [\n -118.58642578124999,\n 35.55904339525896\n ],\n [\n -116.79565429687499,\n 35.764343479667176\n ],\n [\n -117.04833984375001,\n 36.85325222344018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d1e4b0da412f4fb58a","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":582772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":582771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magginetti, Robert T.","contributorId":8532,"corporation":false,"usgs":true,"family":"Magginetti","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582773,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160624,"text":"70160624 - 2015 - Occupancy estimation for rare species using a spatially-adaptive sampling design","interactions":[],"lastModifiedDate":"2016-08-03T13:12:27","indexId":"70160624","displayToPublicDate":"2015-12-06T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy estimation for rare species using a spatially-adaptive sampling design","docAbstract":"

Summary

\n

1. Spatially clustered populations create unique challenges for conservation monitoring programmes. Advances in methodology typically are focused on either the design or the modelling stage of the study but do not involve integration of both.

\n

2. We integrate adaptive cluster sampling and spatial occupancy modelling by developing two models to handle the dependence induced by cluster sampling. We compare these models to scenarios using simple random sampling and traditional occupancy models via simulation and data collected on a rare plant species, Tamarix ramosissima, found in China.

\n

3. Our simulations show a marked improvement in confidence interval coverage for the new models combined with cluster sampling compared to simple random sampling and traditional occupancy models, with greatest improvement in the presence of low detection probability and spatial correlation in occupancy.

\n

4. Accounting for the design using the simple cluster random-effects model reduces bias considerably, and full spatial modelling reduces bias further, especially for large n when the spatial covariance parameters can be estimated reliably. Both new models build on the strength of occupancy modelling and adaptive sampling and perform at least as well, and often better, than occupancy modelling alone.

\n

5. We believe our approach is unique and potentially useful for a variety of studies directed at patchily distributed, clustered or rare species exhibiting spatial variation.

","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/2041-210X.12499","collaboration":"Krishna Pacifici; Brian Reich; Michael Conroy","usgsCitation":"Pacifici, K., Reich, B.J., Dorazio, R., and Conroy, M.J., 2015, Occupancy estimation for rare species using a spatially-adaptive sampling design: Methods in Ecology and Evolution, v. 7, no. 3, p. 285-293, https://doi.org/10.1111/2041-210X.12499.","productDescription":"9 p.","startPage":"285","endPage":"293","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066383","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12499","text":"Publisher Index Page"},{"id":312878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-06","publicationStatus":"PW","scienceBaseUri":"56826b46e4b0a04ef4925b8b","contributors":{"authors":[{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":583365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":583366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":149286,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":583364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conroy, Michael J.","contributorId":20871,"corporation":false,"usgs":false,"family":"Conroy","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":583367,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168643,"text":"70168643 - 2015 - A hybrid model for mapping relative differences in belowground biomass and root: Shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh","interactions":[],"lastModifiedDate":"2016-02-22T14:05:39","indexId":"70168643","displayToPublicDate":"2015-12-05T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A hybrid model for mapping relative differences in belowground biomass and root: Shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh","docAbstract":"

Broad-scale estimates of belowground biomass are needed to understand wetland resiliency and C and N cycling, but these estimates are difficult to obtain because root:shoot ratios vary considerably both within and between species. We used remotely-sensed estimates of two aboveground plant characteristics, aboveground biomass and % foliar N to explore biomass allocation in low diversity freshwater impounded peatlands (Sacramento-San Joaquin River Delta, CA, USA). We developed a hybrid modeling approach to relate remotely-sensed estimates of % foliar N (a surrogate for environmental N and plant available nutrients) and aboveground biomass to field-measured belowground biomass for species specific and mixed species models. We estimated up to 90% of variation in foliar N concentration using partial least squares (PLS) regression of full-spectrum field spectrometer reflectance data. Landsat 7 reflectance data explained up to 70% of % foliar N and 67% of aboveground biomass. Spectrally estimated foliar N or aboveground biomass had negative relationships with belowground biomass and root:shoot ratio in both Schoenoplectus acutus and Typha, consistent with a balanced growth model, which suggests plants only allocate growth belowground when additional nutrients are necessary to support shoot development. Hybrid models explained up to 76% of variation in belowground biomass and 86% of variation in root:shoot ratio. Our modeling approach provides a method for developing maps of spatial variation in wetland belowground biomass.

\n

.

","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs71215837","usgsCitation":"Jessica L. O'Connell, Byrd, K.B., and Kelly, M., 2015, A hybrid model for mapping relative differences in belowground biomass and root: Shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh: Remote Sensing, v. 12, no. 7, p. 16480-16503, https://doi.org/10.3390/rs71215837.","productDescription":"24 p.","startPage":"16480","endPage":"16503","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059688","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs71215837","text":"Publisher Index Page"},{"id":318288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mayberry Slough, Sacramento-San Joaquin River Delta, Sherman Island, Twitchell Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.6,\n 38.2\n ],\n [\n -121.6,\n 38\n ],\n [\n -121.8,\n 38\n ],\n [\n -121.8,\n 38.2\n ],\n [\n -121.6,\n 38.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-05","publicationStatus":"PW","scienceBaseUri":"56cc3f3ce4b059daa47e4388","contributors":{"authors":[{"text":"Jessica L. O'Connell","contributorId":167125,"corporation":false,"usgs":false,"family":"Jessica L. O'Connell","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":621138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":621137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Maggi","contributorId":150360,"corporation":false,"usgs":false,"family":"Kelly","given":"Maggi","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":621139,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159476,"text":"ofr20151206 - 2015 - Coastwide Reference Monitoring System (CRMS) Vegetation Volume Index: An assessment tool for marsh habitat focused on the three-dimensional structure at CRMS vegetation monitoring stations","interactions":[],"lastModifiedDate":"2015-12-07T08:57:56","indexId":"ofr20151206","displayToPublicDate":"2015-12-04T11:30:00","publicationYear":"2015","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":"2015-1206","title":"Coastwide Reference Monitoring System (CRMS) Vegetation Volume Index: An assessment tool for marsh habitat focused on the three-dimensional structure at CRMS vegetation monitoring stations","docAbstract":"

A Vegetation Volume (VV) variable and Vegetation Volume Index (VVI) have been developed for the Coastwide Reference Monitoring System (CRMS). The VV is a measure of the amount of three-dimensional vegetative structure present at each CRMS site and is based on vegetation data collected annually. The VV uses 10 stations per CRMS site to quantify four vegetation layers: carpet, herbaceous, shrub, and tree. For each layer an overall live vegetation percent cover and height are collected to create a layer volume; the individual layer volumes are then summed to generate a site vegetation volume profile. The VV uses the two-dimensional area of live vegetative cover (in square meters) multiplied by the height (in meters) of each layer to produce a volume (in cubic meters) for each layer present in a 2-meter by 2-meter station. These layers are additive, yielding a total volume for each of the 10 herbaceous vegetation stations and an overall CRMS marsh site average.

\n

The VV is an assessment of the quantity of vegetation present and is directly related to plant community structure. The VV differs from the previously developed Floristic Quality Index (FQI) in that the VV makes no assumptions about vegetation quality, giving each species equal weight; the FQI scores species with consistent site fidelity more favorably. We adapted the VV data into the VVI, which creates a representative score for all coastal marsh types. A VV and VVI will be generated annually for CRMS site, project, and basin-level analysis. The index is designed to assess areas undergoing habitat conversion, creation, and disturbance and to document project effectiveness when goals are to create, increase, or maintain emergent vegetation.

\n

The VV and VVI will be used to establish trends, to make comparisons, and to evaluate restoration projects. Assessments that rely on the VVI will be included in appropriate Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) project reports and analyses. Implementation of the VVI will give coastal managers a new tool to design, implement, and monitor coastal restoration projects. A yearly trajectory of site, project, basin, and coastwide VVI will be posted on the CRMS Web site as data are collected. The primary purpose of the tool is to assess CWPPRA restoration project effectiveness, but it will also be useful in identifying areas in need of restoration and in coastwide vegetation assessments.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151206","collaboration":"Prepared in cooperation with the Coastal Wetlands Planning, Protection and Restoration Act Task Force","usgsCitation":"Wood, W.B., Visser, J.M., Piazza, S.C., Sharp, L.A., Hundy, L.C., and McGinnis, T.E., 2015, Coastwide Reference Monitoring System (CRMS) Vegetation Volume Index—An assessment tool for marsh habitat focused on the three-dimensional structure at CRMS vegetation monitoring stations: U.S. Geological Survey Open-File Report 2015–1206, 14 p., https://dx.doi.org/10.3133/ofr20151206.","productDescription":"iv, 14 p.","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065105","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":311813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1206/coverthb.jpg"},{"id":311814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1206/ofr20151206.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1206"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.944091796875,\n 28.92163128242129\n ],\n [\n -93.944091796875,\n 30.609549797190844\n ],\n [\n -88.96728515624999,\n 30.609549797190844\n ],\n [\n -88.96728515624999,\n 28.92163128242129\n ],\n [\n -93.944091796875,\n 28.92163128242129\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd
Lafayette, LA 70506
http://www.nwrc.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2015-12-04","noUsgsAuthors":false,"publicationDate":"2015-12-04","publicationStatus":"PW","scienceBaseUri":"5662b931e4b06a3ea36c679c","contributors":{"authors":[{"text":"Wood, William B.","contributorId":149675,"corporation":false,"usgs":false,"family":"Wood","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":17778,"text":"Coastal Protection and Restoration Authority of Louisiana","active":true,"usgs":false}],"preferred":false,"id":579127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":579128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piazza, Sarai C. 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":466,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":579126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharp, Leigh A.","contributorId":43879,"corporation":false,"usgs":true,"family":"Sharp","given":"Leigh A.","affiliations":[],"preferred":false,"id":579129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hundy, Laura C.","contributorId":149676,"corporation":false,"usgs":false,"family":"Hundy","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":579130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGinnis, Tommy E.","contributorId":149677,"corporation":false,"usgs":false,"family":"McGinnis","given":"Tommy E.","affiliations":[{"id":17778,"text":"Coastal Protection and Restoration Authority of Louisiana","active":true,"usgs":false}],"preferred":false,"id":579131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159961,"text":"70159961 - 2015 - Using a Bayesian network to predict barrier island geomorphologic characteristics","interactions":[],"lastModifiedDate":"2016-01-25T16:10:29","indexId":"70159961","displayToPublicDate":"2015-12-04T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Using a Bayesian network to predict barrier island geomorphologic characteristics","docAbstract":"

Quantifying geomorphic variability of coastal environments is important for understanding and describing the vulnerability of coastal topography, infrastructure, and ecosystems to future storms and sea level rise. Here we use a Bayesian network (BN) to test the importance of multiple interactions between barrier island geomorphic variables. This approach models complex interactions and handles uncertainty, which is intrinsic to future sea level rise, storminess, or anthropogenic processes (e.g., beach nourishment and other forms of coastal management). The BN was developed and tested at Assateague Island, Maryland/Virginia, USA, a barrier island with sufficient geomorphic and temporal variability to evaluate our approach. We tested the ability to predict dune height, beach width, and beach height variables using inputs that included longer-term, larger-scale, or external variables (historical shoreline change rates, distances to inlets, barrier width, mean barrier elevation, and anthropogenic modification). Data sets from three different years spanning nearly a decade sampled substantial temporal variability and serve as a proxy for analysis of future conditions. We show that distinct geomorphic conditions are associated with different long-term shoreline change rates and that the most skillful predictions of dune height, beach width, and beach height depend on including multiple input variables simultaneously. The predictive relationships are robust to variations in the amount of input data and to variations in model complexity. The resulting model can be used to evaluate scenarios related to coastal management plans and/or future scenarios where shoreline change rates may differ from those observed historically.

","language":"English","publisher":"Wiley","doi":"10.1002/2015JF003671","usgsCitation":"Gutierrez, B.T., Plant, N.G., Thieler, E.R., and Turecek, A., 2015, Using a Bayesian network to predict barrier island geomorphologic characteristics: Journal of Geophysical Research, v. 120, no. 12, p. 2452-2475, https://doi.org/10.1002/2015JF003671.","productDescription":"24 p.","startPage":"2452","endPage":"2475","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049088","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jf003671","text":"Publisher Index Page"},{"id":311958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland and Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1025390625,\n 38.32334305552793\n ],\n [\n -75.157470703125,\n 38.23710146774334\n ],\n [\n -75.19317626953125,\n 38.18098951438852\n ],\n [\n -75.1959228515625,\n 38.13239618602296\n ],\n [\n -75.27008056640625,\n 38.05566088242076\n ],\n [\n -75.29754638671875,\n 38.00698412839117\n ],\n [\n -75.31539916992188,\n 37.97234987199528\n ],\n [\n -75.33187866210936,\n 37.93553306183642\n ],\n [\n -75.3826904296875,\n 37.90411590881245\n ],\n [\n -75.39779663085938,\n 37.86943313301452\n ],\n [\n -75.39230346679688,\n 37.84883250647402\n ],\n [\n -75.3497314453125,\n 37.86509663749013\n ],\n [\n -75.1739501953125,\n 38.11943249695316\n ],\n [\n -75.08880615234375,\n 38.3211882645322\n ],\n [\n -75.09292602539062,\n 38.32765244536364\n ],\n [\n -75.1025390625,\n 38.32334305552793\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-04","publicationStatus":"PW","scienceBaseUri":"5662b935e4b06a3ea36c679e","chorus":{"doi":"10.1002/2015jf003671","url":"http://dx.doi.org/10.1002/2015jf003671","publisher":"Wiley-Blackwell","authors":"Gutierrez Benjamin T., Plant Nathaniel G., Thieler E. Robert, Turecek Aaron","journalName":"Journal of Geophysical Research: Earth Surface","publicationDate":"12/2015"},"contributors":{"authors":[{"text":"Gutierrez, Benjamin T. 0000-0002-1879-7893 bgutierrez@usgs.gov","orcid":"https://orcid.org/0000-0002-1879-7893","contributorId":2924,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Benjamin","email":"bgutierrez@usgs.gov","middleInitial":"T.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":581203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turecek, Aaron aturecek@usgs.gov","contributorId":4940,"corporation":false,"usgs":true,"family":"Turecek","given":"Aaron","email":"aturecek@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581205,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191891,"text":"70191891 - 2015 - Underwater videography outperforms above-water videography and in-person surveys for monitoring the spawning of Devils Hole Pupfish","interactions":[],"lastModifiedDate":"2017-10-18T16:30:19","indexId":"70191891","displayToPublicDate":"2015-12-04T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Underwater videography outperforms above-water videography and in-person surveys for monitoring the spawning of Devils Hole Pupfish","docAbstract":"

The monitoring of threatened and endangered fishes in remote environments continues to challenge fisheries biologists. The endangered Devils Hole Pupfish Cyprinodon diabolis, which is confined to a single warm spring in Death Valley National Park, California–Nevada, has recently experienced record declines, spurring renewed conservation and recovery efforts. In February–December 2010, we investigated the timing and frequency of spawning in the species' native habitat by using three survey methods: underwater videography, above-water videography, and in-person surveys. Videography methods incorporated fixed-position, solar-powered cameras to record continuous footage of a shallow rock shelf that Devils Hole Pupfish use for spawning. In-person surveys were conducted from a platform placed above the water's surface. The underwater camera recorded more overall spawning throughout the year (mean ± SE = 0.35 ± 0.06 events/sample) than the above-water camera (0.11 ± 0.03 events/sample). Underwater videography also recorded more peak-season spawning (March: 0.83 ± 0.18 events/sample; April: 2.39 ± 0.47 events/sample) than above-water videography (March: 0.21 ± 0.10 events/sample; April: 0.9 ± 0.32 events/sample). Although the overall number of spawning events per sample did not differ significantly between underwater videography and in-person surveys, underwater videography provided a larger data set with much less variability than data from in-person surveys. Fixed videography was more cost efficient than in-person surveys (\\$1.31 versus \\$605 per collected data-hour), and underwater videography provided more usable data than above-water videography. Furthermore, video data collection was possible even under adverse conditions, such as the extreme temperatures of the region, and could be maintained successfully with few study site visits. Our results suggest that self-contained underwater cameras can be efficient tools for monitoring remote and sensitive aquatic ecosystems.

","language":"English","publisher":"Informa UK Limited","doi":"10.1080/02755947.2015.1094155","usgsCitation":"Chaudoin, A.L., Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2015, Underwater videography outperforms above-water videography and in-person surveys for monitoring the spawning of Devils Hole Pupfish: North American Journal of Fisheries Management, v. 35, no. 6, p. 1252-1262, https://doi.org/10.1080/02755947.2015.1094155.","productDescription":"11 p.","startPage":"1252","endPage":"1262","ipdsId":"IP-069027","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Ash Meadows National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.29220902919769,\n 36.42484356033192\n ],\n [\n -116.29077136516571,\n 36.42484356033192\n ],\n [\n -116.29077136516571,\n 36.42601761391104\n ],\n [\n -116.29220902919769,\n 36.42601761391104\n ],\n [\n -116.29220902919769,\n 36.42484356033192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-04","publicationStatus":"PW","scienceBaseUri":"59e8683ae4b05fe04cd4d222","contributors":{"authors":[{"text":"Chaudoin, Ambre L.","contributorId":197535,"corporation":false,"usgs":false,"family":"Chaudoin","given":"Ambre","email":"","middleInitial":"L.","affiliations":[{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":713691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":713692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159920,"text":"70159920 - 2015 - Paleoreconstruction of organic carbon inputs to an oxbow lake in the Mississippi River watershed: Effects of dam construction and land use change on regional inputs","interactions":[],"lastModifiedDate":"2015-12-03T15:54:03","indexId":"70159920","displayToPublicDate":"2015-12-03T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Paleoreconstruction of organic carbon inputs to an oxbow lake in the Mississippi River watershed: Effects of dam construction and land use change on regional inputs","docAbstract":"

We use a dated sediment core from Lake Whittington (USA) in the lower Mississippi River to reconstruct linkages in the carbon cycling and fluvial sediment dynamics over the past 80 years. Organic carbon (OC) sources were characterized using bulk (δ13C, ramped pyrolysis-oxidation (PyrOx) 14C, δ15N, and TN:OC ratios) and compound-specific (lignin phenols and fatty acids, including δ13C and 14C of the fatty acids) analyses. Damming of the Missouri River in the 1950s, other hydrological modifications to the river, and soil conservation measures resulted in reduced net OC export, in spite of increasing OC concentrations. Decreasing δ13C values coincided with increases in δ15N, TN:OC ratios, long-chain fatty acids, and lignin-phenol concentrations, suggesting increased inputs of soil-derived OC dominated by C3 vegetation, mainly resulting from changes in farming practices and crop distribution. However, ramped PyrOx 14C showed no discernible differences downcore in thermochemical stability, indicating a limited impact on soil OC turnover.

","language":"English","publisher":"AGU","doi":"10.1002/2015GL065595","usgsCitation":"Bianchi, T.S., Galy, V., Rosenheim, B.E., Shields, M., Cui, X., and Van Metre, P., 2015, Paleoreconstruction of organic carbon inputs to an oxbow lake in the Mississippi River watershed: Effects of dam construction and land use change on regional inputs: Geophysical Research Letters, v. 42, no. 19, p. 7983-7991, https://doi.org/10.1002/2015GL065595.","productDescription":"9 p.","startPage":"7983","endPage":"7991","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066306","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":471580,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl065595","text":"Publisher Index Page"},{"id":311893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Lake Whittington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.15837097167967,\n 33.65420905128059\n ],\n [\n -91.15837097167967,\n 33.72334023851457\n ],\n [\n -91.02739334106445,\n 33.72334023851457\n ],\n [\n -91.02739334106445,\n 33.65420905128059\n ],\n [\n -91.15837097167967,\n 33.65420905128059\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"19","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-10","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c5663","contributors":{"authors":[{"text":"Bianchi, Thomas S.","contributorId":150225,"corporation":false,"usgs":false,"family":"Bianchi","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":581051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galy, Valier","contributorId":150226,"corporation":false,"usgs":false,"family":"Galy","given":"Valier","email":"","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":581052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenheim, Brad E.","contributorId":150227,"corporation":false,"usgs":false,"family":"Rosenheim","given":"Brad","email":"","middleInitial":"E.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":581053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":581054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cui, Xingquan","contributorId":150229,"corporation":false,"usgs":false,"family":"Cui","given":"Xingquan","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":581055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159928,"text":"70159928 - 2015 - Evaluation of a formula that categorizes female gray wolf breeding status by nipple size","interactions":[],"lastModifiedDate":"2017-09-08T10:20:22","indexId":"70159928","displayToPublicDate":"2015-12-03T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a formula that categorizes female gray wolf breeding status by nipple size","docAbstract":"

The proportion by age class of wild Canis lupus (Gray Wolf) females that reproduce in any given year remains unclear; thus, we evaluated the applicability to our long-term (1972–2013) data set of the Mech et al. (1993) formula that categorizes female Gray Wolf breeding status by nipple size and time of year. We used the formula to classify Gray Wolves from 68 capture events into 4 categories (yearling, adult non-breeder, former breeder, current breeder). To address issues with small sample size and variance, we created an ambiguity index to allow some Gray Wolves to be classed into 2 categories. We classified 20 nipple measurements ambiguously: 16 current or former breeder, 3 former or adult non-breeder, and 1 yearling or adult non-breeder. The formula unambiguously classified 48 (71%) of the nipple measurements; based on supplemental field evidence, at least 5 (10%) of these were incorrect. When used in conjunction with an ambiguity index we developed and with corrections made for classifications involving very large nipples, and supplemented with available field evidence, the Mech et al. (1993) formula provided reasonably reliable classification of breeding status in wild female Gray Wolves.

","language":"English","publisher":"Northeastern Naturalist","doi":"10.1656/045.022.0402","usgsCitation":"Barber-Meyer, S., and Mech, L.D., 2015, Evaluation of a formula that categorizes female gray wolf breeding status by nipple size: Northeastern Naturalist, v. 22, no. 4, p. 652-657, https://doi.org/10.1656/045.022.0402.","productDescription":"6 p.","startPage":"652","endPage":"657","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060793","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Superior National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.812744140625,\n 47.58764167941513\n ],\n [\n -90.0274658203125,\n 47.58764167941513\n ],\n [\n -90.0274658203125,\n 48.17707562779612\n ],\n [\n -91.812744140625,\n 48.17707562779612\n ],\n [\n -91.812744140625,\n 47.58764167941513\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-18","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c565f","contributors":{"authors":[{"text":"Barber-Meyer, Shannon M. 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":147904,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon M.","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":581093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":581094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159914,"text":"70159914 - 2015 - Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations","interactions":[],"lastModifiedDate":"2017-01-18T09:55:38","indexId":"70159914","displayToPublicDate":"2015-12-03T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations","docAbstract":"

Accurately estimating aboveground vegetation biomass productivity is essential for local ecosystem assessment and best land management practice. Satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. A 250-m grassland biomass productivity map for the Greater Platte River Basin had been developed based on the relationship between Moderate Resolution Imaging Spectroradiometer (MODIS) GSN and Soil Survey Geographic (SSURGO) annual grassland productivity. However, the 250-m MODIS grassland biomass productivity map does not capture detailed ecological features (or patterns) and may result in only generalized estimation of the regional total productivity. Developing a high or moderate spatial resolution (e.g., 30-m) productivity map to better understand the regional detailed vegetation condition and ecosystem services is preferred. The 30-m Landsat data provide spatial detail for characterizing human-scale processes and have been successfully used for land cover and land change studies. The main goal of this study is to develop a 30-m grassland biomass productivity estimation map for central Nebraska, leveraging 250-m MODIS GSN and 30-m Landsat data. A rule-based piecewise regression GSN model based on MODIS and Landsat (r = 0.91) was developed, and a 30-m MODIS equivalent GSN map was generated. Finally, a 30-m grassland biomass productivity estimation map, which provides spatially detailed ecological features and conditions for central Nebraska, was produced. The resulting 30-m grassland productivity map was generally supported by the SSURGO biomass production map and will be useful for regional ecosystem study and local land management practices.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.10.018","usgsCitation":"Gu, Y., and Wylie, B.K., 2015, Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations: Remote Sensing of Environment, v. 171, p. 291-298, https://doi.org/10.1016/j.rse.2015.10.018.","productDescription":"8 p.","startPage":"291","endPage":"298","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068578","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":311883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.162353515625,\n 41.00477542222949\n ],\n [\n -100.162353515625,\n 42.52879629320373\n ],\n [\n -96.624755859375,\n 42.52879629320373\n ],\n [\n -96.624755859375,\n 41.00477542222949\n ],\n [\n -100.162353515625,\n 41.00477542222949\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"171","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b8e4b06a3ea36c565b","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":581015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":581016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159909,"text":"70159909 - 2015 - Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","interactions":[],"lastModifiedDate":"2018-10-24T16:48:05","indexId":"70159909","displayToPublicDate":"2015-12-03T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","title":"Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","docAbstract":"

The recent surge of megathrust earthquakes and tsunami disasters has highlighted the need for a comprehensive understanding of earthquake cycles along convergent plate boundaries. Space geodesy has been used to document recent crustal deformation patterns with unprecedented precision, however the production of long paleogeodetic records of vertical seafloor motion is still a major challenge. Here we show that carbon isotope ratios (\"View) in the skeletons of massive Porites   corals from west Sumatra record abrupt changes in light exposure resulting from coseismic seafloor displacements. Validation of the method is based on the coral \"View response to uplift (and subsidence) produced by the March 2005 Mw 8.6 Nias–Simeulue earthquake, and uplift further south around Sipora Island during a M∼8.4 megathrust earthquake in February 1797. At Nias, the average step-change in coral \"View was 0.6±0.1‰/m for coseismic displacements of +1.8 m and −0.4 m in 2005. At Sipora, a distinct change in Porites  microatoll growth morphology marks coseismic uplift of 0.7 m in 1797. In this shallow water setting, with a steep light attenuation gradient, the step-change in microatoll \"View is2.3‰/m, nearly four times greater than for the Nias Porites  . Considering the natural variability in coral skeletal \"View, we show that the lower detection limit of the method is around 0.2 m of vertical seafloor motion. Analysis of vertical displacement for well-documented earthquakes suggests this sensitivity equates to shallow events exceedingMw∼7.2 in central megathrust and back-arc thrust fault settings. Our findings indicate that the coral \"View paleogeodesy technique could be applied to convergent tectonic margins throughout the tropical western Pacific and eastern Indian oceans, which host prolific coral reefs, and some of the world's greatest earthquake catastrophes. While our focus here is the link between coral \"View, light exposure and coseismic crustal deformation, the same principles could be used to characterize interseismic strain during earthquake cycles over the last several millennia.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2015.10.002","usgsCitation":"Gagan, M.K., Sosdian, S.M., Scott-Gagan, H., Sieh, K., Hantoro, W.S., Natawidjaja, D.H., Briggs, R.W., Suwargadi, B.W., and Rifai, H., 2015, Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra: Earth and Planetary Science Letters, v. 432, p. 461-471, https://doi.org/10.1016/j.epsl.2015.10.002.","productDescription":"11 p.","startPage":"461","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069679","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":311886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 95.4052734375,\n -4.696879026871413\n ],\n [\n 102.0849609375,\n -4.696879026871413\n ],\n [\n 102.0849609375,\n 3.1076061013287033\n ],\n [\n 95.4052734375,\n 3.1076061013287033\n ],\n [\n 95.4052734375,\n -4.696879026871413\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"432","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5659","contributors":{"authors":[{"text":"Gagan, Michael K.","contributorId":150200,"corporation":false,"usgs":false,"family":"Gagan","given":"Michael","email":"","middleInitial":"K.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":581095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sosdian, Sindia M.","contributorId":150201,"corporation":false,"usgs":false,"family":"Sosdian","given":"Sindia","email":"","middleInitial":"M.","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":581096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott-Gagan, Heather","contributorId":150202,"corporation":false,"usgs":false,"family":"Scott-Gagan","given":"Heather","email":"","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":581097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sieh, Kerry","contributorId":7280,"corporation":false,"usgs":true,"family":"Sieh","given":"Kerry","affiliations":[],"preferred":false,"id":581098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hantoro, Wahyoe S.","contributorId":150203,"corporation":false,"usgs":false,"family":"Hantoro","given":"Wahyoe","email":"","middleInitial":"S.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Natawidjaja, Danny H.","contributorId":150204,"corporation":false,"usgs":false,"family":"Natawidjaja","given":"Danny","email":"","middleInitial":"H.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":581101,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Suwargadi, Bambang W.","contributorId":150205,"corporation":false,"usgs":false,"family":"Suwargadi","given":"Bambang","email":"","middleInitial":"W.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581102,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rifai, Hamdi","contributorId":150206,"corporation":false,"usgs":false,"family":"Rifai","given":"Hamdi","affiliations":[{"id":17942,"text":"State University of Padang","active":true,"usgs":false}],"preferred":false,"id":581103,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159917,"text":"70159917 - 2015 - Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach","interactions":[],"lastModifiedDate":"2019-06-03T13:22:56","indexId":"70159917","displayToPublicDate":"2015-12-03T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach","docAbstract":"

Whether a waterway is temporary or permanent influences regulatory protection guidelines, however, classification can be subjective due to a combination of factors, including time of year, antecedent moisture conditions, and previous experience of the field investigator. Our objective was to develop a standardized protocol using publicly available spatial information to classify ephemeral, intermittent, and perennial streams. Our hypothesis was that field observations of flow along the stream channel could be compared to results from a hydrologic model, providing an objective method of how these stream reaches can be identified. Flow-state sensors were placed at ephemeral, intermittent, and perennial stream reaches from May to December 2011 in the Appalachian coal basin of eastern Kentucky. This observed flow record was then used to calibrate the simulated saturation deficit in each channel reach based on the topographic wetness index used by TOPMODEL. Saturation deficit values were categorized as flow or no-flow days, and the simulated record of streamflow was compared to the observed record. The hydrologic model was more accurate for simulating flow during the spring and fall seasons. However, the model effectively identified stream reaches as intermittent and perennial in each of the two basins.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12352","usgsCitation":"Williamson, T., Agouridis, C.T., Barton, C.D., Villines, J.A., and Lant, J.G., 2015, Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach: Journal of the American Water Resources Association, v. 51, no. 6, p. 1739-1759, https://doi.org/10.1111/1752-1688.12352.","productDescription":"21 p.","startPage":"1739","endPage":"1759","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051282","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":311879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-18","publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5655","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agouridis, Carmen T. 0000-0001-9580-6143","orcid":"https://orcid.org/0000-0001-9580-6143","contributorId":150223,"corporation":false,"usgs":false,"family":"Agouridis","given":"Carmen","email":"","middleInitial":"T.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villines, Jonathan A.","contributorId":150224,"corporation":false,"usgs":false,"family":"Villines","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lant, Jeremiah G. 0000-0001-6688-4820 jlant@usgs.gov","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":4912,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"jlant@usgs.gov","middleInitial":"G.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159003,"text":"sir20155151 - 2015 - Regression Equations for Monthly and Annual Mean and Selected Percentile Streamflows for Ungaged Rivers in Maine","interactions":[],"lastModifiedDate":"2015-12-31T10:46:01","indexId":"sir20155151","displayToPublicDate":"2015-12-03T12:00:00","publicationYear":"2015","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":"2015-5151","title":"Regression Equations for Monthly and Annual Mean and Selected Percentile Streamflows for Ungaged Rivers in Maine","docAbstract":"

In an effort to delineate hydrologic conditions in Maine, the U.S. Geological Survey, in cooperation with the Maine Department of Transportation, used streamflow data to develop dependent variables for 130 regression equations for estimating monthly and annual mean and 1, 5, 10, 25, 50, 75, 90, 95, and 99 percentile streamflows for ungaged, unregulated rivers in Maine. Daily streamflow data from 24 rural unregulated basins with drainage areas between 14.9 and 1,419 square miles in Maine and northern New Hampshire were used in the derivation of the equations. Streamflow data collected from October 1, 1982, through September 30, 2012, were used to derive the dependent variables for this study to represent current [2015] hydrologic conditions in Maine and northern New Hampshire. Weighted least squares regression techniques were used to derive the final coefficients and measures of uncertainty for the regression equations. Eight basin characteristics serve as the explanatory variables: drainage area, distance from the coast, mean and maximum basin elevation, mean basin slope, mean basin percentage of hydrologic soil group A, fraction of sand and gravel aquifers, and percentage of open water.

\n

The largest average errors of prediction are associated with regression equations for the lowest streamflows derived for months during which the lowest streamflows of the year occur (such as the 5 and 1 monthly percentiles for August and September). The regression equations have been derived on the basis of streamflow and basin characteristics data for unregulated, rural drainage basins without substantial streamflow or drainage modifications (for example, diversions and (or) regulation by dams or reservoirs, tile drainage, irrigation, channelization, and impervious paved surfaces), therefore using the equations for regulated or urbanized basins with substantial streamflow or drainage modifications will yield results of unknown error. Input basin characteristics derived using techniques or datasets other than those documented in this report or using values outside the ranges used to develop these regression equations also will yield results of unknown error.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155151","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Dudley, R.W., 2015, Regression equations for monthly and annual mean and selected percentile streamflows for ungaged rivers in Maine (ver. 1.1, December 21, 2015): U.S. Geological Survey Scientific Investigations Report 2015–5151, 35 p., https://dx.doi.org/10.3133/sir20155151.","productDescription":"viii, 35 p.","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066284","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":311685,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5151/sir20155151.pdf","text":"Report","size":"8.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5151"},{"id":312572,"rank":3,"type":{"id":25,"text":"Version 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\"}}]}","edition":"Version 1: Originally posted December 3, 2015; Version 1.1: December 21, 2015","contact":"

Director, New England Water Science Center
U.S. Geological Survey
196 Whitten Road
Augusta, ME 04330

\n

Or visit our Web site at:
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","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2015-12-03","revisedDate":"2015-12-21","noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c5665","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577237,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159903,"text":"70159903 - 2015 - Uranium-series ages of fossil corals from Mallorca, Spain: The \"Neotyrrhenian\" high stand of the Mediterranean Sea revisited","interactions":[],"lastModifiedDate":"2018-02-08T12:50:18","indexId":"70159903","displayToPublicDate":"2015-12-03T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Uranium-series ages of fossil corals from Mallorca, Spain: The \"Neotyrrhenian\" high stand of the Mediterranean Sea revisited","docAbstract":"

The emergent marine deposits of the Mediterranean basin have been recognized as an important record of Quaternary sea level history for more than a century. Previous workers identified what have been interpreted to be two separate high stands of sea in the late Quaternary, namely the “Eutyrrhenian” (thought to be ~ 120 ka) and the “Neotyrrhenian” (thought to be either ~ 100 ka or ~ 80 ka). On Mallorca, Spain, both of these named deposits lie close to present sea level, implying paleo-sea levels slightly above present during both marine isotope stages (MIS) 5.5/5e and either 5.3/5c or 5.1/5a. If these interpretations are correct, they conflict, at least in part, with sea level records from far-field localities.

\n

We analyzed corals from the Neotyrrhenian beds on Mallorca, which gave U-series ages from ~ 126 ka to ~ 118 ka. These ages are consistent with previously published amino acid data that show that the Neotyrrhenian and Eutyrrhenian deposits are not significantly different in age. A fossil molluscan fauna from the Neotyrrhenian deposits on Mallorca has a warm-water paleozoogeographic aspect, with nine southward-ranging species and four extralimital southern species. When compared with sea surface temperatures obtained from planktonic foraminifera and alkenones from ODP core 977 in the nearby Alboran Sea, the only time period that shows comparable warmth is MIS 5.5/5e, consistent with the U-series ages of corals from the Neotyrrhenian deposits. We propose that the Neotyrrhenian deposits are a beachrock facies of the same age as the Eutyrrhenian deposits. This interpretation is consistent with the differences in physical sedimentology of the two deposits, explains the U-series and amino acid data indicating the same age, is consistent with the very slight elevation difference of the Neotyrrhenian and Eutyrrhenian beds, and explains the similar, though not identical paleozoogeographic aspects of their fossil faunas.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2015.06.043","usgsCitation":"Muhs, D., Simmons, K., and Porat, N., 2015, Uranium-series ages of fossil corals from Mallorca, Spain: The \"Neotyrrhenian\" high stand of the Mediterranean Sea revisited: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 438, p. 408-424, https://doi.org/10.1016/j.palaeo.2015.06.043.","productDescription":"17 p.","startPage":"408","endPage":"424","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061716","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471581,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10553/17947","text":"External Repository"},{"id":311854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","state":"Mallorca","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 2.142333984375,\n 39.14710270770074\n ],\n [\n 2.142333984375,\n 40.111688665595956\n ],\n [\n 3.515625,\n 40.111688665595956\n ],\n [\n 3.515625,\n 39.14710270770074\n ],\n [\n 2.142333984375,\n 39.14710270770074\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"438","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167bae4b06a3ea36c5669","contributors":{"authors":[{"text":"Muhs, Daniel R. dmuhs@usgs.gov","contributorId":140959,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":580965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simmons, Kathleen R. ksimmons@usgs.gov","contributorId":140955,"corporation":false,"usgs":true,"family":"Simmons","given":"Kathleen R.","email":"ksimmons@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":580973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porat, Naomi","contributorId":13886,"corporation":false,"usgs":true,"family":"Porat","given":"Naomi","affiliations":[],"preferred":false,"id":580974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159876,"text":"70159876 - 2015 - Surveillance potential of non-native Hawaiian birds for detection of West Nile Virus","interactions":[],"lastModifiedDate":"2015-12-03T10:12:15","indexId":"70159876","displayToPublicDate":"2015-12-03T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance potential of non-native Hawaiian birds for detection of West Nile Virus","docAbstract":"

West Nile virus (WNV) was first detected in North America in 1999. Alaska and Hawaii (HI) remain the only U.S. states in which transmission of WNV has not been detected. Dead bird surveillance has played an important role in the detection of the virus geographically, as well as temporally. In North America, corvids have played a major role in WNV surveillance; however, the only corvid in HI is the endangered Hawaiian crow that exists only in captivity, thus precluding the use of this species for WNV surveillance in HI. To evaluate the suitability of alternate avian species for WNV surveillance, we experimentally challenged seven abundant non-native bird species present in HI with WNV and compared mortality, viremia, oral shedding of virus, and seroconversion. For detection of WNV in oral swabs, we compared viral culture, reverse-transcriptase polymerase chain reaction, and the RAMP® test. For detection of antibodies to WNV, we compared an indirect and a competitive enzyme-linked immunoassay. We found four species (house sparrow, house finch, Japanese white-eye, and Java sparrow) that may be useful in dead bird surveillance for WNV; while common myna, zebra dove, and spotted dove survived infection and may be useful in serosurveillance.

","language":"English","doi":"10.4269/ajtmh.14-0590","usgsCitation":"Hofmeister, E.K., Dusek, R., and Brand, C.J., 2015, Surveillance potential of non-native Hawaiian birds for detection of West Nile Virus: American Journal of Tropical Medicine and Hygiene, v. 93, no. 4, p. 701-708, https://doi.org/10.4269/ajtmh.14-0590.","productDescription":"8 p.","startPage":"701","endPage":"708","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065156","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":471582,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4269/ajtmh.14-0590","text":"External Repository"},{"id":311852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167bae4b06a3ea36c5667","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":140396,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert J.","email":"rdusek@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":580855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Christopher J. cbrand@usgs.gov","contributorId":1186,"corporation":false,"usgs":true,"family":"Brand","given":"Christopher","email":"cbrand@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580856,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159894,"text":"70159894 - 2015 - Estimating regional landbird populations from enhanced North American Breeding Bird Surveys","interactions":[],"lastModifiedDate":"2015-12-03T09:31:03","indexId":"70159894","displayToPublicDate":"2015-12-03T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating regional landbird populations from enhanced North American Breeding Bird Surveys","docAbstract":"

Estimating the size of bird populations is central to effective conservation planning and prudent management. I updated estimated regional bird populations for the East Gulf Coastal Plain of Mississippi using data from 275 North American Breeding Bird Surveys from 2009 to 2013. However, regional bird populations estimated from count surveys of breeding birds may be biased due to lack of empirical knowledge of the distance at which a species is effectively detected and the probability of detecting a species if it is present. I used data recorded within two distance classes (0–50 m and >50–400 m) and three 1-min time intervals on 130 Breeding Bird Surveys to estimate detection probability and effective detection distance for 77 species. Incorporating these empirical estimates of detection probability and detection distance resulted in estimated regional populations for these species that were markedly greater than regional populations estimated without species-specific estimates of detection parameters. Using the same Breeding Bird Survey data, I also estimated probability of site occupancy for 66 species and extrapolated this to the proportion of area occupied in the East Gulf Coastal Plain of Mississippi. I combined the area occupied with the reported range of breeding territory size for 54 species to obtain independent estimates of regional bird populations. Although the true population of these species is unknown, estimated populations that incorporated empirical estimates of detection probability and detection distance were more likely to be within the range of independently estimated, occupancy-based, regional population estimates than were population estimates that lacked empirical detection and distance information.

","language":"English","doi":"10.1111/jofo.12118","usgsCitation":"Twedt, D.J., 2015, Estimating regional landbird populations from enhanced North American Breeding Bird Surveys: Journal of Field Ornithology, v. 86, no. 4, p. 352-368, https://doi.org/10.1111/jofo.12118.","productDescription":"17 p.","startPage":"352","endPage":"368","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058291","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.39599609375,\n 30.363396239603716\n ],\n [\n -88.472900390625,\n 31.868227816180674\n ],\n [\n -88.099365234375,\n 34.89944783005726\n ],\n [\n -88.209228515625,\n 35.007502842952896\n ],\n [\n -90.15380859375,\n 34.99850370014629\n ],\n [\n -90.054931640625,\n 34.89494244739732\n ],\n [\n -90.0933837890625,\n 34.773203753940734\n ],\n [\n -90.0714111328125,\n 34.619647359797185\n ],\n [\n -90.0274658203125,\n 34.492975402501536\n ],\n [\n -89.9176025390625,\n 34.17999758688084\n ],\n [\n -89.879150390625,\n 33.89321737944089\n ],\n [\n -89.8187255859375,\n 33.5459730276919\n ],\n [\n -89.9560546875,\n 33.23409295522519\n ],\n [\n -90.24169921875,\n 32.90726224488304\n ],\n [\n -90.47241210937499,\n 32.62549671451373\n ],\n [\n -90.9613037109375,\n 32.310348764525806\n ],\n [\n -91.175537109375,\n 32.194208672875355\n ],\n [\n -91.109619140625,\n 32.091882620021785\n ],\n [\n -91.19750976562499,\n 31.970803930433096\n ],\n [\n -91.318359375,\n 31.840232667909365\n ],\n [\n -91.47216796875,\n 31.700129553985924\n ],\n [\n -91.58203125,\n 31.606609719226917\n ],\n [\n -91.505126953125,\n 31.522361470421437\n ],\n [\n -91.58203125,\n 31.38177878211098\n ],\n [\n -91.571044921875,\n 31.28793989264176\n ],\n [\n -91.68090820312499,\n 31.25037814985571\n ],\n [\n -91.60400390625,\n 31.11879439598953\n ],\n [\n -91.636962890625,\n 30.977609093348686\n ],\n [\n -89.71435546875,\n 31.005862904624205\n ],\n [\n -89.84619140625,\n 30.770159115784214\n ],\n [\n -89.835205078125,\n 30.609549797190844\n ],\n [\n -89.703369140625,\n 30.439202087235607\n ],\n [\n -89.56054687499999,\n 30.135626231134612\n ],\n [\n -89.3408203125,\n 30.278044377800153\n ],\n [\n -89.000244140625,\n 30.38235321766959\n ],\n [\n -88.83544921874999,\n 30.38235321766959\n ],\n [\n -88.681640625,\n 30.315987718557867\n ],\n [\n -88.61572265625,\n 30.363396239603716\n ],\n [\n -88.48388671874999,\n 30.29701788337205\n ],\n [\n -88.39599609375,\n 30.363396239603716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"566167b8e4b06a3ea36c565d","contributors":{"authors":[{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":580929,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159537,"text":"ofr20151211 - 2015 - California State Waters Map Series — Offshore of Fort Ross, California","interactions":[],"lastModifiedDate":"2022-04-18T21:34:02.125304","indexId":"ofr20151211","displayToPublicDate":"2015-12-03T08:00:00","publicationYear":"2015","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":"2015-1211","title":"California State Waters Map Series — Offshore of Fort Ross, California","docAbstract":"

Introduction

\n

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 the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, 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.

\n

The Offshore of Fort Ross map area is located in northern California, on the Pacific coast of Sonoma County, about 90 km north of San Francisco and 60 km south of Point Arena. The onshore part of the map area is largely undeveloped, used primarily for grazing and recreation; the small town of Jenner (population, 136), located at the mouth of the Russian River, is the largest cultural center. The coast and shoreline are rugged and scenic, characterized by rocky promontories, kelp-rich coves, and nearshore rocks and sea stacks. U.S. Highway 1 extends along the coast through the map area, crossing the Russian River and passing through Sonoma Coast State Park and Fort Ross State Historic Park.

\n

The Offshore of Fort Ross map area is cut by the northwest-striking San Andreas Fault, the right-lateral transform boundary between the North American and Pacific plates. The fault intersects the shoreline a few kilometers south of Fort Ross at Timber Gulch, and it juxtaposes Jurassic, Cretaceous, Paleocene, and Eocene rocks of the Franciscan Complex to the northeast and Tertiary sedimentary rocks to the southwest. In this area, the San Andreas Fault has an estimated slip rate of 17 to 24 mm/yr. The devastating great 1906 California earthquake (M7.8) is thought to have nucleated on the San Andreas Fault offshore of San Francisco, about 90 km to the south, with the rupture extending northward through the Offshore of Fort Ross map area to the south flank of Cape Mendocino. Approximately 3.6 m of lateral offset occurred at Timber Gulch during this event.

\n

The San Andreas Fault has an important influence on coastal geomorphology. The coastline in the northern part of the map area, southwest of the onshore San Andreas Fault, is characterized by steep shoreline bluffs and as many as four uplifted, relatively flat marine terraces that range in elevation from about 15 to 100 m. Northeast of the San Andreas Fault, about 12 km of coastline is marked by steep, landslide-prone cliffs that commonly are 200 to 300 m high.

\n

The mouth of the Russian River and its estuary cut through the steep coastal topography in the southern part of the Offshore of Fort Ross map area. The Russian River drains a large watershed (3,470 km2), and it has an annual discharge of about 2 km3 (1,600,000 acre-feet) and an annual sediment load of about 900,000 metric tons. The map area is part of the Russian River littoral cell, in which the predominant longshore drift is to the south. Small pocket beaches are most common along the shoreline, but longer linear beaches are present near the mouth of the Russian River.

\n

The seafloor in the north half of the map area is characterized by rocky outcrops of Tertiary sedimentary rocks. The rugged nearshore zone and the inner shelf area (to water depths of about 50 m) typically slopes gently seaward, whereas the smooth midshelf area within California’s State Waters (about 50 to 85 m deep) is relatively flat. In contrast, the nearshore to midshelf area in the south half of the map area, which lies directly offshore of the mouth of the Russian River, has a more uniform, relatively flat slope. Shallow-marine and shelf sediments were deposited in the last about 21,000 years during the sea-level rise that followed the Last Glacial Maximum (LGM). Sea level was about 125 m lower than present during the LGM, at which time the entire Offshore of Fort Ross map area was emergent and the shoreline was about 20 km west of its present location.

\n

Circulation over the continental shelf in the map area (and in the broader northern California region) is dominated by the southward-flowing California Current, the eastern limb of the North Pacific Gyre. Associated upwelling brings cool, nutrient-rich waters to the surface, resulting in high biological productivity. The current flow generally is southeastward during the spring and summer; however, during the fall and winter, the otherwise persistent northwest winds are sometimes weak or absent, causing the California Current to move farther offshore and the Davidson Current, a weaker, northward-flowing countercurrent, to become active.

\n

Throughout the year, this part of the northern California coast is exposed to four wave climate regimes: the north Pacific swell, the southern swell, northwest wind waves, and local wind waves. The north Pacific swell dominates in winter months (typically November through March). During summer months, the largest waves come from the southern swell, generated by storms in the south Pacific and offshore of Central America. Northwest wind waves affect the coast throughout the year, whereas local wind waves are most common from October to April.

\n

Potential marine benthic habitat types in the Offshore of Fort Ross map area include unconsolidated continental-shelf sediments, mixed continental-shelf substrate, and hard continental-shelf substrate. Rocky shelf outcrops and rubble are considered the primary habitat type for rockfish and lingcod, both of which are recreationally and commercially important species.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151211","usgsCitation":"Johnson, S.Y., Dartnell, P., Golden, N.E., Hartwell, S.R., Erdey, M.D., Greene, H.G., Cochrane, G.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Watt, J.T., Krigsman, L.M., Sliter, R.W., Lowe, E.N., and Chin, J.L. (S.Y. Johnson and S.A. Cochran, eds.), 2015, California State Waters Map Series — Offshore of Fort Ross, California: U.S. Geological Survey Open-File Report 2015–1211, pamphlet 37 p., 10 sheets, scale 1:24,000, https://dx.doi.org/10.3133/ofr20151211.","productDescription":"Pamphlet: iv, 37 p.; 10 Sheets: 47.0 x 36.0 inches or smaller; Data Catalog; Metadata","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056321","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":399011,"rank":21,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103728.htm"},{"id":311811,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 9 PDF","linkHelpText":"Local (Offshore of Fort Ross Map Area) and Regional (Offshore from Salt Point to Drakes Bay) Shallow-Subsurface Geology and Structure, California By Samuel Y. Johnson, Stephen R. Hartwell, Janet T. Watt, and Ray W. Sliter"},{"id":311810,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 8 PDF","linkHelpText":"Seismic-Reflection Profiles, Offshore of Fort Ross Map Area, California by Samuel Y. Johnson, Ray W. Sliter, Stephen R. Hartwell, and John L. Chin"},{"id":311809,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 7 PDF","linkHelpText":"Potential Marine Benthic Habitats, Offshore of Fort Ross Map Area, California By Bryan E. Dieter, H. Gary Greene, Charles A. Endris, Mercedes D. Erdey, and Erik N. 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Watt and others."},{"id":311817,"rank":15,"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":311816,"rank":14,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_metadata.html","linkFileType":{"id":5,"text":"html"}},{"id":311815,"rank":13,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/ds/781/OffshoreFortRoss/data_catalog_OffshoreFortRoss.html","text":"Data Catalog","linkFileType":{"id":5,"text":"html"},"linkHelpText":"The GIS data layers for this map are accessible from “Data Catalog—Offshore Fort Ross, 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":311812,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet10.pdf","text":"Sheet 10","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 10 PDF","linkHelpText":"Offshore and Onshore Geology and Geomorphology, Offshore of Fort Ross Map Area, California By Samuel Y. Johnson, Stephen R. Hartwell, and Michael W. Manson"},{"id":311808,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 6 PDF","linkHelpText":"Ground-Truth Studies, Offshore of Fort Ross Map Area, California By Nadine E. Golden, Guy R. Cochrane, and Lisa M. Krigsman"},{"id":311807,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 5 PDF","linkHelpText":"Seafloor Character, Offshore of Fort Ross Map Area, California By Mercedes D. Erdey and Guy R. Cochrane"},{"id":311803,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 1 PDF","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Fort Ross Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":311801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1211/coverthb.jpg"},{"id":311802,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Pamphlet PDF"},{"id":311806,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 4 PDF","linkHelpText":"Data Integration and Visualization, Offshore of Fort Ross Map Area, California By Peter Dartnell"},{"id":311805,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 3 PDF","linkHelpText":"Acoustic Backscatter, Offshore of Fort Ross Map Area, California By Peter Dartnell, Mercedes D. Erdey, and Rikk G. Kvitek"},{"id":311804,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1211/ofr20151211_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1211 Sheet 2 PDF","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Fort Ross Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":311820,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151140","text":"Open-File Report 2015–1140","linkHelpText":"California State Waters Map Series—Offshore of Bodega Head, California, by Samuel Y. Johnson and others."},{"id":311821,"rank":19,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1098/","text":"Open-File Report 2015–1098","linkHelpText":"California State Waters Map Series—Offshore of Salt Point, California, by Samuel Y. Johnson and others."},{"id":311822,"rank":20,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1114/","text":"Open-File Report 2015–1114","linkHelpText":"California State Waters Map Series—Offshore of Point Reyes and Vicinity, California, by Janet T. Watt and others."}],"scale":"24000","country":"United States","state":"California","otherGeospatial":"Fort Ross","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3056,\n 38.3967\n ],\n [\n -123.3056,\n 38.5558\n ],\n [\n -123.1028,\n 38.5558\n ],\n [\n -123.1028,\n 38.3967\n ],\n [\n -123.3056,\n 38.3967\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
http://walrus.wr.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-12-03","noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"566167b4e4b06a3ea36c5651","contributors":{"editors":[{"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":580877,"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":580878,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"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":579459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":579460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Nadine E. ngolden@usgs.gov","contributorId":1980,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","email":"ngolden@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartwell, Stephen R. 0000-0002-3522-7526 shartwell@usgs.gov","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":4995,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen","email":"shartwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, H. Gary","contributorId":78669,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":579464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":579465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579466,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Manson, Michael W.","contributorId":50447,"corporation":false,"usgs":true,"family":"Manson","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":579467,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Endris, Charles A.","contributorId":87875,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":579468,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dieter, Bryan E.","contributorId":21859,"corporation":false,"usgs":true,"family":"Dieter","given":"Bryan E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579469,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579470,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Krigsman, Lisa M.","contributorId":43642,"corporation":false,"usgs":true,"family":"Krigsman","given":"Lisa M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579471,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579472,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lowe, Erik N. eriklowe@usgs.gov","contributorId":5288,"corporation":false,"usgs":true,"family":"Lowe","given":"Erik","email":"eriklowe@usgs.gov","middleInitial":"N.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579473,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Chin, John L.","contributorId":98291,"corporation":false,"usgs":true,"family":"Chin","given":"John L.","affiliations":[],"preferred":false,"id":579474,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70160532,"text":"70160532 - 2015 - Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis","interactions":[],"lastModifiedDate":"2015-12-22T13:11:17","indexId":"70160532","displayToPublicDate":"2015-12-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis","docAbstract":"

As Arctic regions warm and frozen soils thaw, the large organic carbon pool stored in permafrost becomes increasingly vulnerable to decomposition or transport. The transfer of newly mobilized carbon to the atmosphere and its potential influence upon climate change will largely depend on the degradability of carbon delivered to aquatic ecosystems. Dissolved organic carbon (DOC) is a key regulator of aquatic metabolism, yet knowledge of the mechanistic controls on DOC biodegradability is currently poor due to a scarcity of long-term data sets, limited spatial coverage of available data, and methodological diversity. Here, we performed parallel biodegradable DOC (BDOC) experiments at six Arctic sites (16 experiments) using a standardized incubation protocol to examine the effect of methodological differences commonly used in the literature. We also synthesized results from 14 aquatic and soil leachate BDOC studies from across the circum-arctic permafrost region to examine pan-arctic trends in BDOC.

An increasing extent of permafrost across the landscape resulted in higher DOC losses in both soil and aquatic systems. We hypothesize that the unique composition of (yedoma) permafrost-derived DOC combined with limited prior microbial processing due to low soil temperature and relatively short flow path lengths and transport times, contributed to a higher overall terrestrial and freshwater DOC loss. Additionally, we found that the fraction of BDOC decreased moving down the fluvial network in continuous permafrost regions, i.e. from streams to large rivers, suggesting that highly biodegradable DOC is lost in headwater streams. We also observed a seasonal (January–December) decrease in BDOC in large streams and rivers, but saw no apparent change in smaller streams or soil leachates. We attribute this seasonal change to a combination of factors including shifts in carbon source, changing DOC residence time related to increasing thaw-depth, increasing water temperatures later in the summer, as well as decreasing hydrologic connectivity between soils and surface water as the thaw season progresses. Our results suggest that future climate warming-induced shifts of continuous permafrost into discontinuous permafrost regions could affect the degradation potential of thaw-released DOC, the amount of BDOC, as well as its variability throughout the Arctic summer. We lastly recommend a standardized BDOC protocol to facilitate the comparison of future work and improve our knowledge of processing and transport of DOC in a changing Arctic.

","language":"English","publisher":"Copernicus on behalf of the European Geosciences Union","doi":"10.5194/bg-12-6915-2015","usgsCitation":"Vonk, J.E., Tank, S.E., Paul J. Mann, Spencer, R.G., Treat, C.C., Striegl, R.G., Abbott, B.W., and Wickland, K.P., 2015, Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis: Biogeosciences, v. 12, p. 6915-6930, https://doi.org/10.5194/bg-12-6915-2015.","productDescription":"16 p.","startPage":"6915","endPage":"6930","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066103","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471584,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-6915-2015","text":"Publisher Index Page"},{"id":312733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"567a8239e4b0a04ef490fcda","contributors":{"authors":[{"text":"Vonk, Jorien E.","contributorId":150794,"corporation":false,"usgs":false,"family":"Vonk","given":"Jorien","email":"","middleInitial":"E.","affiliations":[{"id":18101,"text":"Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":583064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tank, Suzanne E.","contributorId":150795,"corporation":false,"usgs":false,"family":"Tank","given":"Suzanne","email":"","middleInitial":"E.","affiliations":[{"id":18102,"text":"University of Alberta, Edmonton, Canada","active":true,"usgs":false}],"preferred":false,"id":583065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paul J. Mann","contributorId":150796,"corporation":false,"usgs":false,"family":"Paul J. Mann","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":583066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Robert G.M.","contributorId":150797,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","email":"","middleInitial":"G.M.","affiliations":[{"id":18104,"text":"Florida State University, Tallahassee","active":true,"usgs":false}],"preferred":false,"id":583067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":583068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":583063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abbott, Benjamin W.","contributorId":150799,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin","email":"","middleInitial":"W.","affiliations":[{"id":18106,"text":"Universite de Rennes, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":583069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":583070,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70160391,"text":"70160391 - 2015 - Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada","interactions":[],"lastModifiedDate":"2015-12-21T11:03:54","indexId":"70160391","displayToPublicDate":"2015-12-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada","docAbstract":"

The lower Part of the Garden Valley Formation yields two distinct conodont faunas. One of late Asselian age dominated by Mesogondolella and Streptognathodus and one of Artinskian age dominated by Sweetognathus with Mesogondolella. The Asselian fauna contains the same species as those found in the type area of the Asselian in the southern Urals including Mesogondolella dentiseparata, described for the first time outside of the Urals. Apparatuses for Sweetognathus whitei, Diplognathodus stevensi, and Idioprioniodus sp. are described. The Garden Valley Formation represents a marine pro-delta basin and platform, and marine and shore fan delta complex deposition. The fan-delta complex was most likely deposited from late Artinskian to lateWordian. The Garden Valley Formation records tremendous swings in depositional setting from shallow-water to basin to shore.

","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Wardlaw, B.R., Gallegos, D.M., Chernykh, V.V., and Snyder, W.S., 2015, Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada: Stratigraphy, v. 12, no. 2, p. 197-215.","productDescription":"19 p.","startPage":"197","endPage":"215","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039095","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":312593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312591,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1948","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Eureka County","otherGeospatial":"Sulphur Springs Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3,\n 39.3\n ],\n [\n -116.3,\n 41\n ],\n [\n -115.9,\n 41\n ],\n [\n -115.9,\n 39.3\n ],\n [\n -116.3,\n 39.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930c5e4b0da412f4fb550","contributors":{"authors":[{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":582814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Dora M.","contributorId":150734,"corporation":false,"usgs":false,"family":"Gallegos","given":"Dora","email":"","middleInitial":"M.","affiliations":[{"id":18082,"text":"Albertson College of Idaho","active":true,"usgs":false}],"preferred":false,"id":582816,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chernykh, Valery V.","contributorId":150733,"corporation":false,"usgs":false,"family":"Chernykh","given":"Valery","email":"","middleInitial":"V.","affiliations":[{"id":18081,"text":"Rusian Academy of Science","active":true,"usgs":false}],"preferred":false,"id":582815,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snyder, Walter S.","contributorId":150735,"corporation":false,"usgs":false,"family":"Snyder","given":"Walter","email":"","middleInitial":"S.","affiliations":[{"id":18083,"text":"Boise State Univ.","active":true,"usgs":false}],"preferred":false,"id":582817,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193079,"text":"70193079 - 2015 - Variability within nearshore ecosystems of the Gulf of Alaska","interactions":[],"lastModifiedDate":"2017-12-21T10:21:20","indexId":"70193079","displayToPublicDate":"2015-12-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Variability within nearshore ecosystems of the Gulf of Alaska","docAbstract":"

Nearshore marine habitats, which represent the interface among air, land and sea, form a critical component of the Gulf of Alaska (GOA) ecosystem. As an interface, the nearshore facilitates transfer of water, nutrients and biota between terrestrial and oceanic systems, creating zones of high productivity. The nearshore provides a variety of ecosystem services, including (1) nursery grounds for a wide variety of marine invertebrates and fishes (e.g., crabs, salmon, and herring), (2) nesting and pupping habitats for many pelagic marine predators (e.g., sea bird nesting colonies and pinniped rookeries), (3) important feeding habitats for high trophic level pelagic predators (e.g., killer whales), (4) habitat for resident nearshore species (including sea otters, harbor seals, shorebirds, sea ducks, nearshore fishes, and marine invertebrates), many of which are important sources of commercial and subsistence harvests, and (5) recreational, commercial and subsistence opportunities for human populations (Figure 1-1). The canopy forming kelps and eel grass beds found in the nearshore provide primary production and structure to nursery habitats, and also can dissipate wave energy thus reducing coastal erosion, and serve as a carbon “sink” capable of storing substantial amounts of atmospheric CO2 (Wilmers et al. 2012).

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Introduction

\n

The U.S. Fish and Wildlife Service (USFWS) has begun to issue incidental take permits (ITPs) to wind power companies to allow limited take of bird and bat species that are protected under the Endangered Species Act, the Bald and Golden Eagle Protection Act, or the Migratory Bird Treaty Act (Huso and others, 2015). Expected take rates are determined using scientifically based collision-risk models and knowledge about the ecology of the population of interest. ITPs often include mitigation requirements to compensate for estimated take and further describe (1) adaptive management actions (AMAs) that may be required to reduce take rates if permitted rate is exceeded, or (2) additional compensatory mitigation to offset take that exceeds permitted levels.

\n

Confirming the accuracy of predicted take and providing evidence that permitted take levels have not been exceeded can be challenging because carcasses may be detected with probability much less than 1, and often no carcasses are observed. When detection probability is high, finding 0 carcasses can be interpreted as evidence that none (or few) were actually killed. As the probability of observing an individual decreases, the likelihood of missing carcasses increases, making it unclear how to interpret having observed 0 (or few) carcasses. In a practical sense, the consequences of incorrect inference can be significant: overestimating take could result in costly and unjustified mitigation, whereas underestimating could result in unanticipated declines in species populations already at risk.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151227","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Dalthorp, Daniel, and Huso, Manuela, 2015, A framework for decision points to trigger adaptive management actions in long-term incidental take permits: U.S. Geological Survey Open-File Report 2015-1227, 88 p., https://dx.doi.org/10.3133/ofr20151227.","productDescription":"vi, 88 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068559","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":311799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1227/coverthb.jpg"},{"id":311800,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1227/ofr20151227.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1227"}],"contact":"

Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/

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