Glen Canyon Dam (GCD) on the Colorado River in northern Arizona provides water storage, flood control, and power system benefits to approximately 40 million people who rely on water and energy resources in the Colorado River basin. Downstream resources (e.g., angling, whitewater floating) in Glen Canyon National Recreation Area (GCNRA) and Grand Canyon National Park are impacted by the operation of GCD. The GCD Adaptive Management Program was established in 1997 to monitor and research the effects of dam operations on the downstream environment. We utilized secondary survey data and an individual observation travel cost model to estimate the net economic benefit of angling in GCNRA for each season and each type of angler. As expected, the demand for angling decreased with increasing travel cost; the annual value of angling at Lees Ferry totaled US$2.7 million at 2014 visitation levels. Demand for angling was also affected by season, with per-trip values of $210 in the summer, $237 in the spring, $261 in the fall, and $399 in the winter. This information provides insight into the ways in which anglers are potentially impacted by seasonal GCD operations and adaptive management experiments aimed at improving downstream resource conditions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1204388","usgsCitation":"Bair, L.S., Rogowski, D.L., and Neher, C., 2016, Economic value of angling on the Colorado River at Lees Ferry: Using secondary data to estimate the influence of seasonality: North American Journal of Fisheries Management, v. 36, no. 6, p. 1229-1239, https://doi.org/10.1080/02755947.2016.1204388.","productDescription":"11 p.","startPage":"1229","endPage":"1239","ipdsId":"IP-066706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":329258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63894653320311,\n 36.824676208856175\n ],\n [\n -111.63894653320311,\n 36.943855400282494\n ],\n [\n -111.47758483886719,\n 36.943855400282494\n ],\n [\n -111.47758483886719,\n 36.824676208856175\n ],\n [\n -111.63894653320311,\n 36.824676208856175\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c81c","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogowski, David L.","contributorId":175084,"corporation":false,"usgs":false,"family":"Rogowski","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":27527,"text":"AZ Game and FIsh Department","active":true,"usgs":false}],"preferred":false,"id":649935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neher, Christopher","contributorId":175085,"corporation":false,"usgs":false,"family":"Neher","given":"Christopher","email":"","affiliations":[{"id":27528,"text":"Uni. of Montana, Dept. of Mathematical Sciences","active":true,"usgs":false}],"preferred":false,"id":649936,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176705,"text":"70176705 - 2016 - Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters","interactions":[],"lastModifiedDate":"2018-08-07T11:54:52","indexId":"70176705","displayToPublicDate":"2016-10-03T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters","docAbstract":"Poor performance of the amphipod Hyalella azteca has been observed in exposures using reconstituted waters. Previous studies have reported success in H. azteca water-only exposures with the addition of relatively high concentrations of bromide. The present study evaluated the influence of lower environmentally representative concentrations of bromide on the response ofH. azteca in 42-d water-only exposures. Improved performance of H. azteca was observed in reconstituted waters with >0.02 mg Br/L.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3421","usgsCitation":"Ivey, C.D., and Ingersoll, C.G., 2016, Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2425-2429, https://doi.org/10.1002/etc.3421.","productDescription":"5 p.","startPage":"2425","endPage":"2429","ipdsId":"IP-071175","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":329244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-07","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c822","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176690,"text":"fs20163070 - 2016 - The Land Processes Distributed Active Archive Center (LP DAAC)","interactions":[],"lastModifiedDate":"2017-01-17T19:06:46","indexId":"fs20163070","displayToPublicDate":"2016-10-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3070","title":"The Land Processes Distributed Active Archive Center (LP DAAC)","docAbstract":"The Land Processes Distributed Active Archive Center (LP DAAC) operates as a partnership with the U.S. Geological Survey and is 1 of 12 DAACs within the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS). The LP DAAC ingests, archives, processes, and distributes NASA Earth science remote sensing data. These data are provided to the public at no charge. Data distributed by the LP DAAC provide information about Earth’s surface from daily to yearly intervals and at 15 to 5,600 meter spatial resolution. Data provided by the LP DAAC can be used to study changes in agriculture, vegetation, ecosystems, elevation, and much more. The LP DAAC provides several ways to access, process, and interact with these data. In addition, the LP DAAC is actively archiving new datasets to provide users with a variety of data to study the Earth.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163070","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"Golon, D.K., 2016, The Land Processes Distributed Active Archive Center (LP DAAC): U.S. Geological Survey Fact Sheet 2016–3070, 2 p., https://dx.doi.org/10.3133/fs20163070.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":329073,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3070/fs20163070.pdf","text":"Fact Sheet","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3070"},{"id":329072,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3070/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California established the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The Santa Barbara Coastal Plain is one of the study units.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163058","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Belitz, Kenneth, 2016, Groundwater Quality in the Santa Barbara Coastal Plain, California: U.S. Geological Survey Fact Sheet 2016-3058, 4 p., https://dx.doi.org/10.3133/fs20163058.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-057260","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3058/coverthb.jpg"},{"id":329226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3058/fs20163058.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3058"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.91645812988283,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.35137289731883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Technical reports and hydrologic data collected for the GAMA Program may be obtained from
GAMA Project Chief
U.S. Geological Survey
California Water Science Center
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3100
WEB: http://ca.water.usgs.gov/gama
GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5779
WEB:http://www.waterboards.ca.gov/gama
Restoration of tidal flows to formerly diked marshland can alter land-to-sea fluxes and patterns of accumulation of terrestrial sediment and organic matter, and these tidal flows can also affect existing nearshore habitats. Dikes were removed from 308 hectares (ha) of the Nisqually National Wildlife Refuge on the Nisqually River Delta in south Puget Sound, Washington, in fall 2009 to improve habitat for wildlife, such as juvenile salmon. Ecologically important intertidal and subtidal eelgrass (Zostera marina) beds grow on the north and west margins of the delta. The goal of this study was to understand long-term changes in eelgrass habitat and their relation to dike removal. Sediment and eelgrass properties were monitored annually in May from 2010 to 2014 at two sites on the west side of the Nisqually River Delta along McAllister Creek, a spring-fed creek near two restored tidal channels. In May 2014, the mean canopy height of eelgrass was the same as in previous years in an 8-ha bed extending to the Nisqually River Delta front, but mean canopy height was 20 percent lower in a 0.3-ha eelgrass bed closer to the restored marsh when compared to mean canopy height of eelgrass in May 2010, 6 months after dike removal was completed. Over 5 years, the amount of eelgrass leaf area per square meter (m2) in the 8-ha bed increased slightly, and surface-sediment grain size became finer. In contrast, in the 0.3-ha bed, eelgrass leaf area per m2 decreased by 45 percent, and surface sediment coarsened. Other potential stressors, including sediment pore water reduction-oxidation potential (redox) and hydrogen sulfide (H2S) concentration in the eelgrass rhizosphere, or root zone, were below levels that negatively affect eelgrass growth and therefore did not appear to be environmental stressors on plants. Eelgrass biomass partitioning, though less favorable in the 8-ha eelgrass bed compared to the 0.3-ha one, was well above the critical above-ground to below-ground biomass ratio of 2:1 for Z. marina, an indication that these plants were not at risk of a carbon deficit during low-light conditions. After 5 years, nearshore changes associated with the restoration of tidal flows to formerly diked marshes of the Nisqually River Delta appeared to have little impact on the large eelgrass bed extending from Luhr Beach to the Nisqually River Delta front; however, restoration appears to be contributing to the decline of a small eelgrass bed closer to the restoration area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161169","usgsCitation":"Takesue, R.K., 2016, Environmental and eelgrass response to dike removal: Nisqually River Delta (2010–14): U.S. Geological Survey Open-File Report 2016–1169, 17 p., https://dx.doi.org/10.3133/ofr20161169.","productDescription":"vi, 17 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-064121","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1169/ofr20161169.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1169"},{"id":329007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1169/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":" Nisqually River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.73556709289551,\n 47.06760800518024\n ],\n [\n -122.73556709289551,\n 47.10997630516621\n ],\n [\n -122.68183708190917,\n 47.10997630516621\n ],\n [\n -122.68183708190917,\n 47.06760800518024\n ],\n [\n -122.73556709289551,\n 47.06760800518024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 18 coreholes to construct three cross sections of subsurface basalt flows in the southern part of the Idaho National Laboratory (INL). These cross sections, containing descriptions of the subsurface horizontal and vertical distribution of basalt flows and sediment layers, will be used in geological studies, and to construct numerical models of groundwater flow and contaminant transport.
Subsurface cross sections were used to correlate surface vents to their subsurface flows intersected by coreholes, to correlate subsurface flows between coreholes, and to identify possible subsurface vent locations of subsurface flows. Correlations were identified by average paleomagnetic inclinations of flows, and depth from land surface in coreholes, normalized to the North American Datum of 1927. Paleomagnetic data were combined, in some cases, with other data, such as radiometric ages of flows. Possible vent locations of buried basalt flows were identified by determining the location of the maximum thickness of flows penetrated by more than one corehole.
Flows from the surface volcanic vents Quaking Aspen Butte, Vent 5206, Mid Butte, Lavatoo Butte, Crater Butte, Pond Butte, Vent 5350, Vent 5252, Tin Cup Butte, Vent 4959, Vent 5119, and AEC Butte are found in coreholes, and were correlated to the surface vents by matching their paleomagnetic inclinations, and in some cases, their stratigraphic positions.
Some subsurface basalt flows that do not correlate to surface vents, do correlate over several coreholes, and may correlate to buried vents. Subsurface flows which correlate across several coreholes, but not to a surface vent include the D3 flow, the Big Lost flow, the CFA buried vent flow, the Early, Middle, and Late Basal Brunhes flows, the South Late Matuyama flow, the Matuyama flow, and the Jaramillo flow. The location of vents buried in the subsurface by younger basalt flows can be inferred if their flows are penetrated by several coreholes, by tracing the flows in the subsurface, and determining where the greatest thickness occurs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165131","collaboration":"DOE/ID-22240Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
We evaluated long-term trends and predictors of groundwater levels by month from two well-studied northern New England forested headwater glacial aquifers: Sleepers River, Vermont, 44 wells, 1992-2013; and Hubbard Brook, New Hampshire, 15 wells, 1979-2004. Based on Kendall Tau tests with Sen slope determination, a surprising number of well-month combinations had negative trends (decreasing water levels) over the respective periods. Sleepers River had slightly more positive than negative trends overall, but among the significant trends (p < 0.1), negative trends dominated 67 to 40. At Hubbard Brook, negative trends outnumbered positive trends by a nearly 2:1 margin and all seven of the significant trends were negative. The negative trends occurred despite generally increasing trends in monthly and annual precipitation. This counterintuitive pattern may be a result of increased precipitation intensity causing higher runoff at the expense of recharge, such that evapotranspiration demand draws down groundwater storage. We evaluated predictors of month-end water levels by multiple regression of 18 variables related to climate, streamflow, snowpack, and prior month water level. Monthly flow and prior month water level were the two strongest predictors for most months at both sites. The predictive power and ready availability of streamflow data can be exploited as a proxy to extend limited groundwater level records over longer time periods.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12432","usgsCitation":"Shanley, J.B., Chalmers, A.T., Mack, T.J., Smith, T.E., and Harte, P.T., 2016, Groundwater level trends and drivers in two northern New England glacial aquifers: Journal of the American Water Resources Association, v. 52, no. 5, p. 1012-1030, https://doi.org/10.1111/1752-1688.12432.","productDescription":"19 p.","startPage":"1012","endPage":"1030","ipdsId":"IP-073002","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire, Vermont","otherGeospatial":"Mirror Lake basin, Sleepers River Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.26060821324687,\n 44.57330638859074\n ],\n [\n -72.26060821324687,\n 44.43408825538009\n ],\n [\n -72.06845741944598,\n 44.43408825538009\n ],\n [\n -72.06845741944598,\n 44.57330638859074\n ],\n [\n -72.26060821324687,\n 44.57330638859074\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.76650617204419,\n 44.1\n ],\n [\n -71.76650617204419,\n 43.9\n ],\n [\n -71.5316552018435,\n 43.9\n ],\n [\n -71.5316552018435,\n 44.1\n ],\n [\n -71.76650617204419,\n 44.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-19","publicationStatus":"PW","scienceBaseUri":"59f83a3be4b063d5d3098106","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalmers, Ann T. 0000-0002-5199-8080 chalmers@usgs.gov","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":1443,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"chalmers@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Thomas J. 0000-0002-0496-3918 tjmack@usgs.gov","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":1677,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas","email":"tjmack@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160116,"text":"fs20153086 - 2016 - Enhanced canopy fuel mapping by integrating lidar data","interactions":[],"lastModifiedDate":"2017-01-17T19:08:52","indexId":"fs20153086","displayToPublicDate":"2016-10-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3086","title":"Enhanced canopy fuel mapping by integrating lidar data","docAbstract":"The Wildfire Sciences Team at the U.S. Geological Survey’s Earth Resources Observation and Science Center produces vegetation type, vegetation structure, and fuel products for the United States, primarily through the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program. LANDFIRE products are used across disciplines for a variety of applications. The LANDFIRE data retain their currency and relevancy through periodic updating or remapping. These updating and remapping efforts provide opportunities to improve the LANDFIRE product suite by incorporating data from other sources. Light detection and ranging (lidar) is uniquely suitable for gathering information on vegetation structure and spatial arrangement because it can collect data in three dimensions. The Wildfire Sciences Team has several completed and ongoing studies focused on integrating lidar into vegetation and fuels mapping.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153086","usgsCitation":"Peterson, B.E., and Nelson, K.J., 2016, Enhanced canopy fuel mapping by integrating lidar data: U.S. Geological Survey Fact Sheet 2015–3086, 2 p., https://dx.doi.org/10.3133/fs20153086.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-057944","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":328868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3086/coverthb.jpg"},{"id":328869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3086/fs20153086.pdf","text":"Fact Sheet","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2015–3086"}],"contact":"Fire Science Team Lead
Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47194 252nd Street
Sioux Falls, SD 57198
Groundwater quality in the 48-square-mile Santa Barbara study unit was investigated in 2011 as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project. The study unit is mostly in Santa Barbara County and is in the Transverse and Selected Peninsular Ranges hydrogeologic province. The GAMA Priority Basin Project is carried out by the U.S. Geological Survey in collaboration with the California State Water Resources Control Board and Lawrence Livermore National Laboratory.
The GAMA Priority Basin Project was designed to provide a statistically unbiased, spatially distributed assessment of the quality of untreated groundwater in the primary aquifer system of California. The primary aquifer system is defined as that part of the aquifer corresponding to the perforation interval of wells listed in the California Department of Public Health database for the Santa Barbara study unit. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the Santa Barbara study unit, not the treated drinking water delivered to consumers by water purveyors.
The status assessment for the Santa Barbara study unit was based on water-quality and ancillary data collected in 2011 by the U.S. Geological Survey from 23 sites and on water-quality data from the California Department of Public Health database for January 24, 2008–January 23, 2011. The data used for the assessment included volatile organic compounds; pesticides; pharmaceutical compounds; two constituents of special interest, perchlorate and N-nitrosodimethylamine (NDMA); and naturally present inorganic constituents, such as major ions and trace elements. Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used to evaluate groundwater quality for those constituents that have federal or California regulatory and non-regulatory benchmarks for drinking-water quality. For inorganic, organic, and special-interest constituents, a relative-concentration greater than 1.0 indicates a concentration greater than the benchmark and is classified as high. Inorganic constituents are classified as moderate if relative-concentrations are greater than 0.5 and less than or equal to 1.0 and are classified as low if relative-concentrations are less than or equal to 0.5. For organic and special-interest constituents, the boundary between moderate and low relative-concentrations was set at 0.1.
Aquifer-scale proportion was used as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the areal percentage of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents. Moderate and low aquifer-scale proportions were defined as the areal percentage of the primary aquifer system that had moderate and low relative-concentrations, respectively. Two statistical approaches—grid based and spatially weighted—were used to calculate aquifer-scale proportions for individual constituents and constituent classes. Grid-based and spatially weighted estimates were comparable in this the study (within 90-percent confidence intervals). Grid-based results were selected for use in the status assessment unless, as was observed in a few cases, a grid-based result was zero and the spatially weighted result was not zero, in which case, the spatially weighted result was used.
Inorganic constituents that have human-health benchmarks were present at high relative-concentrations in 5.3 percent of the primary aquifer system and at moderate concentrations in 32 percent. High aquifer-scale proportions of inorganic constituents primarily were a result of high aquifer-scale proportions of boron (5.3 percent) and fluoride (5.3 percent). Inorganic constituents that have aesthetic-based benchmarks, referred to as secondary maximum contaminant levels, were present at high relative-concentrations in 58 percent of the primary aquifer system and at moderate concentrations in 37 percent. Iron, manganese, sulfate, and total dissolved solids were the inorganic constituents with secondary maximum contaminant levels present at high relative-concentrations.
In contrast, organic and special-interest constituents that have health-based benchmarks were not detected at high relative-concentrations in the primary aquifer system. Of the 218 organic constituents analyzed, 10 were detected—9 that had human-health benchmarks. Organic constituents were present at moderate relative-concentrations in 11 percent of the primary aquifer system. The moderate aquifer-scale proportions were a result of moderate relative-concentrations of the volatile organic compounds methyl tert-butyl ether (MTBE, 11 percent) and 1,2-dichloroethane (5.6 percent). The volatile organic compounds 1,1,1-trichloroethane, 1,1-dichloroethane, bromodichloromethane, chloroform, MTBE, and perchloroethene (PCE); the pesticide simazine; and the special-interest constituent perchlorate were detected at more than 10 percent of the sites in the Santa Barbara study unit. Perchlorate was present at moderate relative-concentrations in 50 percent of the primary aquifer system. Pharmaceutical compounds and NDMA were not detected in the Santa Barbara study unit.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165112","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Kulongoski, J.T., 2016, Status of groundwater quality in the Santa Barbara Study Unit, 2011: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2016–5112, 70 p., https://dx.doi.org/10.3133/sir20165112.","productDescription":"viii, 70 p.","numberOfPages":"82","ipdsId":"IP-077335","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329221,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5112/sir20165112.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5112"},{"id":329220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5112/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.92813110351561,\n 34.37461214493789\n ],\n [\n -119.92813110351561,\n 34.47203335543746\n ],\n [\n -119.43237304687499,\n 34.47203335543746\n ],\n [\n -119.43237304687499,\n 34.37461214493789\n ],\n [\n -119.92813110351561,\n 34.37461214493789\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
Surface pCO2 data from the West Florida Shelf (WFS) have been collected during 25 cruise surveys between 2003 and 2012. The data were scaled up using remote sensing measurements of surface water properties in order to provide a more nearly synoptic map of pCO2 spatial distributions and describe their temporal variations. This investigation involved extensive tests of various model forms through parsimony and Principal Component Analysis, which led to the development of a multi-variable empirical surface pCO2 model based on concurrent MODIS (Moderate Resolution Imaging Spectroradiometer) estimates of surface chlorophyll a concentrations (CHL, mg m−3), diffuse light attenuation at 490 nm (Kd_Lee, m−1), and sea surface temperature (SST, °C). Validation using an independent dataset showed a pCO2 Root Mean Square Error (RMSE) of <12 µatm and a 0.88 coefficient of determination (R2) for measured and model-predicted pCO2 ranging from 300 to 550 µatm. The model was more sensitive to SST than to CHL and Kd_Lee, with a 1 °C change in SST leading to a ~16 µatm change in the predicted pCO2. Application of the model to the entire WFS MODIS time series between 2002 and 2014 showed clear seasonality, with maxima (~450 µatm) in summer and minima (~350 µatm) in winter. The seasonality was positively correlated to SST (high in summer and low in winter) and negatively correlated to CHL and Kd_Lee (high in winter and low in summer). Inter-annual variations of pCO2 were consistent with inter-annual variations of SST, CHL, and Kd_Lee. These results suggest that surface water pCO2 of the WFS can be estimated, with known uncertainties, from remote sensing. However, while the general approach of empirical regression may work for waters from other areas of the Gulf of Mexico, model coefficients need to be empirically determined in a similar fashion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2016.09.004","usgsCitation":"Chen, S., Hu, C., Byrne, R., Robbins, L.L., and Yang, B., 2016, Remote estimation of surface pCO2 on the West Florida Shelf: Continental Shelf Research, v. 128, p. 10-25, https://doi.org/10.1016/j.csr.2016.09.004.","productDescription":"16 p.","startPage":"10","endPage":"25","ipdsId":"IP-071209","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":462067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2016.09.004","text":"Publisher Index Page"},{"id":356293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"West Florida Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85,\n 24\n ],\n [\n -80,\n 24\n ],\n [\n -80,\n 30\n ],\n [\n -85,\n 30\n ],\n [\n -85,\n 24\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"128","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc864e4b0f5d57878ec28","contributors":{"authors":[{"text":"Chen, Shuangling","contributorId":177054,"corporation":false,"usgs":false,"family":"Chen","given":"Shuangling","email":"","affiliations":[],"preferred":false,"id":654429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Chuanmin","contributorId":177055,"corporation":false,"usgs":false,"family":"Hu","given":"Chuanmin","email":"","affiliations":[],"preferred":false,"id":654430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":654431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Bo","contributorId":149369,"corporation":false,"usgs":false,"family":"Yang","given":"Bo","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":741896,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220455,"text":"70220455 - 2016 - Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","interactions":[],"lastModifiedDate":"2021-05-14T12:55:07.550461","indexId":"70220455","displayToPublicDate":"2016-10-01T07:52:59","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","docAbstract":"Microfaunal and geochemical proxies from marine sediment records from central Arctic Ocean (CAO) submarine ridges suggest a close relationship over the last 550 thousand years (kyr) between orbital-scale climatic oscillations, sea-ice cover, marine biological productivity and other parameters. Multiple paleoclimate proxies record glacial to interglacial cycles. To understand the climate-cryosphere-productivity relationship, we examined the cyclostratigraphy of calcareous microfossils and constructed a composite Arctic Paleoclimate Index (API) “stack” from benthic foraminiferal and ostracode density from 14 sediment cores. Following the hypothesis that API is driven mainly by changes in sea-ice related productivity, the API stack shows the Arctic experienced a series of highly productive interglacials and interstadials every ∼20 kyr. These periods signify minimal ice shelf and sea-ice cover and maximum marine productivity. Rapid transitions in productivity are seen during shifts from interglacial to glacial climate states. Discrepancies between the Arctic API curves and various global climatic, sea-level and ice-volume curves suggest abrupt growth and decay of Arctic ice shelves related to climatic and sea level oscillations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.07.004","usgsCitation":"Marzen, R.E., DeNinno, L.H., and Cronin, T.M., 2016, Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean: Quaternary Science Reviews, v. 149, p. 109-121, https://doi.org/10.1016/j.quascirev.2016.07.004.","productDescription":"13 p.","startPage":"109","endPage":"121","ipdsId":"IP-063485","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":385639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marzen, R. 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A given species may adjust to new conditions in-place, move to new areas with suitable climates, or go extinct. Scientists and conservation practitioners use mathematical models to predict the effects of future climate change on wildlife and plan for a biodiverse future. This 8-page fact sheet written by David N. Bucklin, Mathieu Basille, Stephanie S. Romañach, Laura A. Brandt, Frank J. Mazzotti, and James I. Watling and published by the Department of Wildlife Ecology and Conservation explains how, with a better understanding of species distribution models, we can predict how species may respond to climate change. The models alone cannot tell us how a certain species will actually respond to changes in climate, but they can inform conservation planning that aims to allow species to both adapt in place and (for those that are able to) move to newly suitable areas. Such planning will likely minimize loss of biodiversity due to climate change.","language":"English","publisher":"University of Florida IFAS Extension","usgsCitation":"Bucklin, D.N., Basille, M., Romanach, S.S., Brandt, L.A., Mazzotti, F., and Watling, J.I., 2016, Considerations for building climate-based species distribution models, 8 p.","productDescription":"8 p","ipdsId":"IP-075201","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329494,"type":{"id":15,"text":"Index Page"},"url":"https://edis.ifas.ufl.edu/UW420"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c3e4b0f497e78fca5d","contributors":{"authors":[{"text":"Bucklin, David N.","contributorId":175273,"corporation":false,"usgs":false,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":650661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Basille, Mathieu","contributorId":175274,"corporation":false,"usgs":false,"family":"Basille","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":650662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":650660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":650663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":650664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watling, James I.","contributorId":175275,"corporation":false,"usgs":false,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":27555,"text":"John Carroll University","active":true,"usgs":false}],"preferred":false,"id":650665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70148486,"text":"70148486 - 2016 - Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","interactions":[],"lastModifiedDate":"2017-04-03T12:33:05","indexId":"70148486","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","docAbstract":"Microfaunal and geochemical proxies from marine sediment records from central Arctic Ocean (CAO) submarine ridges suggest a close relationship over the last 550 thousand years (kyr) between orbital-scale climatic oscillations, sea-ice cover, marine biological productivity and other parameters. 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","language":"English","publisher":"Pergamon","publisherLocation":"Elmsford, NY","doi":"10.1016/j.quascirev.2016.07.004","usgsCitation":"Marzen, R., DeNinno, L.H., and Cronin, T.M., 2016, Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean: Quaternary Science Reviews, v. 149, p. 109-121, https://doi.org/10.1016/j.quascirev.2016.07.004.","productDescription":"13 p.","startPage":"109","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066062","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":339037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -186.15234374999997,\n 71.91088787611527\n ],\n [\n -126.5625,\n 71.91088787611527\n ],\n [\n -126.5625,\n 82.96189798993062\n ],\n [\n -186.15234374999997,\n 82.96189798993062\n ],\n [\n -186.15234374999997,\n 71.91088787611527\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"149","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e35f7fe4b09da67997ecab","contributors":{"authors":[{"text":"Marzen, Rachel rmarzen@usgs.gov","contributorId":141094,"corporation":false,"usgs":true,"family":"Marzen","given":"Rachel","email":"rmarzen@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeNinno, Lauren H. ldeninno@usgs.gov","contributorId":5312,"corporation":false,"usgs":true,"family":"DeNinno","given":"Lauren","email":"ldeninno@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548367,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191951,"text":"70191951 - 2016 - A Lota lota consumption: Trophic dynamics of nonnative Burbot in a valuable sport fishery","interactions":[],"lastModifiedDate":"2017-10-19T11:25:32","indexId":"70191951","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A Lota lota consumption: Trophic dynamics of nonnative Burbot in a valuable sport fishery","docAbstract":"Unintentional and illegal introductions of species disrupt food webs and threaten the success of managed sport fisheries. Although many populations of Burbot Lota lota are declining in the species’ native range, a nonnative population recently expanded into Flaming Gorge Reservoir (FGR), Wyoming–Utah, and threatens to disrupt predator–prey interactions within this popular sport fishery. To determine potential impacts on sport fishes, especially trophy Lake Trout Salvelinus namaycush, we assessed the relative abundance of Burbot and quantified the potential trophic or food web impacts of this population by using diet, stable isotope, and bioenergetic analyses. We did not detect a significant potential for food resource competition between Burbot and Lake Trout (Schoener’s overlap index = 0.13), but overall consumption by Burbot likely affects other sport fishes, as indicated by our analyses of trophic niche space. Diet analyses suggested that crayfish were important diet items across time (89.3% of prey by weight in autumn; 49.4% in winter) and across Burbot size-classes (small: 77.5% of prey by weight; medium: 76.6%; large: 39.7%). However, overall consumption by Burbot increases as water temperatures cool, and fish consumption by Burbot in FGR was observed to increase during winter. Specifically, large Burbot consumed more salmonids, and we estimated (bioenergetically) that up to 70% of growth occurred in late autumn and winter. Further, our population-wide consumption estimates indicated that Burbot could consume up to double the biomass of Rainbow Trout Oncorhynchus mykiss stocked annually (>1.3 × 105 kg; >1 million individuals) into FGR. Overall, we provide some of the first information regarding Burbot trophic interactions outside of the species’ native range; these findings can help to inform the management of sport fisheries if Burbot range expansion occurs elsewhere.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1227372","usgsCitation":"Klobucar, S., Saunders, W.C., and Budy, P., 2016, A Lota lota consumption: Trophic dynamics of nonnative Burbot in a valuable sport fishery: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1386-1398, https://doi.org/10.1080/00028487.2016.1227372.","productDescription":"13 p.","startPage":"1386","endPage":"1398","ipdsId":"IP-074691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Flaming Gorge Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.74517822265624,\n 40.875103022165824\n ],\n [\n -109.35516357421874,\n 40.875103022165824\n ],\n [\n -109.35516357421874,\n 41.52297326747377\n ],\n [\n -109.74517822265624,\n 41.52297326747377\n ],\n [\n -109.74517822265624,\n 40.875103022165824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-14","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65ccf","contributors":{"authors":[{"text":"Klobucar, Stephen L.","contributorId":172291,"corporation":false,"usgs":false,"family":"Klobucar","given":"Stephen L.","affiliations":[],"preferred":false,"id":713937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunders, W. Carl","contributorId":46883,"corporation":false,"usgs":true,"family":"Saunders","given":"W.","email":"","middleInitial":"Carl","affiliations":[],"preferred":false,"id":713938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":713775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189238,"text":"70189238 - 2016 - Inter-comparison of three-dimensional models of volcanic plumes","interactions":[],"lastModifiedDate":"2017-07-06T13:11:53","indexId":"70189238","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Inter-comparison of three-dimensional models of volcanic plumes","docAbstract":"We performed an inter-comparison study of three-dimensional models of volcanic plumes. A set of common volcanological input parameters and meteorological conditions were provided for two kinds of eruptions, representing a weak and a strong eruption column. From the different models, we compared the maximum plume height, neutral buoyancy level (where plume density equals that of the atmosphere), and level of maximum radial spreading of the umbrella cloud. We also compared the vertical profiles of eruption column properties, integrated across cross-sections of the plume (integral variables). Although the models use different numerical procedures and treatments of subgrid turbulence and particle dynamics, the inter-comparison shows qualitatively consistent results. In the weak plume case (mass eruption rate 1.5 × 106 kg s− 1), the vertical profiles of plume properties (e.g., vertical velocity, temperature) are similar among models, especially in the buoyant plume region. Variability among the simulated maximum heights is ~ 20%, whereas neutral buoyancy level and level of maximum radial spreading vary by ~ 10%. Time-averaging of the three-dimensional (3D) flow fields indicates an effective entrainment coefficient around 0.1 in the buoyant plume region, with much lower values in the jet region, which is consistent with findings of small-scale laboratory experiments. On the other hand, the strong plume case (mass eruption rate 1.5 × 109 kg s− 1) shows greater variability in the vertical plume profiles predicted by the different models. Our analysis suggests that the unstable flow dynamics in the strong plume enhances differences in the formulation and numerical solution of the models. This is especially evident in the overshooting top of the plume, which extends a significant portion (~ 1/8) of the maximum plume height. Nonetheless, overall variability in the spreading level and neutral buoyancy level is ~ 20%, whereas that of maximum height is ~ 10%. This inter-comparison study has highlighted the different capabilities of 3D volcanic plume models, and identified key features of weak and strong plumes, including the roles of jet stability, entrainment efficiency, and particle non-equilibrium, which deserve future investigation in field, laboratory, and numerical studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.06.011","usgsCitation":"Suzuki, Y., Costa, A., Cerminara, M., Esposti Ongaro, T., Herzog, M., Van Eaton, A.R., and Denby, L., 2016, Inter-comparison of three-dimensional models of volcanic plumes: Journal of Volcanology and Geothermal Research, v. 326, p. 26-42, https://doi.org/10.1016/j.jvolgeores.2016.06.011.","productDescription":"17 p.","startPage":"26","endPage":"42","ipdsId":"IP-071593","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470540,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.17863/cam.1638","text":"External Repository"},{"id":343414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"326","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c3ee4b0d1f9f057e345","contributors":{"authors":[{"text":"Suzuki, Yujiro","contributorId":194289,"corporation":false,"usgs":false,"family":"Suzuki","given":"Yujiro","email":"","affiliations":[],"preferred":false,"id":703662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costa, Antonio","contributorId":194290,"corporation":false,"usgs":false,"family":"Costa","given":"Antonio","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":703663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cerminara, Matteo","contributorId":194291,"corporation":false,"usgs":false,"family":"Cerminara","given":"Matteo","email":"","affiliations":[],"preferred":false,"id":703664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esposti Ongaro, Tomaso","contributorId":194292,"corporation":false,"usgs":false,"family":"Esposti Ongaro","given":"Tomaso","email":"","affiliations":[],"preferred":false,"id":703665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Michael","contributorId":194293,"corporation":false,"usgs":false,"family":"Herzog","given":"Michael","email":"","affiliations":[],"preferred":false,"id":703666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denby, Leif","contributorId":194294,"corporation":false,"usgs":false,"family":"Denby","given":"Leif","email":"","affiliations":[],"preferred":false,"id":703667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178556,"text":"70178556 - 2016 - Field guide to Laramide basin evolution and drilling activity in North Park and Middle Park, Colorado","interactions":[],"lastModifiedDate":"2016-11-30T15:02:40","indexId":"70178556","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Field guide to Laramide basin evolution and drilling activity in North Park and Middle Park, Colorado","docAbstract":"Overview of the geologic history of the North Park–Middle Park area and its past and recent drilling activity. Field trip stops highlight basin formation and the consequences of geologic configuration on oil and gas plays and development. The starting point is the west flank of the Denver Basin to compare and contrast the latest Cretaceous through Eocene basin fill on both flanks of the Front Range, before exploring sediments of the same age in the North Park – Middle Park intermontane basin.
","language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Dechesne, M., Cole, J.C., and Martin, C.B., 2016, Field guide to Laramide basin evolution and drilling activity in North Park and Middle Park, Colorado: Mountain Geologist, v. 53, no. 4, p. 283-329.","productDescription":"47 p.","startPage":"283","endPage":"329","ipdsId":"IP-076161","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":331335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331334,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/current-mountain-geologist-issues"}],"country":"United States","state":"Colorado","otherGeospatial":"Middle Park, North Park","volume":"53","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583ff34de4b04fc80e437262","contributors":{"authors":[{"text":"Dechesne, Marieke 0000-0002-4468-7495 mdechesne@usgs.gov","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":5036,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","email":"mdechesne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, James C. jimcole@usgs.gov","contributorId":1256,"corporation":false,"usgs":true,"family":"Cole","given":"James","email":"jimcole@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Christopher B.","contributorId":177078,"corporation":false,"usgs":false,"family":"Martin","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":654344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179072,"text":"70179072 - 2016 - A case study on evaluating impacts of potential climate change on groundwater resources: Groundwater recharge in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2016-12-20T11:43:51","indexId":"70179072","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A case study on evaluating impacts of potential climate change on groundwater resources: Groundwater recharge in the Upper Colorado River Basin","docAbstract":"An investigation of the change in groundwater recharge in response to potential climate change\nwas performed for the UCRB using the SWB groundwater recharge model and downscaled\nclimate data from the CMIP5 multi-model dataset. Climate projections from 97 downscaled\nCMIP5 datasets were assumed to be equally likely and recharge simulation results were\ncombined. Results for the UCRB suggest that projected increases in actual ET from higher\ntemperatures may be offset by increases in precipitation, resulting in increased groundwater\nrecharge for many areas in the basin in future time periods.","language":"English","publisher":"Bureau of Reclamation","collaboration":"Bureau of Reclamation","usgsCitation":"Tillman, F.D., Gangopadhyay, S., and Pruitt, T., 2016, A case study on evaluating impacts of potential climate change on groundwater resources: Groundwater recharge in the Upper Colorado River Basin, ii., 20 p.","productDescription":"ii., 20 p.","ipdsId":"IP-066612","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":332339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332146,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/watersmart/wcra/docs/techmemoclimatechangeongroundwaterresources.pdf"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.2802734375,\n 37.142803443716836\n ],\n [\n -110.3466796875,\n 39.50404070558415\n ],\n [\n -107.81982421874999,\n 40.111688665595956\n ],\n [\n -105.556640625,\n 39.8928799002948\n ],\n [\n -106.01806640624999,\n 37.03763967977139\n ],\n [\n -108.25927734375,\n 36.50963615733049\n ],\n [\n -112.30224609374999,\n 36.70365959719456\n ],\n [\n -112.2802734375,\n 37.142803443716836\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5e7","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":655927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":655928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178381,"text":"70178381 - 2016 - Geologic history of Martian regolith breccia Northwest Africa 7034: Evidence for hydrothermal activity and lithologic diversity in the Martian crust","interactions":[],"lastModifiedDate":"2016-11-15T17:02:35","indexId":"70178381","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geologic history of Martian regolith breccia Northwest Africa 7034: Evidence for hydrothermal activity and lithologic diversity in the Martian crust","docAbstract":"The timing and mode of deposition for Martian regolith breccia Northwest Africa (NWA) 7034 were determined by combining petrography, shape analysis, and thermochronology. NWA 7034 is composed of igneous, impact, and brecciated clasts within a thermally annealed submicron matrix of pulverized crustal rocks and devitrified impact/volcanic glass. The brecciated clasts are likely lithified portions of Martian regolith with some evidence of past hydrothermal activity. Represented lithologies are primarily ancient crustal materials with crystallization ages as old as 4.4 Ga. One ancient zircon was hosted by an alkali-rich basalt clast, confirming that alkalic volcanism occurred on Mars very early. NWA 7034 is composed of fragmented particles that do not exhibit evidence of having undergone bed load transport by wind or water. The clast size distribution is similar to terrestrial pyroclastic deposits. We infer that the clasts were deposited by atmospheric rainout subsequent to a pyroclastic eruption(s) and/or impact event(s), although the ancient ages of igneous components favor mobilization by impact(s). Despite ancient components, the breccia has undergone a single pervasive thermal event at 500–800°C, evident by groundmass texture and concordance of ~1.5 Ga dates for bulk rock K-Ar, U-Pb in apatite, and U-Pb in metamict zircons. The 1.5 Ga age is likely a thermal event that coincides with rainout/breccia lithification. We infer that the episodic process of regolith lithification dominated sedimentary processes during the Amazonian Epoch. The absence of pre-Amazonian high-temperature metamorphic events recorded in ancient zircons indicates source domains of static southern highland crust punctuated by episodic impact modification.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005143","usgsCitation":"McCubbin, F.M., Boyce, J.W., Novak-Szabo, T., Santos, A., Tartese, R., Muttik, N., Domokos, G., Vazquez, J.A., Keller, L.P., Moser, D.E., Jerolmack, D.J., Shearer, C.K., Steele, A., Elardo, S.M., Rahman, Z., Anand, M., Delhaye, T., and Agee, C.B., 2016, Geologic history of Martian regolith breccia Northwest Africa 7034: Evidence for hydrothermal activity and lithologic diversity in the Martian crust: Journal of Geophysical Research E: Planets, v. 121, no. 10, p. 2120-2149, https://doi.org/10.1002/2016JE005143.","productDescription":"30 p.","startPage":"2120","endPage":"2149","ipdsId":"IP-072126","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470534,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016je005143","text":"External 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Gabor","contributorId":176885,"corporation":false,"usgs":false,"family":"Domokos","given":"Gabor","email":"","affiliations":[],"preferred":false,"id":653887,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":653888,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keller, Lindsay P.","contributorId":176886,"corporation":false,"usgs":false,"family":"Keller","given":"Lindsay","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653889,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moser, Desmond E.","contributorId":176887,"corporation":false,"usgs":false,"family":"Moser","given":"Desmond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":653890,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jerolmack, Douglas J.","contributorId":78622,"corporation":false,"usgs":true,"family":"Jerolmack","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653891,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shearer, Charles K.","contributorId":111575,"corporation":false,"usgs":true,"family":"Shearer","given":"Charles","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":653892,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Steele, Andrew","contributorId":23830,"corporation":false,"usgs":true,"family":"Steele","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":653893,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Elardo, Stephen M.","contributorId":176891,"corporation":false,"usgs":false,"family":"Elardo","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":653894,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rahman, Zia","contributorId":176892,"corporation":false,"usgs":false,"family":"Rahman","given":"Zia","email":"","affiliations":[],"preferred":false,"id":653895,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Anand, Mahesh","contributorId":176893,"corporation":false,"usgs":false,"family":"Anand","given":"Mahesh","email":"","affiliations":[],"preferred":false,"id":653896,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Delhaye, Thomas","contributorId":176894,"corporation":false,"usgs":false,"family":"Delhaye","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":653897,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Agee, Carl B.","contributorId":176895,"corporation":false,"usgs":false,"family":"Agee","given":"Carl","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":653898,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70177052,"text":"70177052 - 2016 - Cultivation of a native alga for biomass and biofuel accumulation in coal bed methane production water","interactions":[],"lastModifiedDate":"2017-01-23T15:10:15","indexId":"70177052","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5275,"text":"Algal Research","active":true,"publicationSubtype":{"id":10}},"title":"Cultivation of a native alga for biomass and biofuel accumulation in coal bed methane production water","docAbstract":"Coal bed methane (CBM) production has resulted in thousands of ponds in the Powder River Basin of low-quality water in a water-challenged region. A green alga isolate, PW95, was isolated from a CBM production pond, and analysis of a partial ribosomal gene sequence indicated the isolate belongs to the Chlorococcaceae family. Different combinations of macro- and micronutrients were evaluated for PW95 growth in CBM water compared to a defined medium. A small level of growth was observed in unamended CBM water (0.15 g/l), and biomass increased (2-fold) in amended CBM water or defined growth medium. The highest growth rate was observed in CBM water amended with both N and P, and the unamended CBM water displayed the lowest growth rate. The highest lipid content (27%) was observed in CBM water with nitrate, and a significant level of lipid accumulation was not observed in the defined growth medium. Growth analysis indicated that nitrate deprivation coincided with lipid accumulation in CBM production water, and lipid accumulation did not increase with additional phosphorus limitation. The presented results show that CBM production wastewater can be minimally amended and used for the cultivation of a native, lipid-accumulating alga.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.algal.2016.07.014","usgsCitation":"Hodgskiss, L.H., Nagy, J., Barnhart, E.P., Cunningham, A.B., and Fields, M.W., 2016, Cultivation of a native alga for biomass and biofuel accumulation in coal bed methane production water: Algal Research, v. 19, p. 63-68, https://doi.org/10.1016/j.algal.2016.07.014.","productDescription":"6 p.","startPage":"63","endPage":"68","numberOfPages":"6","ipdsId":"IP-071048","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":470546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1402508","text":"Publisher Index Page"},{"id":329643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.703125,\n 35.137879119634185\n ],\n [\n -90.703125,\n 36.99377838872517\n ],\n [\n -88.714599609375,\n 36.99377838872517\n ],\n [\n -88.714599609375,\n 35.137879119634185\n ],\n [\n -90.703125,\n 35.137879119634185\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.06201171875,\n 46.479482189368646\n ],\n [\n -105.1171875,\n 46.4605655457854\n ],\n [\n -105.8587646484375,\n 44.81691551782855\n ],\n [\n -105.7269287109375,\n 44.3670601700202\n ],\n [\n -105.7159423828125,\n 44.071800467511565\n ],\n [\n -106.11145019531249,\n 43.50872101129684\n ],\n [\n -106.40808105468749,\n 43.393073720674415\n ],\n [\n -106.644287109375,\n 43.45291889355465\n ],\n [\n -106.7706298828125,\n 43.600284023536325\n ],\n [\n -107.0343017578125,\n 44.25306865928177\n ],\n [\n -107.1112060546875,\n 45.03859654645257\n ],\n [\n -107.07824707031249,\n 45.463983441272724\n ],\n [\n -106.875,\n 45.80965764997408\n ],\n [\n -106.06201171875,\n 46.479482189368646\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5805e34ee4b0824b2d1c24ba","contributors":{"authors":[{"text":"Hodgskiss, Logan H.","contributorId":175445,"corporation":false,"usgs":false,"family":"Hodgskiss","given":"Logan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":651145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagy, Justin","contributorId":175446,"corporation":false,"usgs":false,"family":"Nagy","given":"Justin","email":"","affiliations":[],"preferred":false,"id":651146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cunningham, Alfred B.","contributorId":172389,"corporation":false,"usgs":false,"family":"Cunningham","given":"Alfred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":651147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":651148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193041,"text":"70193041 - 2016 - Comparative use of side and main channels by small-bodied fish in a large, unimpounded river","interactions":[],"lastModifiedDate":"2017-11-06T16:39:50","indexId":"70193041","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative use of side and main channels by small-bodied fish in a large, unimpounded river","docAbstract":"Understanding of migration in small bats has been constrained by limitations of techniques that were labor-intensive, provided coarse levels of resolution, or were limited to population-level inferences. Knowledge of movements and behaviors of individual bats have been unknowable because of limitations in size of tracking devices and methods to attach them for long periods. We used sutures to attach miniature global positioning system (GPS) tags and data loggers that recorded light levels, activity, and temperature to male hoary bats (Lasiurus cinereus). Results from recovered GPS tags illustrated profound differences among movement patterns by individuals, including one that completed a >1000 km round-trip journey during October 2014. Data loggers allowed us to record sub-hourly patterns of activity and torpor use, in one case over a period of 224 days that spanned an entire winter. In this latter bat, we documented 5 torpor bouts that lasted ≥16 days and a flightless period that lasted 40 nights. These first uses of miniature tags on small bats allowed us to discover that male hoary bats can make multi-directional movements during the migratory season and sometimes hibernate for an entire winter.
","language":"English","publisher":"Nature","doi":"10.1038/srep34585","usgsCitation":"Weller, T.J., Castle, K.T., Liechti, F., Hein, C.D., Schirmacher, M.R., and Cryan, P.M., 2016, First direct evidence of long-distance seasonal movements and hibernation in a migratory bat: Scientific Reports, v. 6, Article number 34585; 7 p., https://doi.org/10.1038/srep34585.","productDescription":"Article number 34585; 7 p.","ipdsId":"IP-077969","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep34585","text":"Publisher Index Page"},{"id":331386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"584144dfe4b04fc80e5073a5","contributors":{"authors":[{"text":"Weller, Theodore J.","contributorId":105961,"corporation":false,"usgs":false,"family":"Weller","given":"Theodore","email":"","middleInitial":"J.","affiliations":[{"id":13261,"text":"USDA Forest Service, Pacific Southwest Research Station, Davis, California","active":true,"usgs":false}],"preferred":false,"id":654600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castle, Kevin T.","contributorId":90616,"corporation":false,"usgs":true,"family":"Castle","given":"Kevin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":654601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liechti, Felix","contributorId":177094,"corporation":false,"usgs":false,"family":"Liechti","given":"Felix","email":"","affiliations":[],"preferred":false,"id":654602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hein, Cris D.","contributorId":73910,"corporation":false,"usgs":false,"family":"Hein","given":"Cris","email":"","middleInitial":"D.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":654603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schirmacher, Michael R.","contributorId":76635,"corporation":false,"usgs":false,"family":"Schirmacher","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":654604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":654605,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178591,"text":"70178591 - 2016 - Primary production in the Delta: Then and now","interactions":[],"lastModifiedDate":"2018-09-13T15:42:44","indexId":"70178591","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Primary production in the Delta: Then and now","docAbstract":"To evaluate the role of restoration in the recovery of the Delta ecosystem, we need to have clear targets and performance measures that directly assess ecosystem function. Primary production is a crucial ecosystem process, which directly limits the quality and quantity of food available for secondary consumers such as invertebrates and fish. The Delta has a low rate of primary production, but it is unclear whether this was always the case. Recent analyses from the Historical Ecology Team and Delta Landscapes Project provide quantitative comparisons of the areal extent of 14 habitat types in the modern Delta versus the historical Delta (pre-1850). Here we describe an approach for using these metrics of land use change to: (1) produce the first quantitative estimates of how Delta primary production and the relative contributions from five different producer groups have been altered by large-scale drainage and conversion to agriculture; (2) convert these production estimates into a common currency so the contributions of each producer group reflect their food quality and efficiency of transfer to consumers; and (3) use simple models to discover how tidal exchange between marshes and open water influences primary production and its consumption. Application of this approach could inform Delta management in two ways. First, it would provide a quantitative estimate of how large-scale conversion to agriculture has altered the Delta's capacity to produce food for native biota. Second, it would provide restoration practitioners with a new approach—based on ecosystem function—to evaluate the success of restoration projects and gauge the trajectory of ecological recovery in the Delta region.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2016v14iss3art1","usgsCitation":"Cloern, J.E., Robinson, A., Richey, A., Grenier, L., Grossinger, R., Boyer, K.E., Burau, J., Canuel, E.A., DeGeorge, J.F., Drexler, J., Enright, C., Howe, E.R., Kneib, R., Mueller-Solger, A., Naiman, R.J., Pinckney, J.L., Safran, S.M., Schoellhamer, D., and Simenstad, C.A., 2016, Primary production in the Delta: Then and now: San Francisco Estuary and Watershed Science, v. 3, no. 14, Article 1; 9 p., https://doi.org/10.15447/sfews.2016v14iss3art1.","productDescription":"Article 1; 9 p.","ipdsId":"IP-075429","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss3art1","text":"Publisher Index 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0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654581,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Simenstad, Charles A.","contributorId":88477,"corporation":false,"usgs":false,"family":"Simenstad","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":654582,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70177947,"text":"70177947 - 2016 - Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015","interactions":[],"lastModifiedDate":"2017-01-17T19:09:07","indexId":"70177947","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015","docAbstract":"